1. Effect of continuity of care on health-related quality of life in adult patients with hypertension: a cohort study in China
- Author
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Xiaowei Sun, Wenxi Tang, Yan Zhang, Liang Zhang, Ting Ye, and Yudong Miao
- Subjects
Gerontology ,Adult ,Male ,medicine.medical_specialty ,China ,Health-related quality of life ,Health Status ,Statistics, Nonparametric ,Health administration ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Quality of life (healthcare) ,Surveys and Questionnaires ,medicine ,Humans ,030212 general & internal medicine ,Aged ,Aged, 80 and over ,Physician-Patient Relations ,Descriptive statistics ,business.industry ,030503 health policy & services ,Public health ,Nursing research ,Health Policy ,Continuity of Patient Care ,Middle Aged ,Mental health ,Mental Health ,Family medicine ,Propensity score matching ,Hypertension ,Continuity of care ,Quality of Life ,Female ,0305 other medical science ,business ,Cohort study ,Research Article - Abstract
Background Continuity 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. Methods To 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. Results Our 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
- Published
- 2016