Methods Inf Med 2002; 41(05): 360-369
DOI: 10.1055/s-0038-1634453
Original Article
Schattauer GmbH

Patient Acceptance of Educational Voice Messages: A Review of Controlled Clinical Studies

S. Krishna
1   Center for Health Care Quality, University of Missouri, Columbia MO, USA
,
E. A. Balas
2   School of Public Health, Saint Louis University, St. Louis, MO, USA
,
S. A. Boren
1   Center for Health Care Quality, University of Missouri, Columbia MO, USA
,
N. Maglaveras
3   Lab of Medical Informatics, Aristotle University, Thessaloniki, Macedonia, Greece
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

Summary

Objectives: The objective of this study was to evaluate controlled evidence on the impact of automated computer-based telephone messaging technology upon health outcomes, cost savings and acceptance by patients, caregivers and care providers.

Methods: Systematic searches of electronic databases were conducted to find controlled clinical studies of automated phone messaging used in patient care. Studies were selected based on the three criteria: 1) randomized controlled trials or controlled trials; 2) patients receiving health care related education, information, advice or reminder for a specific action to be taken in their home setting; and 3) use of automated computer-based phone technology to deliver the messages. Information abstracted from studies included information about the institution, persons targeted, intervention and its effect on health outcomes, costs and acceptance by patients and caregivers.

Results: A total of nineteen studies were identified for review. Sixteen studies were randomized controlled trials and three were controlled studies with no randomization. Studies were placed in two categories, preventive care education and chronic care studies. Preventive care education studies covered childhood immunizations, medication compliance, influenza vaccinations, tuberculosis and health prevention activities and chronic care studies were related to cholesterol, diabetes, hyper-tension and congestive heart failure. More than 80% of studies showed significant impact upon measurable health outcomes.

Conclusions: Controlled evidence substantiates the efficacy of automated telephone communication in improving the quality of care. Educational voice messages are acceptable to patients and represent an important opportunity to enhance telemedicine and telehealth applications.

 
  • REFERENCES

  • 1 Holman H, Lorig K. Patients as partners in managing chronic disease. BMJ 2000; 320: 526-7.
  • 2 Franks P, Clancy CM, Nutting PA. Gatekeeping revisited: protecting patients from over treatment. N Engl J Med 1992; 327: 424-9.
  • 3 Salsberry PJ, Nickel JT, Mitch R. Why aren’t preschoolers immunized? A comparison of parents’ and providers’ perceptions of the barriers to immunizations. J Comm Health Nurs 1993; 10 (Suppl. 04) 213-24.
  • 4 Verver S, Poelman M, Bogels A, Chisholm SL, Dekker FW. Effects of instruction by practice assistants on inhaler technique and respiratory symptoms of patients. A controlled randomized videotaped intervention. Fam Pract 1996; 13 (Suppl. 01) 35-40.
  • 5 Monane M, Bohn RL, Gurwitz JH, Glynn RJ, Avorn J. Noncompliance with congestive heart failure therapy in the elderly. Arch Intern Med 1994; 154 (Suppl. 04) 433-7.
  • 6 Hughes DM, McLeod M, Garner B, Gold-bloom RB. Controlled trial of a home and ambulatory program for asthmatic children. Pediatrics 1991; 87 (Suppl. 01) 54-61.
  • 7 Hill J, Bird HA, Hopkins R, Lawton C, Wright V. The development and use of Patient Knowledge Questionnaire in rheumatoid arthritis. Br J Rheumatol 1991; 30 (Suppl. 01) 45-9.
  • 8 Starostina EG, Schimke E. Incidence of severe hypoglycemia in relation to metabolic control and patient knowledge. Med Klin 1995; 90 (Suppl. 10) 557-61.
  • 9 Graziani C, Rosenthal MP, Diamond JJ. Diabetes education program use and patient perceived barriers to attendance. Fam Med 1999; 31 (Suppl. 05) 358-63.
  • 10 Kendrick AH, Higgs CMB, Whitfield MJ, Laszlo G. Accuracy of perception of severity of asthma: patients treated in general practice. BMJ 1993; 307: 422-4.
  • 11 Conway T, Hu TC, Bennett S, Niedos M. A pilot study describing local residents’ perceptions of asthma and knowledge of asthma care in selected Chicago communities. Chest 1999; 116 (4 Suppl 1) 229S-34S.
  • 12 Blixen CE, Murphy D, Ault V, Hammel JP. Feasibility of a nurse-run asthma education program for urban African Americans: a pilot study. Abstract Book/Association for Health Services Research;. 15: 255.
  • 13 Betancourt JR, Carrillo JE, Callahan MA. Observations from Latinos at an academic out-patient practice: implications for Medicaid Managed care. Abstract Book /Association for Health Services Research;. 15: 13.
  • 14 Piette JD, Moos RH. The influence of distance on ambulatory care use, death, and readmission following a myocardial infarction. Health Services Res 1996; 31 (Suppl. 05) 573-91.
  • 15 Padgett D, Mumford E, Haynes M, Carter R. Meta-analysis of the effects of educational and psychosocial intervention on management of diabetes mellitus. J of Clin Epidemiol 1988; 41: 1007-30.
  • 16 Mullen PD, Simons-Morton DG, Ramirez G, Frankowski RF, Green LW, Mains DA. A meta-analysis of trials evaluating patient education and counseling for three groups of preventive health behaviors. Pat Edu and Couns 1997; 32: 157-73.
  • 17 Roizen MF, Coalson D, Hayward RS, Schmitt-ner J, Thisted RA, Apfelbaum JL. et al. Can patients use automated questionnaire to define their current health status?. Med Care 1992; 30: MS74-MS84.
  • 18 Dutton JP, Posner BA, Smigeiski C, Friedman RH. Lowering of total serum cholesterol through the use of DietAid: a telecommunications system for dietary counseling. Ann Behav Med 1995; 17 S S088.
  • 19 Piette JD, McPhee SJ, Weinberger M, Mah CA, Kraemer FB. Use of automated telephone disease management calls in an ethnically diverse sample of low-income patients with diabetes. Diabetes Care 1999; 22 (Suppl. 08) 1302-9.
  • 20 Piette JD, Weinberger M, McPhee SJ. The effect of automated calls with telephone nurse follow-up on patient-centered outcomes of diabetes care: A randomized controlled trial. Med Care 2000; 38: 218-30.
  • 21 Friedman RH, Kazis LE, Jette A, Smith MB, Stollerman J, Torgerson J. et al. A telecommunications system for monitoring and counseling patients with hypertension. Impact on medication adherence and blood pressure control. Am J Hypertens 1996; 9 4 Pt 1 285-92.
  • 22 Stricklin MLV, Jones S, Niles SA. Home Talk/Healthy Talk: Improving patients’ health status with telephone technology. Home Healthc Nurse 2000; 18 (Suppl. 01) 53-62.
  • 23 Dini EF, Linkins RW, Sigafoos J. The impact of computer-generated messages on childhood immunization coverage. Am J Prev Med 2000; 18 (Suppl. 02) 32-9.
  • 24 Dini EF, Linkins RW, Chaney M. Effectiveness of computer-generated telephone messages in increasing clinic visits. Arch Pediatr Adolesc Med 1995; 149 (Suppl. 08) 902-5.
  • 25 Linkins RW, Dini EF, Watson G, Patriarca PA. A randomized trial of the effectiveness of computer-generated telephone messages in increasing immunization visits among preschool children. Arch Pediatr Adolesc Med 1994; 148 (Suppl. 09) 908-14.
  • 26 Stehr-Green PA, Dini EF, Lindegren ML, Patriarca PA. Evaluation of telephoned computer-generated reminders to improve immunization coverage at inner-city clinics. Public Health Rep 1993; 108 (Suppl. 04) 426-30.
  • 27 Leirer VO, Morrow DG, Tanke ED, Pariante GM. Elders’ nonadherence: its assessment and medication reminding by voice mail. Gerontologist 1991; 31 (Suppl. 04) 514-20.
  • 28 Leirer VO, Morrow DG, Pariante G, Doksum T. Increasing influenza vaccination adherence through voice mail. J Am Geriatric Soc 1989; 37 (Suppl. 12) 1147-50.
  • 29 Leirer VO, Tanke ED, Morrow DG. Commercial Cognitive/memory systems: a case study. Applied Cognitive Psychology 1993; 7: 675-89.
  • 30 Tanke ED, Leirer VO. Automated telephone reminders in tuberculosis care. Med Care 1994; 32 (Suppl. 04) 380-9.
  • 31 Jarvis KL, Friedman RH, Heeren T, Cullinane PM. Older women and physical activity: using the telephone to walk. Women’s Health Issues, 1997; 7 (Suppl. 01) 24-9.
  • 32 Morrow D, Leirer VO, Carver LM, Tanke ED, McNally AD. Repetition improves older and younger adult memory for automated appointment messages. Hum Factors 1999; 41 (Suppl. 02) 194-204.
  • 33 Alemi F, Alemagno SA, Goldhagen J, Ash L, Finkelstein B, Lavin A, Butts J, Ghadiri A. Computer reminders improve on-time immunization rates. Medical Care 1996; 34 10 Suppl OS45-51.
  • 34 Milch RA, Ziv L, Evans V, Hillebrand M. The effect of an alphanumeric paging system on patient compliance with medicinal regimens. The Am J Hosp Palliat Care 1996; 13 (Suppl. 03) 46-8.
  • 35 Greenlick MR, Freeborn DK, Gambill GL, Pope CR. Determinants of medical care utilization: the role of the telephone in total medical care. Med Care 1973; 11 (Suppl. 02) 121-34.
  • 36 Kaplan B, Farzanfar R, Friedman RH. Ethno-graphic interviews to elicit patients’ reactions to an intelligent interactive telephone health behavior advisor system. Proceedings of the AMIA Annual Symposium. 1999: 555-9.
  • 37 McKay MM, McCadam K, Gonzales JJ. Addressing the barriers to mental health services for inner city children and their caretakers. Community Men Health J 1996; 32 (Suppl. 04) 353-61.
  • 38 Cheng TL, Ottolini MC, Baumhaft K. Strategies to increase adherence with tuberculosis test reading in a high-risk population. Pediatrics 1997; 100: 210-3.
  • 39 Cargill JM. Medication compliance in elderly people: influencing variables and interventions. J of Adv Nurs 1992; 17: 422-6.
  • 40 Sellors J, Pickard L, Mahoney JB. et al. Understanding and enhancing compliance with the second dose of hepatitis B vaccine: a cohort analysis and a randomized controlled trial. CMAJ 1997; 157: 143-8.
  • 41 Taplin SH, Barlow WE, Ludman E. et al. Testing reminder and motivational telephone calls to increase screening mammography: a randomized study. J Natl Cancer Inst 2000; 92 (Suppl. 03) 233-42.
  • 42 Legorreta AP, Hasan MM, Peters AL, Pelletier KR, Leung K. An intervention for enhancing compliance with screening recommendations with diabetic retinopathy. Diabetes Care 1997; 20 (Suppl. 04) 520-3.
  • 43 Szilagyi PG, Rodewald LE, Savageau J, Yoos L, Doane C. Improving influenza vaccination rates in children with asthma: a test of a computerized reminder system and an analysis of factors predicting vaccination compliance. Pediatrics 1992; 90 (Suppl. 06) 871-5.
  • 44 Bull FC, Kreuter MW, Scharff DP. Effects of tailored, personalized and general health messages on physical activity. Pat Edu Counsel 1999; 36 (Suppl. 02) 181-92.
  • 45 Bertera EM, Bertera RL. The cost-effectiveness of telephone vs. clinic counseling for hyper-tensive patients: A pilot study. Am J Public Health 1981; 71 (Suppl. 06) 626-9.
  • 46 Saywell Jr RM, Champion VL, Skinner CS, McQuillen D, Martin D, Maraj M. Cost-effectiveness comparison of five interventions to increase mammography screening. Prev Med 1999; 29 (Suppl. 05) 374-82.
  • 47 Wasson J, Gaudette C, Whaley F. et al. Telephone care as a substitute for routine clinic follow-up. JAMA 1992; 267 (Suppl. 13) 1788-93.
  • 48 Mahoney DF, Tarlow B, Sandaire J. A computer-mediated intervention for Alzheimer’s caregivers. Comput Nurs 1998; 16 (Suppl. 04) 208-18.
  • 49 Patel UH, Babbs CF. A computer-based, automated, telephonic system to monitor patient progress in the home setting. J Med Syst 1992; 16 2-3 101-12.
  • 50 Brug J, Campbell M, Assema PV. The application and impact of computer-generated personalized nutrition education: A review of literature. Pat Edu Counsel 1999; 36 (Suppl. 02) 145-56.
  • 51 US Census Bureau: Statistical abstracts of the United States, the national data book,. 1999. Washington DC: 1999
  • 52 Franzini L, Rosenthal J, Spears W. et al. Cost-effectiveness of childhood immunization reminder/recall systems in urban private practices. Pediatrics 2000; 106 (Suppl. 01) 177-83.