Physician attitudes regarding telephone medicine

J Gen Intern Med. 1996 Nov;11(11):678-83. doi: 10.1007/BF02600159.


Objective: To measure physicians' attitudes regarding telephone medicine and identify determinants of these attitudes.

Design: Cross-sectional survey.

Setting: Ten internal medicine residency programs in the United States.

Participants: Graduates from 1988 through 1992. The response rate was 62% (n = 356).

Measurements and main results: Survey items were assigned to one of four types of variables: demographic, attitude, training, or system variables. We used factor analysis to consolidate information from the individual questions about attitudes. Six scales describing attitudes toward telephone medicine were identified. Cronbach's alpha was greater than 0.70 for all scales. One scale measured physicians' satisfaction and confidence with the management of patient calls. Other attitude scales measured the helpfulness of personal experience or informal education and the importance of formal training in telephone medicine. Three of the scales measured how comfortable the physician felt prescribing over the telephone. We used regression analysis to predict physician attitudes towards telephone medicine using the demographic, training, and system variables. Availability of the patient's chart, feeling prepared for telephone medicine by one's residency training, and being comfortable prescribing narcotics by telephone predicted satisfaction and confidence with the management of patient calls (R2 = .25).

Conclusions: Several physician attitudes regarding telephone medicine can be measured reliably. Our findings suggest that improving systems for managing patient calls and improving telephone training for physicians will improve physician satisfaction and confidence with the practice of telephone medicine.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attitude of Health Personnel*
  • Cross-Sectional Studies
  • Delivery of Health Care
  • Education, Medical, Graduate
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Internship and Residency
  • Male
  • Physicians / psychology*
  • Regression Analysis
  • Surveys and Questionnaires
  • Telemedicine*