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1.
Int Health ; 7(6): 433-7, 2015 Nov.
Article in English | MEDLINE | ID: mdl-25602084

ABSTRACT

BACKGROUND: Research has demonstrated disparities in the outcomes of patients admitted to hospital on weekends in high-income countries. No published research has evaluated if any similar discrepancy exists in low-resource settings. METHODS: To determine if any difference in mortality exists between weekend and weekday admissions on the public medical wards at a Kenyan referral hospital, we performed a retrospective observational study of inpatients over a 3-month study period. RESULTS: During the study period, 261 (27.3%) of the 956 patients were admitted over the weekend. The mortality rates for patients admitted on weekends and weekdays did not differ with 156 (22.4%) of the 695 patients admitted on weekdays dying compared to 55 (21.1%) of the 261 patients admitted on weekends. After adjusting for age, insurance status, co-morbid illness, HIV status, employment, referral status and gender, still no association existed between weekend admission and mortality. CONCLUSIONS: Among adult patients on the medical wards, patients admitted on weekends had similar mortality rates to those admitted on weekdays. This similarity may reflect a stable level of care or a generalized shortage of resources and staffing that subsumes any impact of weekly variations. Future research examining optimal staffing and resource levels is needed in such settings.


Subject(s)
Hospital Mortality/trends , Hospitalization/trends , Adolescent , Adult , Aged , Aged, 80 and over , Comorbidity , Developing Countries , Female , Humans , Kenya/epidemiology , Male , Middle Aged , Referral and Consultation , Retrospective Studies , Young Adult
2.
Glob Health Action ; 7: 23137, 2014.
Article in English | MEDLINE | ID: mdl-24560256

ABSTRACT

BACKGROUND: Observational data in the United States suggests that those without health insurance have a higher mortality and worse health outcomes. A linkage between insurance coverage and outcomes in hospitalized patients has yet to be demonstrated in resource-poor settings. METHODS: To determine whether uninsured patients admitted to the public medical wards at a Kenyan referral hospital have any difference in in-hospital mortality rates compared to patients with insurance, we performed a retrospective observational study of all inpatients discharged from the public medical wards at Moi Teaching and Referral Hospital in Eldoret, Kenya, over a 3-month study period from October through December 2012. The primary outcome of interest was in-hospital death, and the primary explanatory variable of interest was health insurance status. RESULTS: During the study period, 201 (21.3%) of 956 patients discharged had insurance. The National Hospital Insurance Fund was the only insurance scheme noted. Overall, 211 patients (22.1%) died. The proportion who died was greater among the uninsured compared to the insured (24.7% vs. 11.4%, Chi-square = 15.6, p<0.001). This equates to an absolute risk reduction of 13.3% (95% CI 7.9-18.7%) and a relative risk reduction of 53.8% (95% CI 30.8-69.2%) of in-hospital mortality with insurance. After adjusting for comorbid illness, employment status, age, HIV status, and gender, the association between insurance status and mortality remained statistically significant (adjusted odds ratio (AOR) = 0.40, 95% CI 0.24-0.66) and similar in magnitude to the association between HIV status and mortality (AOR = 2.45, 95% CI 1.56-3.86). CONCLUSIONS: Among adult patients hospitalized in a public referral hospital in Kenya, insurance coverage was associated with decreased in-hospital mortality. This association was comparable to the relationship between HIV and mortality. Extension of insurance coverage may yield substantial benefits for population health.


Subject(s)
Hospital Mortality , Insurance Coverage/statistics & numerical data , Insurance, Health/statistics & numerical data , Secondary Care Centers/statistics & numerical data , Adolescent , Adult , Aged, 80 and over , Hospitals, Teaching/statistics & numerical data , Humans , Kenya/epidemiology , Logistic Models , Male , Middle Aged , Retrospective Studies , Young Adult
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