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The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions
BACKGROUND: One of the most widely used coaching models is Supportive Accountability (SA) which aims to provide intervention users with clear expectations for intervention use, regular monitoring, and a sense that coaches are trustworthy, benevolent, and have domain expertise. However, few measures...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122167/ https://www.ncbi.nlm.nih.gov/pubmed/34026568 http://dx.doi.org/10.1016/j.invent.2021.100399 |
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author | Meyerhoff, Jonah Haldar, Shefali Mohr, David C. |
author_facet | Meyerhoff, Jonah Haldar, Shefali Mohr, David C. |
author_sort | Meyerhoff, Jonah |
collection | PubMed |
description | BACKGROUND: One of the most widely used coaching models is Supportive Accountability (SA) which aims to provide intervention users with clear expectations for intervention use, regular monitoring, and a sense that coaches are trustworthy, benevolent, and have domain expertise. However, few measures exist to study the role of the SA model on coached digital interventions. We developed the Supportive Accountability Inventory (SAI) and evaluated the underlying factor structure and psychometric properties of this brief self-report measure. METHOD: Using data from a two-arm randomized trial of a remote intervention for major depressive disorder (telephone CBT [tCBT] or a stepped care model of web-based CBT [iCBT] and tCBT), we conducted an Exploratory Factor Analysis on the SAI item pool and explored the final SAI's relationship to iCBT engagement as well as to depression outcomes. Participants in our analyses (n = 52) included those randomized to a receive iCBT, but were not stepped up to tCBT due to insufficient response to iCBT, had not remitted prior to the 10-week assessment point, and completed the pool of 8 potential SAI items. RESULTS: The best fitting EFA model included only 6 items from the original pool of 8 and contained two factors: Monitoring and Expectation. Final model fit was mixed, but acceptable (χ(2)(4) = 5.24, p = 0.26; RMSR = 0.03; RMSEA = 0.091; TLI = 0.967). Internal consistency was acceptable at α = 0.68. The SAI demonstrated good convergent and divergent validity. The SAI at the 10-week/mid-treatment mark was significantly associated with the number of days of iCBT use (r = 0.29, p = .037), but, contrary to expectations, was not predictive of either PHQ-9 scores (F(2,46) = 0.14, p = .89) or QIDS-C scores (F(2,46) = 0.84, p = .44) at post-treatment. CONCLUSION: The SAI is a brief measure of the SA framework constructs. Continued development to improve the SAI and expand the constructs it assesses is necessary, but the SAI represents the first step towards a measure of a coaching protocol that can support both coached digital mental health intervention adherence and improved outcomes. |
format | Online Article Text |
id | pubmed-8122167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81221672021-05-21 The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions Meyerhoff, Jonah Haldar, Shefali Mohr, David C. Internet Interv Full length Article BACKGROUND: One of the most widely used coaching models is Supportive Accountability (SA) which aims to provide intervention users with clear expectations for intervention use, regular monitoring, and a sense that coaches are trustworthy, benevolent, and have domain expertise. However, few measures exist to study the role of the SA model on coached digital interventions. We developed the Supportive Accountability Inventory (SAI) and evaluated the underlying factor structure and psychometric properties of this brief self-report measure. METHOD: Using data from a two-arm randomized trial of a remote intervention for major depressive disorder (telephone CBT [tCBT] or a stepped care model of web-based CBT [iCBT] and tCBT), we conducted an Exploratory Factor Analysis on the SAI item pool and explored the final SAI's relationship to iCBT engagement as well as to depression outcomes. Participants in our analyses (n = 52) included those randomized to a receive iCBT, but were not stepped up to tCBT due to insufficient response to iCBT, had not remitted prior to the 10-week assessment point, and completed the pool of 8 potential SAI items. RESULTS: The best fitting EFA model included only 6 items from the original pool of 8 and contained two factors: Monitoring and Expectation. Final model fit was mixed, but acceptable (χ(2)(4) = 5.24, p = 0.26; RMSR = 0.03; RMSEA = 0.091; TLI = 0.967). Internal consistency was acceptable at α = 0.68. The SAI demonstrated good convergent and divergent validity. The SAI at the 10-week/mid-treatment mark was significantly associated with the number of days of iCBT use (r = 0.29, p = .037), but, contrary to expectations, was not predictive of either PHQ-9 scores (F(2,46) = 0.14, p = .89) or QIDS-C scores (F(2,46) = 0.84, p = .44) at post-treatment. CONCLUSION: The SAI is a brief measure of the SA framework constructs. Continued development to improve the SAI and expand the constructs it assesses is necessary, but the SAI represents the first step towards a measure of a coaching protocol that can support both coached digital mental health intervention adherence and improved outcomes. Elsevier 2021-05-04 /pmc/articles/PMC8122167/ /pubmed/34026568 http://dx.doi.org/10.1016/j.invent.2021.100399 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full length Article Meyerhoff, Jonah Haldar, Shefali Mohr, David C. The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions |
title | The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions |
title_full | The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions |
title_fullStr | The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions |
title_full_unstemmed | The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions |
title_short | The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions |
title_sort | supportive accountability inventory: psychometric properties of a measure of supportive accountability in coached digital interventions |
topic | Full length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122167/ https://www.ncbi.nlm.nih.gov/pubmed/34026568 http://dx.doi.org/10.1016/j.invent.2021.100399 |
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