9 research outputs found

    Health worker perspectives on user fee removal in Zambia.

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    UNLABELLED: BACKGROUND: User fees for primary care services were removed in rural districts in Zambia in 2006. Experience from other countries has suggested that health workers play a key role in determining the success of a fee removal policy, but also find the implementation of such a policy challenging. The policy was introduced against a backdrop of a major shortage in qualified health staff. METHODS: As part of a larger study on the experience and effect of user fee removal in Zambia, a number of case studies at the facility level were conducted. As part of these, quantitative and qualitative data were collected to evaluate health workers' satisfaction and experiences in charging and non-charging facilities. RESULTS: Our findings show that health-care workers have mixed feelings about the policy change and its consequences. We found some evidence that personnel motivation was higher in non-charging facilities compared to facilities still charging. Yet it is unclear whether this effect was due to differences in the user fee policy or to the fact that a lot of staff interviewed in non-charging facilities were working in mission facilities, where we found a significantly higher motivation. Health workers expressed satisfaction with an apparent increase in the number of patients visiting the facilities and the removal of a deterring factor for many needy patients, but also complained about an increased workload. Furthermore, working conditions were said to have worsened, which staff felt was linked to the absence of additional resources to deal with the increased demand or replace the loss of revenue generated by fees. CONCLUSION: These findings highlight the need to pay attention to supply-side measures when removing demand-side barriers such as user fees and in particular to be concerned about the burden that increased demand can place on already over-stretched health workers

    Surgical service monitoring and quality control systems at district hospitals in Malawi, Tanzania and Zambia: a mixed-methods study

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    Background In low-income and middle-income countries, an estimated one in three clinical adverse events happens in non-complex situations and 83% are preventable. Poor quality of care also leads to inefficient use of human, material and financial resources for health. Improving outcomes and mitigating the risk of adverse events require effective monitoring and quality control systems. Aim To assess the state of surgical monitoring and quality control systems at district hospitals (DHs) in Malawi, Tanzania and Zambia. Methods A mixed-methods cross-sectional study of 75 DHs: Malawi (22), Tanzania (30) and Zambia (23). This included a questionnaire, interviews and visual inspection of operating theatre (OT) registers. Data were collected on monitoring and quality systems for surgical activity, processes and outcomes, as well as perceived barriers. Results 53% (n=40/75) of DHs use more than one OT register to record surgical operations. With the exception of standardised printed OT registers in Zambia, the register format (often handwritten books) and type of data collected varied between DHs. Monthly reports were seldom analysed by surgical teams. Less than 30% of all surveyed DHs used surgical safety checklists (n=22/75), and <15% (n=11/75) performed surgical audits. 73% (n=22/30) of DHs in Tanzania and less than half of DHs in Malawi (n=11/22) and Zambia (n=10/23) conducted surgical case reviews. Reports of surgical morbidity and mortality were compiled in 65% (n=15/23) of Zambian DHs, and in less than one-third of DHs in Tanzania (n=9/30) and Malawi (n=4/22). Reported barriers to monitoring and quality systems included an absence of formalised guidelines, continuous training opportunities as well as inadequate accountability mechanisms. Conclusions Surgical monitoring and quality control systems were not standard among sampled DHs. Improvements are needed in standardisation of quality measures used; and in ensuring data completeness, analysis and utilisation for improving patient outcomes
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