Patient Interest in Receiving Assistance with Self-Reported Social Risks.

OBJECTIVES: This study evaluated how often patients who reported social risk factors requested assistance with these risks in an integrated health system. METHODS: We examined how self-reports of risk related to stated desire for help with that risk reported during social risk screenings at Kaiser Permanente Northwest (KPNW). We examined how patient characteristics were associated with desire for help with each social risk domain using logistic regression. RESULTS: Approximately 24% (n = 7,807) of the 32,865 KPNW members aged ≥ 18 years who were screened between June 1, 2017, and December 31, 2019, reported at least 1 social risk. More than half of patients who reported a risk were risk/help concordant (i.e., they also wanted help with that risk). The highest concordance (81.7%) was observed among patients reporting medical financial hardship. Several demographic, health, and other factors were associated with concordance across domains. CONCLUSIONS: Patients do not request assistance for all reported social needs. Our findings could help shape future work examining patients' reasons for not accepting assistance and developing interventions to help patients with high social risk more effectively.

Feasibility and impact of implementing a private care system's diabetes quality improvement intervention in the safety net: a cluster-randomized trial.

BACKGROUND: Integrated health care delivery systems devote considerable resources to developing quality improvement (QI) interventions. Clinics serving vulnerable populations rarely have the resources for such development but might benefit greatly from implementing approaches shown to be effective in other settings. Little trial-based research has assessed the feasibility and impact of such cross-setting translation and implementation in community health centers (CHCs). We hypothesized that it would be feasible to implement successful QI interventions from integrated care settings in CHCs and would positively impact the CHCs. METHODS: We adapted Kaiser Permanente's successful intervention, which targets guideline-based cardioprotective prescribing for patients with diabetes mellitus (DM), through an iterative, stakeholder-driven process. We then conducted a cluster-randomized pragmatic trial in 11 CHCs in a staggered process with six "early" CHCs implementing the intervention one year before five "'late" CHCs. We measured monthly rates of patients with DM currently prescribed angiotensin converting enzyme (ACE)-inhibitors/statins, if clinically indicated. Through segmented regression analysis, we evaluated the intervention's effects in June 2011-May 2013. Participants included ~6500 adult CHC patients with DM who were indicated for statins/ACE-inhibitors per national guidelines. RESULTS: Implementation of the intervention in the CHCs was feasible, with setting-specific adaptations. One year post-implementation, in the early clinics, there were estimated relative increases in guideline-concordant prescribing of 37.6 % (95 % confidence interval (CI); 29.0-46.2 %) among patients indicated for both ACE-inhibitors and statins and 38.7 % (95 % CI; 23.2-54.2 %) among patients indicated for statins. No such increases were seen in the late (control) clinics in that period. CONCLUSIONS: To our knowledge, this was the first clinical trial testing the translation and implementation of a successful QI initiative from a private, integrated care setting into CHCs. This proved feasible and had significant impact but required considerable adaptation and implementation support. These results suggest the feasibility of adapting diverse strategies developed in integrated care settings for implementation in under-resourced clinics, with important implications for efficiently improving care quality in such settings. CLINICALTRIALS.gov: NCT02299791 .

Primary care-relevant interventions to prevent falling in older adults: a systematic evidence review for the U.S. Preventive Services Task Force.

BACKGROUND: Falls among older adults are both prevalent and preventable. PURPOSE: To describe the benefits and harms of interventions that could be used by primary care practitioners to prevent falling among community-dwelling older adults. DATA SOURCES: The reviewers evaluated trials from a good-quality systematic review published in 2003 and searched MEDLINE, the Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and CINAHL from the end of that review's search date to February 2010 to identify additional English-language trials. STUDY SELECTION: Two reviewers independently screened 3423 abstracts and 638 articles to identify randomized, controlled trials (RCTs) of primary care-relevant interventions among community-dwelling older adults that reported falls or fallers as an outcome. Trials were independently critically appraised to include only good- or fair-quality trials; discrepancies were resolved by a third reviewer. DATA EXTRACTION: One reviewer abstracted data from 61 articles into standardized evidence tables that were verified by a second reviewer. DATA SYNTHESIS: Overall, the included evidence was of fair quality. In 16 RCTs evaluating exercise or physical therapy, interventions reduced falling (risk ratio, 0.87 [95% CI, 0.81 to 0.94]). In 9 RCTs of vitamin D supplementation, interventions reduced falling (risk ratio, 0.83 [CI, 0.77 to 0.89]). In 19 trials involving multifactorial assessment and management, interventions with comprehensive management seemed to reduce falling, although overall pooled estimates were not statistically significant (risk ratio, 0.94 [CI, 0.87 to 1.02]). Limited evidence suggested that serious clinical harms were no more common for older adults in intervention groups than for those in control groups. LIMITATIONS: Interventions and methods of fall ascertainment were heterogeneous. Data on potential harms of interventions were scant and often not reported. CONCLUSION: Primary care-relevant interventions exist that can reduce falling among community-dwelling older adults. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Development of an algorithm to identify pregnancy episodes in an integrated health care delivery system.

OBJECTIVE: To develop and validate a software algorithm to detect pregnancy episodes and maternal morbidities using automated data. DATA SOURCES/STUDY SETTING: Automated records from a large integrated health care delivery system (IHDS), 1998-2001. STUDY DESIGN: Through complex linkages of multiple automated information sources, the algorithm estimated pregnancy histories. We evaluated the algorithm's accuracy by comparing selected elements of the pregnancy history obtained by the algorithm with the same elements manually abstracted from medical records by trained research staff. DATA COLLECTION/EXTRACTION METHODS: The algorithm searched for potential pregnancy indicators within diagnosis and procedure codes, as well as laboratory tests, pharmacy dispensings, and imaging procedures associated with pregnancy. PRINCIPAL FINDINGS: Among 32,847 women with potential pregnancy indicators, we identified 24,680 pregnancies occuring to 21,001 women. Percent agreement between the algorithm and medical records review on pregnancy outcome, gestational age, and pregnancy outcome date ranged from 91 percent to 98 percent. The validation results were used to refine the algorithm. CONCLUSIONS: This pregnancy episode grouper algorithm takes advantage of databases readily available in IHDS, and has important applications for health system management and clinical care. It can be used in other settings for ongoing surveillance and research on pregnancy outcomes, pregnancy-related morbidities, costs, and care patterns.