Literature DB >> 29602438

Physicians' perceptions of the impact of the EHR on the collection and retrieval of psychosocial information in outpatient diabetes care.

Charles Senteio1, Tiffany Veinot2, Julia Adler-Milstein3, Caroline Richardson4.   

Abstract

BACKGROUND: Psychosocial information informs clinical decisions by providing crucial context for patients' barriers to recommended self-care; this is especially important in outpatient diabetes care because outcomes are largely dependent upon self-care behavior. Little is known about provider perceptions of use of psychosocial information. Further, while EHRs have dramatically changed how providers interact with patient health information, the EHRs' role in collection and retrieval of psychosocial information is not understood.
METHODS: We designed a qualitative study. We used semi-structured interviews to investigate physicians' (N = 17) perspectives on the impact of EHR for psychosocial information use for outpatient Type II diabetes care decisions. We selected the constant comparative method to analyze the data.
FINDINGS: Psychosocial information is perceived as dissimilar from other clinical information such as HbA1c and prescribed medications. Its narrative form conveys the patient's story, which elucidates barriers to following self-care recommendations. The narrative is abstract, and requires interpretation of patterns. Psychosocial information is also circumstantial; hence, the patients' context determines influence on self-care. Furthermore, EHRs can impair the collection of psychosocial information because the designs of EHR tools make it difficult to document, search for, and retrieve it. Templates do not enable users from collecting the patient's 'story', and using free text fields is time consuming. Providers therefore had low use of, and confidence in, the accuracy of psychosocial information in the EHR. PRINCIPAL
CONCLUSIONS: Workflows and EHR tools should be re-designed to better support psychosocial information collection and retrieval. Tools should enable recording and summarization of the patient's story, and the rationale for treatment decisions.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diabetes; Electronic health records; Health informatics; Outpatient care; Social determinants

Mesh:

Year:  2018        PMID: 29602438     DOI: 10.1016/j.ijmedinf.2018.02.003

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  9 in total

1.  Electronic Health Record Documentation Patterns of Recorded Primary Care Visits Focused on Complex Communication: A Qualitative Study.

Authors:  Laura Prater; Anthony Sanchez; Gabriella Modan; Jennifer Burgess; Kim Frier; Nathan Richards; Seuli Bose-Brill
Journal:  Appl Clin Inform       Date:  2019-04-10       Impact factor: 2.342

2.  More than a Database: Understanding Community Resource Referrals within a Socio-Technical Systems Framework.

Authors:  Bradley E Iott; Cassandra Eddy; Cristian Casanova; Tiffany C Veinot
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

3.  Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs.

Authors:  Deborah J Cohen; Tamar Wyte-Lake; David A Dorr; Rachel Gold; Richard J Holden; Richelle J Koopman; Joshua Colasurdo; Nathaniel Warren
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

4.  Psychosocial information use for clinical decisions in diabetes care.

Authors:  Charles Senteio; Julia Adler-Milstein; Caroline Richardson; Tiffany Veinot
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

5.  Factors Affecting Willingness on Sharing of Electronic Health Records Data: A Survey on Chinese Residents.

Authors:  Ying He; Qiu He; Lun Li; Weihong Wang; Wenting Zha; Qian Liu
Journal:  J Oncol       Date:  2022-07-11       Impact factor: 4.501

6.  Supporting quality care for ESRD patients: the social worker can help address barriers to advance care planning.

Authors:  Charles R Senteio; Mary Beth Callahan
Journal:  BMC Nephrol       Date:  2020-02-19       Impact factor: 2.388

7.  Barriers and Facilitators for Implementation of a Computerized Clinical Decision Support System in Lung Cancer Multidisciplinary Team Meetings-A Qualitative Assessment.

Authors:  Sosse E Klarenbeek; Olga C J Schuurbiers-Siebers; Michel M van den Heuvel; Mathias Prokop; Marcia Tummers
Journal:  Biology (Basel)       Date:  2020-12-25

8.  Low-cost insulin for socially at-risk patients: evidence for effectiveness.

Authors:  Alexandra M Mapp; LeRoi S Hicks; Jennifer N Goldstein
Journal:  Am J Manag Care       Date:  2021-06       Impact factor: 2.229

9.  Health informatics interventions to minimize out-of-pocket medication costs for patients: what providers want.

Authors:  Karalyn A Kiessling; Bradley E Iott; Jessica A Pater; Tammy R Toscos; Shauna R Wagner; Laura M Gottlieb; Tiffany C Veinot
Journal:  JAMIA Open       Date:  2022-02-24
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.