TY - JOUR
T1 - Multilevel Analysis of the Determinants of Receipt of Clinical Preventive Services among Reproductive-Age Women
AU - McCall-Hosenfeld, Jennifer S.
AU - Weisman, Carol S.
AU - Camacho, Fabian
AU - Hillemeier, Marianne M.
AU - Chuang, Cynthia H.
N1 - Funding Information:
The Central Pennsylvania Women’s Health Study was funded, in part, by grant number 4100020719 from the Pennsylvania Department of Health . The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations or conclusions. Dr. McCall-Hosenfeld's effort on the project described was supported by Award Number K12HD055882 ( Penn State BIRCWH Program ) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Eunice Kennedy Shriver National Institute of Child Health and Human Development or the National Institutes of Health. Dr. Chuang was supported by K23 HD051634 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development .
PY - 2012/5
Y1 - 2012/5
N2 - Background: We investigated the impact of individual- and county-level contextual variables on women's receipt of a comprehensive panel of preventive services in a region that includes both urban and rural communities. Methods: Outcome variables were a screening and vaccination index (a count of Papanicolaou test, blood pressure check, lipid panel, sexually transmitted infections [STI] or HIV test, and influenza vaccination received in the past 2 years) and a preventivecounseling index (a count of topics discussed in the past 2 years: Smoking and tobacco, alcohol or drugs, violence and safety, pregnancy planning or contraception, diet/nutrition, and STIs). Contextual covariates from the Area Resource File (2004-2005) were appended to prospective survey data from the Central Pennsylvania Women's Health Study. Individual-level variables included predisposing, enabling, and need-based measures. Contextual variables included community characteristics and healthcare resources, including a measure of primary care physician (PCP) density specifically designed for this study of women's preventive care. Multilevel analyses were performed. Results: We found low overall use of preventive services. In multilevel models, individual-level factors predicted receipt of both screening and vaccinations and counseling services; significant predictors differed for each index. One contextual variable (PCP density) predicted receipt of screenings and vaccinations. Conclusions: Women's receipt of preventive services was determined primarily by individual-level variables. Different variables predicted receipt of screening and vaccination versus counseling services. A contextual measure, PCP density, predicted receipt of preventive screenings and vaccinations. Individual variability in women's receipt of counseling services is largely explained by psychosocial factors and seeing an obstetrician-gynecologist.
AB - Background: We investigated the impact of individual- and county-level contextual variables on women's receipt of a comprehensive panel of preventive services in a region that includes both urban and rural communities. Methods: Outcome variables were a screening and vaccination index (a count of Papanicolaou test, blood pressure check, lipid panel, sexually transmitted infections [STI] or HIV test, and influenza vaccination received in the past 2 years) and a preventivecounseling index (a count of topics discussed in the past 2 years: Smoking and tobacco, alcohol or drugs, violence and safety, pregnancy planning or contraception, diet/nutrition, and STIs). Contextual covariates from the Area Resource File (2004-2005) were appended to prospective survey data from the Central Pennsylvania Women's Health Study. Individual-level variables included predisposing, enabling, and need-based measures. Contextual variables included community characteristics and healthcare resources, including a measure of primary care physician (PCP) density specifically designed for this study of women's preventive care. Multilevel analyses were performed. Results: We found low overall use of preventive services. In multilevel models, individual-level factors predicted receipt of both screening and vaccinations and counseling services; significant predictors differed for each index. One contextual variable (PCP density) predicted receipt of screenings and vaccinations. Conclusions: Women's receipt of preventive services was determined primarily by individual-level variables. Different variables predicted receipt of screening and vaccination versus counseling services. A contextual measure, PCP density, predicted receipt of preventive screenings and vaccinations. Individual variability in women's receipt of counseling services is largely explained by psychosocial factors and seeing an obstetrician-gynecologist.
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U2 - 10.1016/j.whi.2011.11.005
DO - 10.1016/j.whi.2011.11.005
M3 - Article
C2 - 22269668
AN - SCOPUS:84860364920
SN - 1049-3867
VL - 22
SP - e243-e251
JO - Women's Health Issues
JF - Women's Health Issues
IS - 3
ER -