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      Use of a Balanced Scorecard in strengthening health systems in developing countries: an analysis based on nationally representative Bangladesh Health Facility Survey : USE OF BSC IN STRENGTHENING HEALTH SYSTEMS

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      The International Journal of Health Planning and Management
      Wiley-Blackwell

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          Abstract

          This paper illustrates the importance of collecting facility-based data through regular surveys to supplement the administrative data, especially for developing countries of the world. In Bangladesh, measures based on facility survey indicate that only 70% of very basic medical instruments and 35% of essential drugs were available in health facilities. Less than 2% of officially designated obstetric care facilities actually had required drugs, injections and personnel on-site. Majority of (80%) referral hospitals at the district level were not ready to provide comprehensive emergency obstetric care. Even though the Management Information System reports availability of diagnostic machines in all district-level and sub-district-level facilities, it fails to indicate that 50% of these machines are not functional. In terms of human resources, both physicians and nurses are in short supply at all levels of the healthcare system. The physician-nurse ratio also remains lower than the desirable level of 3.0. Overall job satisfaction index was less than 50 for physicians and 66 for nurses. Patient satisfaction score, however, was high (86) despite the fact that process indicators of service quality were poor. Facility surveys can help strengthen not only the management decision-making process but also the quality of administrative data.

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          Health-care Facility Choice and the Phenomenon of Bypassing

          Health policy-makers in developing countries are often disturbed and to a degree surprised by the phenomenon of the ill travelling past a free or subsidized local public clinic (or other public facility) to get to an alternative source of care at which they often pay a considerable amount for health care. That a person bypasses a facility is almost certainly indicative either of significant problems with the quality of care at the bypassed facility or of significantly better care at the alternative source of care chosen. When it is a poor person choosing to bypass a free public facility and pay for care further away, such action is especially bothersome to public policy-makers. This paper uses a unique data set, with a health facility survey in which all health facilities are identified, surveyed, and located geographically; and a household survey in which a sample of households from the same health district is also both surveyed and located geographically. The data are analyzed to examine patterns of health care choice related to the characteristics and locations of both the facilities and actual and potential clients. Rather than using the distance travelled or some other general choice of type of care variable as the dependent variable, we are able actually to analyze which specific facilities are bypassed and which chosen. The findings are instructive. That bypassing behaviour is not very different across income groups is certainly noteworthy, as is the fact that the more severely ill tend to bypass and to travel further for care than do the less severely ill. In multivariate analysis almost all characteristics of both providers and facilities are found to have the a priori expected relationships to facility choice. Prices tend to deter use, and improved quality of services to increase the likelihood of a facility being chosen. The answer to the bypassing dilemma seems to be for providers to provide as good quality care relative to the money charged (if any), as other, often further away, providers.
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            Bypassing Health Centres in Tanzania: Revealed Preferences for Quality

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              Measuring and managing progress in the establishment of basic health services: the Afghanistan health sector balanced scorecard.

              The Ministry of Public Health (MOPH) of Afghanistan has adopted the Balanced Scorecard (BSC) as a tool to measure and manage performance in delivery of a Basic Package of Health Services. Based on results from the 2004 baseline round, the MOPH identified eight of the 29 indicators on the BSC as priority areas for improvement. Like the 2004 round, the 2005 and 2006 BSCs involved a random selection of more than 600 health facilities, 1700 health workers and 5800 patient-provider interactions. The 2005 and 2006 BSCs demonstrated substantial improvements in all eight of the priority areas compared to 2004 baseline levels, with increases in median provincial scores for presence of active village health councils, availability of essential drugs, functional laboratories, provider knowledge, health worker training, use of clinical guidelines, monitoring of tuberculosis treatment, and provision of delivery care. For three of the priority indicators-drug availability, health worker training and provider knowledge-scores remained unchanged or decreased between 2005 and 2006. This highlights the need to ensure that early gains achieved in establishment of health services in Afghanistan are maintained over time. The use of a coherent and balanced monitoring framework to identify priority areas for improvement and measure performance over time reflects an objectives-based approach to management of health services that is proving to be effective in a difficult environment. 2007 John Wiley & Sons, Ltd
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                Author and article information

                Journal
                The International Journal of Health Planning and Management
                Int J Health Plann Mgmt
                Wiley-Blackwell
                07496753
                April 2013
                April 09 2013
                : 28
                : 2
                : 202-215
                Article
                10.1002/hpm.2136
                22887590
                47c3f8e9-7429-4aaf-9206-fcaaef36e9b6
                © 2013

                http://doi.wiley.com/10.1002/tdm_license_1.1

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