Patient-Entered Wellness Data and Tailored Electronic Recommendations Increase Preventive Care

J Am Board Fam Med. 2017 May-Jun;30(3):350-361. doi: 10.3122/jabfm.2017.03.160231.

Abstract

Purpose: We investigated whether a tool using patient-entered wellness data to generate tailored electronic recommendations improved preventive care delivery.

Methods: We conducted a mixed-methods retrospective study of primary care encounters utilizing an Integrated Wellness Tool with a matched-comparison before-and-after study design. Encounters took place at a single clinic within the Cleveland Clinic Health System. The primary outcome was preventive orders placed. Index patients were matched, based on propensity scores, with comparison patients seen in the same clinic several months earlier.

Results: Five providers conducted 863 patient encounters using the tool during the study period. During encounters using the tool, providers placed more orders for smoking cessation programs (2.4 vs 0.5%, P < .01), lifestyle medicine (2.4 vs 0%, P < .01) and psychology (2.3 vs 1.0%, P = .04) consults, online nutrition (2.4 vs 1.4%, P = .04) and stress management (5.5 vs 0.9%, P < .01) programs, spirometry (5.9 vs 1.7%, P < .01) and polysomnography (6.3 vs 1.3%, P < .01) tests, and antidepressant (7.2 vs 3.9%, P = .01) and hypnotic (2.2 vs 0.7%, P = .01) medications when compared with matched encounters.

Conclusions: Patients are willing to enter lifestyle data, and these data influence provider orders.

Keywords: Counseling; Life Style; Preventive Medicine; Primary Health Care; Quality of Health Care; Retrospective Studies.

MeSH terms

  • Adult
  • Aged
  • Clinical Decision-Making / methods*
  • Decision Support Systems, Clinical*
  • Electronic Health Records
  • Female
  • Humans
  • Life Style
  • Male
  • Middle Aged
  • Pilot Projects
  • Preventive Health Services / methods*
  • Preventive Health Services / statistics & numerical data
  • Primary Health Care / methods*
  • Primary Health Care / statistics & numerical data
  • Qualitative Research
  • Retrospective Studies
  • Risk Assessment
  • Self Report*