检查表
医学
医疗保健
梅德林
家庭医学
现存分类群
联邦医疗保险优良计划
老年学
比例(比率)
质量(理念)
人口
卫生服务研究
范围(计算机科学)
家庭健康
护理部
公共卫生
环境卫生
心理学
地理
法学
认知心理学
经济增长
生物
进化生物学
政治学
地图学
经济
哲学
计算机科学
认识论
程序设计语言
作者
Chenjuan Ma,Martha Rajewski,Jamie M. Smith
出处
期刊:Medical Care
[Lippincott Williams & Wilkins]
日期:2024-03-28
卷期号:62 (5): 333-345
被引量:1
标识
DOI:10.1097/mlr.0000000000001992
摘要
Objectives: Home health care serves millions of Americans who are “Aging in Place,” including the rapidly growing population of Medicare Advantage (MA) enrollees. This study systematically reviewed extant evidence illustrating home health care (HHC) services to MA enrollees. Methods: A comprehensive literature search was conducted in 6 electronic databases to identify eligible studies, which resulted in 386 articles. Following 2 rounds of screening, 30 eligible articles were identified. Each study was also assessed independently for study quality using a validated quality assessment checklist. Results: Of the 30 studies, nearly half (n=13) were recently published between January 1, 2017 - January 6, 2022. Among various issues related to HHC to MA enrollees examined, which were often compared with Traditional Medicare (TM) enrollees, the 2 most studied issues were HHC use rate (including access) and care dosage/intensity. Inconsistencies were common in findings across reviewed studies, with slight variations in the level of inconsistency by studied outcomes. Several critical issues, such as heterogeneity of MA plans, influence of MA-specific features, and program response to policy and quality improvement initiatives, were only examined by 1 or 2 studies. The depth and scope of scientific investigation were also limited by the scale and details available in MA data in addition to other methodological limits. Conclusions: Wild variations and conflicting findings on HHC to MA beneficiaries exist across studies. More research with rigorous designs and robust MA encounter data is warranted to determine home health care for MA enrollees and the relevant outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI