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Family Health

Utilization and Effects of Family Membership

Bibliographic Data

ID9102845
AuthorsEdward Schor, Edward L Schor (0000-0003-0327-8609, Johns Hopkins University, corresponding author), Barbara Starfield, Christine Stidley, Christine A Stidley (University of New Mexico), Janet R Hankin (0000-0001-8309-7722, Wayne State University), Janet Hankin
Year1987
Volume25
Issue7
Pages616-626
Publication date1987-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198707000-00005
OpenAlexW4321508432
LanguageEN
Citations received15

The purpose of this study was to determine the extent to which members of families have similar and interralated health behavior. Utilization and morbidity data from more than 80,000 ambulatory visits by 693 families enrolled in a prepaid health plan for 6 consecutive years were examined using family membership as the major unit of analysis. Family members were found to resemble one another in their rates of use of services (r = 0.44; P< 0.001). Parental influence on children's utilization is significant, mothers generally being two to three times more powerful than fathers in this regard. Apart from family size, structural characteristics of families contribute little to family health behavior. Family membership explains nearly one third of the variance of individual utilization even after family size and age and sex of family members are considered. A small proportion of families (5%) accounts for a disproportionately large share (12.3%) of health care utilization. Intrafamilial patterns of morbidity were apparent for several major groupings of diagnoses, most notably for acute health problems. Intrafamilial correlation were greatest among high-utilizing families. Families establish patterns of health behavior that are stable over time and therefore may be amenable to selective interventions. We conclude that health care planning, whether for service delivery or health education intervention, should consider family health data as an important information source

Family health · Family medicine · Health care · Health plan · Intervention (counseling) · Psychological intervention · Demography · Food Security and Health in Diverse Populations · Health disparities and outcomes · Healthcare Policy and Management · Medicine · Nursing · Psychology · Gerontology

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Unique citing works15
Citations per year0,52
Citation span1997 - 2023 (27)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 15

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