Skip to main content
Log in

Patient Difficulty Using Tablet Computers to Screen in Primary Care

  • Original Article
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

Abstract

Background

Patient-administered computerized questionnaires represent a novel tool to assist primary care physicians in the delivery of preventive health care.

Objective

The aim of this study was to assess patient-reported ease of use with a self-administered tablet computer-based questionnaire in routine clinical care.

Design

All patients seen in a university-based primary care practice were asked to provide routine screening information using a touch-screen tablet computer-based questionnaire. Patients reported difficulty using the tablet computer after completion of their first questionnaire.

Patients

Ten thousand nine hundred ninety-nine patients completed the questionnaire between January 2004 and January 2006.

Measurements

We calculated rates of reporting difficulty (no difficulty, some difficulty, or a lot of difficulty) using the tablet computers based on patient age, sex, race, educational attainment, marital status, and number of comorbid medical conditions. We constructed multivariable ordered logistic models to identify predictors of increased self-reported difficulty using the computer.

Results

The majority of patients (84%) reported no difficulty using the tablet computers to complete the questionnaire, with only 3% reporting a lot of difficulty. Significant predictors of reporting more difficulty included increasing age [odds ratio (OR) 1.05, 95% confidence interval (CI) 1.05–1.05)]; Asian race (OR 2.3, 95% CI 1.8–2.9); African American race (OR 1.4, 95% CI 1.2–1.6); less than a high school education (OR 3.0, 95% CI 2.6–3.4); and the presence of comorbid medical conditions (1–2: OR 1.3, 95% CI 1.2–1.5; ≥3: OR 1.7 95% CI 1.5–2.1).

Conclusions

The majority of primary care patients reported no difficulty using a self-administered tablet computer-based questionnaire. While computerized questionnaires present opportunities to collect routine screening information from patients, attention must be paid to vulnerable groups.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Bachman JW. The patient-computer interview: a neglected tool that can aid the clinician. Mayo Clin Proc. 2003;78(1):67–78.

    PubMed  Google Scholar 

  2. Bliven BD, Kaufman SE, Spertus JA. Electronic collection of health-related quality of life data: validity, time benefits, and patient preference. Qual Life Res. 2001;10(1):15–22.

    Article  PubMed  CAS  Google Scholar 

  3. McGuire M, Bakst K, Fairbanks L, et al. Cognitive, mood, and functional evaluations using touchscreen technologies. J Nerv Ment Dis. 2000;188(12):813–7.

    Article  PubMed  CAS  Google Scholar 

  4. Jette AM, Davies A, Cleary PD, et al. The functional status questionnaire: reliability and validity when used in primary care. J Gen Intern Med. 1986;1(3):143–9.

    Article  PubMed  CAS  Google Scholar 

  5. Feigelson ME, Dwight SA. Can asking questions by computer improve the candidness of responding? A meta-analytic perspective. Consult Psychol J: Prac Res. 2000;52(4):248–55.

    Article  Google Scholar 

  6. US Preventive Services Task Force. Genetic risk assessment and BRCA mutation testing for breast and ovarian cancer susceptibility: recommendation statement. Ann Intern Med. 2005;143(5):355–61.

    Google Scholar 

  7. US Preventive Services Task Force. Screening for suicide risk: recommendation and rationale. Ann Intern Med. 2004;140(10):820–1.

    Google Scholar 

  8. US Preventive Services Task Force. Screening and behavioral counseling interventions in primary care to reduce alcohol misuse: recommendation statement. Ann Intern Med. 2004;140(7):554–6.

    Google Scholar 

  9. US Preventive Services Task Force. Screening for family and intimate partner violence: recommendation statement. Ann Intern Med. 2004;140(5):382–6.

    Google Scholar 

  10. US Preventive Services Task Force. Screening for thyroid disease: recommendation statement. Ann Intern Med. 2004;140(2):125–7.

    Google Scholar 

  11. US Preventive Services Task Force. Screening for obesity in adults: recommendations and rationale. Ann Intern Med. 2003;139(11):930–2.

    Google Scholar 

  12. US Preventive Services Task Force. Screening for type 2 diabetes mellitus in adults: recommendations and rationale. Ann Intern Med. 2003;138(3):212–4.

    Google Scholar 

  13. US Preventive Services Task Force. Screening for colorectal cancer: recommendation and rationale. Ann Intern Med. 2002;137(2):129–31.

    Google Scholar 

  14. US Preventive Services Task Force. Screening for depression: recommendations and rationale. Ann Intern Med. 2002;136(10):760–4.

    Google Scholar 

  15. Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention? Am J Public Health. 2003;93(4):635–41.

    Article  PubMed  Google Scholar 

  16. Tsui JI, Dodson K, Jacobson TA. Cardiovascular disease prevention counseling in residency: resident and attending physician attitudes and practices. J Natl Med Assoc. 2004;96(8):1080–3. 1088–91.

    PubMed  Google Scholar 

  17. Melin I, Karlstrom B, Berglund L, Zamfir M, Rossner S. Education and supervision of health care professionals to initiate, implement and improve management of obesity. Patient Educ Couns. 2005;58(2):127–36.

    Article  PubMed  Google Scholar 

  18. Rollman BL, Hanusa BH, Gilbert T, Lowe HJ, Kapoor WN, Schulberg HC. The electronic medical record. A randomized trial of its impact on primary care physicians’ initial management of major depression [corrected]. Arch Intern Med. 2001;161(2):189–97.

    Article  PubMed  CAS  Google Scholar 

  19. Rollman BL, Hanusa BH, Lowe HJ, Gilbert T, Kapoor WN, Schulberg HC. A randomized trial using computerized decision support to improve treatment of major depression in primary care. J Gen Intern Med. 2002;17(7):493–503.

    Article  PubMed  Google Scholar 

  20. Bock B, Niaura , Fontes A, Bock F. Acceptability of computer assessments among ethnically diverse, low-income smokers. Am J Health Promot. 1999;13(5):299–304.

    PubMed  CAS  Google Scholar 

  21. Hess , Matthews K, McNeil M, Chang CCH, Kapoor W, Bryce C. Health services research in the privacy age. J Gen Intern Med. 2005;20(11):1045–9.

    Article  PubMed  Google Scholar 

  22. Dickinson A, Gregor P. Designing computer systems for and with older users. Behav Inf Technol. 2007;26(4):273–4.

    Article  Google Scholar 

  23. Hawthorn D. Interface design and engagement with older people. Behav Inf Technol. 2007;26(4):333–41.

    Article  Google Scholar 

  24. Dickinson A, Arnott J, Prior S. Methods for human–computer interaction research with older people. Behav Inf Technol. 2007;26(4):343–52.

    Article  Google Scholar 

  25. Larkin-Lieffers PA. The older adult and public library computer technology: a pilot study in a Canadian setting. Libri. 2000;50:225–34.

    Article  Google Scholar 

  26. Main D, Quintela J, Araya-Guerra , Holcomb S, Pace W. Exploring patient reactions to pen-tablet computers: a report from CaReNet. Ann Fam Med. 2004;2(5):421–4.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The FAST is supported by the University of Pittsburgh’s Division of General Internal Medicine. Dr. Hess has grant support from the National Institutes of Health, Department of Health and Human Services, through the National Institute on Aging AG024254. Dr. McTigue has grant support from the National Institutes of Health, Department of Health and Human Services, through the National Institute of Diabetes and Digestive and Kidney Diseases DK067192.

Conflict of Interest

Dr. Hess has received research support from BIONOVO for A phase II, double-blind, placebo-controlled, randomized clinical trial assessing safety and efficacy of MF101 for hot flashes and menopausal symptoms in postmenopausal women. No other authors have conflicts to disclose.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rachel Hess MD MSc.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hess, R., Santucci, A., McTigue, K. et al. Patient Difficulty Using Tablet Computers to Screen in Primary Care. J GEN INTERN MED 23, 476–480 (2008). https://doi.org/10.1007/s11606-007-0500-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-007-0500-1

Key words

Navigation