Background: There is a paucity of evidence on the association between satisfaction with quality of care and adherence to antidepressants.
Objectives: To examine the association between patient satisfaction with healthcare and adherence to antidepressants.
Methods: A cohort study design was used to identify antidepressant users from the 2010-2016Medical Expenditure Panel Survey data, a national longitudinal complex survey study design on the cost and healthcare utilization of the noninstitutionalized population in the United States.
Background We assessed the associations between patient-clinician relationships (communication and involvement in shared decision-making [SDM]) and adherence to antihypertensive medications. Methods and Results The 2010 to 2017 Medical Expenditure Panel Survey (MEPS) data were analyzed. A retrospective cohort study design was used to create a cohort of prevalent and new users of antihypertensive medications.
View Article and Find Full Text PDFDrinking water utilities rely on samples collected from the distribution system to provide assurance of water quality. If a water contamination incident is suspected, samples can be used to determine the source and extent of contamination. By determining the extent of contamination, the percentage of the population exposed to contamination, or areas of the system unaffected can be identified.
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August 2021
Purpose Of Study: Explore the perceptions of primary care physicians (PCPs) from community health care centers (CHCs) in Franklin County, Ohio, regarding factors that contribute to their inability to consistently provide sustainable asthma management services to their uninsured patient population.
Primary Practice Setting: Asthmatic patients are not consistently receiving sustainable asthma management in CHCs in Ohio. Primary care physicians in CHCs play a pivotal role in closing health care gaps for asthmatic patients.
Water utilities are vulnerable to a wide variety of human-caused and natural disasters. The Water Network Tool for Resilience (WNTR) is a new open source Python™ package designed to help water utilities investigate resilience of water distribution systems to hazards and evaluate resilience-enhancing actions. In this paper, the WNTR modeling framework is presented and a case study is described that uses WNTR to simulate the effects of an earthquake on a water distribution system.
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