Literature DB >> 26348723

Recruiting 9126 Primary Care Patients by Telephone: Characteristics of Participants Reached on Landlines, Basic Cell Phones, and Smartphones.

Mirsada Serdarevic1, Tera L Fazzino2, Charles D MacLean3, Gail L Rose4, John E Helzer4.   

Abstract

In primary care, collecting information about patient health behaviors between appointments can be advantageous. Physicians and researchers who embrace phone-based technology may find valuable ways to monitor patient-reported outcome measures of health (PROM). However, the level of phone technology sophistication should be tailored to the phone use of the population of interest. Despite the growing use of telephones as a means to gather PROM, little is known about phone use among primary care patients. As part of an ongoing study, the authors recruited primary care patients (N = 9126) for a health behavior screening study by calling them on the primary contact number listed in their medical record. The current study evaluated the frequency with which individuals were reached on landlines, basic cell phones, and smartphones, and examined participant characteristics. The majority of participants (63%) used landlines as their primary contact. Of the 37% using cell phones on the recruitment call, most (71%) were using smartphones. Landline users were significantly older than cell phone users (61.4 vs. 46.2 years; P = .001). Cell phone use did not differ significantly between participants with a college education and those without (37% vs. 38%; P = .82); however, smartphone use did differ (61% vs. 77%; P = .01). The majority of participants sampled used landlines as their primary telephone contact. Researchers designing phone-based PROM studies for primary care may have the broadest intervention reach using interactive voice response telephone technology, as patients could report health outcomes from any type of phone, including landlines. (Population Health Management 2016;19:212-215).

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Mesh:

Year:  2015        PMID: 26348723      PMCID: PMC4913496          DOI: 10.1089/pop.2015.0047

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  26 in total

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Review 2.  Interactive voice response technology to measure HIV-related behavior.

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3.  Test of an interactive voice response intervention to improve adherence to controller medications in adults with asthma.

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4.  Framework to assess the effects of using patient-reported outcome measures in chronic care management.

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5.  The Mayo Clinic manuscript series relative to the discussion, dissemination, and operationalization of the Food and Drug Administration guidance on patient-reported outcomes.

Authors:  Jeff A Sloan; Michele Y Halyard; Marlene H Frost; Amylou C Dueck; Bonnie Teschendorf; Margaret L Rothman
Journal:  Value Health       Date:  2007 Nov-Dec       Impact factor: 5.725

6.  Automated telephone counseling for parents of overweight children: a randomized controlled trial.

Authors:  Paul A Estabrooks; Jo Ann Shoup; Michelle Gattshall; Padma Dandamudi; Susan Shetterly; Stan Xu
Journal:  Am J Prev Med       Date:  2009-01       Impact factor: 5.043

7.  The applications of PROs in clinical practice: what are they, do they work, and why?

Authors:  Joanne Greenhalgh
Journal:  Qual Life Res       Date:  2008-12-23       Impact factor: 4.147

8.  Strategies to use tablet computers for collection of electronic patient-reported outcomes.

Authors:  Kara Schick-Makaroff; Anita Molzahn
Journal:  Health Qual Life Outcomes       Date:  2015-01-22       Impact factor: 3.186

9.  Internet and mobile technology use among urban African American parents: survey study of a clinical population.

Authors:  Stephanie J Mitchell; Leandra Godoy; Kanya Shabazz; Ivor B Horn
Journal:  J Med Internet Res       Date:  2014-01-13       Impact factor: 5.428

10.  Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial.

Authors:  Michelle Clare Carter; Victoria Jane Burley; Camilla Nykjaer; Janet Elizabeth Cade
Journal:  J Med Internet Res       Date:  2013-04-15       Impact factor: 5.428

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  1 in total

1.  Using telephony data to facilitate discovery of clinical workflows.

Authors:  Donald W Rucker
Journal:  Appl Clin Inform       Date:  2017-04-19       Impact factor: 2.342

  1 in total

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