Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-27T18:47:11.201Z Has data issue: false hasContentIssue false

Ability to Reach Low-Income Smokers Enrolled in a Randomised Controlled Trial Varies with Time of Month

Published online by Cambridge University Press:  28 November 2017

Kathryn Hawk*
Affiliation:
Department of Emergency Medicine, Yale School of Medicine, New Haven, CT
Ruizhi Shi
Affiliation:
Department of Biostatistics, Yale School of Public Health, Yale School of Medicine, New Haven, CT
June Weiss
Affiliation:
Department of Emergency Medicine, Yale School of Medicine, New Haven, CT
Robert Makuch
Affiliation:
Department of Biostatistics, Yale School of Public Health, Yale School of Medicine, New Haven, CT
Benjamin Toll
Affiliation:
Department of Psychiatry, Yale School of Medicine, New Haven, CT Yale Cancer Center, Yale School of Medicine, New Haven, CT
Steven L. Bernstein
Affiliation:
Department of Emergency Medicine, Yale School of Medicine, New Haven, CT Yale Cancer Center, Yale School of Medicine, New Haven, CT
*
Address for correspondence: Kathryn Hawk, MD, Department of Emergency Medicine, Yale School of Medicine, 464 Congress Ave., Suite 260, New Haven, CT 06519, 203-737-3574. Email: [email protected]

Abstract

Introduction: Because of financial pressures, low-income individuals sometimes run out of cellphone service towards the end of the month.

Aims: To determine if the time of month affects ability to reach low-income smokers by telephone.

Methods: We reviewed data from a completed trial in the United States of emergency department (ED)-initiated tobacco dependence treatment for low-income smokers at a busy, academic ED in an urban community. We recorded the date of each one-month follow-up call, and divided each month into four time blocks: Week 1, Week 2, Week 3, and Week 4.

Results: A total of 2,049 phone calls were made to reach 769 participants. Of these calls, 677 (33%) resulted in contact; 88% of all participants were contacted. Using generalised estimating equations with Week 4 as reference, the odds of a successful contact at Weeks 1, 2, and 3 were, respectively, 1.52 (95% CI 1.18, 1.96), 1.30 (95% CI 1.01, 1.66), and 1.37 (95% CI 1.07, 1.76).

Conclusions: Study participants became progressively difficult to reach. This result may reflect low-income smokers’ decreased rates of active telephone service later in the month and suggests a mechanism to improve follow-up rates in future studies of low-income populations.

Type
Original Articles
Copyright
Copyright © The Author(s) 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Basu, S., Berkowitz, S. A., & Seligman, H. (2017). The monthly cycle of hypoglycemia. Medical Care, 55 (7), 639645. Retrieved from https://doi.org/10.1097/MLR.0000000000000728.Google Scholar
Bernstein, S. L., D'Onofrio, G., Rosner, J., O'Malley, S., Makuch, R., Busch, S. et al. (2015). Successful tobacco dependence treatment in low-income emergency department patients: A randomized trial. Annals of Emergency Medicine, 66 (2), 140147. Retrieved from https://doi.org/10.1016/j.annemergmed.2015.03.030.Google Scholar
Blumberg, S. J., & Luke, J. V. (2013). Wireless substitution: Early release of estimates from the national health interview survey, January–June 2013. National Center for Health Statistics. December 2013. Available from: http://www.cdc.gov/nchs/nhis.htm.Google Scholar
Blumenthal, D. S., Sung, J., Coates, R., Williams, J., & Liff, J. (1995). Recruitment and retention of subjects for a longitudinal cancer prevention study in an inner-city black community. Health Services Research, 30 (1 Pt 2), 197205. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/7721592.Google Scholar
Cotter, R. B., Burke, J. D., Stouthamer-Loeber, M., & Loeber, R. (2005). Contacting participants for follow-up: How much effort is required to retain participants in longitudinal studies? Evaluation and Program Planning, 28, 1521. Retrieved from https://doi.org/10.1016/j.evalprogplan.2004.10.002.Google Scholar
Cunningham, R., Walton, M. A., Tripathi, S. P., Outman, R., Murray, R., & Booth, B. M. (2008). Tracking inner city substance users from the emergency department: How many contacts does it take? Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine, 15 (2), 136143. Retrieved from https://doi.org/10.1111/j.1553-2712.2008.00033.x.Google Scholar
DSS: How to Access Cash and Supplemental Nutrition Assistance Program (SNAP) Benefits. (n.d.). Retrieved September 7, 2017 https://www.ct.gov/dss/cwp/view.asp?a=2349&q=304628.Google Scholar
Hamelin, A.-M., Beaudry, M., & Habicht, J.-P. (2002). Characterization of household food insecurity in Québec: Food and feelings. Social Science & Medicine (1982), 54 (1), 119132. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/11820676.Google Scholar
Hastings, J., & Washington, E. (2010). The first of the month effect: Consumer behavior and store responses. American Economic Journal: Economic Policy, 2 (2), 142162. Retrieved from https://doi.org/10.1257/pol.2.2.142.Google Scholar
Kleschinsky, J. H., Bosworth, L. B., Nelson, S. E., Walsh, E. K., & Shaffer, H. J. (2009). Persistence pays off: Follow-up methods for difficult-to-track longitudinal samples. Journal of Studies on Alcohol and Drugs, 70 (5), 751761. Retrieved from https://doi.org/10.15288/jsad.2009.70.751.Google Scholar
Leon, A. C., Demirtas, H., & Hedeker, D. (2007). Bias reduction with an adjustment for participants’ intent to dropout of a randomized controlled clinical trial. Clinical Trials (London, England), 4 (5), 540547. Retrieved from https://doi.org/10.1177/1740774507083871.Google Scholar
Purnell, J. Q., Griffith, J., Eddens, K. S., & Kreuter, M. W. (2014). Mobile technology, cancer prevention, and health status among diverse, low-income adults. American Journal of Health Promotion: AJHP, 28 (6), 397402. Retrieved from https://doi.org/10.4278/ajhp.120816-ARB-396.Google Scholar
Ramos-Gomez, F., Chung, L. H., Gonzalez Beristain, R., Santo, W., Jue, B., Weintraub, J. et al. (2008). Recruiting and retaining pregnant women from a community health center at the US-Mexico border for the mothers and youth access clinical trial. Clinical Trials (London, England), 5 (4), 336346. Retrieved from https://doi.org/10.1177/1740774508093980.Google Scholar
Security Administration, S., & of Communications, O. (2012). Schedule of social security benefit payments 2012. Retrieved September 7, 2017 https://www.ssa.gov/pubs/calendar2012.pdf.Google Scholar
Seligman, H. K., Bolger, A. F., Guzman, D., López, A., & Bibbins-Domingo, K. (2014). Exhaustion of food budgets at month's end and hospital admissions for hypoglycemia. Health Affairs (Project Hope), 33 (1), 116123. Retrieved from https://doi.org/10.1377/hlthaff.2013.0096.Google Scholar
Stephens, M. J. (2003). “3rd of the Month”: Do social security recipients smooth consumption between checks? American Economic Review, 93 (1), 406422. doi: 10.1257/000282803321455386.Google Scholar
Tarasuk, V., McIntyre, L., & Li, J. (2007). Low-income women's dietary intakes are sensitive to the depletion of household resources in one month. The Journal of Nutrition, 137 (8), 19801987. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/17634274.Google Scholar
Thompson, F. E., Taren, D. L., Andersen, E., Casella, G., Lambert, J. K., Campbell, C. C. et al. (1988). Within month variability in use of soup kitchens in New York State. American Journal of Public Health, 78 (10), 12981301. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/3421384.Google Scholar
Twitchell, G. R., Hertzof, C. A., Klein, J. L., & Schuckit, M. A. (1992). The anatomy of a follow-up. Addiction, 87 (9), 13271333. Retrieved from https://doi.org/10.1111/j.1360-0443.1992.tb02741.x.Google Scholar
Walton, M. A., Ramanathan, C. S., & Reischl, T. M. (1998). Tracking substance abusers in longitudinal research: Understanding follow-up contact difficulty. American Journal of Community Psychology, 26 (2), 233253. Retrieved from https://doi.org/10.1023/A:1022128519196.Google Scholar
Warner, E. T., Glasgow, R. E., Emmons, K. M., Bennett, G. G., Askew, S., Rosner, B. et al. (2013). Recruitment and retention of participants in a pragmatic randomized intervention trial at three community health clinics: Results and lessons learned. BMC Public Health, 13 (1), 192. Retrieved from https://doi.org/10.1186/1471-2458-13-192.Google Scholar
Woolard, R. H. (2004). Research fundamentals: Follow-up of subjects in clinical trials: Addressing subject attrition. Academic Emergency Medicine, 11 (8), 859866. Retrieved from https://doi.org/10.1197/j.aem.2003.09.021.Google Scholar