Ghana's Livelihood Empowerment Against Poverty (1000) Program Seasonally Impacts Birthweight: A Difference-in-Differences Analysis

Impact of Medical-Pharmaceutical Separation Reform on Hospitalization Expenditure in Tertiary Public Hospitals: Difference-in-Difference Analysis Based on Panel Data from Beijing

Purpose

The medical-pharmaceutical separation (MPS) reform is a healthcare reform that focuses on reducing the proportion of drug expenditure. This study aims to analyze the impact of the MPS reform on hospitalization expenditure and its structure in tertiary public hospitals.

Methods

Using propensity score matching and multi-period difference-in-difference methods to analyze the impact of the MPS reform on hospitalization expenditure and its structure, a difference-in-difference-in-difference model was established to analyze the heterogeneity of whether the tertiary public hospital was a diagnosis-related-group (DRG) payment hospital. Of 22 municipal public hospitals offering tertiary care in Beijing, monthly panel data of 18 hospitals from July 2011 to March 2017, totaling 1242 items, were included in this study.

Results

After the MPS reform, the average drug expenditure, average Western drug expenditure, and average Chinese drug expenditures per hospitalization decreased by 24.5%, 24.6%, and 24.1%, respectively (P < 0.001). The proportions of drug expenditure decreased by 4.5% (P < 0.001), and the proportion of medical consumables expenditure increased significantly by 2.7% (P < 0.001).

Conclusion

The MPS reform may significantly optimize the hospitalization expenditure structure and control irrational increases in expenditure. DRG payment can control the tendency to increase the proportions of medical consumables expenditure after the reform and optimize the effect of the reform. There is a need to strengthen the management of medical consumables in the future, promote the MPS reform and DRG payment linkage, and improve supporting measures to ensure the long-term effect of the reform.

Impact of cash transfers on the association between prenatal exposures to high temperatures and low birthweight: Retrospective analysis from the LEAP 1000 study

OBJECTIVE

To explore the associations between prenatal temperature exposures and low birthweight (LBW) and modification by cash transfer (CT) receipt.

DESIGN

Retrospective cohort study.

SETTING

Five rural districts in Northern Ghana.

POPULATION OR SAMPLE

A total of 3016 infants born to women interviewed as part of the Livelihood Empowerment Against Poverty (LEAP 1000) impact evaluation between 2015 and 2017.

METHODS

Birthweight was collected using household surveys administered to LEAP 1000 eligible women. We used a UNICEF-developed multiple imputation approach to address missingness of birthweight and applied an empirical heaping correction to the multiply imputed birthweight data. Survey data were linked to the European Centre for Medium-Range Weather Forecasts Reanalysis 5-hourly temperature averaged to weeks for 2011-2017 using community centroids. Using distributed-lag nonlinear models, we explored the lag-specific associations between weekly average temperatures greater than 30°C and LBW, and stratified by LEAP 1000 treatment.

MAIN OUTCOME MEASURES

Low birthweight (<2.5 kg).

RESULTS

Twelve percent (n = 365) of infants were LBW; the mean ± SD birthweight was 3.02 ± 0.37 kg. Overall, increasing temperatures were associated with increased odds of LBW, with the greatest odds observed in the 3 weeks before birth (odds ratio 1.005-1.025). These positive associations were even larger among comparison infants and null among treatment infants.

CONCLUSIONS

Our study found increased odds of LBW with high weekly average temperatures throughout pregnancy and the preconception period and demonstrate mitigated effects by the LEAP 1000 CT program. More evidence on the potential of CTs to serve as adaptation interventions in low- and middle-income countries is needed to protect pregnant persons and their infants from the impacts of climate change.

The dose-response association between LEAP 1000 and birthweight - no clear mechanisms: a structural equation modeling approach

BACKGROUND

Birthweight is an important indicator of maternal and fetal health globally. The multifactorial origins of birthweight suggest holistic programs that target biological and social risk factors have great potential to improve birthweight. In this study, we examine the dose-response association of exposure to an unconditional cash transfer program before delivery with birthweight and explore the potential mediators of the association.

METHODS

Data for this study come from the Livelihood Empowerment Against Poverty (LEAP) 1000 impact evaluation conducted between 2015 and 2017 among a panel sample of 2,331 pregnant and lactating women living in rural households of Northern Ghana. The LEAP 1000 program provided bi-monthly cash transfers and premium fee waivers to enroll in the National Health Insurance Scheme (NHIS). We used adjusted and unadjusted linear and logistic regression models to estimate the associations of months of LEAP 1000 exposure before delivery with birthweight and low birthweight, respectively. We used covariate-adjusted structural equation models (SEM) to examine mediation of the LEAP 1000 dose-response association with birthweight by household food insecurity and maternal-level (agency, NHIS enrollment, and antenatal care) factors.

RESULTS

Our study included a sample of 1,439 infants with complete information on birthweight and date of birth. Nine percent of infants (N = 129) were exposed to LEAP 1000 before delivery. A 1-month increase in exposure to LEAP 1000 before delivery was associated with a 9-gram increase in birthweight and 7% reduced odds of low birthweight, on average, in adjusted models. We found no mediation effect by household food insecurity, NHIS enrollment, women's agency, or antenatal care visits.

CONCLUSIONS

LEAP 1000 cash transfer exposure before delivery was positively associated with birthweight, though we did not find any mediation by household- or maternal-level factors. The results of our mediation analyses may serve to inform program operations and improve targeting and programming to optimize health and well-being among this population.

TRIAL REGISTRATION

The evaluation is registered in the International Initiative for Impact Evaluation's (3ie) Registry for International Development Impact Evaluations (RIDIESTUDY- ID-55942496d53af) and in the Pan African Clinical Trial Registry (PACTR202110669615387).