Implementing eScreening technology in four VA clinics: a mixed-method study

Abstract Background Technology-based self-assessment (TB-SA) benefits patients and providers and has shown feasibility, ease of use, efficiency, and cost savings. A promising TB-SA, the VA eScreening program, has shown promise for the efficient and effective collection of mental and physical health...

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Main Authors: James O. E. Pittman, Niloofar Afari, Elizabeth Floto, Erin Almklov, Susan Conner, Borsika Rabin, Laurie Lindamer
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Health Services Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12913-019-4436-z
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spelling doaj-e626aa57803d449587558cb625ab93f22020-11-25T02:47:10ZengBMCBMC Health Services Research1472-69632019-08-0119111410.1186/s12913-019-4436-zImplementing eScreening technology in four VA clinics: a mixed-method studyJames O. E. Pittman0Niloofar Afari1Elizabeth Floto2Erin Almklov3Susan Conner4Borsika Rabin5Laurie Lindamer6VA Center of Excellence for Stress and Mental HealthVA Center of Excellence for Stress and Mental HealthVA Roseburg Health Care SystemVA Center of Excellence for Stress and Mental HealthGallup Inc.VA Center of Excellence for Stress and Mental HealthVA Center of Excellence for Stress and Mental HealthAbstract Background Technology-based self-assessment (TB-SA) benefits patients and providers and has shown feasibility, ease of use, efficiency, and cost savings. A promising TB-SA, the VA eScreening program, has shown promise for the efficient and effective collection of mental and physical health information. To assist adoption of eScreening by healthcare providers, we assessed technology-related as well as individual- and system-level factors that might influence the implementation of eScreening in four diverse VA clinics. Methods This was a mixed-method, pre-post, quasi-experimental study originally designed as a quality improvement project. The clinics were selected to represent a range of environments that could potentially benefit from TB-SA and that made use of the variety eScreening functions. Because of limited resources, the implementation strategy consisted of staff education, training, and technical support as needed. Data was collected using pre- and post-implementation interviews or focus groups of leadership and clinical staff, eScreening usage data, and post-implementation surveys. Data was gathered on: 1) usability of eScreening; 2) knowledge about and acceptability and 3) facilitators and barriers to the successful implementation of eScreening. Results Overall, staff feedback about eScreening was positive. Knowledge about eScreening ranged widely between the clinics. Nearly all staff felt eScreening would fit well into their clinical setting at pre-implementation; however some felt it was a poor fit with emergent cases and older adults at post-implementation. Lack of adequate personnel support and perceived leadership support were barriers to implementation. Adequate training and technical assistance were cited as important facilitators. One clinic fully implemented eScreening, two partially implemented, and one clinic did not implement eScreening as part of normal practice after 6 months as measured by usage data and self-report. Organizational engagement survey scores were higher among clinics with full or partial implementation and low in the clinic that did not implement. Conclusions Despite some added work load for some staff and perceived lack of leadership support, eScreening was at least partially implemented in three clinics. The technology itself posed no barriers in any of the settings. An implementation strategy that accounts for increased work burden and includes accountability may help in future eScreening implementation efforts. Note. This abstract was previously published (e.g., Annals of Behavioral Medicine 53: S1–S842, 2019).http://link.springer.com/article/10.1186/s12913-019-4436-zTechnologyHealth information technologyeScreeningImplementationVeteransMixed methods
collection DOAJ
language English
format Article
sources DOAJ
author James O. E. Pittman
Niloofar Afari
Elizabeth Floto
Erin Almklov
Susan Conner
Borsika Rabin
Laurie Lindamer
spellingShingle James O. E. Pittman
Niloofar Afari
Elizabeth Floto
Erin Almklov
Susan Conner
Borsika Rabin
Laurie Lindamer
Implementing eScreening technology in four VA clinics: a mixed-method study
BMC Health Services Research
Technology
Health information technology
eScreening
Implementation
Veterans
Mixed methods
author_facet James O. E. Pittman
Niloofar Afari
Elizabeth Floto
Erin Almklov
Susan Conner
Borsika Rabin
Laurie Lindamer
author_sort James O. E. Pittman
title Implementing eScreening technology in four VA clinics: a mixed-method study
title_short Implementing eScreening technology in four VA clinics: a mixed-method study
title_full Implementing eScreening technology in four VA clinics: a mixed-method study
title_fullStr Implementing eScreening technology in four VA clinics: a mixed-method study
title_full_unstemmed Implementing eScreening technology in four VA clinics: a mixed-method study
title_sort implementing escreening technology in four va clinics: a mixed-method study
publisher BMC
series BMC Health Services Research
issn 1472-6963
publishDate 2019-08-01
description Abstract Background Technology-based self-assessment (TB-SA) benefits patients and providers and has shown feasibility, ease of use, efficiency, and cost savings. A promising TB-SA, the VA eScreening program, has shown promise for the efficient and effective collection of mental and physical health information. To assist adoption of eScreening by healthcare providers, we assessed technology-related as well as individual- and system-level factors that might influence the implementation of eScreening in four diverse VA clinics. Methods This was a mixed-method, pre-post, quasi-experimental study originally designed as a quality improvement project. The clinics were selected to represent a range of environments that could potentially benefit from TB-SA and that made use of the variety eScreening functions. Because of limited resources, the implementation strategy consisted of staff education, training, and technical support as needed. Data was collected using pre- and post-implementation interviews or focus groups of leadership and clinical staff, eScreening usage data, and post-implementation surveys. Data was gathered on: 1) usability of eScreening; 2) knowledge about and acceptability and 3) facilitators and barriers to the successful implementation of eScreening. Results Overall, staff feedback about eScreening was positive. Knowledge about eScreening ranged widely between the clinics. Nearly all staff felt eScreening would fit well into their clinical setting at pre-implementation; however some felt it was a poor fit with emergent cases and older adults at post-implementation. Lack of adequate personnel support and perceived leadership support were barriers to implementation. Adequate training and technical assistance were cited as important facilitators. One clinic fully implemented eScreening, two partially implemented, and one clinic did not implement eScreening as part of normal practice after 6 months as measured by usage data and self-report. Organizational engagement survey scores were higher among clinics with full or partial implementation and low in the clinic that did not implement. Conclusions Despite some added work load for some staff and perceived lack of leadership support, eScreening was at least partially implemented in three clinics. The technology itself posed no barriers in any of the settings. An implementation strategy that accounts for increased work burden and includes accountability may help in future eScreening implementation efforts. Note. This abstract was previously published (e.g., Annals of Behavioral Medicine 53: S1–S842, 2019).
topic Technology
Health information technology
eScreening
Implementation
Veterans
Mixed methods
url http://link.springer.com/article/10.1186/s12913-019-4436-z
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