Adoption of Remote Patient Monitoring for Chronic Disease Management in US Hospitals
Abstract
Background: Remote patient monitoring (RPM) is a form of telehealth that improves the quality of care for chronic disease treatment and reduces hospital readmission rates, length of stay, care costs, and mortality rates. Using data obtained from RPM, healthcare providers can further assess the health of the patient and implement additional modifications to the patient’s treatment plan. Despite the potential benefits of telemonitoring approaches in healthcare, the adoption of such technology remains limited in many healthcare settings.
Objectives: Using the resource dependency theory as a theoretical framework, this study aimed to examine the association between hospital characteristics and hospital adoption of telehealth remote patient monitoring for chronic care management.
Methods: This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's (AHA) Annual Survey (2021). The AHA survey was linked to data from the County Health Rankings (2021) to obtain market characteristics. Binary logistic regression was applied to assess hospital organizational and market characteristics as determinants of hospital adoption of telehealth remote patient monitoring for chronic care management.
Results: Full-time staff-to-bed ratio, ACO membership, and for-profit status as measures of munificence and interdependence were significant predictors in the model. Full-time staff-to-bed ratio (OR = 1.03, 95% CI = 1.01-1.04), and ACO membership were statistically significant and positively correlated with the adoption of RPM. For-profit status (OR = 0.15, 95% CI = 0.11-0.21) was statistically significant and negatively correlated with the adoption of RPM.
Conclusion: The findings from this study suggest that hospital characteristics are associated with remote patient monitoring. The results indicate that the adoption of telehealth remote patient monitoring for chronic care management may be a contextual organizational decision driven by munificence and organizational interdependence, as posited by the resource dependence theory.
Keywords
Remote Patient Monitoring, Chronic Care Management, Telehealth, Resource Dependence Theory
Adoption of Remote Patient Monitoring for Chronic Disease Management in US Hospitals
Background: Remote patient monitoring (RPM) is a form of telehealth that improves the quality of care for chronic disease treatment and reduces hospital readmission rates, length of stay, care costs, and mortality rates. Using data obtained from RPM, healthcare providers can further assess the health of the patient and implement additional modifications to the patient’s treatment plan. Despite the potential benefits of telemonitoring approaches in healthcare, the adoption of such technology remains limited in many healthcare settings.
Objectives: Using the resource dependency theory as a theoretical framework, this study aimed to examine the association between hospital characteristics and hospital adoption of telehealth remote patient monitoring for chronic care management.
Methods: This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's (AHA) Annual Survey (2021). The AHA survey was linked to data from the County Health Rankings (2021) to obtain market characteristics. Binary logistic regression was applied to assess hospital organizational and market characteristics as determinants of hospital adoption of telehealth remote patient monitoring for chronic care management.
Results: Full-time staff-to-bed ratio, ACO membership, and for-profit status as measures of munificence and interdependence were significant predictors in the model. Full-time staff-to-bed ratio (OR = 1.03, 95% CI = 1.01-1.04), and ACO membership were statistically significant and positively correlated with the adoption of RPM. For-profit status (OR = 0.15, 95% CI = 0.11-0.21) was statistically significant and negatively correlated with the adoption of RPM.
Conclusion: The findings from this study suggest that hospital characteristics are associated with remote patient monitoring. The results indicate that the adoption of telehealth remote patient monitoring for chronic care management may be a contextual organizational decision driven by munificence and organizational interdependence, as posited by the resource dependence theory.
