Robinson SA, Bamonti P, Richardson CR, Kadri R, Moy ML. Rural disparities impact response to a web-based physical activity self-management intervention in COPD: A secondary analysis.
J Rural Health 2024;
40:140-150. [PMID:
37166231 DOI:
10.1111/jrh.12765]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 04/04/2023] [Accepted: 04/16/2023] [Indexed: 05/12/2023]
Abstract
PURPOSE
This secondary exploratory analysis examined rural-urban differences in response to a web-based physical activity self-management intervention for chronic obstructive pulmonary disease (COPD).
METHODS
Participants with COPD (N = 239 US Veterans) were randomized to either a multicomponent web-based intervention (goal setting, iterative feedback of daily step counts, motivational and educational information, and an online community forum) or waitlist-control for 4 months with a 12-month follow-up. General linear modeling estimated the impact of rural/urban status (using Rural-Urban Commuting Area [RUCA] codes) on (1) 4- and 12-month daily step-count change compared to waitlist-control, and (2) intervention engagement (weekly logons and participant feedback).
FINDINGS
Rural (n = 108) and urban (n = 131) participants' mean age was 66.7±8.8 years. Rural/urban status significantly moderated 4-month change in daily step counts between randomization groups (p = 0.041). Specifically, among urban participants, intervention participants improved by 1500 daily steps more than waitlist-control participants (p = 0.001). There was no difference among rural participants. In the intervention group, rural participants engaged less with the step-count graphs on the website than urban participants at 4 months (p = 0.019); this difference dissipated at 12 months. More frequent logons were associated with greater change in daily step counts (p = 0.004); this association was not moderated by rural/urban status.
CONCLUSIONS
The web-based intervention was effective for urban, but not rural, participants at 4 months. Rural participants were also less engaged at 4 months, which may explain differences in effectiveness. Technology-based interventions can help address urban-rural disparities in patients with COPD, but may also contribute to them unless resources are available to support engagement with the technology.
Collapse