Relevant bibliographies by topics / Hospital mortality

Contents

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

Academic literature on the topic 'Hospital mortality'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Hospital mortality"

1

Crossingham, Iain. "Measuring Hospital Mortality." Acute Medicine Journal 12, no. 3 (July 1, 2013): 129–34. http://dx.doi.org/10.52964/amja.0304.

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The hospital standardised mortality ratio (HSMR) and the summary hospital mortality index (SHMI) are both in current use in the UK as measures of the performance of acute hospitals. Characteristics of both the acute hospital itself and of its local healthcare environment influence these indices. Whilst many hope that measures of mortality can be used as a surrogate for healthcare quality, this is an evolving area.
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Dubois, Robert W., William H. Rogers, John H. Moxley, David Draper, and Robert H. Brook. "Hospital Inpatient Mortality." New England Journal of Medicine 317, no. 26 (December 24, 1987): 1674–80. http://dx.doi.org/10.1056/nejm198712243172626.

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Green, Jesse. "Analyzing Hospital Mortality." JAMA 265, no. 14 (April 10, 1991): 1849. http://dx.doi.org/10.1001/jama.1991.03460140077030.

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Thengal, Dhuldev, Preeti Umate, and Mangala Shinde. "Determinants of Perinatal Mortality: A Hospital Based Study." Indian Journal of Obstetrics and Gynecology 5, no. 4 (2017): 490–95. http://dx.doi.org/10.21088/ijog.2321.1636.5417.8.

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Stewart, Kevin, Mohsin I. Choudry, and Rhona Buckingham. "Learning from hospital mortality." Clinical Medicine 16, no. 6 (December 2016): 530–34. http://dx.doi.org/10.7861/clinmedicine.16-6-530.

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Jacobson, B. "Hospital mortality league tables." BMJ 326, no. 7393 (April 12, 2003): 777–78. http://dx.doi.org/10.1136/bmj.326.7393.777.

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Iezzoni, Lisa I., Arlene S. Ash, Gerald A. Coffman, and Mark A. Moskowitz. "Predicting In-Hospital Mortality." Medical Care 30, no. 4 (April 1992): 347–59. http://dx.doi.org/10.1097/00005650-199204000-00005.

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Webster, G., and E. W. MD DrPH. "Hospital standardized mortality ratios." Canadian Medical Association Journal 179, no. 10 (November 4, 2008): 1036–37. http://dx.doi.org/10.1503/cmaj.1080101.

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Shojania, K. G., and A. J. Forster. "Hospital standardized mortality ratios." Canadian Medical Association Journal 179, no. 10 (November 4, 2008): 1037. http://dx.doi.org/10.1503/cmaj.1080102.

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Jencks, Stephen F. "Interpreting Hospital Mortality Data." JAMA 260, no. 24 (December 23, 1988): 3611. http://dx.doi.org/10.1001/jama.1988.03410240081036.

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Dissertations / Theses on the topic "Hospital mortality"

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Al-Haider, Abdolmohsin S. "Modeling the Determinants of Hospital Mortality." VCU Scholars Compass, 1988. https://scholarscompass.vcu.edu/etd/4329.

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This study examined hospital characteristics that affected the differential in hospital mortality, while controlling for the effect of community attributes. Analytical models for the determinants of hospital mortality were formulated and validated through an empirical examination of 243 hospitals that had higher or lower mortality rates than expected for Medicare beneficiaries. The dependent variable for this study was death rates for 1984 Medicare patients in united states hospitals released in 1986 by the Health Care Financing Administration. Structural equation models that portray the causal relation between organizational constructs and hospital mortality rate were formulated. This causal model was empirically validated. The findings suggest that the "size" effect on hospital mortality is a spurious one. Specialization was found to be negatively related to hospital mortality when the effects of other variables were simultaneously controlled. Hospitals having a higher degree of specialization tended to have a lower mortality rate. The effect of service intensity on hospital mortality was statistically significant when control variables were added into the equation. Thus, a hypothesized positive relationship between service intensity and hospital mortality was confirmed; the greater the service intensity, the higher the mortality. Ownership and crude death rate both had a negligible effect on hospital mortality. The only control variable that was statistically significant is "teaching status". The teaching hospitals had a lower mortality rate than nonteaching hospitals did when other organizational factors were controlled.
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Fan, Sheung Tat, and 范上達. "Hepatectomy for hepatocellular carcinoma: towards a zero hospital mortality." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31981653.

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Fan, Sheung-tat. "Hepatectomy for hepatocellular carcinoma : towards a zero hospital mortality /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19537220.

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Pangelinan, Michelle, Kathleen Whitmore, and Grant Skrepnek. "Charges and Mortality Associated with Melanoma Complications in a Hospital Setting." The University of Arizona, 2013. http://hdl.handle.net/10150/614277.

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Class of 2013 Abstract
Specific Aims: The purpose of this project was to determine inpatient charges, as well as define the frequency and mortality associated with the various sites of melanoma metastasis. Methods: Data was taken from the national database Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (H-CUP) Nationwide Inpatient Sample (NIS) and was collected on patients admitted into hospital with any diagnosis of melanoma with disease progression of distant metastasis. Logistic multivariate regression was used to find odds ration by patient characteristic. Overall charges were assessed using a gamma multivariant regression. Multiariant regression was used to determine other patient demographics. Main Results: Average inpatient charges for stage IV melanoma was $32,296 per patient with a national inpatient total bill of $5.56 billion. The metastatic sites associated with the highest inpatient charges were genitourinary tract (exp B = 1.276), gastrointestinal tract (exp B=1.146), bone (exp B=1.132), lung (exp B=1.097), and lymph (exp b=1.092). The most common sites of melanoma dissemination for in-patient mortality cases were lymph (21.7%), lung and respiratory (19.2%), central nervous system (17.1%), and bone (17.1%). Conclusion: The annual average hospital charges per patient for melanoma with distant metastasis is about $32,000. We suggest that metastases of the genitourinary tract, gastrointestinal tract, bone, lung, and lymphatic system are associated with the highest hospital charges, while metastases to the CNS, bone, liver, lung, GI, and wide dissemination are associated with increased mortality.
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Asadollahi, Khairollah. "Mortality association of routine laboratory variables in hospital admissions and introducing a new predictive mortality model." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430892.

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Chauke, Bafedile Evah. "A mortality profile of patients admitted to Dr George Mukhari Hospital in 2008." Thesis, University of Limpopo (Medunsa Campus), 2010. http://hdl.handle.net/10386/541.

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Thesis (M. Med. (Community Health))--University of Limpopo (Medunsa Campus), 2010.
Introduction: Mortality profiles form very important components of the public health information system and are used widely to inform important planning decisions at managerial level. Aim: To determine and describe the mortality profile of patients admitted to Dr George Mukhari Hospital in 2008. Methods and quality: Cause of death information was collected from the death notification register situated in the hospital mortuary. A representative sample of 6 months out of the 12 months of the year was chosen in such a way as to represent all the seasons of the year to minimize bias from seasonal variation that could influence cause of death patterns. A total of 3790 deaths were captured in the death register for 2008 and 1968 deaths (52%) of the deaths were analyzed. 53% of the deaths occurred in males while 47% were in females. Most of the records captured were complete with very minimal missing data variables for analysis. Findings: Non-communicable conditions contributed to the highest burden of mortality at 43%, followed by communicable diseases at 38%. HIV and AIDS seemed to be prominently contributing to mortality in Dr George Mukhari Hospital. In keeping with global statistics, cancer was also a leading cause of death in the older age groups. The neonatal period was the highest risk period for death in children under 5 years of age. Post neonatal children die more from pneumonia, diarrhoeal conditions and malnutrition. Discussions and conclusions: Routine statistics collected by the hospital should be modified to include some important variables such as additional information on the broad causes of death or even utilization of the National Injury Surveillance System to assist with decision making. There should be strategies to improve more accurate capturing of HIV and AIDS deaths and Injury related deaths. Based on the similarity of the mortality profile to the rest of the province and the country, existing national and provincial programme strategies can be used for better planning for the illustrated health service needs.
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Molloy, Eamonn S. "Cardiovascular outcomes and in-hospital mortality in fiant cell arteritis." Cleveland, Ohio : Case Western Reserve University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1212093974.

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Molloy, Eamonn S. "Cardiovascular Outcomes and In-Hospital Mortality in Giant Cell Arteritis." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1212093974.

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Huang, Jiajia, and L. Lee Glenn. "Effect of Geographic Region and Seasonality on Clostridium Difficile Incidence and Hospital Mortality." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/7459.

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The recent study by Argamany et al1 concluded that the incidence and hospital mortality for Clostridium difficile infection (CDI) differed between major regions of the United States and across different seasonal times of the year. However, these conclusions were not supported by the data in their study because the authors based them exclusively on statistical significance without considering the effect size of their findings. The effect sizes of region and season on CDI were very low or near zero, contradicting their conclusion, as subsequently explained.
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Shin, Jung-Ho. "New outcome-specific comorbidity scores excelled in predicting in-hospital mortality and healthcare charges in administrative databases." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263579.

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Books on the topic "Hospital mortality"

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Systems, Healthcare Knowledge, ed. Risk-adjusted hospital mortality norms. 3rd ed. Ann Arbor, Mich: Healthcare Knowledge Systems, 1989.

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Canadian Institute for Health Information., ed. HSMR: A new approach for measuring hospital mortality trends in Canada. Ottawa: Canadian Institute for Health Information = Institut canadien d'information sur la santé, 2007.

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Chassin, Mark R. Differences among hospitals in medicare patient mortality. Santa Monica, CA: Rand/UCLA/Harvard Center for Health Care Financing Policy Research, 1989.

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Li, Zhongmin. Hospitalization in Texas, 2001. Austin, Tex: Texas Health Care Information Council, 2003.

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Kamara, Sheku G. Patient mortality at Western State Hospital, 1989-1994. [Washington?]: Washington Institute, Western Branch, 1997.

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Kamara, Sheku G. Patient mortality at Western State Hospital, 1989-1994. [Washington?]: Washington Institute, Western Branch, 1997.

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Magadi, Monica A. Patient socio-demographic characteristics and hospital factors associated with maternal mortality in Kenyan hospitals. Nairobi, Kenya: African Population & Health Research Center, 2000.

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Consumers' guide to hospitals. 2nd ed. Washington, D.C: Consumers' Checkbook/Center for the Study of Services, 2009.

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Center for the Study of Services (Washington, D.C.), ed. Consumers' guide to hospitals: How to choose a hospital, death rates at 5,500 hospitals, best hospitals for specific types of cases, how to get the best care wherever you go, cutting your hospital costs. Washington, D.C: Center for the Study of Services, 1994.

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Thomas, Neal. A statistical framework for severity adjustment of hospital mortality rates. Santa Monica, CA: Rand, 1992.

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Book chapters on the topic "Hospital mortality"

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Kalter, Harold. "Hospital-Based Studies." In Mortality and Maldevelopment, 83–95. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5918-6_9.

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Alderson, Michael. "Hospital Discharge Statistics." In Mortality, Morbidity and Health Statistics, 240–84. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-09068-6_6.

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Kappagoda, C. T. "Trends in Pre-Hospital Mortality." In Developments in Cardiovascular Medicine, 31–45. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-2021-0_3.

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Norris, Robin M. "Hospital and Post-Hospital Mortality After Myocardial Infarction." In Developments in Cardiovascular Medicine, 47–65. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-2021-0_4.

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Farr, Norman Miles, and Brett D. Nelson. "Child Mortality in Developing Countries." In The MassGeneral Hospital for Children Handbook of Pediatric Global Health, 3–12. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7918-5_1.

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Omar, Hesham R., Devanand Mangar, and Enrico M. Camporesi. "Is Therapeutic Hypothermia Beneficial for Out-of-Hospital Cardiac Arrest?" In Reducing Mortality in Critically Ill Patients, 133–40. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17515-7_17.

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Schubert, A., R. Brown, C. Stanley, and T. M. Truxillo. "Mortality AHRQ Patient Safety Indicators 4 (Failure to Rescue) and 2 (Death in Low Mortality DRGs)." In Optimizing Widely Reported Hospital Quality and Safety Grades, 217–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04141-9_26.

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Zhang, Guanghui, John H. Zhang, and Xinyue Qin. "Fever Increased In-Hospital Mortality After Subarachnoid Hemorrhage." In Early Brain Injury or Cerebral Vasospasm, 239–43. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0353-1_42.

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Truxillo, T. M., A. Schubert, and R. Guthrie. "Importance of Risk-Adjusted Mortality in Hospital Quality Rankings." In Optimizing Widely Reported Hospital Quality and Safety Grades, 209–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04141-9_25.

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Garb, Jane L., Richard M. Engelman, John A. Rousou, Joseph E. Flack, David W. Deaton, Marie Mclntire, and Albert W. Peng. "Hospital Mortality and Cost following Coronary Artery Bypass Procedures." In Cardiac Surgery, 77–92. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1925-6_8.

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Conference papers on the topic "Hospital mortality"

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Demal, J. T., S. Pecha, L. Castro, J. Vogler, N. Gosau, M. Linder, S. Willems, H. Reichenspurner, and S. Hakmi. "In-Hospital Mortality after Transvenous Lead Extraction." In 48th Annual Meeting German Society for Thoracic, Cardiac, and Vascular Surgery. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1678795.

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Boas, Gustavo Di Lorenzo Villas, Maiara Silva Tramonte, Ana Claudia Pires Carvalho, Ana Elisa Vayego Fornazari, Marcos Minicucci, Gabriel Pinheiro Modolo, Natalia Cristina Ferreira, Laura Cardia Gomes Lopes, and Rodrigo Bazan. "Predictors of unfavorable outcome and in-hospital mortality after ischemic stroke." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.626.

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Background: stroke is the second leading cause of death and disability worldwide. The most significant factors for early mortality are age, severity of stroke (NIH stroke scale), atrial fibrillation (AF) and hypertension. Objective: elucidate the factors correlated with unfavorable outcome and mortality after ischemic stroke. Design/Setting: retrospective descriptive study conducted at the Botucatu Medical School Hospital. Methods: this study included 515 stroke patients, aged at least 18, admitted to ICU and stroke-unit between January/2017-December/2018. Baseline data, comorbidities and risk factors were collected and relation to unfavorable outcome and in-hospital mortality were evaluated. Unfavorable outcome was defined as dependency (modified Rankin Scale mRs 4–5). Results: overall, in-hospital mortality rate was 15% (77) and unfavorable outcome 36.7% (189). The patients average age was 69.18±13.08, and NIHSS at admission 9.27±8.41. NIHSS at admission and pre-morbid mRs were independently associated with unfavorable outcome, as each NIHSS point was responsible for 22% outcome increase. Both higher NIHSS and AF were independently associated with in-hospital mortality, increasing the death risk 19% and 3.5 times respectively. Conclusion: the main factor associated with overall in-hospital mortality and unfavorable outcome was stroke severity.
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Agolli, Loreta, Juliana Gjerazi, Silvana Bala, and Jul Bushati. "Clinical in-hospital mortality profile of pulmonary embolism." In ERS International Congress 2020 abstracts. European Respiratory Society, 2020. http://dx.doi.org/10.1183/13993003.congress-2020.3454.

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Serino Barbosa, Mariana, João Caldas, Nuno Melo, Ana Ferreira, David Garcia, and Patrícia Lourenço. "Predictors of in-hospital mortality in influenza infection." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa4538.

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Wood, Jennifer, Francesca Rees, Alex Webster, Anurag Agrawal, and Joanne Sayer. "P222 Does rifaximin affect hospital admissions and mortality?" In Abstracts of the BSG Campus, 21–29 January 2021. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2021. http://dx.doi.org/10.1136/gutjnl-2020-bsgcampus.297.

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Wang, Chen Yu, Kirsten Kangelaris, David R. Janz, Addison K. May, Gordon R. Bernard, Michael A. Matthay, Carolyn S. Calfee, and Lorraine B. Ware. "Long Term Mortality In Clinical Acute Lung Injury Is Dramatically Higher Than Hospital Mortality." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a2297.

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Thitithamawat, Saha, Prajak Chertchom, Panthep Buraphawichit, and Thanawat Thothong. "Association rules to analyze hospital resources with mortality rates." In 2018 5th International Conference on Business and Industrial Research (ICBIR). IEEE, 2018. http://dx.doi.org/10.1109/icbir.2018.8391165.

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ABI-FADEL, DINA, AMIT UPPAL, EZRA DWECK, MONA BASHAR, ERIC BONURA, MARY REID, WILLIAM ROM, and David Steiger. "In-hospital Pulmonary Embolism Mortality In Orthopedic Surgical Patients." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a1926.

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Garcez, Flávia Barreto, Wilson Jacob-Filho, and Thiago Junqueira Avelino-Silva. "EFFECT OF AMBIENT TEMPERATURE ON MORTALITY IN ACUTELY ILL HOSPITALIZED OLDER PATIENTS." In XXII Congresso Brasileiro de Geriatria e Gerontologia. Zeppelini Publishers, 2021. http://dx.doi.org/10.5327/z2447-21232021res03.

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OBJECTIVE: To investigate the association between extremes of temperature and increased hospital mortality in acutely ill older patients. METHODS: A prospective cohort study of acutely ill patients aged 60 years or older, admitted to the geriatric ward of Hospital das Clinicas at the University of Sao Paulo Medical School, from 2009 to 2015. Meteorological data were obtained through the System of Information on Air Quality of the state of Sao Paulo. The average daily temperatures were categorized according to percentiles (p). Temperatures at p95 and p90 were defined as extreme heat and those below p10 and p5 as extreme cold. We collected sociodemographic, clinical, functional, and laboratory data on admission using a standardized comprehensive geriatric assessment. The primary outcome was hospital mortality. We performed multivariate analyses using Cox proportional hazards model adjusted for confounders. RESULTS: We included 1403 patients, with a mean age of 80 years; 61% were women. The overall mortality was 19%. Temperature cutoffs by percentile were 15, 16, 25, and 26°C. The adjusted hazard ratio for all-cause mortality in the ≥ 26°C temperature group compared to the 16.1–25.0°C group was 1.89 (27 vs 18%; 95%CI 1.14–3.12; p = 0.013). There was no significant association between the other temperature groups and mortality. CONCLUSIONS: A daily temperature > 26°C was independently associated with increased hospital mortality. Health administrators and clinicians should be aware of the potential negative effects of high ambient temperatures on hospitalized older patients.
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Smith, Taylor D., Victor Ortiz-Soriano, Javier A. Neyra, and Jin Chen. "Identifying Acute Kidney Injury Trajectory Phenotypes Associated with Hospital Mortality." In 2019 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2019. http://dx.doi.org/10.1109/ichi.2019.8904739.

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Reports on the topic "Hospital mortality"

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Ciapponi, Agustín. Do pre-hospital trauma systems reduce mortality? SUPPORT, 2017. http://dx.doi.org/10.30846/170512.

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The majority of trauma deaths in low and middle income countries occur outside of hospitals. Improving pre hospital trauma care, such as emergency care through first responders and timely transport to an appropriate facility, has been suggested as a mechanism for reducing mortality and morbidity.
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Singh, Manasvini, and Atheendar Venkataramani. Capacity Strain and Racial Disparities in Hospital Mortality. Cambridge, MA: National Bureau of Economic Research, August 2022. http://dx.doi.org/10.3386/w30380.

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Gujral, Kritee, and Anirban Basu. Impact of Rural and Urban Hospital Closures on Inpatient Mortality. Cambridge, MA: National Bureau of Economic Research, August 2019. http://dx.doi.org/10.3386/w26182.

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Afendulis, Christopher, Michael Chernew, and Daniel Kessler. The Effect of Medicare Advantage on Hospital Admissions and Mortality. Cambridge, MA: National Bureau of Economic Research, June 2013. http://dx.doi.org/10.3386/w19101.

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Hollingsworth, Alex, Krzysztof Karbownik, Melissa Thomasson, and Anthony Wray. The Gift of a Lifetime: The Hospital, Modern Medicine, and Mortality. Cambridge, MA: National Bureau of Economic Research, November 2022. http://dx.doi.org/10.3386/w30663.

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Goldin, Claudia, and Robert Margo. The Poor at Birth: Infant Auxology and Mortality at Philadelphia's Almshouse Hospital, 1848-1873. Cambridge, MA: National Bureau of Economic Research, March 1988. http://dx.doi.org/10.3386/w2525.

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Dor, Avi, Partha Deb, Michael Grossman, Gregory Cooper, Siran Koroukian, and Fang Xu. Impact of Mortality-Based Performance Measures on Hospital Pricing: the Case of Colon Cancer Surgeries. Cambridge, MA: National Bureau of Economic Research, September 2013. http://dx.doi.org/10.3386/w19447.

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Escarce, José, Arvind Jain, and Jeannette Rogowski. Hospital Competition, Managed Care and Mortality After Hospitalization for Medical Conditions: Evidence From Three States. Cambridge, MA: National Bureau of Economic Research, June 2006. http://dx.doi.org/10.3386/w12335.

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Ciapponi, Agustín, and Sebastián García Martí. Does home-based care reduce morbidity and mortality in people living with HIV-AIDS? SUPPORT, 2016. http://dx.doi.org/10.30846/160416.

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Ciapponi, Agustín, and Sebastián García Martí. Does home-based care reduce morbidity and mortality in people living with HIV-AIDS? SUPPORT, 2017. http://dx.doi.org/10.30846/170410.

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