Health Care Centers In Province Research Articles

Best and worst performing health facilities: A positive deviance analysis of perceived drivers of primary care performance in Nepal

Primary care services are on average of low quality in Nepal. However, there is marked variation in performance of basic clinical and managerial functions between primary health care centers. The determinants of variation in primary care performance in low- and middle-income countries have been understudied relative to the prominence of primary care in national health plans. We used the positive deviance approach to identify best and worst performing primary health care centers in Nepal and investigated perceived drivers of best performance. We selected eight primary health care centers in Province 1, Nepal, using an index of basic clinical and operational activities to identify four best and four worst performing primary health care centers. We conducted semi-structured, in-depth interviews with managers and clinical staff from each of the eight primary health care centers for a total of 32 interviews. We identified the following factors that distinguished best from worst performers: 1) Managing the facility effectively, 2) engaging local leadership, 3) building active community accountability, 4) assessing and responding to facility performance, 5) developing sources of funding, 6) compensating staff fairly, 7) managing clinical staff performance, and 8) promoting uninterrupted availability of supplies and equipment. These findings can be used to inform quality improvement efforts and health system reforms in Nepal and other similarly under-resourced health systems.

An empirical study based on BSC-DEA to measure the relative efficiencies of different health care centers in province of Semnan, Iran

In this paper, we present an empirical investigation to measure the relative efficiency of seven health care centers in province of Semnan, Iran, which were under the coverage of social security organization of Iran. The proposed model of this paper uses a hybrid of balanced score card and data envelopment analysis for performance measurement. The proposed sudy uses four perspectives of balanced score card including learning and growth, internal process, customer and financial perspectives and within each perspective, data envelopment analysis is adopted so that the outputs of each perspective are used as inputs of the other perspective. The preliminary results indicate that all seven units perform relatively well and the overall efficiency of all units in this province is 0.769.