Difference-in-Differences Study Design

Evidence quality

Other

Highlighted claims

• The primary effectiveness objective uses a quasi-experimental difference-in-differences design with repeated cross-sectional patient-level data. — Understanding the impact, reach and implementation of a health systems intervention to improve diabetes and hypertension care in pluralistic urban public primary care in Bangladesh: a study protocol
• Patient-level data are collected at baseline, six months post-implementation, and twelve months post-implementation. — Understanding the impact, reach and implementation of a health systems intervention to improve diabetes and hypertension care in pluralistic urban public primary care in Bangladesh: a study protocol
• The causal estimand is the average treatment effect on the treated, expressed as a prevalence difference. — Understanding the impact, reach and implementation of a health systems intervention to improve diabetes and hypertension care in pluralistic urban public primary care in Bangladesh: a study protocol
• The study cannot formally verify the parallel trends assumption because prior longitudinal data from study facilities are unavailable. — Understanding the impact, reach and implementation of a health systems intervention to improve diabetes and hypertension care in pluralistic urban public primary care in Bangladesh: a study protocol
• Effect modification analyses by facility type and patient sex are underpowered and treated as hypothesis-generating. — Understanding the impact, reach and implementation of a health systems intervention to improve diabetes and hypertension care in pluralistic urban public primary care in Bangladesh: a study protocol