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Artículos de revistas sobre el tema "Hospital care"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 9 de junio de 2025

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1

Qadir, Dr Murad, Dr Rafat Murad, and Dr Naveed Faraz. "HOSPITAL WASTE MANAGEMENT; TERTIARY CARE HOSPITALS." PROFESSIONAL MEDICAL JOURNAL 23, no. 07 (July 1, 2016): 802–6. http://dx.doi.org/10.17957/tpmj/16.3281.

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Kahn, Jeremy M., Rachel M. Werner, Shannon S. Carson, and Theodore J. Iwashyna. "Variation in Long-Term Acute Care Hospital Use After Intensive Care." Medical Care Research and Review 69, no. 3 (February 6, 2012): 339–50. http://dx.doi.org/10.1177/1077558711432889.

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Long-term acute care hospitals (LTACs) are an increasingly common discharge destination for patients recovering from intensive care. In this article the authors use U.S. Medicare claims data to examine regional- and hospital-level variation in LTAC utilization after intensive care to determine factors associated with their use. Using hierarchical regression models to control for patient characteristics, this study found wide variation in LTAC utilization across hospitals, even controlling for LTAC access within a region. Several hospital characteristics were independently associated with increasing LTAC utilization, including increasing hospital size, for-profit ownership, academic teaching status, and colocation of the LTAC within an acute care hospital. These findings highlight the need for research into LTAC admission criteria and the incentives driving variation in LTAC utilization across hospitals.

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3

Bay, K. S., K. A. Toll, and J. R. Kerr. "Utilisation of Acute Care Hospital Beds by Levels of Care." Health Services Management Research 2, no. 2 (July 1989): 133–45. http://dx.doi.org/10.1177/095148488900200205.

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An exploratory analysis of utilisation patterns of acute care hospitals in the Province of Alberta, Canada was carried out to develop a methodology for assessing bed utilisation profiles of acute care hospitals by levels of care. The utilisation of Alberta acute care hospital beds was measured in terms of primary, secondary and tertiary levels of hospital services. Patient origin—destination methodology was applied and a regionalisation perspective employed. The data used for this study were hospital separation abstracts compiled by all Alberta acute care hospitals during year 1986, this coincided with the most recent available Canadian census data. It was estimated that approximately 10–11% of Alberta beds were used for tertiary care as derived from population based utilisation rates and patient flow patterns. With respect to per capita measurement, the number of beds used per 1,000 residents was: 3.5 to 3.9 for primary, 1.2 to 1.6 for secondary, and about 0.6 for tertiary levels of care. Regression analysis revealed that the marginal cost per bed at each level was approximately 75–79, 87–88, and 201–209 thousand Canadian dollars per year in 1986 for primary, secondary and tertiary care respectively. The profiles thus estimated explained about 65% of per bed hospital cost variation.

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4

Allen, Diana. "Day hospital care." Elderly Care 2, no. 1 (January 1990): 19–22. http://dx.doi.org/10.7748/eldc.2.1.19.s22.

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5

Garrett, Gill. "Improving hospital care." Elderly Care 8, no. 2 (February 1988): 14–15. http://dx.doi.org/10.7748/eldc.8.2.14.s18.

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6

Garrett, Gill. "Improving hospital care." Nursing Older People 8, no. 2 (February 1, 1988): 14–15. http://dx.doi.org/10.7748/nop.8.2.14.s18.

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7

Greaves, Ian. "Pre-hospital care." Trauma 18, no. 2 (March 16, 2016): 83–84. http://dx.doi.org/10.1177/1460408616638633.

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8

Heimel, Albert J. "Pediatric hospital care." Postgraduate Medicine 80, no. 6 (November 1986): 245. http://dx.doi.org/10.1080/00325481.1986.11699604.

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9

James, Chris D., John Peabody, Kara Hanson, and Orville Solon. "Public Hospital Care." Asia Pacific Journal of Public Health 27, no. 2 (February 17, 2013): NP1026—NP1038. http://dx.doi.org/10.1177/1010539511422740.

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10

Duncan, R. Paul. "Uncompensated Hospital Care." Medical Care Review 49, no. 3 (September 1992): 265–330. http://dx.doi.org/10.1177/002570879204900302.

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11

Wasieleski, David M. "Poor Hospital Care." Proceedings of the International Association for Business and Society 11 (2000): 551–62. http://dx.doi.org/10.5840/iabsproc20001152.

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12

Marchant, Sally, Jo Garcia, Jo Alexander, Mavis Kirkham, Debra Bick, Christine MacArthur, Helena Fortune, and Heather Winter. "Hospital Postnatal Care." British Journal of Midwifery 6, no. 3 (March 5, 1998): 194. http://dx.doi.org/10.12968/bjom.1998.6.3.194.

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13

Briscoe, Jane, and Stefan Priebe. "Day hospital care." Psychiatry 3, no. 9 (September 2004): 8–10. http://dx.doi.org/10.1383/psyt.3.9.8.50252.

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14

Stessman, Jochanan, Robert Hammerman-Rozenberg, Yoram Maaravi, and Aaron Cohen. "HOME HOSPITAL CARE." Journal of the American Geriatrics Society 48, no. 3 (March 2000): 344–45. http://dx.doi.org/10.1111/j.1532-5415.2000.tb02662.x.

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15

Bricknell, M. C., and D. McArthur. "Deployed Hospital Care." Journal of the Royal Army Medical Corps 157, Suppl_4 (December 1, 2011): S453—S456. http://dx.doi.org/10.1136/jramc-157-4s-09.

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16

Briscoe, Jane, and Stefan Priebe. "Day hospital care." Psychiatry 6, no. 8 (August 2007): 321–24. http://dx.doi.org/10.1016/j.mppsy.2007.05.010.

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17

Harrison, Greg J. "Hospital Intensive Care." Journal of the Association of Avian Veterinarians 7, no. 4 (1993): 222. http://dx.doi.org/10.2307/27671105.

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18

Kuruppuarachchi, K. A. L. A., and S. S. Williams. "Acute hospital care." Psychiatric Bulletin 26, no. 8 (August 2002): 315. http://dx.doi.org/10.1192/pb.26.8.315.

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19

Frass, M., H. Friehs, M. Müllner, K. Gärtner, K. Thieves, and C. Marosi. "In-hospital care." European Journal of Integrative Medicine 2, no. 4 (December 2010): 163–64. http://dx.doi.org/10.1016/j.eujim.2010.09.210.

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20

Weissman, Joel. "Uncompensated Hospital Care." JAMA 276, no. 10 (September 11, 1996): 823. http://dx.doi.org/10.1001/jama.1996.03540100067031.

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21

Burke, Robert, Anne Canamucio, Thomas Glorioso, Anna Baron, and Kira Ryskina. "TRANSITIONAL CARE OUTCOMES IN VETERANS RECEIVING POST-ACUTE CARE IN A SKILLED NURSING FACILITY." Innovation in Aging 3, Supplement_1 (November 2019): S732. http://dx.doi.org/10.1093/geroni/igz038.2683.

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Abstract More than 200,000 Veterans transition between hospital and skilled nursing facility (SNF) annually. Capturing outcomes of these transitions has been challenging because older adult Veterans receive care at VA and non-VA hospitals, and four different kinds of SNFs: VA-owned and -operated Community Living Centers (CLCs), VA-contracted community nursing homes (CNHs), State Veterans Homes (SVHs), and non-VA community SNFs. We used a novel data source which concatenates VA, Medicare, and Medicaid data into longitudinal episodes of care for Veterans, to calculate the rate of adverse outcomes associated with the transition from hospital to SNF in all enrolled Veterans age 65 and older undergoing this transition 2012-2014. The composite primary outcome included Emergency Department (ED) visits, rehospitalizations, and mortality (not in the context of hospice) within 7 days of hospital discharge to SNF. We used multivariable logistic regression to adjust for Veteran and hospital characteristics and hospital random effects. In the 388,339 Veterans discharged from 1502 hospitals in our sample, we found more than 4 in 5 Veteran transitions (81.7%) occurred entirely outside the VA system. The overall 7-day outcome rate was 10.7%. After adjustment, VA hospitals had lower adverse outcome rates than non-VA hospitals (OR 0.80, 95% CI 0.74-0.86). VA hospital-CLC transitions had the lowest adverse outcome rates; in comparison, non-VA hospital-CNH (OR 2.51, 95% CI 2.09-3.02) and non-VA hospital-CLC (OR 2.25, 95% CI 1.81-2.79) had the highest rates. These findings raise important questions about the VA’s role as a major provider and payer of post-acute care in SNF.

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22

Journal, IJSREM. "HOSPITAL FINDER." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (January 15, 2024): 1–6. http://dx.doi.org/10.55041/ijsrem28154.

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Introducing the Hospital Finder App - Your Ultimate Guide to Finding the Best Medical Care! Are you looking for a reliable and trustworthy hospital finder app to help you locate the best medical care? Look no further! Our Hospital Finder App is here to assist you in finding top- notch hospitals and medical facilities near you. With our comprehensive directory, you can easily search and compare hospitals based on your specific needs and preferences. Our app features a user-friendly interface and a wide range of filters to help you find the perfect hospital for your medical needs. You can search by location, specialty, insurance, and more. Plus, our app provides detailed information on each hospital, including patient reviews, ratings, and contact information. Our mission is to provide you with the best possible medical care, and we believe that starts with helping you find the right hospital. Download our app today and discover the power of informed healthcare choices! rigorous standards of scientific research, presenting a comprehensive and secure framework for the findings. Keywords: Hospitals near me ,Medical facilities ,Healthcare providers ,Doctor search,Specialist directory, Insurance coverage ,Patient reviews Hospital ratings ,Contact information Emergency care ,Urgent care ,Specialized treatment ,Preventive care , Wellness services .

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23

Ann O'Loughlin, Mary. "Conflicting interests in private hospital care." Australian Health Review 25, no. 5 (2002): 106. http://dx.doi.org/10.1071/ah020106.

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This article looks at key changes impacting on private hospital care: the increasing corporate ownership of private hospitals; the Commonwealth Government's support for private health;the significant increase in health fund membership; and the contracting arrangements between health funds and private hospitals. The changes highlight the often conflicting interests of hospitals, doctors, Government, health funds and patients in the provision of private hospital care. These conflicts surfaced in the debate around allegations of 'cherry picking' by private hospitals of more profitable patients. This is also a good illustration of the increasing entanglement of the Government in the fortunes of the private health industry.

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24

Montalbano, Amanda, Ricardo A. Quinonex, Matt Hall, Rustin Morse, Stacey L. Ishman, James W. Antoon, Jessica Gold, et al. "Achievable Benchmarks of Care for Pediatric Readmissions." Journal of Hospital Medicine 14, no. 9 (May 10, 2019): 534–50. http://dx.doi.org/10.12788/jhm.3201.

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BACKGROUND: Most inpatient care for children occurs outside tertiary children’s hospitals, yet these facilities often dictate quality metrics. Our objective was to calculate the mean readmission rates and the Achievable Benchmarks of Care (ABCs) for pediatric diagnoses by different hospital types: metropolitan teaching, metropolitan nonteaching, and nonmetropolitan hospitals. METHODS: We used a cross-sectional retrospective study of 30-day, all-cause, same-hospital readmission of patients less than 18 years old using the 2014 Healthcare Utilization Project National Readmission Database. For each hospital type, we calculated the mean readmission rates and corresponding ABCs for the 17 most common readmission diagnoses. We define outlier as any hospital whose readmission rate fell outside the 95% CI for an ABC within their hospital type. RESULTS: We analyzed 690,949 discharges at 525 metropolitan teaching hospitals (550,039 discharges), 552 metropolitan nonteaching hospitals (97,207 discharges), and 587 nonmetropolitan hospitals (43,703 discharges). Variation in readmission rates existed among hospital types; however, sickle cell disease (SCD) had the highest readmission rate and ABC across all hospital types: metropolitan teaching hospitals 15.7% (ABC 7.0%), metropolitan nonteaching 14.7% (ABC 2.6%), and nonmetropolitan 12.8% (ABC not calculated). For diagnoses in which ABCs were available, outliers were prominent in bipolar disorders, major depressive disorders, and SCD. CONCLUSIONS: ABCs based on hospital type may serve as a better metric to explain case-mix variation among different hospital types in pediatric inpatient care. The mean rates and ABCs for SCD and mental health disorders were much higher and with more outlier hospitals, which indicate high-value targets for quality improvement.

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25

Nadia, Bouzgarrou, Bouzgarrou Lamia, and Tahar Hakim Benchekroun. "Quality Care Within The Hospital Management." Advances in Social Sciences Research Journal 1, no. 6 (November 1, 2014): 152–57. http://dx.doi.org/10.14738/assrj.16.448.

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26

Cole, Evan S., Carla Willis, William C. Rencher, and Mei Zhou. "Long-term acute care hospitals and Georgia Medicaid: Utilization, outcomes, and cost." SAGE Open Medicine 4 (January 1, 2016): 205031211667092. http://dx.doi.org/10.1177/2050312116670928.

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Objectives: Because most research on long-term acute care hospitals has focused on Medicare, the objective of this research is to describe the Georgia Medicaid population who received care at a long-term acute care hospital, the type and volume of services provided by these long-term acute care hospitals, and the costs and outcomes of these services. For those with select respiratory conditions, we descriptively compare costs and outcomes to those of patients who received care for the same services in acute care hospitals. Methods: We describe Georgia Medicaid recipients admitted to a long-term acute care hospital between 2011 and 2012. We compare them to a population of Georgia Medicaid recipients admitted to an acute care hospital for one of five respiratory diagnosis-related groups. Measurements used include patient descriptive information, admissions, diagnosis-related groups, length of stay, place of discharge, 90-day episode costs, readmissions, and patient risk scores. Results: We found that long-term acute care hospital admissions for Medicaid patients were fairly low (470 90-day episodes) and restricted to complex cases. We also found that the majority of long-term acute care hospital patients were blind or disabled (71.2%). Compared to patients who stayed at an acute care hospital, long-term acute care hospital patients had higher average risk scores (13.1 versus 9.0), lengths of stay (61 versus 38 days), costs (US$143,898 versus US$115,056), but fewer discharges to the community (28.4% versus 51.8%). Conclusion: We found that the Medicaid population seeking care at long-term acute care hospitals is markedly different than the Medicare populations described in other long-term acute care hospital studies. In addition, our study revealed that Medicaid patients receiving select respiratory care at a long-term acute care hospital were distinct from Medicaid patients receiving similar care at an acute care hospital. Our findings suggest that state Medicaid programs should carefully consider reimbursement policies for long-term acute care hospitals, including bundled payments that cover both the original hospitalization and long-term acute care hospital admission.

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27

P Baby, Febin, and Kumar Sumit. "A Study on Public Perception Towards Reproductive Care Services in Health Care Facilities in Kerala, India." International Journal of Current Research and Review 16, no. 14 (July 2024): 01–05. http://dx.doi.org/10.31782/ijcrr.2024.161401.

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Objectives: The objective of the study is to understand and explore the beneficiaries’ perceptions regarding reproductive health care services in Thrissur. Methods: A predesigned in-depth interview guide were prepared to collect the data for the qualitative cross-sectional study. Data collected in two-phase, in the first phase data collected from the 15 reproductive beneficiaries in the private hospitals and in second phase data collected from the 13 public hospital beneficiaries identified from the community level, those who recently utilized the public hospitals. Results: The significant problems by private hospital beneficiaries towards government hospitals are the lousy behavior of the medical staff and cleanliness. However, Public hospital beneficiaries are satisfied with the services and treatments provided. The primary concerns by the private hospital beneficiaries towards the public hospitals are contradicting in the present reality and major problems concerned towards public hospitals are not seen Conclusion: Both private and government hospitals in Thrissur providing excellent services in reproductive cases. Public hospitals have various limitations, such as less infrastructure, workforce, and technical availability. However, within limits, public hospitals are delivering an excellent service in recent times. Key Words: Patient satisfaction, Private hospitals, Public hospitals

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Lander, Kevin, and Jonathan Pritchett. "When to Care." Social Science History 33, no. 2 (2009): 155–82. http://dx.doi.org/10.1017/s0145553200010944.

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Prior to the Civil War, many hospitals in the southern United States treated both free and slave patients. In this article we develop a model for the selective medical treatment of slaves. We argue that the pecuniary benefits of hospital care increased with the price of the slave if healthy. Using a rich sample of admission records from New Orleans Touro Hospital, we find a positive correlation between the predicted price of the slave and the probability of hospital admission. We test the robustness of the model by controlling for the length of residence in the city, ownership by traders and doctors, and the type of illness.

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29

Bardell, Trevor, and Peter M. Brown. "Smoking Inside Canadian Acute Care Hospitals." Canadian Respiratory Journal 13, no. 5 (2006): 266–68. http://dx.doi.org/10.1155/2006/139359.

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OBJECTIVE: To assess smoking policies at Canadian acute care hospitals.METHOD: A questionnaire was designed, piloted and faxed to all acute care hospitals in Canada. The questionnaire was designed to address the following: what is the current policy regarding patient smoking? Are staff and/or visitors allowed to smoke inside the hospital? Is there a separate policy for psychiatric patients? Are smoking cessation products available at the hospital pharmacy? Is the policy governed by regional or municipal legislation?RESULTS: A total of 852 hospitals were included in the study. Of these, 476 responded to the questionnaire, for an overall response rate of 56%. Twenty-seven per cent of respondents allowed patient smoking inside the hospital. While staff smoking was not allowed inside most hospitals (93%), 32% of hospitals in Quebec allowed staff to smoke inside the building. Thirty per cent of hospitals had a separate policy for psychiatric patients, and 27% of hospitals had provisions for visitor smoking. Sixty-seven per cent of hospitals were able to offer patients smoking cessation products while they were in hospital.CONCLUSIONS: Many Canadian hospitals continue to allow smoking inside their facilities. There is considerable variation in hospital smoking policies across the country.

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Ochoa, Dixan. "Characterization of hospital-acquired pneumonia in Intensive Care Unit. General Hospital." Journal of Clinical Research and Reports 4, no. 3 (June 8, 2020): 01–09. http://dx.doi.org/10.31579/2690-1919/067.

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Objective: characterize the hospital-acquired pneumonia (HAN) in the Intensive Care Unit(ICU) of the Methods: a descriptive and cross-sectional study was carried out to characterize the hospital-acquired pneumonia in admitted patient in ICU of the General Hospital “Guillermo Domínguez López” in Puerto Padre, Las Tunas since June, 2018 to May, 2019. The population was all the patients who acquired the infection during the admission. The information was taken from de patient`s clinic file. It was created graphics and charts to pick the information. Dates was described, analyzed and compared with others national and international studies. Result: the prevalent age group was 60 -79 to 59%. Asisted mechanical ventilation was not realed with the HAN due to the procedure was only performing in 9 patients to 25%. The most frequent isolated germ was citrobacter. The deseases which was most related with (HAN) was neurological deseases. The mortality was high, 20 patients die to 58%. Conclusion: clinic and epidemiologic characterisctics of NIH was described in the ICU of the General Hospital “Guillermo Domínguez López”.

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Cooper, Michael I., Laura B. Attanasio, and Kimberley H. Geissler. "Maternity care clinician inclusion in Medicaid Accountable Care Organizations." PLOS ONE 18, no. 3 (March 8, 2023): e0282679. http://dx.doi.org/10.1371/journal.pone.0282679.

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Background Medicaid Accountable Care Organizations (ACO) are increasingly common, but the network breadth for maternity care is not well described. The inclusion of maternity care clinicians in Medicaid ACOs has significant implications for access to care for pregnant people, who are disproportionately insured by Medicaid. Purpose To address this, we evaluate obstetrician-gynecologists (OB/GYN), maternal-fetal medicine specialists (MFM), certified nurse midwives (CNM), and acute care hospital inclusion in Massachusetts Medicaid ACOs. Methodology/Approach Using publicly available provider directories for Massachusetts Medicaid ACOs (n = 16) from December 2020 –January 2021, we quantify obstetrician-gynecologists, maternal-fetal medicine specialists, CNMs, and acute care hospital with obstetric department inclusion in each Medicaid ACO. We compare maternity care provider and acute care hospital inclusion across and within ACO type. For Accountable Care Partnership Plans, we compare maternity care clinician and acute care hospital inclusion to ACO enrollment. Results Primary Care ACO plans include 1185 OB/GYNs, 51 MFMs, and 100% of Massachusetts acute care hospitals, but CNMs were not easily identifiable in the directories. Across Accountable Care Partnership Plans, a mean of 305 OB/GYNs (median: 97; range: 15–812), 15 MFMs (Median: 8; range: 0–50), 85 CNMs (median: 29; range: 0–197), and half of Massachusetts acute care hospitals (median: 23.81%; range: 10%-100%) were included. Conclusion and practice implications Substantial differences exist in maternity care clinician inclusion across and within ACO types. Characterizing the quality of included maternity care clinicians and hospitals across ACOs is an important target of future research. Highlighting maternal healthcare as a key area of focus for Medicaid ACOs–including equitable access to high-quality obstetric providers–will be important to improving maternal health outcomes.

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Marr, Jeffrey, Yang Wang, Jianhui Xu, Ge Bai, Gerard Anderson, and Mark K. Meiselbach. "Hospital Prices in Medicaid Managed Care." JAMA Network Open 6, no. 11 (November 28, 2023): e2344841. http://dx.doi.org/10.1001/jamanetworkopen.2023.44841.

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33

Fekri, Omid, Edgar Manukyan, and Niek Klazinga. "Associations between hospital deaths (HSMR), readmission and length of stay (LOS): a longitudinal assessment of performance results and facility characteristics of teaching and large-sized hospitals in Canada between 2013–2014 and 2017–2018." BMJ Open 11, no. 2 (February 2021): e041648. http://dx.doi.org/10.1136/bmjopen-2020-041648.

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ObjectivesTo examine the association between hospital deaths (hospital standardised mortality ratio, HSMR), readmission, length of stay (LOS) and eight hospital characteristics.DesignLongitudinal observational study.SettingA total of 119 teaching and large-sized hospitals in Canada between fiscal years 2013–2014 and 2017–2018.ParticipantsAnalysis focused on indicator results and characteristics of individual Canadian hospitals.Primary and secondary outcomesHospital deaths (HSMR); all patients readmitted to hospital; average LOS and a series of eight hospital characteristic summary measures: number of acute care hospital stays; number of acute care beds; number of emergency department visits; average acute care resource intensity weight; total acute care resource intensity weight; hospital occupancy rate; patients admitted through the emergency department (%); patient days in alternate level of care (%).ResultsComparing 2013–2014 to 2017–2018, hospital deaths (HSMR) largely declined, while readmissions increased; 69% of hospitals decreased their hospital deaths (HSMR), while 65% of hospitals increased their readmissions rates. A greater proportion of community-large hospitals (31%, n=14) improved on both hospital deaths (HSMR) and readmission compared to Teaching hospitals (13.9%, n=5). Hospital deaths (HSMR), readmission and LOS largely showed very weak and non-significant correlations. LOS was largely positively and statistically significantly correlated with the suite of eight hospital characteristics. Hospital deaths (HSMR) was largely negatively (not statistically significantly) correlated with the hospital characteristics. Readmission was largely not statistically significantly correlated and showed no clear pattern of correlation (direction) with hospital characteristics.ConclusionsExamining publicly reported hospital performance results can reveal meaningful insights into the association among outcome indicators and hospital characteristics. Good or bad hospital performance in one care domain does not necessarily reflect similar performance in other care domains. Thus, caution is warranted in a narrow use of outcome indicators in the design and operationalisation of hospital performance measurement and governance models (namely pay-for-performance schemes). Analysis such as this can also inform quality improvement strategies and targeted efforts to address domains of care experiencing declining performance over time; further granular subdivision of the analyses, for example, by hospital peer-groups, can reveal notable differences in performance.

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Garthwaite, Craig, Tal Gross, and Matthew J. Notowidigdo. "Hospitals as Insurers of Last Resort." American Economic Journal: Applied Economics 10, no. 1 (January 1, 2018): 1–39. http://dx.doi.org/10.1257/app.20150581.

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American hospitals are required to provide emergency medical care to the uninsured. We use previously confidential hospital financial data to study the resulting uncompensated care, medical care for which no payment is received. Using both panel-data methods and case studies, we find that each additional uninsured person costs hospitals approximately $800 each year. Increases in the uninsured population also lower hospital profit margins, suggesting that hospitals do not pass along all uncompensated-care costs to other parties such as hospital employees or privately insured patients. A hospital's uncompensated-care costs also increase when a neighboring hospital closes. (JEL G22, I11, I13, L25)

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Yu, Kaylee G., Jay J. Shen, Pearl C. Kim, Sun Jung Kim, Se Won Lee, David Byun, Ji Won Yoo, and Jinwook Hwang. "Trends of Hospital Palliative Care Utilization and Its Associated Factors Among Patients With Systemic Lupus Erythematosus in the United States From 2005 to 2014." American Journal of Hospice and Palliative Medicine® 37, no. 3 (December 3, 2019): 164–71. http://dx.doi.org/10.1177/1049909119891999.

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Objective: To investigate trends and associated factors of utilization of hospital palliative care among patients with systemic lupus erythematosus (SLE) and analyze its impact on length of hospital stay, hospital charges, and in-hospital mortality. Methods: Using the 2005-2014 National Inpatient Sample in the United States, the compound annual growth rate was used to investigate the temporal trend of utilization of hospital palliative care. Multivariate multilevel logistic regression analyses were performed to analyze the association with patient-related factors, hospital factors, length of stay, in-hospital mortality, and hospital charges. Results: The overall proportion of utilization of hospital palliative care for the patient with SLE was 0.6% over 10 years. It increased approximately 12-fold from 0.1% (2005) to 1.17% (2014). Hospital palliative care services were offered more frequently to older patients, patients with high severity illnesses, and in urban teaching hospitals or large size hospitals. Patients younger than 40 years, the lowest household income group, or Medicare beneficiaries less likely received palliative care during hospitalization. Hospital palliative care services were associated with increased length of stay (β = 1.407, P < .0001) and in-hospital mortality (odds ratio, 48.18; 95% confidence interval, 41.59-55.82), and reduced hospital charge (β = −0.075, P = .009). Conclusion: Hospital palliative care service for patients with SLE gradually increased during the past decade in US hospitals. However, this showed disparities in access and was associated with longer hospital length of stay and higher in-hospital mortality. Nevertheless, hospital palliative care services yielded a cost-saving effect.

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Ton, Steven H., Alice M. Noblin, Kendall Cortelyou-Ward, and Victor A. Nunez. "Enhancing Patient Care and Care Coordination using Event Notification Systems." Journal of Cases on Information Technology 18, no. 1 (January 2016): 17–27. http://dx.doi.org/10.4018/jcit.2016010102.

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Event notification systems (ENS) are being deployed to provide timely alerts to participating providers when their patients are being admitted, discharged or transferred (ADT) from participating hospitals. Hospitals and health information exchanges (HIE) are implementing ENS in an effort to reduce costly hospital readmissions and to improve the overall quality of patient care through improved care coordination. Today, there are numerous ENS actively facilitating care coordination across the country. For those participating providers and hospitals, coordination has been significantly improved and hospital readmissions have been reduced. Furthermore, patients and clinicians report improved patient care and care coordination, and report higher levels of patient satisfaction. Despite reported success, the application and implementation of ENS vary across the country. Some of the variability stems from the challenges that are inherent to the design of the ENS. These challenges, discussed herein, require careful consideration in order to fully realize ENS benefits.

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Good, Norm, Phillipa Niven, and Rajiv Jayasena. "Improving care for chronic conditions may take longer than expected: Evaluation of the Health Links chronic care flexible funding model of care." International Journal of Integrated Care 23, S1 (December 28, 2023): 053. http://dx.doi.org/10.5334/ijic.icic23024.

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Introduction: Current models of care and funding systems in Australia for managing chronic disease are largely designed to be responsive to single episodes of acute care. The Victorian Department of Health developed a flexible funding model which aimed to improve care for patients at high risk of unplanned hospital admissions, many of whom had chronic and complex conditions. The initiative investigated whether the model could remove several barriers that inhibit integrated models of care and promote innovation to produce better outcomes for patients. Four hospital and health services participated in the trial with three acting as control hospitals. Each of the participating hospitals undertook their own unique intervention, ranging from redesigns of existing services to advanced coaching models using tele-care guides. Methods: We undertook an analysis of HealthLinks enrolled intervention patient outcomes compared to a usual care patient cohort. In addition, we compared outcomes from participating individual health services compared to control health services. Outcomes measured were inpatient length of stay, number of inpatient admissions and 30-day readmissions, and emergency department (ED) length of stay and number of ED presentations. Administrative datasets of enrolled patients were converted into monthly panels where outcomes were summed to a count per patient per month for the period 12-months prior to the trial start date for participating health services and the 1st of July 2016 for control health services and for 24 months after.  Results: A total of 2,400 Healthlinks enrolees received an intervention model of care during the two year trial out of 49,000 enrolees. Compared to patients from control hospitals there were significantly fewer ED presentations per month (-0.1) and shorter ED lengths of stay (-40 mins), but more admissions per month( 0.03) and longer inpatient lengths of stay (0.2 days) for patients at intervention hospitals. A similar pattern was observed for individual hospital compared to controls. Patterns of hospital use varied by health service for intervention patients compared with usual care patients. Compared with usual care patients there were significant increases in ED length of stay at all hospitals; significantly fewer 30-day readmissions per month (–0.004 ) at Hospital C; significantly more hospital admissions per month at hospitals B (0.2) and C (0.1) ; and significantly shorter inpatient lengths of stay for hospital b (-2 days) but longer for hospital D (0.5 days) compared with usual care patients.  Discussion: Most outcomes measured in this evaluation showed little effect for those patients directly involved in an intervention apart from hospital and ED length of stay measures for one health service. Patients from flexibly funded health services seemed to have reduced ED presentations and length of stay in the ED; however, it is unclear whether this is because of flexible funding or differences in outcome trajectories before flexible funding commenced. There is an emerging view that the effects on patient outcomes from chronic disease models of care may be more apparent in the longer term, suggesting health policy takes a similar view when trialling new initiatives.       

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Jha, Ashish K., Zhonghe Li, E. John Orav, and Arnold M. Epstein. "Care in U.S. Hospitals — The Hospital Quality Alliance Program." New England Journal of Medicine 353, no. 3 (July 21, 2005): 265–74. http://dx.doi.org/10.1056/nejmsa051249.

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39

Jha, AK, Z. Li, EJ Orav, and AM Epstein. "Care in U.S. Hospitals—The Hospital Quality Alliance Program." ACC Current Journal Review 14, no. 10 (October 2005): 7. http://dx.doi.org/10.1016/j.accreview.2005.09.022.

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Rivers, Patrick Asubonteng, and Sejong Bae. "The Relationship between Hospital Characteristics and the Cost of Hospital Care." Health Services Management Research 13, no. 4 (November 2000): 256–63. http://dx.doi.org/10.1177/095148480001300406.

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This article examines the relationship between hospital characteristics and costs of hospital care, using the 1991 American Hospital Association Annual Survey of Hospitals. The results discussed herein have implications for hospital executives, researchers and policymakers.

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41

Anonymous. "Hospital Care Quality Varies." Journal of Gerontological Nursing 20, no. 12 (December 1994): 48. http://dx.doi.org/10.3928/0098-9134-19941201-15.

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42

Giardino, Angelo P., Tiffany Glasgow, Jill Sweney, and David Chaulk. "Pediatric inpatient hospital care." Hospital Practice 49, sup1 (October 13, 2021): 391–92. http://dx.doi.org/10.1080/21548331.2022.2050112.

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43

McNally, Steve. "Improving care in hospital." Learning Disability Practice 15, no. 2 (February 29, 2012): 11. http://dx.doi.org/10.7748/ldp.15.2.11.s8.

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Keene, Nick, and Helen James. "Who needs hospital care?" Journal of the British Institute of Mental Handicap (APEX) 14, no. 3 (August 26, 2009): 101–3. http://dx.doi.org/10.1111/j.1468-3156.1986.tb00355.x.

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Sippio-James, Torey. "At-Home Hospital Care." AJN, American Journal of Nursing 119, no. 1 (January 2019): 13. http://dx.doi.org/10.1097/01.naj.0000552590.38342.67.

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Deakin, Charles D., and Eldar Søreide. "Pre-hospital trauma care." Current Opinion in Anaesthesiology 14, no. 2 (April 2001): 191–95. http://dx.doi.org/10.1097/00001503-200104000-00011.

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47

&NA;. "HOSPITAL-BASED DAY CARE." AJN, American Journal of Nursing 86, no. 10 (October 1986): 1098. http://dx.doi.org/10.1097/00000446-198610000-00005.

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48

&NA;. "HOSPITAL-BASED DAY CARE." AJN, American Journal of Nursing 86, no. 10 (October 1986): 1098. http://dx.doi.org/10.1097/00000446-198686100-00005.

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49

Stephens, Sheila. "Hospital-Based Palliative Care." JONA: The Journal of Nursing Administration 38, no. 3 (March 2008): 143–45. http://dx.doi.org/10.1097/01.nna.0000310724.20419.12.

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Bannon, Monique Daragjati. "Choosing private hospital care." British Journal of Midwifery 15, no. 11 (November 2007): 716–17. http://dx.doi.org/10.12968/bjom.2007.15.11.27472.

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