Scalability of an IT Intervention to Prevent Pressure Ulcers in Nursing Homes

2019 
Abstract Background Pressure ulcers pose an important quality-of-care challenge in nursing homes, with serious consequences for residents' health. We assessed the scalability of the On-Time Pressure Ulcer Prevention (On-Time) intervention strategy, developed by the Agency for Healthcare Research & Quality, in nursing homes nationwide. Intervention On-Time uses electronic health record reports to identify changes in resident pressure ulcer risk and facilitate multidisciplinary input into clinical decision making. Objective To assess the scalability and impact of On-Time on pressure ulcer incidence in nursing homes. Design We used quasi-experimental methods, employing a difference-in-differences design, to compare the pre-post trends in pressure ulcer incidence in the treatment and comparison homes. Setting and participants The study population included long-stay residents at high risk for developing pressure ulcers in 47 nursing homes and matched comparison homes in 17 states. Measures Stage 2 to 4 pressure ulcer incidence among long-stay residents who met the criteria for high risk, identified using an algorithm adapted from the Minimum Data Set 3.0 Percent of High-Risk Residents with Pressure Ulcers (Long Stay) measure. Results The overall decline in pressure ulcer rates for treatment relative to matched comparison homes was statistically insignificant (P > .05). A subgroup of heterogeneous homes experienced a statistically significant decline of 3.24 percentage points (61.0% relative decrease) in pressure ulcer rates relative to matched comparison homes, but no uniting characteristic common across homes readily explained their success. Conclusions/Implications Scalability of future health information technology–based quality improvement interventions in nursing home settings requires nuanced implementation support, particularly around electronic health record report accessibility and accuracy.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    9
    References
    2
    Citations
    NaN
    KQI
    []