scholarly journals The Impact of a Community Based Rehabilitation Program in Afghanistan: A Longitudinal Analysis Using Propensity Score Matching and Difference in Difference Analysis

2020 ◽  
Author(s):  
Jean-Francois Trani ◽  
Juanita Vasquez-Escallon ◽  
Parul Bakhshi
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Longitudinal Analysis ◽  
Rehabilitation Program ◽  
Difference In Difference ◽  
Community Based ◽  
Difference Analysis ◽  
Community Based Rehabilitation ◽  
The Impact

scholarly journals The impact of a Community Based Rehabilitation Program in Afghanistan: A longitudinal analysis using propensity score matching and difference in difference analysis

2020 ◽  
Author(s):  
Jean-Francois Trani ◽  
Juanita Vasquez-Escallon ◽  
Parul Bakhshi
Keyword(s):  
Propensity Score ◽  
Activities Of Daily Living ◽  
Propensity Score Matching ◽  
Daily Living ◽  
Well Being ◽  
Community Based ◽  
Persons With Disabilities ◽  
Difference Analysis ◽  
Community Based Rehabilitation ◽  
The Impact

Abstract Background. The 2006 United Nations Convention on the Rights of Persons with Disabilities states that the achievement of equal rights, empowerment and social inclusion of people with disabilities requires comprehensive rehabilitation services encompassing all components of the World Health Organization Community based rehabilitation (CBR) matrix: health, education, livelihood, social and empowerment. CBR programs specifically aim to deliver such comprehensive interventions. In the present study, we investigate the impact of a CBR program in Afghanistan on all these components. Methods. We enrolled 1861 newly recruited CBR participants with disabilities in the study, from 169 villages between July 2012 and December 2013 as well as 1132 controls with disabilities randomly selected through a two-stage process within 6000 households from 100 villages in the same provinces but outside the catchment area of the CBR program. We interviewed them again after one (midline) and two (end-line) years in the study. Using propensity score matching and difference in difference analysis, we estimated the impact of the CBR on outcomes of interest, namely mobility, activities of daily living, communication, participation in social and community life, emotional well-being and employment.Results. There were statistically significant differences between participants and controls on all outcomes between baseline and end-line, with impacts ranging from the highest on emotional wellbeing (1.02, 95%CI 0.04-2.00) and the lowest on activities of daily living (0.08, CI 0.03-0.13).Conclusion. Our study indicates that a CBR program may provide positive rehabilitation outcomes for persons with disabilities even in a conflict context, and improve overall well-being of all participants with disabilities, whatever their impairment, individual characteristics and the CBR matrix components considered. Trial registration. ISRCTN, ISRCTN50214054. Registered August 5th 2020 - retrospectively registered, http://www.isrctn.com/ISRCTN50214054

scholarly journals Can propensity score matching be applied to cross-sectional data to evaluate Community-Based Rehabilitation? Results of a survey implementing the WHO’s Community-Based Rehabilitation indicators in Vietnam

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e022544 ◽  
Author(s):  
Catherine Mason ◽  
Carla Sabariego ◽  
Đoàn Mạnh Thắng ◽  
Jörg Weber
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
International Comparisons ◽  
Cross Sectional Survey ◽  
Community Based ◽  
Cross Sectional ◽  
Community Inclusion ◽  
Community Based Rehabilitation ◽  
Government Records ◽  
Approach Working

ObjectivesCommunity-Based Rehabilitation (CBR) is a multi-sectoral approach working to equalise opportunities and include people with disabilities in all aspects of life. The complexity of CBR and often limited resources lead to challenges when attempting to quantify its effectiveness, with randomisation and longitudinal data rarely possible. Statistical methods, such as propensity score matching (PSM), offer an alternative approach to evaluate a treatment when randomisation is not feasible. The aim of this study is to examine whether PSM can be an effective method to facilitate evaluations of results in CBR when data are cross-sectional.DesignCross-sectional survey.Setting and participantsData were collected using the WHO’s CBR Indicators in Vietnam, with treatment assignment (participating in CBR or not) determined by province of residence. 298 participants were selected through government records.ResultsPSM was conducted using one-to-one nearest neighbour method on 10 covariates. In the unmatched sample, significant differences between groups were found for six of the 10 covariates. PSM successfully adjusted for bias in all covariates in the matched sample (74 matched pairs). A paired t-test compared the outcome of ‘community inclusion’ (a score based on selected indicators) between CBR and non-CBR participants for both the matched and unmatched samples, with CBR participants found to have significantly worse community inclusion scores (mean=17.86, SD=6.30, 95% CI 16.45 to 19.32) than non-CBR participants (mean=20.93, SD=6.16, 95% CI 19.50 to 22.35); t(73)=3.068, p=0.001. This result did not differ between the matched and unmatched samples.ConclusionPSM successfully reduced bias between groups, though its application did not affect the tested outcome. PSM should be considered when analysing cross-sectional CBR data, especially for international comparisons where differences between populations may be greater.

An empirical analysis of the effect of crop insurance on farmers’ income: results from Inner Mongolia in China

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Yuan feng Zhao ◽  
Zhihui Chai ◽  
Michael S Delgado ◽  
Paul V Preckel
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Inner Mongolia ◽  
Design Methodology ◽  
Crop Insurance ◽  
Farm Household ◽  
Difference In Difference ◽  
Farmer Income ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to assess the effect of crop insurance on farmer income in Inner Mongolia, China Design/methodology/approach We use a survey of farmers in Inner Mongolia, China, with difference-in-difference, propensity score matching, and hybrid propensity score matching difference-in-difference treatment effect estimators to assess the effectiveness of crop insurance on farmer income. Findings The empirical results show that crop insurance does not significantly affect farmer income under the current policy of “low-premium, wide-coverage, low-guarantee and low-indemnity.” Research limitations/implications A possible limitation of this study is that the data includes only one geographic area, Inner Mongolia, China, and so results may not generalize to other regions of China. Practical implications This research provides empirical estimates of the impact of crop insurance on farm household income. Given the results, we speculate that a number of specific changes to the crop insurance program might increase its positive impacts. Originality/value We believe this is the first study to use individual farm household level survey data to evaluate the impact of crop insurance on farmer income in China.

scholarly journals Impact of Multidisciplinary Stroke Post-Acute Care on Cost and Functional Status: A Prospective Study Based on Propensity Score Matching

2021 ◽  
Vol 11 (2) ◽  
pp. 161
Author(s):  
Chong-Chi Chiu ◽  
Jhi-Joung Wang ◽  
Chao-Ming Hung ◽  
Hsiu-Fen Lin ◽  
Hong-Hsi Hsien ◽  
...  
Keyword(s):  
Propensity Score ◽  
Functional Status ◽  
Propensity Score Matching ◽  
Acute Care ◽  
Medical Cost ◽  
Economic Burden ◽  
Stroke Rehabilitation ◽  
Stroke Patients ◽  
The Impact ◽  
Post Acute Care

Few papers discuss how the economic burden of patients with stroke receiving rehabilitation courses is related to post-acute care (PAC) programs. This is the first study to explore the economic burden of stroke patients receiving PAC rehabilitation and to evaluate the impact of multidisciplinary PAC programs on cost and functional status simultaneously. A total of 910 patients with stroke between March 2014 and October 2018 were separated into a PAC group (at two medical centers) and a non-PAC group (at three regional hospitals and one district hospital) by using propensity score matching (1:1). A cost–illness approach was employed to identify the cost categories for analysis in this study according to various perspectives. Total direct medical cost in the per-diem-based PAC cohort was statistically lower than that in the fee-for-service-based non-PAC cohort (p < 0.001) and annual per-patient economic burden of stroke patients receiving PAC rehabilitation is approximately US $354.3 million (in 2019, NT $30.5 = US $1). Additionally, the PAC cohort had statistical improvement in functional status vis-à-vis the non-PAC cohort and total score of each functional status before rehabilitation and was also statistically significant with its total score after one-year rehabilitation training (p < 0.001). Early stroke rehabilitation is important for restoring health, confidence, and safe-care abilities in these patients. Compared to the current stroke rehabilitation system, PAC rehabilitation shortened the waiting time for transfer to the rehabilitation ward and it was indicated as an efficient policy for treatment of stroke in saving medical cost and improving functional status.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

scholarly journals Impact of community-based health insurance on utilisation of preventive health services in rural Uganda: a propensity score matching approach

2021 ◽  
Author(s):  
Emmanuel Nshakira-Rukundo ◽  
Essa Chanie Mussa ◽  
Nathan Nshakira ◽  
Nicolas Gerber ◽  
Joachim von Braun
Keyword(s):  
Developing Countries ◽  
Health Insurance ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Information Diffusion ◽  
Preventive Health ◽  
Financial Protection ◽  
Community Based ◽  
Research Attention ◽  
Community Based Health Insurance

AbstractThe effect of voluntary health insurance on preventive health has received limited research attention in developing countries, even when they suffer immensely from easily preventable illnesses. This paper surveys households in rural south-western Uganda, which are geographically serviced by a voluntary Community-based health insurance scheme, and applied propensity score matching to assess the effect of enrolment on using mosquito nets and deworming under-five children. We find that enrolment in the scheme increased the probability of using a mosquito net by 26% and deworming by 18%. We postulate that these findings are partly mediated by information diffusion and social networks, financial protection, which gives households the capacity to save and use service more, especially curative services that are delivered alongside preventive services. This paper provides more insight into the broader effects of health insurance in developing countries, beyond financial protection and utilisation of hospital-based services.

Was it worth it? The impact of the German minimum wage on union membership of employees

2021 ◽  
pp. 0143831X2110358
Author(s):  
Simon Ress ◽  
Florian Spohr
Keyword(s):  
Propensity Score ◽  
Social Security ◽  
Labour Market ◽  
Propensity Score Matching ◽  
Minimum Wage ◽  
Trade Union ◽  
Union Membership ◽  
Difference In Differences ◽  
German Trade ◽  
The Impact

This contribution scrutinises how introducing a statutory minimum wage of EUR 8.50 per hour, in January 2015, impacted German employees’ decision with regard to union membership. Based on representative data from the Labour Market and Social Security panel, the study applies a logistic difference-in-differences propensity score matching approach on entries into and withdrawals from unions in the German Trade Union Confederation (Deutscher Gewerkschaftsbund, DGB). The results show no separate effect on withdrawals from or entries into unions after the minimum wage introduction for those employees who benefited financially from it, but a significant increase of entries overall. Thus, unions’ campaign for a minimum wage strengthened their position in total but did not reverse the segmentation of union membership patterns.

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