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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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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