Pay for performance: An analysis of the context of implementation in a pilot project in Tanzania

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Study Justification:
This study examines the implementation of a pay for performance (P4P) scheme in Tanzania, specifically focusing on the context and potential impact on health system constraints. The justification for this study is to understand the factors that affect the implementation of P4P in low-income settings and to provide insights on how to address these challenges.
Highlights:
– The study identifies five contextual factors that affect the implementation of P4P: salary and employment benefits, resource availability, supervision, facility access to utilities, and community preferences.
– It emphasizes the importance of having basic infrastructures in place, a sufficient number of staff with appropriate education and skills, and adequate resources before implementing P4P.
– The study highlights the concerns of health professionals regarding shortages of resources, limited supplies, and unfavorable community preferences.
– It suggests that P4P can provide incentives and means to address certain constraints within the control of providers and managers, but acknowledges that other constraints may be harder to address.
Recommendations:
– Consider contextual issues when implementing P4P schemes in low-income settings.
– Ensure basic infrastructures are in place and sufficient resources are available before implementing P4P.
– Address challenges related to shortages of resources, limited supplies, and unfavorable community preferences.
– Provide support and resources to improve staff salaries and employment benefits.
– Strengthen supervision and facility access to utilities.
– Engage with communities to understand their preferences and address any barriers to healthcare access.
Key Role Players:
– Tanzanian Ministry of Health and Social Welfare
– Clinton Health Access Initiative (providing technical assistance)
– Government of Norway (providing financial support)
– National Health Insurance Fund (administering fund pay-outs)
– Health workers (implementing the P4P scheme)
– Regional, district, and facility managers (overseeing the implementation)
Cost Items for Planning Recommendations:
– Staff salaries and employment benefits
– Resources (medicines, equipment, supplies)
– Supervision and training
– Facility infrastructure improvements
– Community engagement activities
– Data collection and analysis
– Administrative costs for fund pay-outs
Please note that the cost items provided are general categories and not actual cost estimates. The specific costs would depend on the context and scale of the implementation.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on qualitative data collected from interviews and focus group discussions. While this provides valuable insights into the context and perceptions of health workers and managers, it may not be generalizable to other settings. To improve the strength of the evidence, a mixed methods approach could be used, combining qualitative data with quantitative data from surveys or other objective measures. This would provide a more comprehensive understanding of the implementation of pay for performance schemes in low-income settings.

Background: Pay for performance schemes are increasingly being implemented in low income countries to improve health service coverage and quality. This paper describes the context within which a pay for performance programme was introduced in Tanzania and discusses the potential for pay for performance to address health system constraints to meeting targets. Method: 40 in-depth interviews and four focus group discussions were undertaken with health workers, and regional, district and facility managers. Data was collected on work environment characteristics and staff attitudes towards work in the first phase of the implementation of the pilot. A survey of 75 facilities and 101 health workers were carried out to examine facility resourcing, and health worker employment conditions and job satisfaction. Results: Five contextual factors which affect the implementation of P4P were identified by health workers: salary and employment benefits; resource availability, including staff, medicines and functioning equipment; supervision; facility access to utilities; and community preferences. The results suggest that it is important to consider contextual issues when implementing pay for performance schemes in low income settings. It highlights the importance of basic infrastructures being in place, a minimum number of staff with appropriate education and skills as well as sufficient resources before implementing pay for performance. Conclusion: Health professionals working within a pay for performance scheme in Tanzania were concerned about challenges related to shortages of resources, limited supplies and unfavourable community preferences. The P4P scheme may provide the incentive and means to address certain constraints, in so far as they are within the control of providers and managers, however, other constraints will be harder to address.

Tanzania is a low income country with gross domestic product (GDP) per capita (PPP) of $1,775 USD, where total health expenditure accounts for 7% of GDP [13]. Officially, P4P was launched in January 2011 in Pwani region of Tanzania (Figure 1). However, the training, that informed health workers about the content of the scheme, was not done until the second half of 2011 and the first payments were made in the first quarter of 2012. A couple of years prior to the start of the scheme, the government launched a national P4P programme, but this was never fully implemented, meaning health workers are less likely to have changed their behavior in response to the scheme until the first payment was made. Therefore, although health workers were aware of the scheme, they only started to respond to the scheme in the second quarter of 2012. The scheme is implemented by the Tanzanian Ministry of Health and Social Welfare, with technical assistance from the Clinton Health Access Initiative and financial support from the Government of Norway. All facilities (public, private and faith-based) providing reproductive and child health (RCH) services in Pwani were eligible to participate in the pilot. A series of maternal and child health services including, for example, institutional deliveries, and provision of two doses of Intermittent Preventive Treatment (IPT) for malaria during antenatal care are incentivised by the scheme [14]. 75%-90% of facility bonuses are paid to health workers with the remainder going to facility strengthening (drug, supply purchase or minor renovation). Bonus payments account for approximately 10% of the average monthly salaries for RCH workers. In addition, district and regional staff are eligible for bonus payments subject to the performance of the facilities in their district and region and timely and complete compilation of reports. Fund pay-outs are administered by the National Health Insurance Fund, and made every six months based on performance in the previous cycle. Regions in Tanzania. Pwani is in the eastern part of the country. Source: Gregor Aisch on Wikimedia Commons with full permission of usage. Process and impact evaluations of the P4P programme were carried out. As part of the process evaluation, data was collected from a sample of districts over three time points during the life time of the pilot [14]. Here we present the findings from the first round of qualitative data collected from December 2011 to March 2012. We report findings from in-depth interviews and focus group discussions with health workers, and regional, district and facility managers on their perceptions of the environment in which P4P was introduced and its influence on implementation. Qualitative findings presented are supplemented by results from facility and health worker surveys carried out in January 2012, as part of the evaluation of the impact of P4P on service use and quality. Five out of the seven intervention districts were sampled for qualitative data collection, including peri-urban and rural districts and a remote island. Three health facilities participating in the pilot were purposively selected from each of the five districts to ensure representation of each level of care and ownership type (public, faith-based and private), with a total sample of 15 facilities (6 dispensaries, 4 health centers and 5 hospitals; 13 government owned facilities, one faith-based and one private). Interviews were conducted with health workers (n = 27), and with district managers (n = 13). Focus group discussions were held with Health Facility Governing Committee members responsible for facility resource management, from three government facilities and with regional managers. Qualitative data was collected by four Tanzanian social scientists working in pairs at the time of the first cycle of payment. Interviews were conducted in Kiswahili and tape recorded. Audio tapes were transcribed and translated into English by the researchers who conducted the interviews. Data was entered and analysed in Nvivo 9 using thematic content analysis. A survey of 75 facilities and 101 health workers were carried out in Pwani region. Of the 75 sampled facilities, the majority were dispensaries (71%), followed by health centres (21%) and hospitals (8%). The majority of facilities (83%) were owned by the government, 12% by faith based institutions and 5% were parastatal/military facilities. Most of the health workers interviewed (71%) were female and just above half (53%) had college level education or above. The sample of health workers was roughly equally distributed between clinical cadres (44%) and nursing cadres (45%) with the remainder being paramedical cadres. The survey measured basic service provision within the facility (staffing levels, opening hours, facility management, as well as facility infrastructure, drug and equipment availability) in the 12-month period before P4P was implemented. Availability of equipment was based on provider recall. Availability of drugs and supplies was based on review of the drug register/stock cards at facilities. Facilities were sampled from those that were eligible to participate in the scheme and included all eligible hospitals, health centres and non-public dispensaries. Public dispensaries were sampled at random with probability proportional to the number of public dispensaries in a given district. The health worker survey measured the P4P effects on providers’ working conditions and attitudes towards work at the selected facilities. Health workers were sampled at random from each facility from those who were on duty at the facility on the day the interviewers were present. Data was collected from facility staff members by 8 teams of 7 interviewers and 1 supervisor. Data was collected using Samsung Galaxy devices (health worker survey) and on paper (facility survey). Data was analysed using Stata 12. Ethical approval was received from the Ifakara Health Institute institutional review board approval number: 1BI1IRB/38 and the ethics committee of the London School of Hygiene & Tropical Medicine. Written informed consent was obtained from all respondents.

Based on the provided information, here are some potential innovations that could be used to improve access to maternal health:

1. Mobile health (mHealth) applications: Develop and implement mobile applications that provide pregnant women with information, reminders, and access to healthcare services. These apps can also be used to track prenatal care visits and provide educational resources.

2. Telemedicine: Establish telemedicine services that allow pregnant women in remote or underserved areas to consult with healthcare providers remotely. This can help overcome geographical barriers and improve access to prenatal care.

3. Community health workers: Train and deploy community health workers to provide maternal health education, support, and referrals in rural and marginalized communities. These workers can bridge the gap between healthcare facilities and the community, ensuring that pregnant women receive the necessary care and support.

4. Transportation solutions: Develop innovative transportation solutions, such as mobile clinics or ambulance services, to transport pregnant women to healthcare facilities in a timely and safe manner. This can help overcome transportation barriers, especially in areas with limited infrastructure.

5. Financial incentives: Implement financial incentive programs, similar to the pay for performance scheme mentioned in the description, to motivate healthcare providers to prioritize maternal health services. These incentives can be tied to specific targets, such as the number of prenatal care visits or the percentage of institutional deliveries.

6. Maternal health hubs: Establish centralized maternal health hubs that provide comprehensive prenatal care, delivery services, and postnatal care. These hubs can be equipped with skilled healthcare providers, necessary medical equipment, and resources to ensure high-quality care for pregnant women.

7. Public-private partnerships: Foster collaborations between the government, private sector, and non-profit organizations to improve access to maternal health services. This can involve leveraging private sector resources and expertise to enhance healthcare infrastructure and service delivery.

8. Health information systems: Implement robust health information systems that enable the collection, analysis, and sharing of maternal health data. This can help identify gaps in service delivery, monitor progress, and inform evidence-based decision-making to improve maternal health outcomes.

9. Maternal health awareness campaigns: Launch targeted awareness campaigns to educate communities about the importance of maternal health and encourage early and regular prenatal care. These campaigns can address cultural and social barriers that may prevent women from seeking care.

10. Quality improvement initiatives: Implement quality improvement initiatives in healthcare facilities to enhance the overall quality of maternal health services. This can involve training healthcare providers, improving infrastructure, and implementing evidence-based practices to ensure safe and effective care for pregnant women.

It is important to note that the suitability and effectiveness of these innovations may vary depending on the specific context and resources available in Tanzania.
AI Innovations Description
The recommendation based on the analysis of the context of implementation in the pilot project in Tanzania is to consider the following factors when developing an innovation to improve access to maternal health:

1. Salary and employment benefits: Ensure that health workers are adequately compensated and provided with appropriate employment benefits to incentivize their performance and commitment to maternal health services.

2. Resource availability: Ensure that facilities have sufficient staff, medicines, and functioning equipment to provide quality maternal health services. Address shortages and ensure that resources are readily available.

3. Supervision: Implement effective supervision mechanisms to support and guide health workers in delivering maternal health services. Regular supervision can help identify and address any challenges or gaps in service provision.

4. Facility access to utilities: Ensure that facilities have access to basic utilities such as electricity and water, which are essential for providing quality maternal health services. Address any infrastructure issues that may hinder access to utilities.

5. Community preferences: Take into account the preferences and needs of the community when designing and implementing maternal health services. Engage with the community to understand their expectations and tailor services accordingly.

It is important to consider these contextual factors when developing and implementing innovations to improve access to maternal health. By addressing these factors, the innovation can be better tailored to the specific needs and challenges of the local context, leading to improved access and quality of maternal health services.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthening basic infrastructures: Ensure that healthcare facilities have the necessary infrastructure in place, such as functioning equipment, utilities, and sufficient resources, to provide quality maternal health services.

2. Increasing staffing levels: Address shortages of healthcare workers by recruiting and training a sufficient number of staff with appropriate education and skills to meet the demand for maternal health services.

3. Improving resource availability: Ensure that healthcare facilities have access to an adequate supply of medicines, equipment, and other necessary resources to provide comprehensive maternal health care.

4. Enhancing supervision: Implement effective supervision mechanisms to support and monitor healthcare workers in providing quality maternal health services.

5. Addressing community preferences: Take into account the preferences and needs of the community when designing and delivering maternal health services to ensure they are culturally appropriate and acceptable.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define indicators: Identify key indicators that measure access to maternal health, such as the number of institutional deliveries, antenatal care coverage, and maternal mortality rates.

2. Collect baseline data: Gather data on the current status of these indicators in the target area or population to establish a baseline for comparison.

3. Implement interventions: Introduce the recommended innovations, such as strengthening infrastructures, increasing staffing levels, improving resource availability, enhancing supervision, and addressing community preferences.

4. Monitor and evaluate: Continuously monitor the implementation of the interventions and collect data on the selected indicators to assess their impact on improving access to maternal health.

5. Analyze data: Analyze the collected data using statistical methods to determine the extent to which the interventions have influenced the selected indicators.

6. Compare results: Compare the post-intervention data with the baseline data to evaluate the effectiveness of the recommendations in improving access to maternal health.

7. Adjust and refine: Based on the findings, make adjustments and refinements to the interventions as needed to further enhance their impact on improving access to maternal health.

By following this methodology, policymakers and healthcare providers can assess the potential impact of the recommended innovations and make informed decisions on how to improve access to maternal health services.

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