Cargando…
Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design
BACKGROUND: Detailed descriptions of implementation strategies are lacking, and there is a corresponding dearth of information regarding methods employed in implementation strategy development. This paper describes methods and findings related to the alpha testing of eLearning modules developed as p...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663117/ https://www.ncbi.nlm.nih.gov/pubmed/29093826 http://dx.doi.org/10.1186/s40814-017-0187-y |
_version_ | 1783274769384210432 |
---|---|
author | Ahonen, Emily Q. Watson, Dennis P. Adams, Erin L. McGuire, Alan |
author_facet | Ahonen, Emily Q. Watson, Dennis P. Adams, Erin L. McGuire, Alan |
author_sort | Ahonen, Emily Q. |
collection | PubMed |
description | BACKGROUND: Detailed descriptions of implementation strategies are lacking, and there is a corresponding dearth of information regarding methods employed in implementation strategy development. This paper describes methods and findings related to the alpha testing of eLearning modules developed as part of the Housing First Technical Assistance and Training (HFTAT) program’s development. Alpha testing is an approach for improving the quality of a product prior to beta (i.e., real world) testing with potential applications for intervention development. METHODS: Ten participants in two cities tested the modules. We collected data through (1) a structured log where participants were asked to record their experiences as they worked through the modules; (2) a brief online questionnaire delivered at the end of each module; and (3) focus groups. RESULTS: The alpha test provided useful data related to the acceptability and feasibility of eLearning as an implementation strategy, as well as identifying a number of technical issues and bugs. Each of the qualitative methods used provided unique and valuable information. In particular, logs were the most useful for identifying technical issues, and focus groups provided high quality data regarding how the intervention could best be used as an implementation strategy. CONCLUSIONS: Alpha testing was a valuable step in intervention development, providing us an understanding of issues that would have been more difficult to address at a later stage of the study. As a result, we were able to improve the modules prior to pilot testing of the entire HFTAT. Researchers wishing to alpha test interventions prior to piloting should balance the unique benefits of different data collection approaches with the need to minimize burdens for themselves and participants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40814-017-0187-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5663117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56631172017-11-01 Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design Ahonen, Emily Q. Watson, Dennis P. Adams, Erin L. McGuire, Alan Pilot Feasibility Stud Methodology BACKGROUND: Detailed descriptions of implementation strategies are lacking, and there is a corresponding dearth of information regarding methods employed in implementation strategy development. This paper describes methods and findings related to the alpha testing of eLearning modules developed as part of the Housing First Technical Assistance and Training (HFTAT) program’s development. Alpha testing is an approach for improving the quality of a product prior to beta (i.e., real world) testing with potential applications for intervention development. METHODS: Ten participants in two cities tested the modules. We collected data through (1) a structured log where participants were asked to record their experiences as they worked through the modules; (2) a brief online questionnaire delivered at the end of each module; and (3) focus groups. RESULTS: The alpha test provided useful data related to the acceptability and feasibility of eLearning as an implementation strategy, as well as identifying a number of technical issues and bugs. Each of the qualitative methods used provided unique and valuable information. In particular, logs were the most useful for identifying technical issues, and focus groups provided high quality data regarding how the intervention could best be used as an implementation strategy. CONCLUSIONS: Alpha testing was a valuable step in intervention development, providing us an understanding of issues that would have been more difficult to address at a later stage of the study. As a result, we were able to improve the modules prior to pilot testing of the entire HFTAT. Researchers wishing to alpha test interventions prior to piloting should balance the unique benefits of different data collection approaches with the need to minimize burdens for themselves and participants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40814-017-0187-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-31 /pmc/articles/PMC5663117/ /pubmed/29093826 http://dx.doi.org/10.1186/s40814-017-0187-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Ahonen, Emily Q. Watson, Dennis P. Adams, Erin L. McGuire, Alan Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design |
title | Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design |
title_full | Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design |
title_fullStr | Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design |
title_full_unstemmed | Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design |
title_short | Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design |
title_sort | alpha test results for a housing first elearning strategy: the value of multiple qualitative methods for intervention design |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663117/ https://www.ncbi.nlm.nih.gov/pubmed/29093826 http://dx.doi.org/10.1186/s40814-017-0187-y |
work_keys_str_mv | AT ahonenemilyq alphatestresultsforahousingfirstelearningstrategythevalueofmultiplequalitativemethodsforinterventiondesign AT watsondennisp alphatestresultsforahousingfirstelearningstrategythevalueofmultiplequalitativemethodsforinterventiondesign AT adamserinl alphatestresultsforahousingfirstelearningstrategythevalueofmultiplequalitativemethodsforinterventiondesign AT mcguirealan alphatestresultsforahousingfirstelearningstrategythevalueofmultiplequalitativemethodsforinterventiondesign |