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Background: Pay for performance (P4P) schemes provide financial incentives to health workers or facilities based on the achievement of pre-specified performance targets and have been widely implemented in health systems across low and middle-income countries (LMICs). The growing evidence base on P4P highlights that (i) there is substantial variation in the effect of P4P schemes on outcomes and (ii) there appears to be heterogeneity in incentive design. Even though scheme design is likely a key determinant of scheme effectiveness, we currently lack systematic evidence on how P4P schemes are designed in LMICs. Methods: We develop a typology to classify the design of P4P schemes in LMICs, which highlights different design features that are a priori likely to affect the behaviour of incentivised actors. We then use results from a systematic literature review to classify and describe the design of P4P schemes that have been evaluated in LMICs. To capture academic publications, Medline, Embase, and EconLit databases were searched. To include relevant grey literature, Google Scholar, Emerald Insight, and websites of the World Bank, WHO, Cordaid, Norad, DfID, USAID and PEPFAR were searched. Results: We identify 41 different P4P schemes implemented in 29 LMICs. We find that there is substantial heterogeneity in the design of P4P schemes in LMICs and pinpoint precisely how scheme design varies across settings. Our results also highlight that incentive design is not adequately being reported on in the literaturewith many studies failing to report key design features. Conclusions: We encourage authors to make a greater effort to report information on P4P scheme design in the future and suggest using the typology laid out in this paper as a starting point.

Background Many governments have introduced pay-for-performance programmes to incentivise health providers to improve quality of care. Evidence on whether these programmes reduce or exacerbate disparities in health care is scarce. In this study, we aimed to assess socioeconomic inequalities in the performance of family health teams under Brazil's National Programme for Improving Primary Care Access and Quality (PMAQ). Methods For this longitudinal study, we analysed data on the quality of care delivered by family health teams participating in PMAQ over three rounds of implementation: round 1 (November, 2011, to March, 2013), round 2 (April, 2013, to September, 2015), and round 3 (October, 2015, to December, 2019). The primary outcome was the percentage of the maximum performance score obtainable by family health teams (the PMAQ score), based on several hundred (ranging from 598 to 914) indicators of health-care delivery. Using census data on household income of local areas, we examined the PMAQ score by income ventile. We used ordinary least squares regressions to examine the association between PMAQ scores and the income of each local area across implementation rounds, and we did an analysis of variance to assess geographical variation in PMAQ score. Findings Of the 40 361 family health teams that were registered as ever participating in PMAQ, we included 13 934 teams that participated in the three rounds of PMAQ in our analysis. These teams were located in 11 472 census areas and served approximately 48 million people. The mean PMAQ score was 61•0% (median 61•8, IQR 55•3-67•9) in round 1, 55•3% (median 56•0, IQR 47•6-63•4) in round 2, and 61•6% (median 62•7, IQR 54•4-69•9) in round 3. In round 1, we observed a positive socioeconomic gradient, with the mean PMAQ score ranging from 56•6% in the poorest group to 64•1% in the richest group. Between rounds 1 and 3, mean PMAQ performance increased by 7•1 percentage points for the poorest group and decreased by 0•8 percentage points for the richest group (p<0•0001), with the gap between richest and poorest narrowing from 7•5 percentage points (95% CI 6•5 to 8•5) to-0•4 percentage points over the same period (-1•6 to 0•8). Interpretation Existing income inequalities in the delivery of primary health care were eliminated during the three rounds of PMAQ, plausibly due to a design feature of PMAQ that adjusted financial payments for socioeconomic inequalities. However, there remains an important policy agenda in Brazil to address the large inequities in health.

This study uses multi-level regression analysis to determine the impact of macrolevel drivers on intimate partner violence. It argues that we need to look beyond the usual, individual-level risk factors in order to understand why women experience abuse at the hands of their intimate partners. Using Demographic and Health Survey data from 40 developing countries, this paper demonstrates that socio-economic development, beliefs and laws play an important role in explaining intimate partner violence.Keywords: violence against women, domestic violence, intimate partner violence, multilevel analysis 2

There is currently a heated debate about making face masks compulsory in public spaces to contain COVID-19. A key concern is that such policies could lead to risk compensating behaviour and thereby undermine efforts to maintain social distancing and reduce mobility. We provide first evidence on the impact of compulsory face mask policies on community mobility. We exploit the staggered implementation of policies by German states and measure community mobility using geolocated smartphone data. We find no evidence suggesting that compulsory masking policies affect community mobility in Germany. We can rule out even small increases larger than 0.03 standard deviations.

Pay-for-performance (P4P) is the provision of financial incentives to healthcare providers based on pre-specified performance targets. P4P has been used as a policy tool to improve healthcare provision globally. However, researchers tend to cluster into those working on high or low- and middle-income countries (LMICs), with still limited knowledge exchange, potentially constraining opportunities for learning from across income settings. We reflect here on some commonalities and differences in the design of P4P schemes, research questions, methods and data across income settings. We highlight how a global perspective on knowledge synthesis could lead to innovations and further knowledge advancement.

BackgroundEvidence on the effect of pay-for-performance (P4P) schemes on provider performance is mixed in low-income and middle-income countries. Brazil introduced its first national-level P4P scheme in 2011 (PMAQ-Brazilian National Programme for Improving Primary Care Access and Quality). PMAQ is likely one of the largest P4P schemes in the world. We estimate the association between PMAQ and hospitalisations for ambulatory care sensitive conditions (ACSCs) based on a panel of 5564 municipalities.MethodsWe conducted a fixed effect panel data analysis over the period of 2009–2018, controlling for coverage of primary healthcare, hospital beds per 10 000 population, education, real gross domestic product per capita and population density. The outcome is the hospitalisation rate for ACSCs among people aged 64 years and under per 10 000 population. Our exposure variable is defined as the percentage of family health teams participating in PMAQ, which captures the roll-out of PMAQ over time. We also provided several sensitivity analyses, by using alternative measures of the exposure and outcome variables, and a placebo test using transport accident hospitalisations instead of ACSCs.ResultsThe results show a negative and statistically significant association between the rollout of PMAQ and ACSC rates for all age groups. An increase in PMAQ participating of one percentage point decreased the hospitalisation rate for ACSC by 0.0356 (SE 0.0123, p=0.004) per 10 000 population (aged 0–64 years). This corresponds to a reduction of approximately 60 829 hospitalisations in 2018. The impact is stronger for children under 5 years (−0.0940, SE 0.0375, p=0.012), representing a reduction of around 11 936 hospitalisations. Our placebo test shows that the association of PMAQ on the hospitalisation rate for transport accidents is not statistically significant, as expected.ConclusionWe find that PMAQ was associated with a modest reduction in hospitalisation for ACSCs.

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