Cargando…
Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study
BACKGROUND: Despite the well-known adverse health conditions and negative economic outcomes associated with mental health problems, accessing treatment is difficult due to reasons such as availability and cost. As a solution, digital mental health services have flooded the industry, and new studies...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308074/ https://www.ncbi.nlm.nih.gov/pubmed/35802408 http://dx.doi.org/10.2196/35352 |
_version_ | 1784752908367036416 |
---|---|
author | Shih, Emily Aylward, Brandon S Kunkle, Sarah Graziani, Grant |
author_facet | Shih, Emily Aylward, Brandon S Kunkle, Sarah Graziani, Grant |
author_sort | Shih, Emily |
collection | PubMed |
description | BACKGROUND: Despite the well-known adverse health conditions and negative economic outcomes associated with mental health problems, accessing treatment is difficult due to reasons such as availability and cost. As a solution, digital mental health services have flooded the industry, and new studies are quickly emerging that support their potential as an accessible and cost-effective way to improve mental health outcomes. However, many mental health platforms typically use clinical tools such as the Patient Health Questionnaire-9 (PHQ-9) or General Anxiety Disorder-7 (GAD-7). Yet, many individuals that seek out care do not have clinical symptomatology and thus, traditional clinical measures may not adequately capture symptom improvement in general well-being. As an alternative, this study used the health-related quality of life (HRQoL) tool from the Centers for Disease Control and Prevention “Healthy Days” measure. This subjective measure of well-being is an effective way to capture HRQoL and might be better suited as an outcome measure for treatments that include both clinical and subclinical individuals. OBJECTIVE: The purpose of this study was to describe changes in HRQoL in clinical and subclinical members assessing virtual care and to examine the association between text-based behavioral coaching and virtual clinical sessions with changes in HRQoL. METHODS: A total of 288 members completed the 4-item HRQoL measure at baseline and at 1 month following use of the Ginger on demand behavioral health platform. Baseline anxiety and depression levels were collected using the GAD-7 and PHQ-9, respectively. RESULTS: Members completed on average 1.92 (SD 2.16) coaching sessions and 0.91 (SD 1.37) clinical sessions during the assessment month. Paired samples t tests revealed significant reductions in the average number of unhealthy mental health days between baseline (mean 16, SD 8.77 days) and follow-up (mean 13.2, SD 9.02 days; t(287)=5.73; P<.001), and in the average number of days adversely impacted (mean(baseline) 10.9, mean(follow-up) 8.19; t(287)=6.26; P<.001). Both subclinical members (t(103)=3.04; P=.003) and clinical members (t(183)=5.5; P<.001) demonstrated significant improvements through reductions in adversely impacted days over a month. Clinical members also demonstrated significant improvements through reductions in unhealthy mental health days (t(183)=5.82; P<.001). Finally, member engagement with virtual clinical sessions significantly predicted changes in unhealthy mental health days (B=–0.96; P=.04). CONCLUSIONS: To our knowledge, this study is one of the first to use the HRQoL measure as an outcome in an evaluation of a digital behavioral health platform. Using real-world longitudinal data, our preliminary yet promising results show that short-term engagement with virtual care can be an effective means to improve HRQoL for members with subclinical and clinical symptoms. Further follow-up of reported HRQoL over several months is needed. |
format | Online Article Text |
id | pubmed-9308074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93080742022-07-24 Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study Shih, Emily Aylward, Brandon S Kunkle, Sarah Graziani, Grant JMIR Form Res Original Paper BACKGROUND: Despite the well-known adverse health conditions and negative economic outcomes associated with mental health problems, accessing treatment is difficult due to reasons such as availability and cost. As a solution, digital mental health services have flooded the industry, and new studies are quickly emerging that support their potential as an accessible and cost-effective way to improve mental health outcomes. However, many mental health platforms typically use clinical tools such as the Patient Health Questionnaire-9 (PHQ-9) or General Anxiety Disorder-7 (GAD-7). Yet, many individuals that seek out care do not have clinical symptomatology and thus, traditional clinical measures may not adequately capture symptom improvement in general well-being. As an alternative, this study used the health-related quality of life (HRQoL) tool from the Centers for Disease Control and Prevention “Healthy Days” measure. This subjective measure of well-being is an effective way to capture HRQoL and might be better suited as an outcome measure for treatments that include both clinical and subclinical individuals. OBJECTIVE: The purpose of this study was to describe changes in HRQoL in clinical and subclinical members assessing virtual care and to examine the association between text-based behavioral coaching and virtual clinical sessions with changes in HRQoL. METHODS: A total of 288 members completed the 4-item HRQoL measure at baseline and at 1 month following use of the Ginger on demand behavioral health platform. Baseline anxiety and depression levels were collected using the GAD-7 and PHQ-9, respectively. RESULTS: Members completed on average 1.92 (SD 2.16) coaching sessions and 0.91 (SD 1.37) clinical sessions during the assessment month. Paired samples t tests revealed significant reductions in the average number of unhealthy mental health days between baseline (mean 16, SD 8.77 days) and follow-up (mean 13.2, SD 9.02 days; t(287)=5.73; P<.001), and in the average number of days adversely impacted (mean(baseline) 10.9, mean(follow-up) 8.19; t(287)=6.26; P<.001). Both subclinical members (t(103)=3.04; P=.003) and clinical members (t(183)=5.5; P<.001) demonstrated significant improvements through reductions in adversely impacted days over a month. Clinical members also demonstrated significant improvements through reductions in unhealthy mental health days (t(183)=5.82; P<.001). Finally, member engagement with virtual clinical sessions significantly predicted changes in unhealthy mental health days (B=–0.96; P=.04). CONCLUSIONS: To our knowledge, this study is one of the first to use the HRQoL measure as an outcome in an evaluation of a digital behavioral health platform. Using real-world longitudinal data, our preliminary yet promising results show that short-term engagement with virtual care can be an effective means to improve HRQoL for members with subclinical and clinical symptoms. Further follow-up of reported HRQoL over several months is needed. JMIR Publications 2022-07-08 /pmc/articles/PMC9308074/ /pubmed/35802408 http://dx.doi.org/10.2196/35352 Text en ©Emily Shih, Brandon S Aylward, Sarah Kunkle, Grant Graziani. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.07.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Shih, Emily Aylward, Brandon S Kunkle, Sarah Graziani, Grant Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study |
title | Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study |
title_full | Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study |
title_fullStr | Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study |
title_full_unstemmed | Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study |
title_short | Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study |
title_sort | health-related quality of life among members using an on demand behavioral health platform: pilot observational study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308074/ https://www.ncbi.nlm.nih.gov/pubmed/35802408 http://dx.doi.org/10.2196/35352 |
work_keys_str_mv | AT shihemily healthrelatedqualityoflifeamongmembersusinganondemandbehavioralhealthplatformpilotobservationalstudy AT aylwardbrandons healthrelatedqualityoflifeamongmembersusinganondemandbehavioralhealthplatformpilotobservationalstudy AT kunklesarah healthrelatedqualityoflifeamongmembersusinganondemandbehavioralhealthplatformpilotobservationalstudy AT grazianigrant healthrelatedqualityoflifeamongmembersusinganondemandbehavioralhealthplatformpilotobservationalstudy |