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The ready access provided by telemedicine benefits families and society but might increase total healthcare utilization with uncertain implications for costs. The objective of this study was to assess the net impact on healthcare utilization of introducing into inner-city childcare a telemedicine model designed to manage acute illness. A cohort study was done using comparable periods before and after introduction of telemedicine for all qualifying children (n 112) using three innercity childcare centers. Because the utilization histories of these children differed in length, we chose child-months as the unit of analysis. Acute illness visits were ascertained for 1806 child-months among the 112 qualifying children. Following telemedicine startup, children's office and emergency department (ED) visits for illness fell by 1.73 and 0.20childyear, respectively, replaced by telemedicine visits at 1.07year. These observations could be misleading, however, because of the possibility of confounding factors. For example, the cohort aged during observation, and illness visits fall with age. Accordingly, in multivariate analysis we adjusted for season of the year, age, and within-child correlation. In this analysis, reduction in illness utilization overall tended toward an increase (rate ratio 1.26, p 0.13). The worst-case estimate (based on upper 95 confidence interval for rate ratio) for increase in illness utilization was 3.38 visitschildyear, and the most likely case was an increase of 1.26. Assuming (1) the worst-case effect (largest increase) on overall utilization and (2) reimbursement for ED, office, and telemedicine visits of $350, $45, and $45, respectively, the healthcare system would break even on telemedicine if it replaced 0.50 ED visits per child annually. [ABSTRACT FROM AUTHOR]

Over half of older adults experience polypharmacy, including medications that may be inappropriate or unnecessary. Deprescribing, which is the process of discontinuing or reducing inappropriate and/or unnecessary medications, is an effective way to reduce polypharmacy. This review summarizes (1) the process of deprescribing and conceptual models and tools that have been developed to facilitate deprescribing, (2) barriers, enablers, and factors associated with deprescribing, and (3) characteristics of deprescribing interventions in completed trials, as well as (4) implementation considerations for deprescribing in routine practice. In conceptual models of deprescribing, multilevel factors of the patient, clinician, and health-care system are all related to the efficacy of deprescribing. Numerous tools have been developed for clinicians to facilitate deprescribing, yet most require substantial time and, thus, may be difficult to implement during routine health-care encounters. Multiple deprescribing interventions have been evaluated, which mostly include one or more of the following components: patient education, medication review, identification of deprescribing targets, and patient and/or provider communication about high-risk medications. Yet, there has been limited consideration of implementation factors in prior deprescribing interventions, especially with regard to the personnel and resources in existing health-care systems and the feasibility of incorporating components of deprescribing interventions into the routine care processes of clinicians. Future trials require a more balanced consideration of both effectiveness and implementation when designing deprescribing interventions., (© 2022 The Association for the Publication of the Journal of Internal Medicine.)

Objectives: We examined visit attendance patterns in the Memphis trial of the Nurse-Family Partnership and associations between these patterns and family characteristics, outcomes, and treatment-control differences in outcomes., Methods: We employed repeated measures latent class analysis to identify attendance patterns among the 228 mothers assigned to receive home nurse visits during pregnancy and until the child was aged 2 years, associated background characteristics, outcomes, and treatment-control differences by visit class. Home visits were conducted from June 1990 to March 1994. We collected outcome data from May 1992 to April 1994 and July 2003 to December 2006., Results: We identified 3 visit attendance patterns. High attenders (48%) had the most visits and good outcomes. Low attenders (33%) had the most education and the best outcomes. Increasing attenders (18%) had the fewest completed visits during pregnancy, the poorest intake characteristics, and the poorest outcomes. Treatment-control group differences varied by class, with high and low attenders having better outcomes on some measures than did their control group counterparts., Conclusions: Three patterns were associated with distinct groups of mothers with different long-term outcomes. Further examination and use of patterns to classify mothers and prioritize resources may improve efficiency in the Nurse-Family Partnership.