Reforming the registration policy of female sex workers in Senegal? Evidence from a discrete choice experiment.

Evidence suggests that treating sexually transmitted infections (STIs) amongst female sex workers (FSWs) is a cost-effective strategy to reduce the spread of HIV/AIDS. Senegal is the only African country where sex work is regulated by a public health policy which aims to monitor and routinely treat STIs. The law requires FSWs to be at least 21 years old, register with a health centre and the police, carry an up-to-date registration booklet, attend monthly health check-ups, and test negative for STIs. Despite health and legal benefits of registration, 80% of FSWs in Senegal are not registered. Hence, the potential health benefits of the policy have not materialised. To understand why FSWs do not want to register and to define policy changes that would increase the registration rate of FSWs in Senegal, we designed and implemented a discrete choice experiment (DCE) completed by 241 registered and 273 non-registered FSWs. Participants made choices between a series of hypothetical but realistic registration policy changes. Conditional logit models were used to analyse the DCE data. The results highlighted that confidentiality at the health facility was an important element, registered and non-registered FWs were respectively 26.0 percentage points (pp) and 22.1 pp more likely to prefer a policy that guaranteed confidentiality at the health centre. Similarly, both groups preferred a policy where their health record was only held at the health centre and not with the police. Several interventions to increase FSW registration rate and improve their wellbeing may be implemented without modifying the law. For example, the introduction of psychosocial support in the registration policy package, replacing the registration booklet by a QR code, the use of electronic medical files and the integration of FSWs routine visits with maternal health appointments to increase confidentiality have the potential to encourage registration of FSWs.

Levels and determinants of overprescribing of antibiotics in the public and private primary care sectors in South Africa.

Although overprovision of antibiotics in primary care is a key driver of antibiotic resistance, little is known about its determinants in low-income and middle-income countries. Patient demand and financial incentives for providers are often held responsible for overprovision. Yet, inadequate provision exists in their absence and could be fuelled by quality of care issues and incorrect beliefs of providers regarding patients' expectations. We explored these issues in the private and public sector in South Africa, by conducting a cross-sectional study using standardised patients (SPs)-healthy individuals trained to portray a scripted clinical case to providers-presenting with symptoms of a viral respiratory infection in a sample of public and private sector clinics. We linked data from SP visits to rich survey data to compare the practices and their predictors in the two sectors. Unnecessary rates of antibiotics were similarly high in the public (78%) and private sector (67%), but private providers prescribed more antibiotics at higher risk of resistance development. In the private sector, overprescription of antibiotics diminished when consultations were more thorough, but increased for consultations scheduled later in the day, suggesting contrasting effects for provider effort and decision fatigue. We observed differences in beliefs that could be responsible for overprescription: in the public sector, a majority of providers (nurses) wrongly believed that antibiotics would help the patient recover more quickly. In the private sector, a majority of doctors thought patients would not come back if they did not receive antibiotics. Overall, this evidence suggests that different factors may be responsible for the high overprescribing rates of antibiotics in the public and private sectors. Tailored stewardship interventions are urgently needed that tackle providers' engrained habits and incorrect beliefs.

The long-term effects of free care on birth outcomes: Evidence from a national policy reform in Zambia.

As women in many countries still fail to give birth in facilities due to financial barriers, many see the abolition of user fees as a key step on the path towards universal coverage. We exploited the staggered removal of user charges in Zambia from 2006 to estimate the effect of user fee removal up to five years after the policy change. We used data from the birth histories of two nationally representative Demographic and Health Surveys to implement a difference-in-differences analysis and identify the causal impact of removing user charges on institutional and assisted deliveries, caesarean sections and neonatal deaths. We also explored heterogeneous effects of the policy. Removing fees had little effect in the short term but large positive effects appeared about two years after the policy change. Institutional deliveries in treated areas increased by 10 and 15 percentage points in peri-urban and rural districts respectively (corresponding to a 25 and 35 percent change), driven entirely by a reduction in home births. However, there was no evidence that the reform changed the behaviours of women with lower education, the proportion of caesarean sections or reduced neonatal mortality. Institutional deliveries increased where care quality was high, but not where it was low. While abolishing user charges may reduce financial hardship from healthcare payments, it does not necessarily improve equitable access to care or health outcomes. Shifting away from user fees is a necessary but insufficient step towards universal health coverage, and concurrent reforms are needed to target vulnerable populations and improve quality of care.

Discrete choice analysis of health worker job preferences in Ethiopia: Separating attribute non-attendance from taste heterogeneity.

When measuring preferences, discrete choice experiments (DCEs) typically assume that respondents consider all available information before making decisions. However, many respondents often only consider a subset of the choice characteristics, a heuristic called attribute non-attendance (ANA). Failure to account for ANA can bias DCE results, potentially leading to flawed policy recommendations. While conventional latent class logit models have most commonly been used to assess ANA in choices, these models are often not flexible enough to separate non-attendance from respondents' low valuation of certain attributes, resulting in inflated rates of ANA. In this paper, we show that semi-parametric mixtures of latent class models can be used to disentangle successfully inferred non-attendance from respondent's "weaker" taste sensitivities for certain attributes. In a DCE on the job preferences of health workers in Ethiopia, we demonstrate that such models provide more reliable estimates of inferred non-attendance than the alternative methods currently used. Moreover, since we find statistically significant variation in the rates of ANA exhibited by different health worker cadres, we highlight the need for well-defined attributes in a DCE, to ensure that ANA does not result from a weak experimental design.

Does high workload reduce the quality of healthcare? Evidence from rural Senegal.

There is a widely held perception that staff shortages in low and middle-income countries (LMICs) lead to excessive workloads, which in turn worsen the quality of healthcare. Yet there is little evidence supporting these claims. We use data from standardised patient visits in Senegal and determine the effect of workload on the quality of primary care by exploiting quasi-random variation in workload. We find that despite a lack of staff, average levels of workload are low. Even at times when workload is high, there is no evidence that provider effort or quality of care are significantly reduced. Our data indicate that providers operate below their production possibility frontier and have sufficient capacity to attend more patients without compromising quality. This contradicts the prevailing discourse that staff shortages are a key reason for poor quality primary care in LMICs and suggests that the origins likely lie elsewhere.

Can patients improve the quality of care they receive? Experimental evidence from Senegal.

Providers in many low and middle-income countries (LMICs) often fail to correctly diagnose and treat their patients, even though they have the clinical knowledge to do so. Against the backdrop of many failed attempts to increase provider effort, this study examines whether quality of care can be improved by encouraging patients to be more active during consultations. We design a simple experiment with undercover standardised patients who randomly vary how much information they disclose about their symptoms. We find that providers are 27% more likely to correctly manage a patient who volunteers several key symptoms of their condition at the start of the consultation, compared to a typical patient who shares less information. Lower performance in the control group is not due to providers' lack of knowledge, an incapacity to ask the right questions, or a response to time or resource constraints. Instead, providers' low motivation seems to limit their ability to adapt their effort to patients' inputs in the consultation. Our findings provide proof-of-concept evidence that interventions making patients more active in their consultations could significantly improve the quality of care in LMICs.

Framing and signalling effects of taxes on sugary drinks: A discrete choice experiment among households in Great Britain.

Taxes on sugar-sweetened beverages (SSBs) are in place in many countries to combat obesity with emerging evidence that these are effective in reducing purchases of SSBs. In this study, we tested whether signalling and framing the price increase from an SSB tax explicitly as a health-related, earmarked measure reduces the demand for SSBs more than an equivalent price increase. We measured the demand for non-alcoholic beverages with a discrete choice experiment (DCE) administered online to a randomly selected group of n = 603 households with children in Great Britain (GB) who regularly purchase SSBs. We find a suggestive evidence that a price increase leads to a larger reduction in the probability of choosing SSBs when it is signalled as a tax and framed as a health-related and earmarked policy. Respondents who did not support a tax on SSBs, who were also more likely to choose SSBs in the first place, were on average more responsive to a price increase framed as an earmarked tax than those who supported the tax. The predictive validity of the DCE, to capture preferences for beverages, was confirmed using actual purchase data. The findings imply that a well-signalled and earmarked tax on SSBs could improve its effectiveness at reducing the demand.

Measuring patient trust: Comparing measures from a survey and an economic experiment.

Despite its importance in health care, empirical evidence on patient trust is limited. This is likely because, as with many complex concepts, trust is difficult to measure. This study measured patient trust in health care providers in a sample of 667 patients in Senegal. Two instruments were used to measure patient trust in providers: a survey questionnaire and an incentivised behavioural economic experiment-a "trust game." The results show that the two measures are significantly, but weakly, associated. Using information from patients and providers, we find that continuity of care, provider communication ability, and clinical competence were positively associated with patient trust. Based on the results obtained from both methods, the trust game seems to have higher construct validity than the survey instrument in this context. This paper contributes to the methodological literature on patient trust and the evidence on the determinants of patient trust. It suggests that researchers interested in studying patient trust in providers should rely more on economic experiments and explore their validity in different contexts.

Conditional Cash Transfers And Health Of Low-Income Families In The US: Evaluating The Family Rewards Experiment.

Opportunity NYC-Family Rewards was the first conditional cash transfer, randomized controlled trial for low-income families in the United States. From 2007 to 2010, Family Rewards offered 2,377 New York City families cash transfers that were conditional upon their investments in education, preventive health care, and parental employment. Their health and other outcomes were compared to those of a control group of 2,372 families. The experiment led to a modest improvement in health insurance coverage and a large increase in the use of preventive dental care. It improved parents' perception of their own health and levels of hope, mainly through improvements in reported financial well-being. While the program's impacts on physical health were weaker, our study might not have captured effects on chronic disease risk that take longer to accrue. In the context of New York City's operating social-safety-net programs, conditional cash transfers may have led to positive, albeit modest, improvements in the health of poor families.

The efficiency of the local health systems: investigating the roles of health administrations and health care providers.

The analysis of efficiency in health care has largely focussed either on individual health care providers, or on sub-national health systems conceived as a unique decision-making unit. However, in hierarchically organized national health services, two separate entities are responsible for turning financial resources into services at the local level: health administrations and health care providers. Their separate roles and the one of health administrations in particular have not been explicitly considered in efficiency analysis. We applied stochastic frontier analysis to district-level panel data from Mozambique (2008-2011) to assess district efficiency in delivering outpatient care. We first assessed the efficiency of the whole district considered as an individual decision-making unit, and then we assessed separately the efficiency of health administrations and health care providers within the same district. We found that on average only 73% of the outpatient consultations deliverable using available inputs were realized, with large differences in performance across districts. Individual districts performed differently in administrative or health care delivery functions. On average, a reduction of administrative inefficiency by 10 percentage points, for a given expenditure would increase by 0.2% the volume of services delivered per thousand population per year. Identifying and targeting the specific drivers of administrative inefficiencies can contribute to increase service.

How effective and fair is user fee removal? Evidence from Zambia using a pooled synthetic control.

Despite its high political interest, the impact of removing user charges for health care in low-income settings remains a debatable issue. We try to clear up this contentious issue by estimating the short-term effects of a policy change that occurred in 2006 in Zambia, when 54 of 72 districts removed fees. We use a pooled synthetic control method in order to estimate the causal impact of the policy on health care use, the provider chosen, and out-of-pocket medical expenses. We find no evidence that user fee removal increased health care utilisation, even among the poorest group. However, we find that the policy is likely to have led to a substitution away from the private sector for those using care and that it virtually eliminated medical expenditures, thereby providing financial protection to service users. We estimate that the policy was equivalent to a transfer of US$3.2 per health visit for the 50% richest but of only US$1.1 for the 50% poorest.

Specialty training for the retention of Malawian doctors: A cost-effectiveness analysis.

Few medical schools and sustained emigration have led to low numbers of doctors in many sub-Saharan African countries. The opportunity to undertake specialty training has been shown to be particularly important in retaining doctors. Yet limited training capacity means that doctors are often sent to other countries to specialise, increasing the risk that they may not return. Expanding domestic training, however, may be constrained by the reluctance of doctors to accept training in their home country. We modelled different policy options in an example country, Malawi, to examine the cost-effectiveness of expanding specialty training to retain doctors in sub-Saharan Africa. We designed a Markov model of the physician labour market in Malawi, incorporating data from graduate tracing studies in 2006 and 2012, a 2013 discrete choice experiment on 148 Malawian doctors and 2015 cost data. A government perspective was taken with a time horizon of 40 years. Expanded specialty training in Malawi or South Africa with increasing mandatory service before training was compared against baseline conditions. The outcome measures were cost per doctor-year and cost per specialist-year spent working in the Malawian public sector. Expanding specialty training in Malawi is more cost-effective than training outside Malawi. At least two years of mandatory service would be more cost-effective, with five years adding the most value in terms of doctor-years. After 40 years of expanded specialty training in Malawi, the medical workforce would be over fifty percent larger with over six times the number of specialists compared to current trends. However, the government would need to be willing to pay at least 3.5 times more per doctor-year for a 5% increase and a third more per specialist-year for a four-fold increase. Greater returns are possible from doctors with more flexible training preferences. Sustained funding of specialty training may improve retention in sub-Saharan Africa.

Measuring inequalities in the distribution of the Fiji Health Workforce.

BACKGROUND: Despite the centrality of health personnel to the health of the population, the planning, production and management of human resources for health remains underdeveloped in many low- and middle-income countries (LMICs). In addition to the general shortage of health workers, there are significant inequalities in the distribution of health workers within LMICs. This is especially true for countries like Fiji, which face major challenges in distributing its health workforce across many inhabited islands. METHODS: In this study, we describe and measure health worker distributional inequalities in Fiji, using data from the 2007 Population Census, and Ministry of Health records of crude death rates and health workforce personnel. We adopt methods from the economics literature including the Lorenz Curve/Gini Coefficient and Theil Index to measure the extent and drivers of inequality in the distribution of health workers at the sub-national level in Fiji for three categories of health workers: doctors, nurses, and all health workers (doctors, nurses, dentists and health support staff). Population size and crude death rates are used as proxies for health care needs. RESULTS: There are greater inequalities in the densities of health workers at the provincial level, compared to the divisional level in Fiji - six of the 15 provinces fall short of the recommended threshold of 2.3 health workers per 1,000 people. The estimated decile ratios, Gini co-efficient and Thiel index point to inequalities at the provincial level in Fiji, mainly with respect to the distribution of doctors; however these inequalities are relatively small. CONCLUSION: While populations with lower mortality tend to have a slightly greater share of health workers, the overall distribution of health workers on the basis of need is more equitable in Fiji than for many other LMICs. The overall shortage of health workers could be addressed by creating new cadres of health workers; employing increasing numbers of foreign doctors, including specialists; and increasing funding for health worker training, as already demonstrated by the Fiji government. Close monitoring of the equitable distribution of additional health workers in the future is critical.

Physicians' responses to financial and social incentives: A medically framed real effort experiment.

Because compensation policies have critical implications for the provision of health care, and evidence of their effects is limited and difficult to study in the real world, laboratory experiments may be a valuable methodology to study the behavioural responses of health care providers. With this experiment undertaken in 2013, we add to this new literature by designing a new medically framed real effort task to test the effects of different remuneration schemes in a multi-tasking context. We assess the impact of different incentives on the quantity (productivity) and quality of outputs of 132 participants. We also test whether the existence of benefits to patients influences effort. The results show that salary yields the lowest quantity of output, and fee-for-service the highest. By contrast, we find that the highest quality is achieved when participants are paid by salary, followed by capitation. We also find a lot of heterogeneity in behaviour, with intrinsically motivated individuals hardly sensitive to financial incentives. Finally, we find that when work quality benefits patients directly, subjects improve the quality of their output, while maintaining the same levels of productivity. This paper adds to a nascent literature by providing a new approach to studying remuneration schemes and modelling the medical decision making environment in the lab.

Factors associated with the choice of public health service among nursing students in Thailand.

BACKGROUND: Despite the fact that public and private nursing schools have contributed significantly to the Thai health system, it is not clear whether and to what extent there was difference in job preferences between types of training institutions. This study aimed to examine attitudes towards rural practice, intention to work in public service after graduation, and factors affecting workplace selection among nursing students in both public and private institutions. METHODS: A descriptive comparative cross-sectional survey was conducted among 3349 students from 36 nursing schools (26 public and 10 private) during February-March 2012, using a questionnaire to assess the association between training institution characteristics and students' attitudes, job choices, and intention to work in the public sector upon graduation. Comparisons between school types were done using ANOVA, and Bonferroni-adjusted multiple comparisons tests. Principal component analysis (PCA) was used to construct a composite rural attitude index (14 questions). Cronbach's alpha was used to examine the internal consistency of the scales, and ANOVA was then used to determine the differences. These relationships were further investigated through multiple regression. RESULTS: A higher proportion of public nursing students (86.4% from the Ministry of Public Health and 74.1% from the Ministry of Education) preferred working in the public sector, compared to 32.4% of students from the private sector (p = <0.001). Rural upbringing and entering a nursing education program by local recruitment were positively associated with rural attitude. Students who were trained in public nursing schools were less motivated by financial incentive regarding workplace choices relative to students trained by private institutions. CONCLUSIONS: To increase nursing workforce in the public sector, the following policy options should be promoted: 1) recruiting more students with a rural upbringing, 2) nurturing good attitudes towards working in rural areas through appropriate training at schools, 3) providing government scholarships for private students in exchange for compulsory work in rural areas, and 4) providing a non-financial incentive package (e.g. increased social benefits) in addition to financial incentives for subsequent years of work.

The use of specialty training to retain doctors in Malawi: A discrete choice experiment.

Emigration has contributed to a shortage of doctors in many sub-Saharan African countries. Specialty training is highly valued by doctors and a potential tool for retention. Yet not all types of training may be valued equally. In the first study to examine preferences for postgraduate training in depth, we carried out a discrete choice experiment as part of a cross-sectional survey of all Malawian doctors within seven years of graduation and not yet in specialty training. Over August 2012 to March 2013, 148 doctors took part out of 153 eligible in Malawi. Despite evidence that specialty training is highly sought after, Malawian junior doctors would not accept all types of training. Doctors preferred timely training outside of Malawi in core specialties (internal medicine, general surgery, paediatrics, obstetrics & gynaecology). Specialty preferences are particularly strong, with most junior doctors requiring nearly double their monthly salary to accept training all in Malawi and over six-fold to accept training in ophthalmology (representing a bundle of unpopular but priority specialties). In contrast, the location of work before training did not significantly influence most doctors' choices when guaranteed specialty training. Using a latent class model, we identified four subgroups of junior doctors with distinct preferences. Policy simulations showed that these preferences could be leveraged by policymakers to improve retention in exchange for guaranteed specialty training, however incentivising the uptake of training in priority specialties will only be effective in those with more flexible preferences. These results indicate that indiscriminate expansion of postgraduate training to slow emigration of doctors from sub-Saharan African countries may not be effective unless doctors' preferences are taken into account.