Effect of Health Literacy on Research Follow-Up

Previous research has not examined the effect of health literacy on research subjects' completion of scheduled research follow-up. This article evaluates patient factors associated with incomplete research follow-up at three time points after enrollment in a large, hospital-based prospective cohort study. Predictor variables included health literacy, age, race, gender, education, employment status, difficulty paying bills, hospital diagnosis, length of stay, self-reported global health status, depression, perceived health competence, medication adherence, and health care system distrust. In a sample of 2,042 patients, multivariable models demonstrated that lower health literacy and younger age were significantly associated with a lower likelihood of completing research follow-up interviews at 2–3 days, 30 days, and 90 days after hospital discharge. In addition, patients who had less education, were currently employed, and had moderate financial stress were less likely to complete 90-day follow-up. This study is the first to demonstrate that lower health literacy is a significant predictor of incomplete research follow-up.

[1]  S. Kripalani,et al.  Predictors of Health Care System and Physician Distrust in Hospitalized Cardiac Patients , 2014, Journal of health communication.

[2]  P. Lugtig.  Panel Attrition , 2014 .

[3]  Amanda H. Salanitro,et al.  Determinants of health after hospital discharge: rationale and design of the Vanderbilt Inpatient Cohort Study (VICS) , 2014, BMC Health Services Research.

[4]  R. Ownby,et al.  Risk and Protective Factors for Retention in HIV Care , 2014, AIDS and Behavior.

[5]  K. Matthews,et al.  Sociodemographic, clinical, and psychological factors associated with attrition in a prospective study of cardiovascular prevention: the Heart Strategies Concentrating on Risk Evaluation study. , 2013, Annals of epidemiology.

[6]  D. Schriger,et al.  Improving telephone follow-up for patients discharged from the emergency department: results of a randomized controlled trial. , 2013, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[7]  Espen Røysamb,et al.  Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study , 2012, BMC Public Health.

[8]  E. Regan,et al.  Automated Telecommunication to Obtain Longitudinal Follow-up in a Multicenter Cross-sectional COPD Study , 2012, COPD.

[9]  R. Gill,et al.  Predictors of attrition in a multidisciplinary adult weight management clinic. , 2012, Canadian journal of surgery. Journal canadien de chirurgie.

[10]  Trey D. Guinn,et al.  Health Literacy, Self-Efficacy, and Patients' Assessment of Medical Disclosure and Consent Documentation , 2012, Health communication.

[11]  R. Allman,et al.  Predictors of 4-year retention among African American and white community-dwelling participants in the UAB study of aging. , 2011, The Gerontologist.

[12]  R. Hays,et al.  Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items , 2009, Quality of Life Research.

[13]  P. Harris,et al.  Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.

[14]  T. Strine,et al.  The PHQ-8 as a measure of current depression in the general population. , 2009, Journal of affective disorders.

[15]  Y. Yazdanpanah,et al.  Incidence rate and risk factors for loss to follow-up in HIV-infected patients from five French clinical centres in Northern France – January 1997 to December 2006 , 2008, Antiviral therapy.

[16]  S. Kripalani,et al.  Development and evaluation of the Adherence to Refills and Medications Scale (ARMS) among low-literacy patients with chronic disease. , 2009, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[17]  W. Zheng,et al.  Timing is everything: methodologic issues locating and recruiting medically underserved women for abnormal mammography follow-up research. , 2008, Contemporary clinical trials.

[18]  M. Hadders‐Algra,et al.  How much loss to follow-up is acceptable in long-term randomised trials and prospective studies? , 2008, Archives of Disease in Childhood.

[19]  Katrina Armstrong,et al.  Development of a Revised Health Care System Distrust Scale , 2008, Journal of General Internal Medicine.

[20]  Sunil Kripalani,et al.  Clinical research in low-literacy populations: using teach-back to assess comprehension of informed consent and privacy information. , 2008, IRB.

[21]  Sara A. Leitsch,et al.  Health literacy as a predictor of follow-up after an abnormal pap smear , 2006, Journal of General Internal Medicine.

[22]  Mark V. Williams,et al.  Test of Functional Health Literacy in Adults , 2016 .

[23]  D. Schillinger,et al.  Use of a modified informed consent process among vulnerable patients: a descriptive study , 2007, Journal of General Internal Medicine.

[24]  Peter Shepherd,et al.  Cohort profile: 1970 British Birth Cohort (BCS70). , 2006, International journal of epidemiology.

[25]  A. Kapteyn,et al.  Effects of Attrition and Non-Response in the Health and Retirement Study , 2006 .

[26]  J. Dumville,et al.  Reporting attrition in randomised controlled trials , 2006, BMJ : British Medical Journal.

[27]  Adam E Barry,et al.  How attrition impacts the internal and external validity of longitudinal research. , 2005, The Journal of school health.

[28]  長尾 建,et al.  ACS(acute coronary syndrome) (特集 救急略語事典) , 2005 .

[29]  Rolf Loeber,et al.  Contacting participants for follow-up: how much effort is required to retain participants in longitudinal studies? , 2005 .

[30]  Pierre Côté,et al.  Methods to Account for Attrition in Longitudinal Data: Do They Work? A Simulation Study , 2005, European Journal of Epidemiology.

[31]  R. Woolard,et al.  Research fundamentals: follow-up of subjects in clinical trials: addressing subject attrition. , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[32]  F. Qian,et al.  Evaluation and characteristics of “dropouts” in a longitudinal clinical study , 2004, Clinical Oral Investigations.

[33]  Paul Griffiths,et al.  Minimizing respondent attrition in longitudinal research: practical implications from a cohort study of adolescent drinking. , 2003, Journal of adolescence.

[34]  L. Davis,et al.  Maximizing retention in community-based clinical trials. , 2002, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.

[35]  S. Janson,et al.  Attrition and retention of ethnically diverse subjects in a multicenter randomized controlled research trial. , 2001, Controlled clinical trials.

[36]  D. Baker,et al.  Development of a brief test to measure functional health literacy. , 1999, Patient education and counseling.

[37]  W. Eaton,et al.  Psychopathology and attrition in the Baltimore ECA 15-year follow-up 1981–1996 , 1999, Social Psychiatry and Psychiatric Epidemiology.

[38]  Cris M. Sullivan,et al.  Retaning Participants in Longitudinal Community Research: A Comprehensive Protocol , 1996 .

[39]  Terry C. Blum,et al.  Assessing the Non-Random Sampling Effects of Subject Attrition in Longitudinal Research , 1996 .

[40]  C. A. Smith,et al.  The development and validation of the Perceived Health Competence Scale. , 1995, Health education research.

[41]  B. Psaty,et al.  Race- and ethnicity-specific characteristics of participants lost to follow-up in a telephone cohort. , 1994, American journal of epidemiology.

[42]  Judith L. Navratil,et al.  Potential dropouts in a longitudinal study: Prevalence, stability, and associated characteristics , 1994 .