Can the income level of rural residents be improved by the Chinese "Broadband Village?": Evidence from a regression discontinuity design of the six pilot provinces.
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SUBMITTER: Liu Y
PROVIDER: S-EPMC8057606 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveHealth equality has drawn much public attention in both developed and developing countries. China, the largest developing country, has implemented a new round of health system reform to improve health equality since 2009. This study aims to examine the magnitude and sources of income-related health inequality in western rural regions of China.MethodsData were obtained from the Survey of Rural Economic and Social Development in Western China conducted in 2014, in which 14,555 individuals from 5,299 households in 12 provinces were included. Health outcome variables of interest were self-rated health status, prevalence of chronic disease and four-week illness. Concentration index was calculated to assess magnitude of income-related health inequality, and nonlinear decomposition analysis was performed to identify the sources of health inequality.ResultsThe Concentration indexes for poor self-rated health status, prevalence of chronic disease and four-week illness were -0.0898 (P<0.001),-0.0860 (P<0.001) and -0.1284 (P<0.001), respectively. Income and education were two main sources of health inequality, accounting for about 25-50% and 15% contribution to the inequality. Ethnicity made <10% contribution to income-related health inequality, and enrollment in New Rural Cooperative Medical Scheme contributed to <1%.ConclusionThis study found slight income-related health inequality among rural residents in western China, implying that although China has made substantial progress in economic development and poverty alleviation, health inequality in western rural region should still be concerned by the government. To achieve health equality further, the Chinese government should not only strengthen its reimbursement mechanism of the current health insurance scheme to improve affordability of primary healthcare for residents in western rural regions, but also implement health poverty alleviation policies targeting socioeconomically vulnerable population and ethnic minorities in future.
| S-EPMC9797679 | biostudies-literature
Project description:BackgroundNo studies, particularly quantitative analyses, have been conducted regarding the workload of village doctors in the National Essential Public Health Services (NEPHS) program and differences in service delivery by village doctors, according to region and services. In this study, we developed a quantitative analysis approach to measure the workload of NEPHS provided by village doctors in six provinces of China in 2016. We aimed to identify areas and services of the NEPHS needing improvement, so as to implement targeted measures to ensure adequate delivery of NEPHSs in rural remote underserved areas.MethodsBased on survey data from 300 town hospital centers (THCs) located in 60 counties in the six selected provinces, we calculated village doctors' share of workload under the NEPHS using the equivalent value (EV) model. To define the workload and corresponding EV of each NEPHS, a series of five meetings was held with THC managers, public health workers, family physicians, nurses and village doctors. Field observations were conducted to verify the workload and EV of each service.ResultsVillage doctors' share of the workload under the NEPHS program was 43.71% across the 300 sampled THCs in six provinces. The village doctors' workload shares for different NEPHS ranged from 17.14 to 57.00%. The percentage workload undertaken by village doctors under the NEPHS program varied across different provinces, with the highest proportion 63.4% and the lowest 28.5%.ConclusionsThe total NEPHS workload assigned to village doctors by THCs in the six sampled provinces exceeded the Chinese government's requirement of 40%, but the workload proportion in some provinces was less than 40%. In addition, the percentage workload for some NEPHS undertaken by village doctors was lower than others. We suggest conducting district-level analysis of the workload among village doctors under the NEPHS program using the EV method, to identify areas and services needing improvement, to implement targeted measures to expand and promote health service provision in China's rural underserved areas.
| S-EPMC7727222 | biostudies-literature
Project description:ObjectiveTo assess whether case finding for depression among people aged 65 and above improves mental health.DesignOpportunistic evaluation using a regression discontinuity analysis with data from a randomised controlled trial.SettingThe REFORM trial, a falls prevention study that recruited patients from NHS podiatry clinics.Participants1010 community-dwelling adults over the age of 65 with at least one risk factor for falling (recent previous fall or fear of falling).InterventionLetter sent to patient's General Practitioner if they scored 10 points or above on the 15-item Geriatric Depression Scale (GDS-15) informing them of the patient's risk of depression.Main outcome measureGDS-15 score six months after initial completion of GDS-15.Results895 (88.6%) of the 1010 participants randomised into REFORM had a valid baseline and six-month GDS-15 score and were included in this study. The mean GDS-15 baseline score was 3.5 (SD 3.0, median 3.0, range 0-15); 639 (71.4%) scored 0-4, 204 (22.8%) scored 5-9 indicating mild depression, and 52 (5.8%) scored 10 or higher indicating severe depression. At six months follow-up, those scoring 10 points or higher at baseline had, on average, a reduction of 1.08 points on the GDS-15 scale (95% confidence interval -1.83 to -0.33, p = 0.005) compared to those scoring less than 10, using the simplest linear regression model.ConclusionCase finding of depression in podiatry patients based on a GDS-15 score of 10 or more followed by a letter to their General Practitioner significantly reduced depression severity. Whether this applies to all older patients in primary care is unknown. Further research is required to confirm these findings. Regression discontinuity analyses could be prespecified and embedded within other existing research studies.
| S-EPMC10950230 | biostudies-literature
Project description:ObjectivesTo investigate the impact of no cost sharing on paediatric care on usage and health outcomes, and whether the effect varies by household income levels.DesignRegression discontinuity design.SettingNationwide medical claims database in Japan.ParticipantsChildren aged younger than 20 years from April 2018 to March 2022.ExposureCo-insurance rate that increases sharply from 0% to 30% at a certain age threshold (the threshold age varies between 6 and 20 years depending on region).Primary outcome measuresThe outpatient care usage (outpatient visit days and healthcare spending for outpatient care) and inpatient care (experience of any hospitalisation and healthcare spending for inpatient care).ResultsOf 244 549 children, 49 556 participants were in the bandwidth and thus included in our analyses. Results from the regression discontinuity analysis indicate that no cost sharing was associated with a significant increase in the number of outpatient visit days (+5.26 days; 95% CI, +4.89 to +5.82; p<0.01; estimated arc price elasticity, -0.45) and in outpatient healthcare spending (+US$369; 95% CI, +US$344 to +US$406; p<0.01; arc price elasticity, -0.55). We found no evidence that no cost sharing was associated with changes in inpatient care usage. Notably, the effect of no cost-sharing policy on outpatient healthcare usage was larger among children from high-income households (visit days +5.96 days; 95% CI, +4.88 to +7.64, spending +US$511; 95% CI, +US$440 to +US$627) compared with children from low-income households (visit days +2.64 days; 95% CI, +1.54 to +4.23, spending +US$154; 95% CI, +US$80 to +US$249).ConclusionsNo cost sharing for paediatric care was associated with a greater usage of outpatient care services, but did not affect inpatient care usage. The study found that this effect was more pronounced among children from high-income households, indicating that the no cost sharing disproportionately benefits high-income households and may contribute to larger disparities.
| S-EPMC10441085 | biostudies-literature
Project description:Knowledge of region-specific factors affecting the cardiovascular health (CVH) is mandatory to reduce the growing burden of stroke and ischemic heart disease in rural areas of Latin American. We conducted a population-based case-control study to assess the CVH status of Atahualpa residents-a rural village representative of Coastal Ecuador-according to their living arrangements.All Atahualpa residents aged ?40 years and free of stroke or ischemic heart disease that lived alone were identified during a door-to-door census, and their CVH status was compared to that of a sample of residents that lived with relatives. Four controls individually matched for age, gender, education, job and alcohol intake, and randomly selected from different households, were selected for each case-person.A total of 185 persons (37 who lived alone and 148 matched controls) were included. A poor CVH status was found in 89.2 % case-patients and 72.3 % controls (p = 0.03). We found significantly worse levels of physical activity (p < 0.0001) and non-significant trends for worse healthy diet and glucose levels among case-persons than controls.This study suggests that social isolation is associated with a worse CVH in rural coastal Ecuador. An ongoing community-based intervention may prove effective to improve CVH status in these social isolated persons.
| S-EPMC3773088 | biostudies-literature
Project description:BackgroundRegression discontinuity designs are non-randomized study designs that permit strong causal inference with relatively weak assumptions. Interest in these designs is growing but there is limited knowledge of the extent of their application in health. We aimed to conduct a comprehensive systematic review of the use of regression discontinuity designs in health research.MethodsWe included studies that used regression discontinuity designs to investigate the physical or mental health outcomes of any interventions or exposures in any populations. We searched 32 health, social science, and gray literature databases (1 January 1960 to 1 January 2019). We critically appraised studies using eight criteria adapted from the What Works Clearinghouse Standards for regression discontinuity designs. We conducted a narrative synthesis, analyzing the forcing variables and threshold rules used in each study.ResultsThe literature search retrieved 7658 records, producing 325 studies that met the inclusion criteria. A broad range of health topics was represented. The forcing variables used to implement the design were age, socioeconomic measures, date or time of exposure or implementation, environmental measures such as air quality, geographic location, and clinical measures that act as a threshold for treatment. Twelve percent of the studies fully met the eight quality appraisal criteria. Fifteen percent of studies reported a prespecified primary outcome or study protocol.ConclusionsThis systematic review demonstrates that regression discontinuity designs have been widely applied in health research and could be used more widely still. Shortcomings in study quality and reporting suggest that the potential benefits of this method have not yet been fully realized.
| S-EPMC7707156 | biostudies-literature
Project description:In many medical and scientific settings, the choice of treatment or intervention may be determined by a covariate threshold. For example, elderly men may receive more thorough diagnosis if their prostate-specific antigen (PSA) level is high. In these cases, the causal treatment effect is often of great interest, especially when there is a lack of evidence from randomized clinical trials. From the social science literature, a class of methods known as regression discontinuity (RD) designs can be used to estimate the treatment effect in this situation. Under certain assumptions, such an estimand enjoys a causal interpretation. We show how to estimate causal effects under the regression discontinuity design for censored data. The proposed estimation procedure employs a class of censoring unbiased transformations that includes inverse probability censored weighting and doubly robust transformation schemes. Simulation studies are used to evaluate the finite-sample properties of the proposed estimator. We also illustrate the proposed method by evaluating the causal effect of PSA-dependent screening strategies.
| S-EPMC9221554 | biostudies-literature
Project description:Cluster analysis can complement and extend the information learned through epidemiological analysis. The aim of this study was to determine the relative merits of these two data analysis methods for describing the multidimensional health literacy strengths and challenges in a resource poor rural community in northern India. A cross-sectional survey (N = 510) using the Health Literacy Questionnaire (HLQ) was undertaken. Descriptive epidemiology included mean scores and effect sizes among sociodemographic characteristics. Cluster analysis was based on the nine HLQ scales to determine different health literacy profiles within the population. Participants reported highest mean scores for Scale 4. Social support for health (2.88) and Scale 6. Ability to actively engage with healthcare professionals (3.66). Lower scores were reported for Scale 3. Actively managing my health (1.81) and Scale 8. Ability to find good health information (2.65). Younger people (<35 years) had much higher scores than older people (ES >1.0) for social support. Eight clusters were identified. In Cluster A, educated younger men (mean age 27 years) reported higher scores on all scales except one (Scale 1. Feeling understood and supported by a healthcare professional) and were the cluster with the highest number (43%) of new hypertension diagnoses. In contrast, Cluster H also had young participants (mean age 30 years) but with low education (72% illiterate) who scored lowest across all nine scales. While epidemiological analysis provided overall health literacy scores and associations between health literacy and other characteristics, cluster analysis provided nuanced health literacy profiles with the potential to inform development of solutions tailored to the needs of specific population subgroups.
| S-EPMC10022012 | biostudies-literature
Project description:Conditional cash transfers (CCTs) have become important components of social protection policies in Latin America. By establishing coresponsibilities tied to health and education, CCTs may reduce poverty and encourage human capital investment. While CCT programs can have unintended effects on sexual and reproductive health outcomes, such effects have been mixed and poorly documented in South America. This study examines the impact of Ecuador's CCT program, Bono de Desarrollo Humano, on contraceptive behavior among women of childbearing age who are sexually active and do not wish to become pregnant. We analyze nationally representative data in a regression-discontinuity quasi-experimental design. Using an instrumental variable approach and a set of robustness checks, our study finds no significant effects of the CCT program on contraceptive use. Our results offer important considerations for the ongoing policy debate in South America regarding the effects of cash transfer programs on beneficiaries.
| S-EPMC8011311 | biostudies-literature
Project description:BackgroundIn clinical trials, several SARS-CoV-2 vaccines were shown to reduce risk of severe COVID-19 illness. Local, population-level, real-world evidence of vaccine effectiveness is accumulating. We assessed vaccine effectiveness for community-dwelling New York City (NYC) residents using a quasi-experimental, regression discontinuity design, leveraging a period (January 12-March 9, 2021) when ≥ 65-year-olds were vaccine-eligible but younger persons, excluding essential workers, were not.MethodsWe constructed segmented, negative binomial regression models of age-specific COVID-19 hospitalization rates among 45-84-year-old NYC residents during a post-vaccination program implementation period (February 21-April 17, 2021), with a discontinuity at age 65 years. The relationship between age and hospitalization rates in an unvaccinated population was incorporated using a pre-implementation period (December 20, 2020-February 13, 2021). We calculated the rate ratio (RR) and 95% confidence interval (CI) for the interaction between implementation period (pre or post) and age-based eligibility (45-64 or 65-84 years). Analyses were stratified by race/ethnicity and borough of residence. Similar analyses were conducted for COVID-19 deaths.ResultsHospitalization rates among 65-84-year-olds decreased from pre- to post-implementation periods (RR 0.85, 95% CI: 0.74-0.97), controlling for trends among 45-64-year-olds. Accordingly, an estimated 721 (95% CI: 126-1,241) hospitalizations were averted. Residents just above the eligibility threshold (65-66-year-olds) had lower hospitalization rates than those below (63-64-year-olds). Racial/ethnic groups and boroughs with higher vaccine coverage generally experienced greater reductions in RR point estimates. Uncertainty was greater for the decrease in COVID-19 death rates (RR 0.85, 95% CI: 0.66-1.10).ConclusionThe vaccination program in NYC reduced COVID-19 hospitalizations among the initially age-eligible ≥ 65-year-old population by approximately 15% in the first eight weeks. The real-world evidence of vaccine effectiveness makes it more imperative to improve vaccine access and uptake to reduce inequities in COVID-19 outcomes.
| S-EPMC8694652 | biostudies-literature