Average Treatment Effect On The Treated Research Articles

The effectiveness of education assistance programs using AI innovation. Case for tackling school dropout in Morocco

Introduction: since 2008, Morocco’s Tayssir program has been a key public initiative aimed at combating school dropout rates, by offering conditional cash transfers to households with school-aged children, particularly targeting rural communities with high poverty rates. This initiative seeks to ensure equitable access to education, regardless of socioeconomic status, and boosted school attendance rates. Objective: to assess the impact of the Tayssir program on reducing school dropout rates in rural Morocco and to examine the effectiveness of targeting strategies and incentives provided to families. Methods: the study utilized cross-sectional data from the Household Survey Panel Data. Propensity score matching (PSM) techniques were employed to estimate the program’s impact on school dropout rates, comparing beneficiaries with a control group not participating in the program. Various statistical analyses were conducted to explore the characteristics of participants and to validate the logistic model used. Results: the propensity score matching analysis revealed a statistically significant reduction in school dropout rates among beneficiaries of the Tayssir program. The average treatment effect on the treated (ATET) demonstrated a decrease in dropout rates by approximately 43 % using one-to-one matching, 42,7 % with k-nearest neighbor, and 38,6 % via kernel matching methods. Furthermore, no significant gender differences were observed in the program’s impact. Conclusions: the Tayssir program has significantly contributed to reducing school dropout rates in rural Morocco, ensuring better access to education for children from disadvantaged backgrounds. The program’s effectiveness underscores the importance of targeted interventions and conditional cash transfers in promoting educational attainment. Future recommendations include expanding the beneficiary base, refining targeting mechanisms, and establishing a unified social registry to improve program governance.

Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study.

Despite the potential of routine health information systems in tackling persistent maternal deaths stemming from poor service quality at health facilities during and around childbirth, research has demonstrated their suboptimal performance, evident from the incomplete and inaccurate data unfit for practical use. There is a consensus that nonfinancial incentives can enhance health care providers' commitment toward achieving the desired health care quality. However, there is limited evidence regarding the effectiveness of nonfinancial incentives in improving the data quality of institutional birth services in Ethiopia. This study aimed to evaluate the effect of performance-based nonfinancial incentives on the completeness and consistency of data in the individual medical records of women who availed institutional birth services in northwest Ethiopia. We used a quasi-experimental design with a comparator group in the pre-post period, using a sample of 1969 women's medical records. The study was conducted in the "Wegera" and "Tach-armacheho" districts, which served as the intervention and comparator districts, respectively. The intervention comprised a multicomponent nonfinancial incentive, including smartphones, flash disks, power banks, certificates, and scholarships. Personal records of women who gave birth within 6 months before (April to September 2020) and after (February to July 2021) the intervention were included. Three distinct women's birth records were examined: the integrated card, integrated individual folder, and delivery register. The completeness of the data was determined by examining the presence of data elements, whereas the consistency check involved evaluating the agreement of data elements among women's birth records. The average treatment effect on the treated (ATET), with 95% CIs, was computed using a difference-in-differences model. In the intervention district, data completeness in women's personal records was nearly 4 times higher (ATET 3.8, 95% CI 2.2-5.5; P=.02), and consistency was approximately 12 times more likely (ATET 11.6, 95% CI 4.18-19; P=.03) than in the comparator district. This study indicates that performance-based nonfinancial incentives enhance data quality in the personal records of institutional births. Health care planners can adapt these incentives to improve the data quality of comparable medical records, particularly pregnancy-related data within health care facilities. Future research is needed to assess the effectiveness of nonfinancial incentives across diverse contexts to support successful scale-up.

The effects of membership expansion on credit union risk and returns

Between 1996 and 2022, regulatory changes led to over a thousand federally chartered credit unions converting to community charters, significantly increasing credit union membership. This study attempts to determine whether these developments improve safety and soundness by enabling credit unions to diversify their loan portfolios, or whether risk increases as the social capital of a tight common bond becomes diluted. We use two-way fixed effects, doubly robust and generalized synthetic control methods with state chartered credit unions and commercial banks as controls to estimate both intent-to-treat (ITT) and average treatment-effect-on-the-treated (ATT) impacts on credit union risk and returns. We find that conversions to community charter unambiguously improve credit union returns but the effects on risk are mixed: liquidity and capital fall, but there is no change in indicators of asset quality. Overall, during the 25-year period from 1998 to 2022, only 1.47% of community-chartered credit unions failed. The results suggest that social capital is no longer an important factor in reducing credit risk in countries with developed financial sectors like the U.S.

Effects of a physical education intervention on children’s physical activity and fitness: the PROFIT pilot study

BackgroundPhysical education classes are widely accepted as one of the most effective settings for promoting physical activity and health and have often been used to implement physical activity interventions. The aim of this pilot study was to test a physical education intervention program on physical activity levels and physical fitness in a sample of school-age children.MethodsParticipants were a convenience sample of 50 children (34 experimental group and 16 in the comparative group) aged between 6 and 11 years old (Mean = 8.28 years). A 21-week intervention was implemented, consisting of high-intensity and physical fitness-focused exercises, in addition to a once-a-month extra class nutritional education. The following variables were evaluated before and post-intervention: physical fitness, sedentary behavior (SB), light physical activity (LPA), moderate physical activity (MVA), and vigorous physical activity (VPA). Propensity score analyses calculated the average treatment effect on the treated (ATET) within a quasi-experimental framework.ResultsPhysical fitness variables showed improvements after the intervention, specifically for agility (ATET = -0.67 s; p < 0.001), cardiorespiratory fitness (ATET = 89.27 m; p = 0.045), lower limbs power (ATET = 4.47 centimeters; p = 0.025), and speed (ATET = -1.06 s; p < 0.001). For physical activity and SB levels, there were no improvements after intervention implementation.ConclusionThe intervention program showed preliminary effectiveness to improve physical fitness of children, but not SB nor physical activity.

Prehospital Intervention Improves Outcomes for Patients Presenting in Atrial Fibrillation with Rapid Ventricular Response

Objective To compare outcomes of patients presenting to emergency medical services (EMS) with atrial fibrillation with rapid ventricular response (AF-RVR) who did and did not receive prehospital advanced life support (ALS) rate or rhythm control intervention(s). Methods This retrospective cohort study used the 2021 ESO Data Collaborative (Austin, TX) dataset. We identified 9-1-1 scene responses for patients aged 16 to 100 years old presenting with AF and an initial heart rate ≥ 110 beats per minute (bpm). Prehospital ALS interventions for AF-RVR included medications (e.g., calcium channel blockers, beta blockers, etc.) or electrical cardioversion. Outcome measures included prehospital rate control (i.e., final prehospital heart rate < 110 bpm), emergency department (ED) discharge to home, ED and hospital length of stay, and mortality. We also evaluated prehospital adverse events—specifically bradycardia, hypotension, and cardiac arrest. We used propensity score matching to compare outcomes among treated and untreated patients with similar demographic and clinical characteristics. We determined the average treatment effect on the treated (ATET) with 95% confidence intervals (CI) and the number needed to treat (NNT). Results After propensity score matching, prehospital outcomes were available for 4,859 treated patients matched with 4,859 similar untreated patients. Prehospital rate control was more frequent for treated than for untreated patients (41.0% vs. 18.2%, ATET +22.8%, CI: +21.1%; +24.6%, NNT = 5). Hospital outcomes were available for 1,347 treated patients matched with 1,347 similar untreated patients. Treated patients were more likely to be discharged from the ED (37.9% vs. 34.0%, ATET +3.9%, CI: +0.2%; +7.5%, NNT = 26) and less likely to die (4.3% vs. 6.7%, ATET −2.5%, CI: −4.2%; −0.8%, NNT = 40) compared to untreated patients. Hypotension occurred more often in treated patients (ATET +2.6%, CI: +1.5%; +3.7%), but resolved before ED arrival in 73% of affected patients. Otherwise, adverse event rates did not significantly differ for the two groups. Conclusions In this propensity score matched study of patients presenting to EMS with AF-RVR, prehospital ALS interventions were associated with more frequent prehospital rate control, more frequent discharge to home from the ED, and lower mortality.

Metro’s night travel offer on the weekend and its impact on house prices

We examine the impact of introducing a weekend metro night service on housing prices in Frankfurt, Germany. Our identification strategy combines a triple-differences design to estimate the average treatment effect on the treated (ATET). We find both statistically and economically significant ATETs. For housing units located within a 300 m distance of the night service trains, housing value experience an average 22 % increase within a one-year period following the schedule change. This is equivalent to an average increase in home value of EUR 109,835 , or a total value appreciation of the nearby housing stock of more than EUR 32 million. Further, we do not find evidence that the night service trains bring negative externalities, such as noise, for units located within 100 m of train stations.

The Impact of Using Certified Seeds on The Technical Efficiency of Garling Farming In Indonesia

The use of certified seeds can increase productivity and technical efficiency of garlic farming. This study aimed to examine the effect of using certified seeds on the technical efficiency and productivity of garlic farming. This study uses secondary data in the form of cross-sections from the Horticultural Plant Household Survey (SHR, 2014) conducted by the Central Bureau of Statistics (BPS). The number of samples used is the same as the number of SHR 2014 samples. These data were analyzed using stochastic production frontier sample correction (SC-SPF) combined with propensity score matching (PSM) to eliminate observed and unobserved biases. The average treatment effect on the treated (ATET) used to directly calculate the effect of using certified seeds on productivity and technical efficiency. The average productivity of farmers using certified seeds was higher than that of farmers who did not use certified seeds. Meanwhile, the average technical efficiency (ET) of farmers who use certified seeds is lower than that of farmers who do not use certified seeds. This shows that the use of certified seeds has no effect on the technical efficiency of garlic farming. There are two alternative policies that can be taken, the first is advising farmers not to use certified seeds or the second alternative is improving the mechanism for distributing garlic seed assistance and developing the garlic seed industry.

Effect of Health Insurance Uptake on Hesitancy toward COVID-19 Vaccines in Nigeria: A Recursive Bivariate Probit and Decomposition Estimation.

Moral hazard remains one of the major challenges of health insurance administration. This paper recursively analyzed the effect of health insurance on the willingness to take COVID-19 vaccines in Nigeria. The data comprised 1892 unvaccinated respondents in the 2021/2022 National Longitudinal Phone Survey (NLPS). The data were analyzed with Coban's recursive probit regression and decomposition approaches. The results revealed that 5.87% were health insured, and 7.93% were willing to take COVID-19 vaccines. Health insurance uptake significantly increased (p < 0.05) with an adult being the decision-maker on vaccination, requiring family planning, and urban residence, while it reduced with loss of jobs and residence in the southeast and southwest zones. In addition, health insurance significantly (p < 0.01) increased the willingness to take COVID-19 vaccines, along with each adult, all adults, and households' heads being the major vaccination decision-makers, loss of jobs, and support for making COVID-19 vaccines compulsory. The average treatment effects (ATEs) and average treatment effect on the treated (ATET) of health insurance were significant (p < 0.01), with positive impacts on willingness to be vaccinated. It was concluded that policy reforms to promote access to health insurance would enhance COVID-19 vaccination in Nigeria. In addition, hesitancy toward COVID-19 vaccines can be reduced by targeting adults and household heads with adequate information, while health insurance uptake should target southern states and rural areas.

Effects of vildagliptin on wound healing and markers of inflammation in patients with type 2 diabetic foot ulcer: a prospective, randomized, double-blind, placebo-controlled, single-center study

IntroductionDiabetic foot ulcers (DFU) are one of the leading long-term complications experienced by patients with diabetes. Dipeptidyl Peptidase 4 inhibitors (DPP4is) are a class of antihyperglycemic medications prescribed to patients with diabetes to manage glycaemic control. DPP4is may also have a beneficial effect on DFU healing. This study aimed to determine vildagliptin's effect on inflammatory markers and wound healing.Trial designProspective, randomized, double-blind, placebo-controlled, single-center study.MethodsEqual number of participants were randomized into the treatment and placebo groups. The treatment was for 12 weeks, during which the participants had regular visits to the podiatrist, who monitored their DFU sizes using 3D camera, and blood samples were taken at baseline, six weeks, and 12 weeks during the study for measurement of inflammatory markers. In addition, demographic characteristics, co-morbidities, DFU risk factors, and DFU wound parameters were recorded.Results50 participants were recruited for the study, with 25 assigned to placebo and 25 to treatment group. Vildagliptin treatment resulted in a statistically significant reduction of HBA1c (p < 0.02) and hematocrit (p < 0.04), total cholesterol (p < 0.02), LDL cholesterol (p < 0.04), and total/HDL cholesterol ratio (P < 0.03) compared to the placebo group. Also, vildagliptin had a protective effect on DFU wound healing, evidenced by the odds ratio (OR) favoring the intervention of 11.2 (95% CI 1.1–113.5; p < 0.04) and the average treatment effect on the treated (ATET) for vildagliptin treatment group showed increased healing by 35% (95%CI; 10–60, p = 0.01) compared to placebo with the model adjusted for microvascular complications, smoking, amputation, dyslipidemia, peripheral vascular disease (PVD) and duration of diabetes.ConclusionsVildagliptin treatment was effective in healing DFU in addition to controlling the diabetes. Our findings support the use of DPP4is as a preferred option for treating ulcers in patients with diabetes. Further studies on a larger population are warranted to confirm our findings and understand how DPP4is could affect inflammation and DFU healing.

Estimating the Health Effect of Cigarette Smoking Duration in South Africa.

This paper deepens the empirical analysis of the health effects of smoking by using the average treatment effect on the treated (ATET) and regression discontinuity design (RDD) to estimate the impact of smoking duration on health. The paper estimates the effect of cigarette smoking on health, that is, the exogenous increase in the probability of smoking-related ill health when individuals smoke up to a certain number of years. Using the National Income Dynamic survey (NIDS), the study finds that the probability of reporting poor health and/or suffering smoking-related diseases increases with the years of smoking. The magnitude of the effect is higher when smoking-related diseases rather than self-assessed health is considered but varies across time, socioeconomic status, and with different health outcomes. The effects are robust under several different parametric and non-parametric models. Using RDD, the paper also finds evidence of a discrete jump in poor health when individuals smoke up to 30 years. The results suggest that policies that are designed to reduce current levels of cigarette smoking may have a desirable impact and can create both current and future public health benefits.

Cost-of-care analysis between patients with cancer with COVID-19 utilizing a remote patient-monitoring program versus usual care.

26 Background: We previously demonstrated that utilization of a Remote Patient Monitoring (RPM) program – characterized by the use of in-home technology for symptom and vital signs assessments with a centralized care team responding to alerts – is associated with a significant reduction in 30-day hospitalization rate among cancer patients with COVID-19. We have subsequently performed a 90-day comparative cost-of-care analysis in this prospectively enrolled, validated cohort of 71 patients who received RPM and 116 patients who received usual care without RPM. Methods: Primary outcomes included 90-day all-cause costs (categorized as hospital and outpatient costs) following the index date (date of COVID-19 diagnosis). Differences in patient characteristics and baseline costs (incurred 90 days prior to index date) were determined using Standardized Differences and controlled for using Inverse Probability Weighting (IPW). IPW balancing was based on baseline covariates known to be associated with poorer COVID-19 outcomes, as previously described. Association of costs with RPM was examined by generalized linear modeling while adjusting for relevant variables. Outcomes are reported as the average treatment effect on the treated (ATET). Results: Differences in patient characteristics and baseline costs were well-balanced following IPW modeling. The index ATET was found to be comparable among patients receiving RPM and usual care on the date of COVID-19 diagnosis -$89.75 (95% CI: -$144.33 to $323.84; p = 0.452). However, patients receiving RPM experienced a 90-day ATET of -$6,994 (95% CI: -$14,635 to $646; p = 0.073) when compared with patients receiving usual care. Conclusions: There was a trend towards decreased 90-day all-cause costs for cancer patients with COVID-19 who utilized the RPM program as compared with usual care. Larger studies are needed to understand the true cost (and cost savings) associated with this innovative model of care delivery which can be leveraged for cancer care beyond COVID-19.

Assessing the adoption rates of improved technology in traditional poultry farming: Evidence from rural Togo

The adoption of improved agricultural technologies is known to significantly improve incomes, create more wealth, alleviate poverty and contribute to rural development in many developing countries. The Government of Togo, through the National Programme for Agricultural Investment and Food Security (PNIASAN) and the Agricultural Sector Support Project (PASA), and with financial support from the World Bank and help from the Food and Agriculture Organization of the United Nations (FAO), provides assistance to smallholder farmers in improved technology adoption in traditional poultry farming (ITTPF) for wealth creation, food security and poverty alleviation. However, for any technology or emerging agricultural practices, awareness and exposure are necessary conditions for their adoption. And because these two factors are not distributed randomly in the population of potential adopters, not taking them into account will lead to estimates of population adoption rates that are not informative of the true demand for the technology, and to inconsistent estimates of the parameters of the adoption model. In this study, we evaluate the adoption rates of ITTPF among farmers in Togo. Data was collected from 400 farmers in 2014, prior to the introduction of ITTPF, and again five years later. This data was then analysed using inverse propensity score weighting and parametric estimation of adoption regression models. The results of the estimates indicate that the average treatment effect (𝐴𝑇𝐸), which represents the mean potential adoption rate of the population, is 57%, the average treatment effect on the treated (𝐴𝑇𝐸𝑇), which represents the mean potential adoption rate in the exposed subpopulation, is 60%, the population mean joint exposure and adoption rate (𝐽𝐸𝐴) is 13%, and the population selection bias (𝑃𝑆𝐵) is 3%. The sample adoption rate (𝐽𝐸𝐴) implies a population adoption gap of -47% due to a lack of exposure and adoption by a sufficient size of the population. The 𝑃𝑆𝐵 is insignificant and indicates that all the sampled farmers had an almost equal opportunity of adopting ITTPF. The study reveals that the sample adoption rate does not consistently estimate the true population adoption rate. Hence, controlling for non-exposure and selection biases is a perquisite to acquiring consistent estimates of ITTPF adoption rates. The findings indicate a relatively high supply-demand gap for ITTPF that justifies investment in its further dissemination and adoption in Togo for optimal positive impact on potential outcomes and the welfare of farmers.

Agricultural credit and productivity of crops in India: field evidence from small and marginal farmers across social groups

PurposeThis work examines the impact of institutional agricultural credit on crop productivity of some major crops such as paddy, cotton, wheat and pulses for small and marginal farmers across various social groups.Design/methodology/approachThe cross-sectional field data on socio economic variables was collected from three Indian states from about 400 small and marginal farmers across various social groups using multi-stage stratified random and purposive sampling through a structured questionnaire by interviewing. The method of propensity score matching (PSM) was employed to calculate average treatment effect (ATE) and average treatment effect on the treated (ATET) by categorising sample farmers as treatment group and control group where crop productivity was considered as outcome variable and access to institutional credit was considered as treatment variable.FindingsThe PSM estimates reveal that ATE and ATET for all the selected crops are found to be significantly higher for the treated group vis-à-vis non-treated group suggesting that institutional agricultural credit has a statistically and significant positive impact on the crop productivity.Research limitations/implicationsSimilar study can be extended for more crops and across regions in India for a universal coverage.Originality/valueThe agricultural credit policy of India has been to increase the access and availability of institutional farm credit. This has led to in general increase in the flow of formal farm credit to agricultural sector. However, the impact of institutional credit and crop productivity especially for small and marginal farmers across social groups is not well recognized in India using field data. Accordingly, this field data study contributes to the existing research by providing fresh evidence from field across social groups for both kharif and rabi crops using recent survey data from small and marginal farmers which has important policy implications.

처치집단에 대한 평균 처치 효과의 준모수적 추정

In this study, Abadie(2005)’s semiparametric difference-in-difference(DID) and propensity score matching DID methods are implemented to estimate the average treatment effect on the treated(ATET) of the Anti-Graft Act on the expenditure on congratulations and condolences(ECC). Both approaches are semiparametric since they do not require a specific functional form specification of the outcome variable. By following Abadie(2005), the ATET can be estimated by using observed outcomes at before and after policy intervention, treatment indicator and propensity score of all observations. On the other hand, the propensity score matching DID is a very intuitive method to estimate ATET since it can find a counterfactual control for each treated unit. Abadie’s semiparametric DID estimate is -0.06 while the propensity score matching estimate is -0.12. However, the statistical significance is found only in the latter estimation result. It implies that the treatment group are expected to reduce the expenditure on congratulations and condolences by 12.8 percent less than the control group if the control group would be exposed to the treatment.

Does access to agricultural credit help disaster-affected farming households to invest more on agricultural input?

PurposeNatural calamities impair agricultural households' ability to invest in their farms. Facilitating access to agricultural credit may assist farmers in the face of negative revenue shocks. The aim of this study is to investigate the impact of agricultural credit on the agricultural input expenditure of disaster-affected farmers in Bangladesh.Design/methodology/approachThe study utilizes data on 2,519 disaster-affected farming households from Bangladesh's Household Income and Expenditure Study (HIES) 2016–2017, which employs a nationwide representative five-year interval survey. Further, propensity score matching (PSM) identification strategy is used to estimate the average treatment effect on the treated (ATET), and Mahalanobis distance matching (MDM) is used for the robustness test. In addition, heterogeneous analysis has been conducted to explore the impact of agricultural credit on different types of farming households.FindingsThe findings reveal that access to agricultural credit has a favorable and significant effect on farm input expenditure for disaster-affected farmers. Therefore, agricultural credit accessibility could be utilized as a policy tool to assist disaster-affected farmers in improving their investment capacity, and hence, agricultural output.Originality/valueThis study, using a quasi-experimental design of access to agricultural credit on agricultural input expenditures of the disaster-affected farming households in coastal areas of Bangladesh to estimate the causal effect.

Optimizing healthcare utilization in atrial fibrillation complicated by cancer

Abstract Funding Acknowledgements Type of funding sources: None. Background Previous studies have shown that atrial fibrillation is a significant cause of healthcare utilization and readmissions. Cancer is also an extenuating burden and has been shown to complicate management strategies, inducing higher utilization.1 We aimed to discover the impact of atrial fibrillation in the setting of non-metastatic cancer and managements which optimize healthcare consumption. Methods We queried the 2016-2018 National Readmission Database (NRD) for adults with a primary atrial fibrillation diagnosis and a secondary non-metastatic cancer diagnosis using ICD-10-CM codes and the Elixhauser Comorbidity Software. Patients were included if the admission was between January and November. Patients were excluded if the index admission was in December (to allow for 30-day readmissions), included cardiac arrest, cardiogenic shock, or they previously had a cardiac pacemaker inserted. Survey weighting methodology was used in accordance with NRD best practices. Propensity score matching was implemented to assess the average treatment effect on the treated (ATET) using a percutaneous loop recorder. Patients were matched on socioeconomic and hospital characteristics, in-hospital medical or procedural complications, and comorbidities. Results From 2016-2018, 21,922 patients met the inclusion criteria for index admissions. The average index admission age was 74.7 years, and 47.3% were female. Length of stay for index admissions was not significantly different between the two groups (4.33 days versus 4.90 days; p = 0.496). In-hospital mortality occurred in 1.65% of admissions, none of which had undergone insertion of a loop recorder. Overall, 18.8% of index admissions were readmitted within 30-days. The readmission rate for patients receiving a loop recorder was 5.5%, compared to 18.9% in the control group. Propensity score matching revealed a 70.2% reduction in 30-day readmissions (OR, 0.099 to 0.907; p = 0.033) for patients discharged with a loop recorder. Patients with a loop recorder have no significant difference in length of stay (5.72 days versus 5.79 days; p = 0.944) when readmitted. Conclusions Patients admitted for atrial fibrillation complicated by cancer had significantly lower readmission rates when discharged with a loop recorder. This phenomenon may be related to the increased ambulatory monitoring and early intervention ability. In the absence of increased length of stays or in-patient mortality, the decrease in healthcare utilization may be of significant benefit. The mechanisms involving factors between atrial fibrillation and cancer are yet to be understood.2,3 Further studies are needed to confirm these findings and evaluate the mechanism by which readmission rates are decreased.

Community intervention programs prolong the onset of functional disability among older Japanese.

AimThis study examined the effects of a “community‐based center” intervention to prevent the onset of functional disability among residents in disaster‐affected areas.MethodsWe used data from a prospective cohort study conducted from 2010 to 2016 in Iwanuma City, Japan. Participants were community‐dwelling independent adults aged ≥65 years. The exposure variable was the experience of using a community‐based center. The outcome variable was functional disability onset. The average treatment effect on the treated (ATET) was estimated by adjusting for possible confounders. Additional analysis stratified by sex was conducted considering the sex differences in social participation rates.ResultsAmong 3794 participants (mean ± SD age = 72.9 ±5.3 years, 46.0% men), 196 (5.2%) used the community‐based center, and 849 (22.4%) exhibited disability onset. Of those with functional disabilities, 40 (20.4%) used the community‐based center, while 809 (22.5%) did not. The ATET for functional disability onset with community‐based center activities across all participants were not significant (ATET: 0.51 years [95% confidence interval [CI] = −0.23; 1.27]). However, the direction of the effect of community‐based center activities differed by sex (ATET: −0.14, 95% CI = −2.59; 2.31 for men [n = 18], and 0.66, 95% CI = 0.18; 1.16 for women [n = 178]). Women exhibited a 15.63% (95% CI = 3.58; 27.68) increase in the time until functional disability onset.ConclusionsThe use of community‐based centers was associated with a longer period without functional disability in women. Geriatr Gerontol Int 2022; 22: 465–470.

Do organic fertilizer impact on yield and efficiency of rice farms? Empirical evidence from Bangladesh

Organic fertilizer is one of the critical elements of organic and sustainable agricultural development. This study analyzes the economic impact of organic fertilizer on rice farms' yield and technical efficiency (TE) in Bangladesh. The Stochastic Production Frontier (SPF) approach has been employed by using a sample of 2652 rice plots covering seven broad agro-ecological zones of Bangladesh. It also addresses self-selection into the organic fertilizer choice using propensity score matching (PSM) that corrects observed selection bias that potentially influences both decisions to choose and technical efficiency. After PSM, organic fertilizer users produce 16.67% higher yield by using 12.1%, 9.40%, and 42.1% less labor, other inputs, and farm capital for rice production. The organic fertilizer users are significantly 3.79% more efficient than non-user, suggesting organic fertilizer substantially contributes to enhancing the technical efficiency of rice in Bangladesh. Moreover, the average treatment effect on the treated (ATETs) in different matching is positively significant and confirms the positive impact of organic fertilizer on rice farming. Government and non-government organizations should encourage farmers to extensively use organic fertilizer for better production through soil health development and reduce the pressure of chemical fertilizer import and use.

The Prognostic Value of Left Atrial Reservoir Functional Indices Measured by Three-Dimensional Speckle-Tracking Echocardiography for Major Cardiovascular Events

Left atrial (LA) volume and left ventricular longitudinal strain (LVLS) have significant prognostic values for major cardiovascular events (MACEs). Prognostic values of LA reservoir functional indices measured by 3-dimensional (3D) speckle-tracking echocardiography (STE) were evaluated.Methods and Results:A total of 264 patients, who underwent 2-dimensional (2D) echocardiography and 3DSTE for various underlying heart diseases, were followed up to record MACE. After a mean follow up of 547±435 days, 30 patients developed MACE: 7 cardiac deaths, 6 strokes, 1 non-fatal myocardial infarction, and 22 admissions for heart failure (5 of these had cardiac death after discharge, whereas 1 sustained stroke after discharge). Receiver operating characteristic curve analysis was performed to determine the optimal cut-off levels of 4 LA functional indices: LA emptying fraction (LAEmpF), LA longitudinal strain (LALS), LA circumferential strain (LACS), and LA area change ratio (LAAC), using 3DSTE. Among these factors, 2DLVLS, 3DLAEmpF, and 3DLALS demonstrated a higher hazard ratio (>5.0) than other variables. The 3DLAEmpF and 3DLALS had a higher average treatment effect (ATE) and ATE on the treated (ATT), respectively, than the other indices after propensity score matching. Addition of 3DLAEmpF to the base model using clinical variables and LV ejection fraction or 2DLVLS demonstrated higher prognostic power.LAEmpF calculated using 3DSTE possessed additive prognostic values for the prediction of MACE.

Analysis of Working Capital Sources on Firm Innovation, and Labor Productivity among Manufacturing Firms in DR Congo

This study identifies the relevant sources of firm working capital and examines their interrelationship with innovation activities and labor productivity among 529 manufacturing firms in DR Congo using the 2013 Enterprise Survey Database. We identify external funding sources as the most crucial funding source for innovation activities among manufacturing firms in DR Congo. We further establish a transmission mechanism of firm innovation through the availability of an active line of credit on firm productivity. Productive firms rely mainly on external funding for their innovation activities. We also show by the technique of propensity score matching, that the Average Treatment Effect (ATE) of R&D spending is positive and statistically significant at 5%. R&D spending impacts labour productivity by nearly 53% higher for firms with R&D spending in the last three (3) years than their counterparts. Similarly, the Average Treatment Effect on the Treated (ATET) is positive and statistically significant at 5%. We report an overwhelming 112% positive effect of R&D spending in the last three (3) years on firm productivity for the treatment group. Further analysis of the business environment shows that the absence of adequately educated labor force, obstacles associated with access to land, illegal activities of competitors, political instability, corruption, and obstacles encountered by firms from the courts and legal systems negatively affects firm productivity. Our key policy recommendation includes: 1) the need for an immediate robust and efficient financial market to channel funding to manufacturing firms, and 2) firm innovation should be the underlying factor in capital allocation.