Cargando…
Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study
BACKGROUND: Heart failure (HF) is associated with high rates of hospitalizations, morbidity, mortality, and costs. Remote patient monitoring (mobile health, mHealth) shows promise in improving self-care and HF management, thus increasing quality of care while reducing hospitalizations and costs; how...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715011/ https://www.ncbi.nlm.nih.gov/pubmed/31518257 http://dx.doi.org/10.2196/12178 |
_version_ | 1783447161825918976 |
---|---|
author | Lefler, Leanne L Rhoads, Sarah J Harris, Melodee Funderburg, Ashley E Lubin, Sandra A Martel, Isis D Faulkner, Jennifer L Rooker, Janet L Bell, Deborah K Marshall, Heather Beverly, Claudia J |
author_facet | Lefler, Leanne L Rhoads, Sarah J Harris, Melodee Funderburg, Ashley E Lubin, Sandra A Martel, Isis D Faulkner, Jennifer L Rooker, Janet L Bell, Deborah K Marshall, Heather Beverly, Claudia J |
author_sort | Lefler, Leanne L |
collection | PubMed |
description | BACKGROUND: Heart failure (HF) is associated with high rates of hospitalizations, morbidity, mortality, and costs. Remote patient monitoring (mobile health, mHealth) shows promise in improving self-care and HF management, thus increasing quality of care while reducing hospitalizations and costs; however, limited information exists regarding perceptions of older adults with HF about mHealth use. OBJECTIVE: This study aimed to compare perspectives of older adults with HF who were randomized to either (1) mHealth equipment connected to a 24-hour call center, (2) digital home equipment, or (3) standard care, with regard to ease and satisfaction with equipment, provider communication and engagement, and ability to self-monitor and manage their disease. METHODS: We performed a pilot study using a mixed-methods descriptive design with pre- and postsurveys, following participants for 12 weeks. We augmented these data with semistructured qualitative interviews to learn more about feasibility, satisfaction, communication, and self-management. RESULTS: We enrolled 28 patients with HF aged 55 years and above, with 57% (16/28) male, 79% (22/28) non-Hispanic white, and with multiple comorbid conditions. At baseline, 50% (14/28) rated their health fair or poor and 36% (10/28) and 25% (7/28) were very often/always frustrated and discouraged by their health. At baseline, 46% (13/28) did not monitor their weight, 29% (8/28) did not monitor their blood pressure, and 68% (19/28) did not monitor for symptoms. Post intervention, 100% of the equipment groups home monitored daily. For technology anxiety, 36% (10/28) indicated technology made them nervous, and 32% (9/28) reported fear of technology, without significant changes post intervention. Technology usability post intervention scored high (91/100), reflecting ease of use. A majority indicated that a health care provider should be managing their health, and 71% reported that one should trust and not question the provider. Moreover, 57% (16/28) believed it was better to seek professional help than caring for oneself. Post intervention, mHealth users relied more on themselves, which was not mirrored in the home equipment or standard care groups. Participants were satisfied with communication and engagement with providers, yet many described access problems. Distressing symptoms were unpredictable and prevailed over the 12 weeks with 79 provider visits and 7 visits to emergency departments. The nurse call center received 872 readings, and we completed 289 telephone calls with participants. Narrative data revealed the following main themes: (1) traditional communication and engagement with providers prevailed, delaying access to care; (2) home monitoring with technology was described as useful, and mHealth users felt secure knowing that someone was observing them; (3) equipment groups felt more confident in self-monitoring and managing; and finally, (4) uncertainty and frustration with persistent health problems. CONCLUSIONS: mHealth equipment is feasible with potential to improve patient-centered outcomes and increase self-management in older adults with HF. |
format | Online Article Text |
id | pubmed-6715011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67150112019-09-17 Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study Lefler, Leanne L Rhoads, Sarah J Harris, Melodee Funderburg, Ashley E Lubin, Sandra A Martel, Isis D Faulkner, Jennifer L Rooker, Janet L Bell, Deborah K Marshall, Heather Beverly, Claudia J JMIR Aging Original Paper BACKGROUND: Heart failure (HF) is associated with high rates of hospitalizations, morbidity, mortality, and costs. Remote patient monitoring (mobile health, mHealth) shows promise in improving self-care and HF management, thus increasing quality of care while reducing hospitalizations and costs; however, limited information exists regarding perceptions of older adults with HF about mHealth use. OBJECTIVE: This study aimed to compare perspectives of older adults with HF who were randomized to either (1) mHealth equipment connected to a 24-hour call center, (2) digital home equipment, or (3) standard care, with regard to ease and satisfaction with equipment, provider communication and engagement, and ability to self-monitor and manage their disease. METHODS: We performed a pilot study using a mixed-methods descriptive design with pre- and postsurveys, following participants for 12 weeks. We augmented these data with semistructured qualitative interviews to learn more about feasibility, satisfaction, communication, and self-management. RESULTS: We enrolled 28 patients with HF aged 55 years and above, with 57% (16/28) male, 79% (22/28) non-Hispanic white, and with multiple comorbid conditions. At baseline, 50% (14/28) rated their health fair or poor and 36% (10/28) and 25% (7/28) were very often/always frustrated and discouraged by their health. At baseline, 46% (13/28) did not monitor their weight, 29% (8/28) did not monitor their blood pressure, and 68% (19/28) did not monitor for symptoms. Post intervention, 100% of the equipment groups home monitored daily. For technology anxiety, 36% (10/28) indicated technology made them nervous, and 32% (9/28) reported fear of technology, without significant changes post intervention. Technology usability post intervention scored high (91/100), reflecting ease of use. A majority indicated that a health care provider should be managing their health, and 71% reported that one should trust and not question the provider. Moreover, 57% (16/28) believed it was better to seek professional help than caring for oneself. Post intervention, mHealth users relied more on themselves, which was not mirrored in the home equipment or standard care groups. Participants were satisfied with communication and engagement with providers, yet many described access problems. Distressing symptoms were unpredictable and prevailed over the 12 weeks with 79 provider visits and 7 visits to emergency departments. The nurse call center received 872 readings, and we completed 289 telephone calls with participants. Narrative data revealed the following main themes: (1) traditional communication and engagement with providers prevailed, delaying access to care; (2) home monitoring with technology was described as useful, and mHealth users felt secure knowing that someone was observing them; (3) equipment groups felt more confident in self-monitoring and managing; and finally, (4) uncertainty and frustration with persistent health problems. CONCLUSIONS: mHealth equipment is feasible with potential to improve patient-centered outcomes and increase self-management in older adults with HF. JMIR Publications 2018-12-04 /pmc/articles/PMC6715011/ /pubmed/31518257 http://dx.doi.org/10.2196/12178 Text en ©Leanne L Lefler, Sarah J Rhoads, Melodee Harris, Ashley E Funderburg, Sandra A Lubin, Isis D Martel, Jennifer L Faulkner, Janet L Rooker, Deborah K Bell, Heather Marshall, Claudia J Beverly. Originally published in JMIR Aging (http://aging.jmir.org), 04.12.2018. 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 Aging, is properly cited. The complete bibliographic information, a link to the original publication on http://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Lefler, Leanne L Rhoads, Sarah J Harris, Melodee Funderburg, Ashley E Lubin, Sandra A Martel, Isis D Faulkner, Jennifer L Rooker, Janet L Bell, Deborah K Marshall, Heather Beverly, Claudia J Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study |
title | Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study |
title_full | Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study |
title_fullStr | Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study |
title_full_unstemmed | Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study |
title_short | Evaluating the Use of Mobile Health Technology in Older Adults With Heart Failure: Mixed-Methods Study |
title_sort | evaluating the use of mobile health technology in older adults with heart failure: mixed-methods study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715011/ https://www.ncbi.nlm.nih.gov/pubmed/31518257 http://dx.doi.org/10.2196/12178 |
work_keys_str_mv | AT leflerleannel evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT rhoadssarahj evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT harrismelodee evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT funderburgashleye evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT lubinsandraa evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT martelisisd evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT faulknerjenniferl evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT rookerjanetl evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT belldeborahk evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT marshallheather evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy AT beverlyclaudiaj evaluatingtheuseofmobilehealthtechnologyinolderadultswithheartfailuremixedmethodsstudy |