Literature DB >> 24422882

Enabling patient-centered care through health information technology.

Joseph Finkelstein, Amy Knight, Spyridon Marinopoulos, M Christopher Gibbons, Zackary Berger, Hanan Aboumatar, Renee F Wilson, Brandyn D Lau, Ritu Sharma, Eric B Bass.   

Abstract

OBJECTIVES: The main objective of the report is to review the evidence on the impact of health information technology (IT) that supports patient-centered care (PCC) on: health care processes; clinical outcomes; intermediate outcomes (patient or provider satisfaction, health knowledge and behavior, and cost); responsiveness to needs and preferences of patients; shared decisionmaking and patient-clinician communication; and access to information. Additional objectives were to identify barriers and facilitators for using health IT to deliver PCC, and to identify gaps in evidence and information needed by patients, providers, payers, and policymakers. DATA SOURCES: MEDLINE®, Embase®, Cochrane Library, Scopus, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, INSPEC, and Compendex databases through July 31, 2010.
METHODS: Paired members of our team reviewed citations to identify randomized controlled trials of PCC-related health IT interventions and studies that addressed barriers and facilitators for health IT for delivery of PCC. Independent assessors rated studies for quality. Paired reviewers abstracted data.
RESULTS: The search identified 327 eligible articles, including 184 articles on the impact of health IT applications implemented to support PCC and 206 articles addressing barriers or facilitators for such health IT applications. Sixty-three articles addressed both questions. The study results suggested positive effects of PCC-related health IT interventions on health care process outcomes, disease-specific clinical outcomes (for diabetes mellitus, heart disease, cancer, and other health conditions), intermediate outcomes, responsiveness to the needs and preferences of patients, shared decisionmaking, patient-clinician communication, and access to medical information. Studies reported a number of barriers and facilitators for using health IT applications to enable PCC. Barriers included: lack of usability; problems with access to the health IT application due to older age, low income, education, cognitive impairment, and other factors; low computer literacy in patients and clinicians; insufficient basic formal training in health IT applications; physicians' concerns about more work; workflow issues; problems related to new system implementation, including concerns about confidentiality of patient information; depersonalization; incompatibility with current health care practices; lack of standardization; and problems with reimbursement. Facilitators for the utilization of health IT included ease of use, perceived usefulness, efficiency of use, availability of support, comfort in use, and site location.
CONCLUSIONS: Despite marked heterogeneity in study characteristics and quality, substantial evidence exists confirming that health IT applications with PCC-related components have a positive effect on health care outcomes. positive effect on health care outcomes.

Entities:  

Mesh:

Year:  2012        PMID: 24422882      PMCID: PMC4781073     

Source DB:  PubMed          Journal:  Evid Rep Technol Assess (Full Rep)        ISSN: 1530-4396


  37 in total

1.  Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self-care.

Authors:  Preethi Srinivas; Victor Cornet; Richard Holden
Journal:  Int J Hum Comput Interact       Date:  2016-12-29       Impact factor: 3.353

2.  Determinants of Consumer eHealth Information Seeking Behavior.

Authors:  Ryan H Sandefer; Bonnie L Westra; Saif S Khairat; David S Pieczkiewicz; Stuart M Speedie
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

3.  Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure.

Authors:  Richard J Holden; Anand Kulanthaivel; Saptarshi Purkayastha; Kathryn M Goggins; Sunil Kripalani
Journal:  Int J Med Inform       Date:  2017-10-09       Impact factor: 4.046

4.  Tablet-based disclosure counselling for HIV-infected children, adolescents, and their caregivers: a pilot study.

Authors:  Megan S McHenry; Edith Apondi; Carole I McAteer; Winstone M Nyandiko; Lydia J Fischer; Ananda R Ombitsa; Josephine Aluoch; Michael L Scanlon; Rachel C Vreeman
Journal:  Afr J AIDS Res       Date:  2018-10-14       Impact factor: 1.300

5.  Primary Care Practice Reengineering and Associations With Patient Portal Use, Service Utilization, and Disease Control Among Patients With Hypertension and/or Diabetes.

Authors:  Eboni G Price-Haywood; Qingyang Luo
Journal:  Ochsner J       Date:  2017

6.  Focus Section Health IT Usability: Applying a Task-Technology Fit Model to Adapt an Electronic Patient Portal for Patient Work.

Authors:  Sana B Ali; Juana Romero; Kevin Morrison; Baria Hafeez; Jessica S Ancker
Journal:  Appl Clin Inform       Date:  2018-03-14       Impact factor: 2.342

7.  Does Informatics Enable or Inhibit the Delivery of Patient-centred, Coordinated, and Quality-assured Care: a Delphi Study. A Contribution of the IMIA Primary Health Care Informatics Working Group.

Authors:  H Liyanage; A Correa; S-T Liaw; C Kuziemsky; A L Terry; S de Lusignan
Journal:  Yearb Med Inform       Date:  2015-06-30

8.  Parental Perceptions of Displayed Patient Data in a PICU: An Example of Unintentional Empowerment.

Authors:  Onur Asan; Matthew C Scanlon; Bradley Crotty; Richard J Holden; Kathryn E Flynn
Journal:  Pediatr Crit Care Med       Date:  2019-05       Impact factor: 3.624

9.  Machine learning approaches to personalize early prediction of asthma exacerbations.

Authors:  Joseph Finkelstein; In Cheol Jeong
Journal:  Ann N Y Acad Sci       Date:  2016-09-14       Impact factor: 5.691

10.  mHealth self-care interventions: managing symptoms following breast cancer treatment.

Authors:  Mei R Fu; Deborah Axelrod; Amber A Guth; Kavita Rampertaap; Nardin El-Shammaa; Karen Hiotis; Joan Scagliola; Gary Yu; Yao Wang
Journal:  Mhealth       Date:  2016-07-22
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