Relevant bibliographies by topics / Hospital-based data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hospital-based data'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Hospital-based data"

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Haitao Liu, and Dongli Yue. "Hospital Data Loading Agent Based on HL7." Journal of Convergence Information Technology 7, no. 10 (2012): 412–20. http://dx.doi.org/10.4156/jcit.vol7.issue10.49.

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Clark, David E., and David R. Hahn. "Hospital Trauma Registries Linked with Population-Based Data." Journal of Trauma: Injury, Infection, and Critical Care 47, no. 3 (1999): 448–54. http://dx.doi.org/10.1097/00005373-199909000-00003.

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Meyer, Jenna, Barbara Pascoe, Paula K. Schreck, and Lisa Stellwagen. "Hospital-Based Breastfeeding Data Collection in the USA." Journal of Human Lactation 29, no. 1 (2012): 11–14. http://dx.doi.org/10.1177/0890334412471331.

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Gope, Shauni, Juthika Debbarma, and Pranab Choudhury. "A Facility-Based Secondary Data Analysis of Sexual Assault Cases at Tertiary Care Hospital, Tripura." SSR Institute of International Journal of Life Sciences 10, no. 5 (2024): 6460–67. https://doi.org/10.21276/ssr-iijls.2024.10.6.15.

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van der Velden, Jacobus, Arnold C. M. van Lindert, Charles H. F. Gimbrere, Hans Oosting, and A. Peter M. Heintz. "Epidemiologic Data on Vulvar Cancer: Comparison of Hospital with Population-Based Data." Gynecologic Oncology 62, no. 3 (1996): 379–83. http://dx.doi.org/10.1006/gyno.1996.0252.

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Innes, Kerry, Kirsten McKenzie, and Sue Walker. "Public reporting of hospital outcomes based on administrative data." Medical Journal of Australia 185, no. 10 (2006): 574. http://dx.doi.org/10.5694/j.1326-5377.2006.tb00696.x.

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Scott, Ian A., and Michael Ward. "Public reporting of hospital outcomes based on administrative data." Medical Journal of Australia 185, no. 10 (2006): 574. http://dx.doi.org/10.5694/j.1326-5377.2006.tb00697.x.

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Huang, Qiuzi, Shuyu Chen, Hui Zhao, and Junhao Wen. "Blockchain-based Intelligent Hospital Security and Data Privacy Construction." Journal of Physics: Conference Series 1187, no. 5 (2019): 052064. http://dx.doi.org/10.1088/1742-6596/1187/5/052064.

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Bajracharya, L. "M158 HOSPITAL BASED RETROSPECTIVE PAC DATA ON ABORTION COMPLICATIONS." International Journal of Gynecology & Obstetrics 119 (October 2012): S583. http://dx.doi.org/10.1016/s0020-7292(12)61352-6.

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Liang, Yixin, and Lindu Zhao. "Intelligent Hospital Appointment System Based on Health Data Bank." Procedia Computer Science 159 (2019): 1880–89. http://dx.doi.org/10.1016/j.procs.2019.09.360.

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Dissertations / Theses on the topic "Hospital-based data"

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Quarranttey, George K. "Falls and Related Injuries Based on Surveillance Data: U.S. Hospital Emergency Departments." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2011.

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Falls can lead to unintentional injuries and possibly death, making falls an important public health problem in terms of related health care cost, incurred disabilities, and years of life lost. Approximately 1 in every 3 Americans ages 65 years and older is at risk of falling at least once every year. Children, young adults, and middle-aged adults are also vulnerable to falls. The purpose of this study was to examine the epidemiology of falls and fall-related injuries using surveillance data from nationally representative samples of hospital emergency departments in United States. The study was guided by a social-ecological model on the premise that multiple levels of risk factors affect health. Using a cross-sectional study and archival data from NEISS-AIP between 2009 and 2011, the result of multiple logistic regression indicated that age, gender, race and body part affected were significantly associated with hospitalization due to falls (p < .001) and incident locale independently predicted hospitalization due to falls in which hospitalization due to falls was considered a proxy measure of fall severity. The odds in each of the groups for fall injuries were (a) older adults versus children, 1.07 (95% CI: 1.05-1.08); (b) males versus females, 1.23 (95% CI: 1.21-1.26); (c) Blacks versus Whites, 2.12 (95% CI: 2.11-2.13); (d) body part extremities versus head area, 0.98 (95% CI: 0.97-0.99); and (e) outside home versus inside home, 1.14 (95% CI: 1.13-1.15). The results of this study may be important in forming and implementing age-specific prevention strategies and specialized safety training programs for all age groups, thereby reducing deaths, disabilities, and considerable health care cost associated with hospitalization due to fall-related injuries.
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Hirose, Masahiro. "Profiling hospital performance of laparoscopic cholecystectomy based on the administrative data of four teaching hospitals in Japan." 京都大学 (Kyoto University), 2005. http://hdl.handle.net/2433/145168.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(社会健康医学)<br>甲第11469号<br>社医博第6号<br>新制||社医||2(附属図書館)<br>23112<br>UT51-2005-D219<br>京都大学大学院医学研究科社会健康医学系専攻<br>(主査)教授 小泉 昭夫, 教授 佐藤 俊哉, 教授 平出 敦<br>学位規則第4条第1項該当
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Majewski, David. "The Epidemiology of Out of Hospital Cardiac Arrest in Western Australia: A Population-based linked Data Study." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/89254.

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This thesis investigates the epidemiology of out-of-hospital cardiac arrest (OHCA), in Perth, Western Australia. The thesis examines long-term trends in OHCA incidence and survival, with subsequent detailed analyses of the equivalence of different survival metrics, the long-term survival of OHCA patients relative to the general population, and the role of initial cardiac arrest rhythm in long-term survival. In addition, the thesis includes a systematic review of the association between patient comorbidity and OHCA survival.
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Roczen, Marisa L. "Provision of Hospital-based Palliative Care and the Impact on Organizational and Patient Outcomes." VCU Scholars Compass, 2016. https://scholarscompass.vcu.edu/etd/4432.

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Hospital-based palliative care services aim to streamline medical care for patients with chronic and potentially life-limiting illnesses by focusing on individual patient needs, efficient use of hospital resources, and providing guidance for patients, patients’ families and clinical providers toward making optimal decisions concerning a patient’s care. This study examined the nature of palliative care provision in U.S. hospitals and its impact on selected organizational and patient outcomes, including hospital costs, length of stay, in-hospital mortality, and transfer to hospice. Hospital costs and length of stay are viewed as important economic indicators. Specifically, lower hospital costs may increase a hospital’s profit margin and shorter lengths of stay can enable patient turnover and efficiency of care. Higher rates of hospice transfers and lower in-hospital mortality may be considered positive outcomes from a patient perspective, as the majority of patients prefer to die at home or outside of the hospital setting. Several data sources were utilized to obtain information about patient, hospital, and county characteristics; patterns of hospitals’ palliative care provision; and patients’ hospital costs, length of stay, in-hospital mortality, and transfer to hospice (if a patient survived hospitalization). The study sample consisted of 3,763,339 patients; 348 urban, general, short-term, acute care, non-federal hospitals; and 111 counties located in six states over a 5-year study (2007-2011). Hospital-based palliative care provision was measured by the presence of three palliative care services, including inpatient palliative care consultation services (PAL), inpatient palliative care units (IPAL), and hospice programs (HOSPC). Derived from Institutional Theory, Resource Dependence Theory, and Donabedian’s Structure Process-Outcome framework, 13 hypotheses were tested using a hierarchical (generalized) linear modeling approach. The study findings suggested that hospital size was associated with a higher probability of hospital-based palliative care provision. Conversely, the presence of palliative care services through a hospital’s health system, network, or joint venture was associated with a lower probability of hospital-based palliative care provision. The study findings also indicated that hospitals with an IPAL or HOSPC incurred lower hospital costs, whereas hospitals with PAL incurred higher hospital costs. The presence of PAL, IPAL, and HOSPC was generally associated with a lower probability of in-hospital mortality and transfer to hospice. Finally, the effects of hospital-based palliative care services on length of stay were mixed, and further research is needed to understand this relationship.
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Palmer, William. "Measuring the quality and safety of hospital care using specialty-specific indicators based on routinely collected administrative data : a feasibility study." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24697.

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Using administrative data to measure the quality and safety of hospital care offers many opportunities. However, progress has been limited to few countries and predominantly to a small subset of broad measures, such as Hospital Standardised Mortality Rates. In this thesis, I investigate the potential advantages and feasibility - in terms of validity and applicability - of specialty-specific indicators. In the first part of my PhD work, I examine the case for specialty-specific indicators. I also present potential applications which overcome some of the existing shortcomings of previous uses of indicators based on administrative data. In the next stage of the project I focus on assessing feasibility by focusing on two specialties - stroke and obstetric care - conducting systematic reviews and consulting with experts to develop two indicator sets. As part of this, I identified the shortcomings in current use of indicators in these specialties. To investigate the limitations of these indicators, I applied the indicator definitions to English hospital administrative data (Hospital Episode Statistics, HES) and evaluated whether they can be used to discriminate between hospitals based on their performance and, importantly, to understand the effect of differences in coding practice. The final aspect of the research was to investigate alternative applications for the indicators which can overcome some of the shortcomings highlighted in both the prior analyses and existing literature. In doing so, I raise serious, robust shortcomings on the quality and safety of weekend care.
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Fabiato, Francois Stephane. "Predicting physical fitness outcomes of exercise rehabilitation: An retrospective examination of program admission data from patient records in a hospital-based early outpatient cardiac rehabilitation program." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36880.

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Economic justification for rehabilitative services has resulted in the need for outcome based research which could quantify success or failure in individual patients and formulate baseline variables which could predict outcomes. The purpose of this study is to investigate the utilization of baseline clinical, exercise test, and psychosocial variables to predict clinically relevant changes in exercise tolerance of cardiac patients who participated in early outpatient cardiac rehabilitation. Clinical records were analyzed retrospectively to obtain clinical, psychosocial and exercise test data for 94 patients referred to an early outpatient cardiac rehabilitation program at a large urban hospital in the Southeast US. All patients participated in supervised exercise training 3d/wk for 2-3 months. A standardized training outcome score STO) was devised to evaluate training effect by tabulating changes in patients predicted VO2, body weight and exercising heart rates after 8-12 weeks of exercise based cardiac rehabilitation. STO = Predicted VO2 change + BW change- HR change. The Multi-Factorial Analysis was applied to derive coefficients in the STO formula so that the STO scores reflected the independent effects of BW, HR and Predicted V02 changes on training outcome. Patients were classified into one of three possible outcome categories based on STO scores, i.e. improvement, no change, or decline. Thresholds for classifying patients were the following; STO scores greater than or equal to 3 SEM above the mean = improved, (N= 40: 41%), STO scores less than or equal to 3 SEM below the mean = decline, (N=34: 35%), STO scores within 3 SEM= no change, (N=23: 24%). Multiple logistic regression was used to identify patient attributes predictive of improvement, decline, or no change from measures routinely collected at the point of admission to rehabilitation. The model for prediction of improvement correctly classified 70% of patients as those who improved vs. those who did not (sensitivity 70%, specificity 71%). This model generated the following variables as having predictive capabilities; recent CABG, emotional status, social status, calcium channel blocker, recent angioplasty, maximum diastolic BP, maximum systolic BP and resting systolic BP. The model for predicting those who declined vs. those who did not decline demonstrated higher correct classification rate of 74% and specificity (84%). This model generated the following variables as having predictive capabilities; social status, calcium channel blocker, orthopedic limitation, role function, QOL score and Digitalis. However, these models may include certain bias because the same observations to fit the model were also used to estimate the classification errors. Therefore, cross validation was performed utilizing the single point deletion method; this method yielded somewhat lower fraction correct classification rates (66%,69%) and sensitivity rates (56%,44%) for improvement vs. no improvement and decline vs. no decline groups respectively. Conclusion A combined set of baseline clinical, psychosocial and exercise measures can demonstrate moderate success in predicting training outcome based on STO scores in hospital outpatient cardiac rehabilitation. In contrast psychosocial data seem to account for more of the variance in prediction of decline than other types of baseline variables examined in this study. Baseline blood pressure responses both at rest and during exercise were the greatest predictors of improvement. However, cross validation of these models indicates that these results could be biased eliciting overly optimistic predictive capabilities, due to the analysis of fitted data. These models need to be validated in independent sample with patients in similar settings.<br>Master of Science
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Nakamura, Tsukasa. "Clinical prediction rules for bacteremia and in-hospital death based on clinical data at the time of blood withdrawal for culture : an evaluation of their development and use." Kyoto University, 2007. http://hdl.handle.net/2433/135907.

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Azami, Ikram El. "Ingéniérie des Systèmes d'Information Coopératifs, Application aux Systèmes d'Information Hospitaliers." Thesis, Valenciennes, 2012. http://www.theses.fr/2012VALE0013.

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Dans cette thèse, nous traitons les systèmes d’information hospitaliers (SIH), nous analysons leurs problématiques de conception, d’interopérabilité et de communication, dans l’objectif de contribuer à la conception d’un SIH canonique, coopératif, et communicant, ainsi de modéliser les échanges entre ses composants et également avec les autres systèmes impliqués dans la prise en charge du patient dans un réseau de soin. Nous proposons une structure et un modèle de conception d’un SIH canonique en se basant sur trois concepts principaux responsables de la production de l’information médicale, à savoir, le cas pathologique, le Poste de Production de l’Information Médicale (PPIM) et l’activité médicale elle même. Cette dernière, étant modélisée sur la notion d’arbre, permettra une meilleure structuration du processus de soin.Autant, dans l’optique d'assurer la continuité de soins, nous fournissons un modèle d’échange de données médicales à base du standard XML. Ce modèle consiste en un ensemble de données pertinentes organisées autours de cinq catégories : les données du patient, les données sur les antécédents du patient, les données de l’activité médicale, les données des prescriptions médicales et les données sur les documents médicaux (images, compte rendu…).Enfin, nous décrivons une solution d’intégration des systèmes d’information hospitaliers. La solution est inspirée de l’ingénierie des systèmes d’information coopératifs et consiste en une architecture de médiation structurée en trois niveaux : le niveau système d’information, le niveau médiation, et le niveau utilisateur. L’architecture propose une organisation modulaire des systèmes d'information hospitaliers et contribue à satisfaire l’intégration des données, des fonctions et du workflow de l’information médicale<br>In this thesis, we deal with hospital information systems (HIS), we analyze their design issues, interoperability and communication, with the aim of contributing to the design of a canonical, cooperative, and communicative HIS, and model the exchanges between its components and also with other systems involved in the management of patient in a healthcare network.We propose a structure and a conceptual model of a canonical HIS based on three main concepts involved in the production of healthcare data, namely, the pathological case, the Production Post of Healthcare Data (PPHD) and medical activity itself. The latter, being modeled as a tree, will allow better structuring of the care process.However, in view of ensuring continuity of care, we provide an XML-based model for exchanging medical data. This model consists of a set of relevant data organized around five categories: patient data, data on patient history, data of medical activity, data of medical prescriptions and medical records data (images, reporting ...).Finally, we describe a solution for integrating hospital information systems. The solution is inspired by the engineering of cooperatives information systems and consists of mediation-based architecture, structured into three levels: the level of information systems, the level of mediation, and the user level. The architecture offers a modular organization of hospital information systems and helps to insure data, function and workflow integration
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Sasaki, Noriko. "Development and Validation of an Acute Heart Failure-Specific Mortality Predictive Model Based on Administrative Data." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188706.

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Fenollosa, Artés Felip. "Contribució a l'estudi de la impressió 3D per a la fabricació de models per facilitar l'assaig d'operacions quirúrgiques de tumors." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/667421.

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La present tesi doctoral s’ha centrat en el repte d’aconseguir, mitjançant Fabricació Additiva (FA), models per a assaig quirúrgic, sota la premissa que els equips per fer-los haurien de ser accessibles a l’àmbit hospitalari. L’objectiu és facilitar l’extensió de l’ús dels prototips com a eina de preparació d’operacions quirúrgiques, transformant la pràctica mèdica actual de la mateixa manera que en el seu moment ho van fer tecnologies com les que van facilitar l’ús de radiografies. El motiu d’utilitzar FA, en lloc de tecnologies més tradicionals, és la seva capacitat de materialitzar de forma directa les dades digitals obtingudes de l’anatomia del pacient mitjançant sistemes d’escanejat tridimensional, fent possible l’obtenció de models personalitzats. Els resultats es centren en la generació de nou coneixement sobre com aconseguir equipaments d’impressió 3D multimaterials accessibles que permetin l’obtenció de models mimètics respecte als teixits vius. Per facilitar aquesta buscada extensió de la tecnologia, s’ha focalitzat en les tecnologies de codi obert com la Fabricació per Filament Fos (FFF) i similars basades en líquids catalitzables. La recerca s’alinea dins l’activitat de desenvolupament de la FA al CIM UPC, i en aquest àmbit concret amb la col·laboració amb l’Hospital Sant Joan de Déu de Barcelona (HSJD). El primer bloc de la tesi inclou la descripció de l’estat de l’art, detallant les tecnologies existents i la seva aplicació a l’entorn mèdic. S’han establert per primer cop unes bases de caracterització dels teixits vius -sobretot tous- per donar suport a la selecció de materials que els puguin mimetitzar en un procés de FA, a efectes de millorar l’experiència d’assaig dels cirurgians. El caràcter rígid dels materials majoritàriament usats en impressió 3D els fa poc útils per simular tumors i altres referències anatòmiques. De forma successiva, es tracten paràmetres com la densitat, la viscoelasticitat, la caracterització dels materials tous a la indústria, l’estudi del mòdul elàstic de teixits tous i vasos, la duresa d’aquests, i requeriments com l’esterilització dels models. El segon bloc comença explorant la impressió 3D mitjançant FFF. Es classifiquen les variants del procés des del punt de vista de la multimaterialitat, essencial per fer models d’assaig quirúrgic, diferenciant entre solucions multibroquet i de barreja al capçal. S’ha inclòs l’estudi de materials (filaments i líquids) que serien més útils per mimetitzar teixits tous. Es constata com en els líquids, en comparació amb els filaments, la complexitat del treball en processos de FA és més elevada, i es determinen formes d’imprimir materials molt tous. Per acabar, s’exposen sis casos reals de col·laboració amb l’HJSD, una selecció d’aquells en els que el doctorand ha intervingut en els darrers anys. L’origen es troba en la dificultat de l’abordatge d’operacions de resecció de tumors infantils com el neuroblastoma, i a la iniciativa del Dr. Lucas Krauel. Finalment, el Bloc 3 té per objecte explorar nombrosos conceptes (fins a 8), activitat completada al llarg dels darrers cinc anys amb el suport dels mitjans del CIM UPC i de l’activitat associada a treballs finals d’estudis d’estudiants de la UPC, arribant-se a materialitzar equipaments experimentals per validar-los. La recerca ampla i sistemàtica al respecte fa que s’estigui més a prop de disposar d’una solució d’impressió 3D multimaterial de sobretaula. Es determina que la millor via de progrés és la de disposar d’una pluralitat de capçals independents a fi de capacitar la impressora 3D per integrar diversos conceptes estudiats, materialitzant-se una possible solució. Cloent la tesi, es planteja com seria un equipament d’impressió 3D per a models d’assaig quirúrgic, a fi de servir de base per a futurs desenvolupaments.<br>La presente tesis doctoral se ha centrado en el reto de conseguir, mediante Fabricación Aditiva (FA), modelos para ensayo quirúrgico, bajo la premisa que los equipos para obtenerlos tendrían que ser accesibles al ámbito hospitalario. El objetivo es facilitar la extensión del uso de modelos como herramienta de preparación de operaciones quirúrgicas, transformando la práctica médica actual de la misma manera que, en su momento, lo hicieron tecnologías como las que facilitaron el uso de radiografías. El motivo de utilizar FA, en lugar de tecnologías más tradicionales, es su capacidad de materializar de forma directa los datos digitales obtenidos de la anatomía del paciente mediante sistemas de escaneado tridimensional, haciendo posible la obtención de modelos personalizados. Los resultados se centran en la generación de nuevo conocimiento para conseguir equipamientos de impresión 3D multimateriales accesibles que permitan la obtención de modelos miméticos respecto a los tejidos vivos. Para facilitar la buscada extensión de la tecnología, se ha focalizado en las tecnologías de código abierto como la Fabricación por Hilo Fundido (FFF) y similares basadas en líquidos catalizables. Esta investigación se alinea dentro de la actividad de desarrollo de la FA en el CIM UPC, y en este ámbito concreto con la colaboración con el Hospital Sant Joan de Déu de Barcelona (HSJD). El primer bloque de la tesis incluye la descripción del estado del arte, detallando las tecnologías existentes y su aplicación al entorno médico. Se han establecido por primera vez unas bases de caracterización de los tejidos vivos – principalmente blandos – para dar apoyo a la selección de materiales que los puedan mimetizar en un proceso de FA, a efectos de mejorar la experiencia de ensayo de los cirujanos. El carácter rígido de los materiales mayoritariamente usados en impresión 3D los hace poco útiles para simular tumores y otras referencias anatómicas. De forma sucesiva, se tratan parámetros como la densidad, la viscoelasticidad, la caracterización de materiales blandos en la industria, el estudio del módulo elástico de tejidos blandos y vasos, la dureza de los mismos, y requerimientos como la esterilización de los modelos. El segundo bloque empieza explorando la impresión 3D mediante FFF. Se clasifican las variantes del proceso desde el punto de vista de la multimaterialidad, esencial para hacer modelos de ensayo quirúrgico, diferenciando entre soluciones multiboquilla y de mezcla en el cabezal. Se ha incluido el estudio de materiales (filamentos y líquidos) que serían más útiles para mimetizar tejidos blandos. Se constata como en los líquidos, en comparación con los filamentos, la complejidad del trabajo en procesos de FA es más elevada, y se determinan formas de imprimir materiales muy blandos. Para acabar, se exponen seis casos reales de colaboración con el HJSD, una selección de aquellos en los que el doctorando ha intervenido en los últimos años. El origen se encuentra en la dificultad del abordaje de operaciones de resección de tumores infantiles como el neuroblastoma, y en la iniciativa del Dr. Lucas Krauel. Finalmente, el Bloque 3 desarrolla numerosos conceptos (hasta 8), actividad completada a lo largo de los últimos cinco años con el apoyo de los medios del CIM UPC y de la actividad asociada a trabajos finales de estudios de estudiantes de la UPC, llegándose a materializar equipamientos experimentales para validarlos. La investigación amplia y sistemática al respecto hace que se esté más cerca de disponer de una solución de impresión 3D multimaterial de sobremesa. Se determina que la mejor vía de progreso es la de disponer de una pluralidad de cabezales independientes, a fin de capacitar la impresora 3D para integrar diversos conceptos estudiados, materializándose una posible solución. Para cerrar la tesis, se plantea cómo sería un equipamiento de impresión 3D para modelos de ensayo quirúrgico, a fin de servir de base para futuros desarrollos.
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Books on the topic "Hospital-based data"

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Karmel, Rosemary. Comparing name-based and event-based strategies for data linkage: A study linking hospital and residential aged care data for Western Australia. Australian Institute of Health and Welfare, 2007.

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McDonald, Kathryn M. Measures of patient safety based on hospital administrative data-- the patient safety indicators. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Healthcare Research and Quality, 2002.

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Saini, A. K. Management information system (MIS) in hospitals: A computer-based approach for quality in hospital services and administration. Deep & Deep Publications, 1999.

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Shaun, Stephenson, Australian Institute of Health and Welfare., and Flinders University of South Australia. Research Centre for Injury Studies., eds. Diagnosis-based injury severity scaling: A method using Australian and New Zealand hospital data coded to ICD-10-AM. Australian Institute of Health and Welfare, 2003.

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Utah Health Data Committee. and Utah. Dept. of Health. Office of Health Data Analysis., eds. Utah hospitals: Performance ratios and financial tables : based on Medicare cost report data, 1988-1992 (FR-1). Utah Health Data Committee, 1995.

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Murashko, Mikhail, Igor Ivanov, and Nadezhda Knyazyuk. THE BASICS OF MEDICAL CARE QUALITY AND SAFETY PROVISION. Advertising and Information Agency "Standards and quality», 2020. http://dx.doi.org/10.35400/978-5-600-02711-4.

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SUMMARY&#x0D; &#x0D; Current monograph represents and reviews key approaches to creating an effective internal quality and safety control system for an organization, based on patient-oriented approach, process approach, risk management, continuous process improvement and other methods including definition of all applied terms, a number of examples and step by step manuals on executing key measures and events to create and develop a quality control system and local documentation samples.&#x0D; Target audience for this monograph: hospital leadership, including CMO, deputy CMO on quality, head of quality control committee or designated quality control specialist, other medical workers.&#x0D; &#x0D; ABOUT «THE BASICS OF MEDICAL CARE QUALITY AND SAFETY PROVISION»&#x0D; All changes and reforms in healthcare should provide for medical care quality improvement, preservation of life and health of all citizens. Once an abstract word “quality” has its’ own specific meaning today, acquired by means of legislative validation of the term “medical care quality and safety”. Providing healthcare quality and safety is one of the key priorities within the confines of Russian Federation national policy for citizens’ health protection. &#x0D; Current issue represents actual knowledge and practical experience in terms of medical care quality and safety control, continuous medical organization efficiency improvement. Current issue addresses the matters of theoretical and practical aspects of introducing management and internal quality and safety control system in medical care. It also contains the methodological description of Proposals (practical recommendations) of Federal Service for Supervision in the Sphere of Healthcare, developed based on global experience generalization, adapted to Russian specificity, aimed at quality and safety provision. Current issue represents a large number of samples, examples, templates and check-list tables. Data, accumulated in the monograph, allows the reader create a proper system of measures in a medical organization to comply with the order № 381-н of Ministry of Health of Russian Federation «On approving Requirements towards organizing and executing medical care internal quality and safety control». &#x0D; &#x0D; TARGET AUDIENCE&#x0D; Current issue is intended for a wide range of readers, interested in management: for healthcare organization leaders, CMOs and deputy CMOs, deputy CMOs on quality, quality control committee leaders or designated quality control specialists, physicians, nurses, medical academicians and students, and all specialists, interested in medical organizations’ stable development and improvement.
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Office, General Accounting. Medicaid: Three states' experiences in buying employer-based health insurance : report to the Chairman, Committee on Commerce, House of Representatives. The Office, 1997.

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Office, General Accounting. Medicaid: Three states' experiences in buying employer-based health insurance : report to the chairman, Committee on Commerce, House of Representatives. The Office, 1997.

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White, Chapin. RAND Hospital Data: Web-Based Tool. RAND Corporation, 2018. http://dx.doi.org/10.7249/tl303.

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Epstein, Irwin. Clinical Data Mining in Practice-Based Research: Social Work in Hospital Settings. Taylor & Francis Group, 2012.

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Book chapters on the topic "Hospital-based data"

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Savino, John A., and Rifat Latifi. "The Hospital of the Future: Evidence-Based, Data-Driven." In The Modern Hospital. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01394-3_35.

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Arabian, Sandra Strack, Glenn Tinkoff, and Christy Adams. "Developing a Data-Driven Approach for Injury and Violence Prevention." In Hospital-based Injury and Violence Prevention Programs. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20357-2_5.

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Kamaruddin, Siti Sakira, Farzana Kabir Ahmad, and Mohammed Ahmed Taiye. "LDA Based Topic Modeling on Hospital Facebook Posts." In Recent Advances in Soft Computing and Data Mining. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00828-3_14.

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Shanmugasundaram, G., P. Thiyagarajan, and A. Janaki. "A Survey of Cloud Based Healthcare Monitoring System for Hospital Management." In Proceedings of the International Conference on Data Engineering and Communication Technology. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1675-2_54.

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Carmichael, Ted, Mirsad Hadzikadic, and Ognjen Gajic. "Pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15420-1_3.

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Ma, Yuanling, Xiao Ma, Chengnan Pan, Runlin Li, and Zhi Fang. "Research on Equipment Management System of Smart Hospital Based on Data Visualization." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28787-9_29.

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Luo, Mengjie. "Prediction of hospital health expenditure based on GM (1.1) grey clustering model." In Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-102-9_120.

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Oga, Djiwa N’tèla, Pélagie Houngue, and Cheikh Sarr. "IoT-Based Data Security and Protection for Hospital Information Systems: A Knowledge Graph Analysis." In Intelligent Sustainable Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7663-6_9.

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Fatema, Nuzhat, Hasmat Malik, and Atif Iqbal. "Big-Data Analytics Based Energy Analysis and Monitoring for Multi-storey Hospital Buildings: Case Study." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1532-3_14.

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Giler Villavicencio, José Antonio, Marely del Rosario Cruz Felipe, and Dioen Biosca Rojas. "Analysis of the Proposal for the SOLCA Portoviejo Hospital Data Network Based on QoS Parameters." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80624-8_53.

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Conference papers on the topic "Hospital-based data"

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Morabito, Gabriele, Armando Ruggeri, Antonio Celesti, Massimo Villari, and Maria Fazio. "Intent-Based Pseudonymization for Healthcare Workflows on Intra-Hospital Data Space Domain." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00127.

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Kittappa, Thiagarajan, T. Padmavathi, Kumuda P.R, G. B. Suresh, G. Murugesan, and Revathi V. "An Intelligent Internet of Things Based Health Care Hospital Management of Medical Waste and its Segregation." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961033.

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Jiang, Peng, and Haiyan Qi. "Construction of Hospital Network Security Intrusion Detection System Based on Big Data Clustering Algorithm." In 2024 International Conference on Telecommunications and Power Electronics (TELEPE). IEEE, 2024. http://dx.doi.org/10.1109/telepe64216.2024.00091.

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Pawar, Bhushan, Lalit Garg, Vijay Prakash, et al. "Satellite-Derived NO2 Data to Predict Hospital Admissions: A Machine Learning-Based Approach." In 2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN). IEEE, 2024. https://doi.org/10.1109/emergin63207.2024.10960810.

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Li, Mingyang, Zhiyong Zhou, Tao Yang, and Yu Lu. "An intrusion detection model for hospital business flow data based on loss-oriented and multimodal active learning." In Second International Conference on Power Electronics and Artificial Intelligence (PEAI 2025), edited by Qiang Yang, Parikshit N. Mahalle, and Xuehe Wang. SPIE, 2025. https://doi.org/10.1117/12.3066757.

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Wihayanti, Titik, Hanif Fakhrurroja, Ferlistian Rizki Mirza Wiguna, Muhammad Hanif Zahran, Muhammad Hibban Mikhail, and Muharman Lubis. "Data Analysis of Patient Visits Using Linear Regression and Phyton Based on Regional Demographics and Age Range: A Case Study of Cisarua Psychiatric Hospital." In 2024 12th International Conference on Information and Communication Technology (ICoICT). IEEE, 2024. http://dx.doi.org/10.1109/icoict61617.2024.10698200.

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Tsumoto, Shusaku, Shoji Hirano, and Yuko Tsumoto. "Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.178.

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Im, Sea Jung, Yue Xu, and Jason Watson. "Semantic-based Attention model for Hospital Readmission Prediction." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020315.

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Tsumoto, Shusaku, and Shoji Hirano. "Hospital Management Based on Data Mining." In 2008 Eighth International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2008. http://dx.doi.org/10.1109/isda.2008.359.

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Lamber, Patrick, Bernd Ludwig, Francesco Ricci, Floriano Zini, and Manfred Mitterer. "Message-Based Patient Guidance in Day-Hospital." In 2011 12th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2011. http://dx.doi.org/10.1109/mdm.2011.77.

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Reports on the topic "Hospital-based data"

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Ortiz, Alexa, Wes Quattrone, Marcia Underwood, et al. The Development and Management of Community Benefit Insight: A Web-Based Resource That Aggregates US-Based Nonprofit Hospital Community Benefit Spending Data. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.op.0076.2207.

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Community Benefit Insight (CBI) is a publicly available, web-based resource that aggregates US-based nonprofit hospital community benefit spending data reported to the Internal Revenue Service (IRS) from 2010 through 2019. CBI aims to display these data within a clear, approachable interface, making information easy for a user to find and interpret. By making these data available and accessible, CBI can help inform conversations and partnerships between nonprofit hospitals and community stakeholders. This paper provides an overview of the development of the infrastructure that supports CBI’s capabilities; how IRS-released community benefit spending data are prepared and maintained for CBI’s use; and how the tool is currently used, promoted, and evaluated to better meet user needs.
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L, Santo, and Kang K. National Hospital Ambulatory Medical Care Survey: 2019 National Summary Tables. National Center for Health Statistics (U.S.), 2023. http://dx.doi.org/10.15620/cdc:123251.

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The Ambulatory and Hospital Care Statistics Branch of the National Center for Health Statistics (NCHS) is pleased to release the most current nationally representative data on ambulatory care visits to physician offices in the United States. Statistics are presented on physician practices as well as patient and visit characteristics using data collected in the 2019 National Ambulatory Medical Care Survey (NAMCS). NAMCS is an annual nationally representative sample survey of visits to nonfederal office-based patient care physicians, excluding anesthesiologists, radiologists, and pathologists.
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Ferdinand, Alva O., Marvellous Akinlotan, Timothy H. Callaghan, Samuel D. Towne Jr, and Jane Bolin. Diabetes-Related Hospital Mortality in Rural America: A Significant Cause for Concern. Southwest Rural Health Research Center, Texas A&M School of Public Health, 2018. http://dx.doi.org/10.21423/1969.1/201259.

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It has been reported that diabetes prevalence is higher in rural areas than in urban areas. Other studies have shown that rural persons with diabetes have higher morbidity from diabetes-related complications than urban persons with diabetes. This study used data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (2009-2014) to examine hospital-based diabetes-related mortality and whether there were urban-rural differences across census regions. On average 2.63% of all diabetes-related urban hospital admissions resulted in death, while 2.73% of all diabetes-related rural hospital admissions resulted in death (p&lt;0.001). Mortality rates were highest within rural areas of the South and Midwest (21.0 and 15.1 deaths per 100,000 population, respectively) compared to other areas in both regions. The noncore, micropolitan, and small metropolitan areas of the South had the highest average diabetes-related hospital mortality rates (21.0, 20.3, and 14.0 deaths per 100,000 population, respectively) compared to corresponding areas in the Northeast, Midwest, and West regions. Results suggest that substantial differences exist between rural and urban diabetes-related hospital mortality. Furthermore, the burden is especially pronounced for rural residents in the South and Midwest census regions.
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Young, Matthew M. Proposed Methods For Estimating Costs Of Mental Health In Canada (2007-2020). Greo Evidence Insights, 2023. http://dx.doi.org/10.33684/2023.002.

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This report presents the results of an investigation by Greo Evidence Insights into how Canadian mental health (MH) costs could be estimated. It begins by conducting a review of studies estimating the costs of MH in Canada since 2010 and examines the various approaches employed. Based on this analysis the next section makes recommendations regarding cost types to include, the granularity of the estimates, and the approach to missing/ incomplete data. The report then recommends a phased approach to estimating the cost of mental health: Phase I describes in detail the data sources and methods to estimate public, direct health care costs associated with general and psychiatric MH-related hospitalizations and emergency room visits and non-hospital-based interventions (i.e., physician costs, pharmaceutical costs, community MH services). Phase II describes methods for estimating social and income support payments and indirect costs. Finally, Phase III describes data sources and methods for estimating private health and lost productivity costs.
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Kumban, Wannisa, Anoma Santiworakul, and Salila Cetthakrikul. The effect of Animal Assisted Therapy on physical activity in elderly. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0049.

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Review question / Objective: What are the effect of Animal Assisted Therapy on physical activity in elderly. PICOs P: Elderly; I: Animal Assisted Therapy; C: Compare; O: Physical activity, physical fitness, health-related fitness; S: experimental study/ compare between group/ pre-post test. Eligibility criteria: Inclusion criteria comprised any studies that provided experimental study design or observational data on cross-sectional comparisons between groups. The outcome analyzed in this review was the effect of animal assisted or pet or human-animal interaction on physical activity that was studied in all elderly populations (age &gt; 60 years), in any setting e.g., home, community-based, or hospital. The articles were published in English full-text articles only between 2012 and 2022.
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Rast, Jessica E., Kaitlin H. Koffer Miller, Julianna Rava, et al. National Autism Indicators Report: Health and the COVID-19 Pandemic: July 2023. A.J. Drexel Autism Institute, 2023. http://dx.doi.org/10.17918/covidnair2023.

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The COVID-19 pandemic changed how autistic people accessed services and engaged in their communities, ultimately impacting their quality of life. Access to appropriate services and accommodations help autistic individuals in maintaining employment, pursuing education, caring for their health, and establishing independence. Changes in access to services result in long-term consequences, which can be dire for autistic people. In an effort to improve policies and programs for autistic individuals, documentation of disruptions in accessing services during the COVID-19 pandemic informs better evidence-based practices for future public health emergencies. This report examines the impact of the COVID-19 pandemic on health and healthcare among autistic children and adults. To build a comprehensive picture, we included various data sources, including health care claims and administrative records. We explored the availability of services for autistic children based on caregiver report from the National Survey of Children’s Health (NSCH). To understand hospitalization covered by both private and public health insurance, we used national emergency hospitalization records (via the National Emergency Department Sample [NEDS]) and hospital admissions data (via the National Inpatient Sample [NIS]). Finally, we used patient medical records from Kaiser Permanente Northern California (KPNC) to look at service utilization among adult autistic patients from Northern California over the same period. These data sources cover various populations, some of which provide nationally representative pictures of autistic children and adults, others cover specific or regional populations but cover diverse populations in terms of income and race and ethnicity.
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A, Bengolea, Chamorro F, Catalano HN, and Izcovich A. Assessing the safety and effectiveness of the bivalent vaccine against respiratory syncytial virus in pregnant women: a systematic review. Epistemonikos Interactive Evidence Synthesis, 2024. http://dx.doi.org/10.30846/ies.ac54af0724.

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Objective The aim of this systematic review is to conduct a comprehensive assessment of the efficacy and safety of the bivalent vaccine against the respiratory syncytial virus (RSV) compared to the placebo or the absence of vaccination in pregnant women to inform a clinical recommendation at the internal medicine department of Hospital Alemán of Buenos Aires. Methods In order to identify randomized clinical trials that evaluate our question of interest, we carry out thorough searches in Epistemonikos and Pubmed, from the date of creation of each source until January of the year 2024. Additionally, we consider additional sources to identify referencias that could not have been identified through electronic search. Two reviewers independently selected the studies included, extracted data and evaluated the risk of bias. We perform a quantitative synthesis (meta-analysis) and prepare summary tables of findings as recommended by the Grade Group. The results of this review were presented to a team of clinical experts of the internal medicine department of Hospital Alemán of Buenos Aires who analyzed and issued judgments for each of the criteria proposed within the framework of evidence to the decision. After issuing the judgments for each criterion, experts formulated the clinical recommendation for the problem of interest. Result Through the search strategy, 331 references were identified that were examined by title and summary. Of these, 14 references for the evaluation by full text were included. Finally, 2 randomized clinical trials were included. The bivalent vaccine against RSV in pregnant women probably decreases the risk of respiratory infection, severe respiratory infection and hospitalization by RSV in the newborn. The bivalent vaccine against RSV in pregnant women probably does not increase the risk of presenting serious adverse events in the mother and does not generate an increase in non -serious adverse events (both in the mother and in the newborn). The bivalent vaccine against RSV in pregnant women could generate a slight increase in serious adverse events in the newborn (13 more events for 1,000 newborns), however the certainty of evidence is low. Clinical recommendation Based on this body of evidence, the German Hospital of Buenos Aires conditionally recommends the use of the bivalent vaccine for RSV in pregnant patients (32 to 36 weeks of gestation) (CONDITIONAL RECOMMENDATION IN FAVOR, LOW CERTAINTY IN THE EVIDENCE). Conclusions The bivalent vaccine against RSV in pregnant women presents significant benefits by reducing the risk of severe respiratory infections in newborns, supported by overall safety in pregnant women.
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A, Bengolea, Chamorro F, Catalano HN, and Izcovich A. Assessing the safety and effectiveness of the bivalent vaccine against respiratory syncytial virus in pregnant women: a systematic review. Epistemonikos Interactive Evidence Synthesis, 2024. http://dx.doi.org/10.30846/ies.ac54af0724.v1.

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Objective The aim of this systematic review is to conduct a comprehensive assessment of the efficacy and safety of the bivalent vaccine against the respiratory syncytial virus (RSV) compared to the placebo or the absence of vaccination in pregnant women to inform a clinical recommendation at the internal medicine department of Hospital Alemán of Buenos Aires. Methods In order to identify randomized clinical trials that evaluate our question of interest, we carry out thorough searches in Epistemonikos and Pubmed, from the date of creation of each source until January of the year 2024. Additionally, we consider additional sources to identify referencias that could not have been identified through electronic search. Two reviewers independently selected the studies included, extracted data and evaluated the risk of bias. We perform a quantitative synthesis (meta-analysis) and prepare summary tables of findings as recommended by the Grade Group. The results of this review were presented to a team of clinical experts of the internal medicine department of Hospital Alemán of Buenos Aires who analyzed and issued judgments for each of the criteria proposed within the framework of evidence to the decision. After issuing the judgments for each criterion, experts formulated the clinical recommendation for the problem of interest. Result Through the search strategy, 331 references were identified that were examined by title and summary. Of these, 14 references for the evaluation by full text were included. Finally, 2 randomized clinical trials were included. The bivalent vaccine against RSV in pregnant women probably decreases the risk of respiratory infection, severe respiratory infection and hospitalization by RSV in the newborn. The bivalent vaccine against RSV in pregnant women probably does not increase the risk of presenting serious adverse events in the mother and does not generate an increase in non -serious adverse events (both in the mother and in the newborn). The bivalent vaccine against RSV in pregnant women could generate a slight increase in serious adverse events in the newborn (13 more events for 1,000 newborns), however the certainty of evidence is low. Clinical recommendation Based on this body of evidence, the German Hospital of Buenos Aires conditionally recommends the use of the bivalent vaccine for RSV in pregnant patients (32 to 36 weeks of gestation) (CONDITIONAL RECOMMENDATION IN FAVOR, LOW CERTAINTY IN THE EVIDENCE). Conclusions The bivalent vaccine against RSV in pregnant women presents significant benefits by reducing the risk of severe respiratory infections in newborns, supported by overall safety in pregnant women.
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Holland, Darren, and Nazmina Mahmoudzadeh. Foodborne Disease Estimates for the United Kingdom in 2018. Food Standards Agency, 2020. http://dx.doi.org/10.46756/sci.fsa.squ824.

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In February 2020 the FSA published two reports which produced new estimates of foodborne norovirus cases. These were the ‘Norovirus Attribution Study’ (NoVAS study) (O’Brien et al., 2020) and the accompanying internal FSA technical review ‘Technical Report: Review of Quantitative Risk Assessment of foodborne norovirus transmission’ (NoVAS model review), (Food Standards Agency, 2020). The NoVAS study produced a Quantitative Microbiological Risk Assessment model (QMRA) to estimate foodborne norovirus. The NoVAS model review considered the impact of using alternative assumptions and other data sources on these estimates. From these two pieces of work, a revised estimate of foodborne norovirus was produced. The FSA has therefore updated its estimates of annual foodborne disease to include these new results and also to take account of more recent data related to other pathogens. The estimates produced include: •Estimates of GP presentations and hospital admissions for foodbornenorovirus based on the new estimates of cases. The NoVAS study onlyproduced estimates for cases. •Estimates of foodborne cases, GP presentations and hospital admissions for12 other pathogens •Estimates of unattributed cases of foodborne disease •Estimates of total foodborne disease from all pathogens Previous estimates An FSA funded research project ‘The second study of infectious intestinal disease in the community’, published in 2012 and referred to as the IID2 study (Tam et al., 2012), estimated that there were 17 million cases of infectious intestinal disease (IID) in 2009. These include illness caused by all sources, not just food. Of these 17 million cases, around 40% (around 7 million) could be attributed to 13 known pathogens. These pathogens included norovirus. The remaining 60% of cases (equivalent to 10 million cases) were unattributed cases. These are cases where the causal pathogen is unknown. Reasons for this include the causal pathogen was not tested for, the test was not sensitive enough to detect the causal pathogen or the pathogen is unknown to science. A second project ‘Costed extension to the second study of infectious intestinal disease in the community’, published in 2014 and known as IID2 extension (Tam, Larose and O’Brien, 2014), estimated that there were 566,000 cases of foodborne disease per year caused by the same 13 known pathogens. Although a proportion of the unattributed cases would also be due to food, no estimate was provided for this in the IID2 extension. New estimates We estimate that there were 2.4 million cases of foodborne disease in the UK in 2018 (95% credible intervals 1.8 million to 3.1 million), with 222,000 GP presentations (95% Cred. Int. 150,000 to 322,000) and 16,400 hospital admissions (95% Cred. Int. 11,200 to 26,000). Of the estimated 2.4 million cases, 0.9 million (95% Cred. Int. 0.7 million to 1.2 million) were from the 13 known pathogens included in the IID2 extension and 1.4 million1 (95% Cred. Int. 1.0 million to 2.0 million) for unattributed cases. Norovirus was the pathogen with the largest estimate with 383,000 cases a year. However, this estimate is within the 95% credible interval for Campylobacter of 127,000 to 571,000. The pathogen with the next highest number of cases was Clostridium perfringens with 85,000 (95% Cred. Int. 32,000 to 225,000). While the methodology used in the NoVAS study does not lend itself to producing credible intervals for cases of norovirus, this does not mean that there is no uncertainty in these estimates. There were a number of parameters used in the NoVAS study which, while based on the best science currently available, were acknowledged to have uncertain values. Sensitivity analysis undertaken as part of the study showed that changes to the values of these parameters could make big differences to the overall estimates. Campylobacter was estimated to have the most GP presentations with 43,000 (95% Cred. Int. 19,000 to 76,000) followed by norovirus with 17,000 (95% Cred. Int. 11,000 to 26,000) and Clostridium perfringens with 13,000 (95% Cred. Int. 6,000 to 29,000). For hospital admissions Campylobacter was estimated to have 3,500 (95% Cred. Int. 1,400 to 7,600), followed by norovirus 2,200 (95% Cred. Int. 1,500 to 3,100) and Salmonella with 2,100 admissions (95% Cred. Int. 400 to 9,900). As many of these credible intervals overlap, any ranking needs to be undertaken with caution. While the estimates provided in this report are for 2018 the methodology described can be applied to future years.
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Cuenca, Janet. Efficiency of Local Governments in Health Service Delivery: A Stochastic Frontier Analysis. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.06.

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The study analyzes the efficiency implications of fiscal decentralization using stochastic frontier analysis (SFA). It uses health expenditure (in per capita real terms) data from local government units (LGUs) as input. The output variables of interest include access to safe water and sanitation, health facility-based delivery, and access to hospital inpatient services. It also uses LGU income and its major components (i.e., own-source revenue and income revenue allotment, in per capita real terms) as covariates, as well as the health expenditure decentralization ratio, to account for fiscal autonomy on the expenditure side. Two measures of fiscal decentralization were also used as factors affecting efficiency to account for financial/fiscal autonomy of the LGUs on the income side (i.e., the ratio of own-source revenue to expenditures and ratio of own-source revenue to income). Issues on mismatch between local government fiscal capacity and devolved functions, fragmentation of health system, existence of two-track delivery system, and unclear expenditure assignments, among others, inevitably create inefficiency. These issues should be addressed to fully reap the potential benefits (e.g., efficiency gains) from fiscal decentralization, particularly health devolution.
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