Literature DB >> 19390112

A systematic review of patient acceptance of consumer health information technology.

Calvin K L Or1, Ben-Tzion Karsh.   

Abstract

A systematic literature review was performed to identify variables promoting consumer health information technology (CHIT) acceptance among patients. The electronic bibliographic databases Web of Science, Business Source Elite, CINAHL, Communication and Mass Media Complete, MEDLINE, PsycArticles, and PsycInfo were searched. A cited reference search of articles meeting the inclusion criteria was also conducted to reduce misses. Fifty-two articles met the selection criteria. Among them, 94 different variables were tested for associations with acceptance. Most of those tested (71%) were patient factors, including sociodemographic characteristics, health- and treatment-related variables, and prior experience or exposure to computer/health technology. Only ten variables were related to human-technology interaction; 16 were organizational factors; and one was related to the environment. In total, 62 (66%) were found to predict acceptance in at least one study. Existing literature focused largely on patient-related factors. No studies examined the impact of social and task factors on acceptance, and few tested the effects of organizational or environmental factors on acceptance. Future research guided by technology acceptance theories should fill those gaps to improve our understanding of patient CHIT acceptance, which in turn could lead to better CHIT design and implementation.

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Year:  2009        PMID: 19390112      PMCID: PMC2705259          DOI: 10.1197/jamia.M2888

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  92 in total

1.  Modeling computer interest in older adults: the role of age, education, computer knowledge, and computer anxiety.

Authors:  D Ellis; J C Allaire
Journal:  Hum Factors       Date:  1999-09       Impact factor: 2.888

2.  Impact of a patient-centered, computer-based health information/support system.

Authors:  D H Gustafson; R Hawkins; E Boberg; S Pingree; R E Serlin; F Graziano; C L Chan
Journal:  Am J Prev Med       Date:  1999-01       Impact factor: 5.043

3.  Internet usage among women with breast cancer: an exploratory study.

Authors:  J L Pereira; S Koski; J Hanson; E D Bruera; J R Mackey
Journal:  Clin Breast Cancer       Date:  2000-07       Impact factor: 3.225

4.  Patient empowerment. Results of a randomized controlled trial.

Authors:  R M Anderson; M M Funnell; P M Butler; M S Arnold; J T Fitzgerald; C C Feste
Journal:  Diabetes Care       Date:  1995-07       Impact factor: 19.112

5.  Feasibility and patients' acceptance of Home Automated Telemanagement of oral anticoagulation therapy.

Authors:  J Finkelstein; R Khare; J Ansell
Journal:  AMIA Annu Symp Proc       Date:  2003

6.  Internet use by patients in an inflammatory bowel disease specialty clinic.

Authors:  Robert R Cima; Kari J Anderson; David W Larson; Eric J Dozois; Imran Hassan; William J Sandborn; Edward V Loftus; John H Pemberton
Journal:  Inflamm Bowel Dis       Date:  2007-10       Impact factor: 5.325

Review 7.  A systematic review of telemonitoring for the management of heart failure.

Authors:  Amala A Louis; Tracy Turner; Marcia Gretton; Angela Baksh; John G F Cleland
Journal:  Eur J Heart Fail       Date:  2003-10       Impact factor: 15.534

8.  Computer-based education for patients with chronic heart failure. A randomised, controlled, multicentre trial of the effects on knowledge, compliance and quality of life.

Authors:  Anna Strömberg; Ulf Dahlström; Bengt Fridlund
Journal:  Patient Educ Couns       Date:  2006-02-15

9.  Age differences in attitudes toward computers.

Authors:  S J Czaja; J Sharit
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1998-09       Impact factor: 4.077

10.  Use of the Internet by patients before and after cardiac surgery: telephone survey.

Authors:  M Murero; G D'Ancona; H Karamanoukian
Journal:  J Med Internet Res       Date:  2001 Jul-Sep       Impact factor: 5.428

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  148 in total

1.  Service design attributes affecting diabetic patient preferences of telemedicine in South Korea.

Authors:  Hayoung Park; Yucheong Chon; Jongsu Lee; Ie-Jung Choi; Kun-Ho Yoon
Journal:  Telemed J E Health       Date:  2011-06-01       Impact factor: 3.536

2.  Preferences for technology versus human assistance and control over technology in the performance of kitchen and personal care tasks in baby boomers and older adults.

Authors:  Scott R Beach; Richard Schulz; Judith T Matthews; Karen Courtney; Annette DeVito Dabbs
Journal:  Disabil Rehabil Assist Technol       Date:  2013-09-02

Review 3.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.

Authors:  Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn
Journal:  Circulation       Date:  2015-08-13       Impact factor: 29.690

4.  Trust between patients and health websites: a review of the literature and derived outcomes from empirical studies.

Authors:  Laurian C Vega; Enid Montague; Tom Dehart
Journal:  Health Technol (Berl)       Date:  2011-11-18

Review 5.  Telemedicine and prostate cancer survivorship: a narrative review.

Authors:  Nnenaya Q Agochukwu; Ted A Skolarus; Daniela Wittmann
Journal:  Mhealth       Date:  2018-10-08

6.  The digital health divide: evaluating online health information access and use among older adults.

Authors:  Amanda K Hall; Jay M Bernhardt; Virginia Dodd; Morgan W Vollrath
Journal:  Health Educ Behav       Date:  2014-08-25

7.  Using scenarios and personas to enhance the effectiveness of heuristic usability evaluations for older adults and their care team.

Authors:  Laura Kneale; Sean Mikles; Yong K Choi; Hilaire Thompson; George Demiris
Journal:  J Biomed Inform       Date:  2017-07-27       Impact factor: 6.317

8.  Using Digital Technology to Engage and Communicate with Patients: A Survey of Patient Attitudes.

Authors:  Brian P Jenssen; Nandita Mitra; Anand Shah; Fei Wan; David Grande
Journal:  J Gen Intern Med       Date:  2016-01       Impact factor: 5.128

9.  Using mobile health technology to deliver decision support for self-monitoring after lung transplantation.

Authors:  Yun Jiang; Susan M Sereika; Annette DeVito Dabbs; Steven M Handler; Elizabeth A Schlenk
Journal:  Int J Med Inform       Date:  2016-07-19       Impact factor: 4.046

10.  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

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