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1.
Arch Gerontol Geriatr ; 83: 263-270, 2019.
Article in English | MEDLINE | ID: mdl-31103920

ABSTRACT

BACKGROUND: Empirical studies examined the associations between hospital competition and quality of care by using different methodology, measures, patient groups and geographic locations; however, results remained inconclusive. This study aimed to apply meta-analysis to evaluate the effect of hospital competition on quality of care and to explore the potential implications to care for senior patients. METHODS: A systematic review and meta-analysis combining results from various studies to obtain an overall outcome was performed. Measure of effect size, I2 test, meta-regression to find sources of heterogeneity, tests for publication bias, sensitivity analysis and cumulative analysis were performed. The mean effect size is estimated by coefficient and standard error with P values less than 0.05 which was considered statistically significant. RESULTS: Based on the selection criteria, only 11 studies were eligible for this meta-analysis. The pooled effect of hospital competition on quality of care was reported by all of the 11 included studies. Results of the meta-analysis suggested that hospital competition reduced quality of care, but the overall effect was relatively insignificant from a statistical perspective (Point estimate = 0.008, 95% CI = -0.004 ˜ 0.020, P > 0.05). CONCLUSIONS: Hospital competition slightly increased mortality rates of acute myocardial infarction, but not statistically significant. The negative impact may be lessened over time as medical technology, practices, and techniques improve. Older patients with complex care needs may be at risk for poorer quality of care related to hospital competition.


Subject(s)
Health Services for the Aged , Quality of Health Care , Hospital Mortality , Humans
2.
Geriatr Gerontol Int ; 12(4): 612-21, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22299774

ABSTRACT

AIM: That geriatric evaluation and management (GEM) is associated with better quality of care for elderly patients has been reported by previous studies, but evidence supporting that GEM can reduce the burden of morbidity (BOM) was lacking. The aim of this study was to evaluate the benefits of outpatient GEM on reducing BOM and medical utilization in Taiwan. METHODS: Data of this retrospective case-control study were obtained from the 2004-2006 Taiwan National Health Insurance Research Database (NHIRD). Patients who attended the outpatient GEM program for over 6 months in a tertiary medical center in 2005 were enrolled as the case group, and a 1:5 age and gender-matched control group was formed by randomly-selected patients from the same medical center for comparisons. BOM was obtained by applying the Adjusted Clinical Group (ACG) program, and medical utilization variables were totalled for each patient from the NHIRD. Patients were further reassigned to two morbidity categories, the low (resource utilization bands ≤ 3) and high (resource utilization bands > 3) morbidity category, according to their degree of morbidity before statistical analyses. RESULTS: Data of 4254 elderly patients (709 cases, 3545 controls) were included in the study. BOM and medical utilization were increased in both groups in both morbidity categories during the study period. However, the growth of BOM, total medical expenditure, number of emergency department visit, and days and expenditure of hospitalization were significantly reduced in the case than the control group in the low morbidity category, not the high morbidity category. CONCLUSION: Outpatient GEM could effectively reduce growth of BOM and medical utilization for relatively healthy elderly patients in Taiwan where elderly patients have relatively free access to general and specialty care. The results of this study implied the potential benefits of systematically implementing GEM in primary health-care settings to improve the quality of care and slow down the growth of BOM for elderly patients.


Subject(s)
Ambulatory Care/statistics & numerical data , Geriatrics , Health Services for the Aged/statistics & numerical data , Morbidity , Primary Health Care/statistics & numerical data , Aged , Aged, 80 and over , Case-Control Studies , Chi-Square Distribution , Female , Hospitals, Veterans , Humans , Male , Poisson Distribution , Retrospective Studies , Taiwan
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