Objectives: To examine nurse-supported interventions on sustained mobile health (mHealth) engagement and identify predictors of long-term use in community-dwelling older adults.
Design: Explanatory sequential mixed methods.
Setting and participants: Twelve clinical sites in Liaoning, China (March 2023 to February 2024). Included 1532 participants (quantitative); 32 for qualitative interviews.
Methods: Quantitative: XGBoost machine learning on longitudinal behavioral data. Qualitative: Thematic analysis of in-depth interviews. Integration via joint display.
Results: Morning (8-10 am) notification responsiveness was the strongest retention predictor (mean SHapley Additive exPlanations = 0.34). "Digital companionship" emerged qualitatively (58% anthropomorphized features; χ2 = 9.32, P = .002). Nurse mediation increased data-sharing willingness by 16% vs commercial platforms (P < .001); 89% of high-adherence users valued clinical integration (P < .001).
Conclusions and implications: Nurse support enhances engagement via optimized timing, trust, and integration. Implement nurse-led coaching, electronic health record integration, and supportive reimbursement. Future studies should assess long-term outcomes and cross-cultural applicability.
Objectives: To examine the association between receipt of psychotherapy and behavior reduction among long-stay nursing home residents with Alzheimer's disease and related dementias (ADRD).
Design: Retrospective cohort study using Minimum Data Set assessments linked to Medicare: Master Beneficiary Summary File, Part B Carrier, and Part D Event file (2017-2018).
Setting and participants: All US Medicare- or Medicaid-certified nursing homes. Traditional Medicare beneficiaries enrolled in Medicare Parts B and D, aged ≥65 with ADRD and any problematic behaviors (physical, verbal, or other), stratified to residents with both ADRD and co-occurring psychiatric disorders, and ADRD only.
Methods: The unit of analysis was 2 consecutive quarters with indication of a problematic behavior in the first. Outcomes were reductions in any, physical, verbal, or other behaviors. The treatment was receipt of psychotherapy in both quarters vs neither. Covariates included predisposing, enabling, and need factors. Propensity score weighting balanced resident characteristics, and generalized estimating equation logistic models were applied.
Results: The cohort included 175,165 resident-quarter observations from 99,584 unique long-stay residents with ADRD and problematic behaviors. Psychotherapy was received in 9% of observations, most often in short (73%), quarterly (59%), or monthly (35%) sessions delivered by psychologists (56%) or social workers (34%). After weighting, psychotherapy was associated with greater likelihood of behavior reduction (ADRD + psychiatric disorders: 17%, P < .01; ADRD only: 33%, P < .05). In ADRD-only residents, psychotherapy was associated with 36% reduction in physical behaviors and 28% in verbal behaviors. In those with ADRD + psychiatric disorders, reductions were seen in physical (31%) and other behaviors (18%).
Conclusions and implications: Fewer than 10% of nursing home residents with ADRD and problematic behaviors received psychotherapy, yet its receipt was significantly associated with behavior reduction. Findings underscore the need to expand access to psychotherapy in nursing homes and to further investigate the psychotherapy characteristics that contribute to effectiveness.

