Advertisement
Original article| Volume 22, ISSUE 3, e243-e251, May 2012

Multilevel Analysis of the Determinants of Receipt of Clinical Preventive Services among Reproductive-Age Women

  • Jennifer S. McCall-Hosenfeld
    Correspondence
    Correspondence to: Jennifer S. McCall-Hosenfeld, MD, MSc, Penn State Hershey College of Medicine, 500 University Drive, Mailcode: A210, Hershey, PA 17033. Phone: 717-531-8161; fax: 717-531-7726.
    Affiliations
    Department of Medicine, Pennsylvania State University College of Medicine, Hershey, Pennsylvania

    Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
    Search for articles by this author
  • Carol S. Weisman
    Affiliations
    Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania

    Department of Obstetrics and Gynecology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
    Search for articles by this author
  • Fabian Camacho
    Affiliations
    Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
    Search for articles by this author
  • Marianne M. Hillemeier
    Affiliations
    Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania

    Department of Health Policy and Administration, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
    Search for articles by this author
  • Cynthia H. Chuang
    Affiliations
    Department of Medicine, Pennsylvania State University College of Medicine, Hershey, Pennsylvania

    Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
    Search for articles by this author
Published:January 24, 2012DOI:https://doi.org/10.1016/j.whi.2011.11.005

      Abstract

      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.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Women's Health Issues
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

      1. American Academy of Family Physicians. (N.D.) Primary care policy and advocacy. Available: http://www.aafp.org. Accessed April 28, 2011.

        • American College of Obstetricians and Gynecologists (ACOG) Committee on Gynecologic Practice
        ACOG Committee Opinion no. 452: Primary and preventive care: Periodic assessments.
        Obstetrics and Gynecology. 2009; 114: 1444-1451
        • Andersen R.M.
        Revisiting the behavioral model and access to medical care: Does it matter?.
        Journal of Health and Social Behavior. 1995; 36: 1-10
        • Behringer B.
        • Friedell G.H.
        • Dorgan K.A.
        • Hutson S.P.
        • Naney C.
        • Phillips A.
        • et al.
        Understanding the challenges of reducing cancer in Appalachia: Addressing a place-based health disparity population.
        California Journal of Health Promotion. 2007; 5: 40-49
        • Bennett M.D.
        Counting generalist physicians (Letter to the editor).
        Journal of the American Medical Association. 1996; 275: 1544-1545
        • Beydoun H.A.
        • Beydoun M.A.
        Predictors of colorectal cancer screening behaviors among average-risk older adults in the United States.
        Cancer Causes and Control. 2008; 19: 339-359
        • Brant R.
        Assessing proportionality in the proportional odds model for ordinal logistic regression.
        Biometrics. 1990; 46: 1171-1178
        • Budetti P.P.
        Achieving a uniform federal primary care policy. Opportunities presented by national health reform.
        Journal of the American Medical Association. 1993; 269: 498-501
        • Brown C.V.
        Primary care for women: The role of the obstetrician-gynecologist.
        Clinical Obstetrics and Gynecology. 1999; 42: 306-313
        • Casey M.M.
        • Call K.T.
        • Klinger J.M.
        Are rural residents less likely to obtain recommended preventive healthcare services?.
        American Journal of Preventive Medicine. 2001; 21: 182-188
        • Centers for Disease Control and Prevention (CDC)
        Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings.
        Morbidity and Mortality Weekly Report. 2006; 55: 1-17
        • Centers for Disease Control and Prevention (CDC)
        Recommended adult immunization schedule-United States, 2010.
        Morbidity and Mortality Weekly Report. 2010; 59
        • Collins K.S.
        • Schoen C.
        • Joseph S.
        • Duchon L.
        • Simantov E.
        • Yellowitz M.
        Health concerns across a woman’s lifespan: The Commonwealth Fund 1998 Survey of Women’s Health.
        The Commonwealth Fund, New York1999
        • Coughlin S.S.
        • Leadbetter S.
        • Richards T.
        • Sabatino S.A.
        Contextual analysis of breast and cervical cancer screening and factors associated with health care access among United States women, 2002.
        Social Science in Medicine. 2008; 66: 260-275
        • Curry M.A.
        • Campbell R.A.
        • Christian M.
        Validity and reliability of the Prenatal Psychosocial Profile.
        Research in Nursing and Health. 1994; 17: 127-135
        • Diez Roux A.V.
        Investigating neighborhood and area effects on health.
        American Journal of Public Health. 2001; 91: 1783-1789
      2. Dorgan, K. A., Hutson, S. P., Gerding, G., & Duvall, K. L. (2009). Culturally tailored cancer communication, education, and research: The highways and back roads of Appalachia. Preventing Chronic Disease 6. Available: http://www.cdc.gov.

        • Family Violence Prevention Fund
        National consensus guidelines on identifying and responding to domestic violence victimization in healthcare settings.
        Author, San Francisco2004
        • Friedmann-Sanchez G.
        • Griffin J.M.
        • Partin M.R.
        Gender differences in colorectal cancer screening barriers and information needs.
        Health Expectations. 2006; 10: 148-160
        • Goodwin R.
        • Andersen R.M.
        Use of the behavioral model of health care use to identify correlates of use of treatment for panic attacks in the community.
        Social Psychiatry and Psychiatric Epidemiology. 2002; 37: 212-219
        • Guessous I.
        • Dash C.
        • Lapin P.
        • Doroshenk M.
        • Smith R.A.
        • Klabunde C.N.
        Colorectal cancer screening barriers and facilitators in older persons.
        Preventive Medicine. 2010; 50: 3-10
        • Grumbach K.
        • Becker S.H.
        • Osborn E.H.S.
        • Bindman A.B.
        The challenge of defining and counting generalist physicians: An analysis of physician masterfile data.
        American Journal of Public Health. 1995; 85: 1402-1407
        • Health Resources and Services Administration, Department of Health and Human Services, Office of Workforce Policy and Performance Management
        Technical Documentation with Field Numbers for the Area Resource File.
        U.S. Department of Health and Human Services, Washington, DC2007
        • Henderson J.T.
        • Weisman C.S.
        • Grason H.
        Are two doctors better than one? Women’s physician use and appropriate care.
        Women’s Health Issues. 2002; 12: 138-149
        • Hurd W.H.
        • Barhan S.M.
        • Rogers R.E.
        Obstetrician-gynecologist as primary care provider.
        American Journal of Managed Care. 2001; 2001: SP19-SP24
        • Hutter N.
        • Schnurr A.
        • Baumeister H.
        Healthcare costs in patients with diabetes mellitus and comorbid mental disorders: A systematic review.
        Diabetologia. 2010; 53: 2470-2479
        • Institute of Medicine (IOM)
        Committee on Preventive Services for Women. Clinical preventive services for women: Closing the gaps.
        The National Academies Press, Washington, DC2011
        • Ioannou G.N.
        • Chapko M.K.
        • Dominitz J.A.
        Predictors of colorectal cancer screening participation in the United States.
        American Journal of Gastroenterology. 2003; 98: 2082-2091
        • Johnson K.
        • Posner S.F.
        • Biermann J.
        • Cordero J.F.
        • Atrash H.K.
        • Parker C.S.
        • et al.
        Recommendations to improve preconception health and health care: United States. A report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care.
        Morbidity and Mortality Weekly Report Recommendations and Reports. 2006; 55: 1-23
        • Litaker D.
        • Tomolo A.
        Association of contextual factors and breast cancer screening: Finding new targets to promote early detection.
        Journal of Women’s Health. 2007; 16: 36-45
        • Loxton D.
        • Powers J.
        • Schofield M.
        • Hussain R.
        • Hoskins S.
        Inadequate cervical cancer screening among mid-aged Australian women who have experienced partner violence.
        Preventive Medicine. 2009; 48: 184-188
        • McCloskey L.A.
        • Williams C.M.
        • Lichter E.
        • Gerber M.
        • Ganz M.L.
        • Sege R.
        Abused women disclose partner interference in health care: An unrecognized form of battering.
        Journal of General Internal Medicine. 2007; 22: 1067-1072
        • McGlynn E.A.
        • Asch S.M.
        • Adams J.
        • Keesey J.
        • Hicks J.
        • DeCristofaro A.
        • et al.
        The quality of health care delivered to adults in the United States.
        The New England Journal of Medicine. 2003; 348: 2635-2645
        • Miller T.
        • Hooker R.S.
        • Mains D.A.
        Characteristics of osteopathic physicians choosing to practice rural primary care.
        Journal of the American Osteopathic Association. 2006; 106: 275-279
        • National Center for Health Statistics
        Health, United States, 2009: With special feature on medical technology.
        Author, Hyattsville, MD2009
      3. National Cholesterol Education Program Expert Panel. (2002). Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (ATP III). NIH. Publication No. 02-5212, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD.

        • Nawaz H.
        • Katz D.L.
        American College of Preventive Medicine Practice Policy statement. Weight management counseling of overweight adults.
        American Journal of Preventive Medicine. 2001; 21: 73-78
        • Peytremann-Brideveaux I.
        • Voellinger R.
        • Santos-Eggimann B.
        Healthcare and preventive services utilization of elderly Europeans with depressive symptoms.
        Journal of Affective Disorders. 2008; 105: 247-252
        • Peterson B.
        • Harell F.
        Partial proportional odds models for ordinal response variables.
        Applied Statistics. 1990; 39: 205-217
      4. Rabe-Hesketh, S., Skrondal, A., & Pickles, A. (2004). GLLAMM Manual.U.C. Berkeley Division of Biostatistics Working Paper Series, Working Paper 160. Available: http://www.bepress.com/.

        • Radloff L.S.
        The CES-D Scale: A self-report depression scale for research in the general population.
        Applied Psychological Measurement. 1977; 1: 385-401
        • Rosenberg M.
        Society and the adolescent self-image.
        Princeton University Press, Princeton, NJ1965
        • Ruffin M.T.
        • Gorenflow D.W.
        • Woodman B.
        Predictors of screening for breast, cervical, colorectal and prostatic cancer among community-based primary care practices.
        Journal of the American Board of Family Medicine. 2000; 13: 1-10
        • Sambamoorthi U.
        • McAlpine D.D.
        Racial, ethnic, socioeconomic, and access disparities in the use of preventive services among women.
        Preventive Medicine. 2003; 37: 475-484
        • Shenson D.
        • Adams M.
        • Bolen J.
        Delivery of preventive services to adults aged 50-64: Monitoring performance using a composite measure.
        Journal of General Internal Medicine. 2008; 23: 733-740
        • Sherborne C.D.
        • Dwight-Johnson M.
        • Klap R.
        Psychological distress, unmet need, and barriers to mental health care for women.
        Women’s Health Issues. 2001; 11: 231-243
        • Sherborne C.D.
        • Stewart A.L.
        The MOS social support survey.
        Social Science in Medicine. 1991; 32: 704-714
        • Straus M.A.
        Measuring intrafamily conflict and violence: The Conflict Tactics Scale.
        Journal of Marriage and Family. 1979; 41: 75-88
      5. U.S. Department of Agriculture. (2010). Economic Research Service. Measuring rurality: Rural urban continuum codes. Available: http://www.ers.usda.gov.

      6. U.S. Department of Health and Human Services (U.S. DHHS). (2010). Area Resource File (ARF): National county-level health resource information database. Available: http://arf.hrsa.gov/. Accessed 6/15/2010.

      7. U.S. Department of Health and Human Services (U.S. DHHS). (2011). National Guideline Clearinghouse. Guidelines Syntheses. Available: http://www.guideline.gov/.

      8. U.S. Preventive Services Task Force (USPSTF). (2010). Guide to Clinical Preventive Services, 2010–2011. Available: http://www.ahrq.gov.

        • Ware J.E.
        • Kosinski M.
        • Turner-Bowker D.M.
        • Gandek B.
        How to Score Version 2 of the SF-12 Health Survey (With a Supplement Documenting Version 1.).
        QualityMetric Incorporated, Lincoln, RI2002
        • Williams R.
        Generalized ordered logit/partial proportional odds for ordinal dependent variables.
        Stata Journal. 2006; 6: 58-82
        • Weisman C.S.
        • Hillemeier M.M.
        • Chase G.A.
        • Dyer A.M.
        • Baker S.A.
        • Feinberg M.
        • et al.
        Preconceptional health: Risks of adverse pregnancy outcomes by reproductive life stage in the Central Pennsylvania Women’s Health Study (CePAWHS).
        Women’s Health Issues. 2006; 16: 216-224
        • Weisman C.S.
        • Misra D.P.
        • Hillemeier M.M.
        • Downs D.S.
        • Chuang C.H.
        • Camacho F.T.
        • et al.
        Preconception predictors of birth outcomes: Prospective findings from the central Pennsylvania women’s health study.
        Maternal Child Health Journal. 2011; 15: 829-835
        • Zhang J.
        • Oldenburg B.
        • Turrell G.
        Measuring factors that influence the utilisation of preventive care services provided by general practitioners in Australia.
        BMC Health Services Research. 2009; 9: 218

      Biography

      Jennifer S. McCall-Hosenfeld, MD, MSc, is Assistant Professor of Medicine and Public Health Sciences. Her research focuses on improving primary care for rural women, including survivors of intimate partner violence.

      Biography

      Carol S. Weisman, PhD, is Distinguished Professor of Public Health Sciences and Obstetrics and Gynecology. She is a sociologist and health services researcher with a special interest in women's primary and preventive care.

      Biography

      Fabian Camacho, MS, is a data analyst and statistical programmer who has experience in applying and interpreting statistical methods used in the social sciences, including longitudinal, multilevel, survival and latent variable analysis.

      Biography

      Marianne M. Hillemeier, PhD, MPH, is Associate Professor of Health Policy and Administration and Public Health Sciences. She is a sociologist and demographer with research interests in maternal and child health disparities.

      Biography

      Cynthia H. Chuang, MD, MSc, is Associate Professor of Medicine and Public Health Sciences. She is a general internist with research interests in reproductive health care for women with chronic medical conditions.