The impact of employment transitions on health in Germany. A difference-in-differences propensity score matching approach

Gebel, Michael; Voßemer, Jonas

doi:10.1016/j.socscimed.2014.02.039

Cited by 119 publications

(93 citation statements)

References 36 publications

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“…The DID analysis includes the weights derived from the kernel-based propensity score matching [37–40]. We performed a balancing test of the difference in the means of the covariates between the control and treated groups in the baseline period to test whether the parallel trends in the baseline period was satisfied, as this is one of the key assumptions of a DID methodology.…”

Section: Methodsmentioning

confidence: 99%

Effect of continuity of care on health-related quality of life in adult patients with hypertension: a cohort study in China

Sun

Tang

et al. 2016

BMC Health Serv Res

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BackgroundContinuity of care is widely considered a principle of primary care that decreases healthcare utilization and mortality. However, the effect of continuity of care on health-related quality of life (HRQoL) for adult patients with hypertension remains unclear.MethodsTo further evaluate the effect of continuity of care, we implemented a cohort study among hypertensive patients aged over 35 years (n = 1200) in six townships in Qianjiang District, Chongqing, China, between 2012 and 2014. The study ultimately included 1079 participants. The continuity of care index was calculated using claim-based longitudinal data obtained from hypertension follow-up service records. The baseline and endline survey-based data, tested by the SF-36 scale, were used to assess HRQoL. To control selection bias and examine the effect of continuity of care, a kernel-based propensity score matching difference-in-differences (DID) method was used. Additionally, descriptive statistics, chi-squared test, and Mann–Whitney nonparametric test were used to summarize characteristics, evaluate proportional differences, and analyze statistical differences, respectively.ResultsOur results showed that patients in the high continuity of care group presented greater improvement in both Physical Component Summary (PCS, DID = 5.192 ± 1.970, p < 0.001) and Mental Component Summary (MCS, DID = 7.900 ± 1.815, p = 0.008) than those in the low continuity of care group. Moreover, patients in the high continuity of care group showed significant improvement in physical functioning, role-physical, general health, role-emotional, and mental health.ConclusionsOur findings indicate that a long-term physician-patient relationship may improve HRQoL in patients with hypertension. However, more unified measurement tools are needed to evaluate continuity of care. Further studies should include more study settings.

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Section: Methodsmentioning

confidence: 99%

Effect of continuity of care on health-related quality of life in adult patients with hypertension: a cohort study in China

Sun

Tang

et al. 2016

BMC Health Serv Res

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“…This strategy allowed the treatment and control groups to be balanced with respect to the observed characteristics. This improved the plausibility of the common trend assumption (Gebel and Voßemer 2014). Covariate balance between the treatment and control groups was observed using both standardized differences and percentage bias reduction (Austin 2011a; Gebel and Voßemer 2014).…”

Section: Methodsmentioning

confidence: 82%

“…The question about activity limitations owing to health problems was therefore introduced. It should be inferred that, following the reasoning of Lechner (2010) and further applied by Gebel and Voßemer (2014), conditioning was not on the pre-treatment outcome itself, as this could introduce a correlation with the treatment and, thus, violate the common trend assumption.…”

Section: Methodsmentioning

confidence: 99%

“…These variables were measured before treatment—the exchange rate shock—in order to avoid endogeneity issues (Gebel and Voßemer 2014). Specifically, sociodemographic variables were controlled for, i.e., gender, age, place of residence (rural areas, small towns and cities) and type of household (childless marriage, marriage with children, one-parent family and others).…”

Section: Methodsmentioning

confidence: 99%

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What Does a Swiss Franc Mortgage Cost? The Tale of Polish Trust for Foreign Currency Denominated Mortgages: Implications for Well-Being and Health

Białowolski

Węziak‐Białowolska

2016

Soc Indic Res

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It is commonly agreed that excessive household financial debts are detrimental to psychological and physical health. Research also demonstrates that housing instability, mortgage indebtedness and mortgage foreclosure negatively influence subjective well-being. In Poland at the beginning of 2015, homeowners with Swiss franc denominated mortgages suffered from an abrupt swing in the Swiss franc/Polish zloty (CHF/PLN) exchange rate, which resulted in considerable increase in the local currency value of their mortgages. These adverse financial circumstances were hypothesised to affect not only household finance but also negatively affect the psychological well-being and physical health of peoples. The 2013 and 2015 waves of the Polish representative household panel ‘Social Diagnosis’ were used to examine impact of the abrupt change in the CHF/PLN exchange rate in Jan. 2015 on well-being and health. Causal inference was investigated using a difference-in-differences matching estimator. Results showed that although impact of Swiss franc appreciation on the mortgage related financial burden was considerable, it did not affect well-being or health outcomes. Any manifestation of adverse effects was absent in the short term, which does not however preclude their long term existence.

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“…In the large domain of causality analysis, further advancements have to be developed to robustly examine macrolevel causation (Babones, 2008), whereas the panel-based difference-indifferences propensity score matching approach offers a relevant tool to detect microlevel causation (Gebel and Voßemer, 2014). In the large domain of causality analysis, further advancements have to be developed to robustly examine macrolevel causation (Babones, 2008), whereas the panel-based difference-indifferences propensity score matching approach offers a relevant tool to detect microlevel causation (Gebel and Voßemer, 2014).…”

Section: Perspectives On Methodology Social Policy and Translation mentioning

confidence: 99%

Social Epidemiology

Chauvel¹,

Leist²

2015

International Encyclopedia of the Social &Amp; Behavioral Sciences

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The search of social determinants of health and disease has advanced substantially over the last decade. We present recent theoretical advancements, methodological approaches, and a selection of empirical evidence for the three main research strands: first, social inequalities can explain health differences. Here, we first focus on hierarchical social stratification with regard to socioeconomic and social class differences influencing health, then we extend the view toward nonhierarchical social stratification with regard to ethnocultural differences, lifestyle, and cognitive and noncognitive abilities. We shortly mention social relations and social network as determinants of health. Last, we use the concept of social times to distinguish age, period, and cohort effects in population health. After presenting evidence on contextual social determinants of health, we close with methodological challenges, social policy implications, and translation to practice.

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The impact of employment transitions on health in Germany. A difference-in-differences propensity score matching approach

Cited by 119 publications

References 36 publications

Effect of continuity of care on health-related quality of life in adult patients with hypertension: a cohort study in China

Effect of continuity of care on health-related quality of life in adult patients with hypertension: a cohort study in China

What Does a Swiss Franc Mortgage Cost? The Tale of Polish Trust for Foreign Currency Denominated Mortgages: Implications for Well-Being and Health

Social Epidemiology

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