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Objective The aim of the current study was to evaluate primary care pediatrician (PCP) adoption of an electronic health record (EHR) documentation tool and their delivery of a behavioral activation (BA) intervention within their routine practice with adolescents who screened positive for depression. Methods We used the RE-AIM framework to describe PCP adoption and implementation of EHR documentation tools and brief evidence-based protocols. Utilization was assessed using a customized toolbar (ie, actions toolbar) via retrospective chart review. A pre-post design was used to measure changes in PCP-reported knowledge, comfort, and feasibility managing depression before and after they were trained. A mixed-effects logistic regression model was used to analyze associations of resource utilization with depression severity. Results PCPs used the actions toolbar to document responses to elevated Patient Health Questionnaire (PHQ-9) scores for 29.80% of encounters. The PCPs utilized the BA protocol for 10.5% of encounters with elevated PHQ-9 scores. Higher depression severity categories were associated with significantly higher odds of utilization relative to mild severity. The training was rated highly acceptable and PCPs reported significant post-training increases in comfort and feasibility. Conclusion This is the first study of its kind to implement and evaluate PCP utilization of an EHR documentation tool aimed to improve delivery of an evidence-based intervention for adolescent depression. Teaching PCPs to implement brief interventions has potential to increase access to evidence-based care; however, large-scale practice change requires an effective implementation strategy that does not increase provider burden and is fully integrated into physician documentation and workflow.

Background The Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. Purpose To evaluate the effects of incentives, weekly planning, and daily self-monitoring prompts that were used as intervention components as part of the Ally app. Methods We conducted an 8 week optimization trial with n = 274 insurees of a health insurance company in Switzerland. At baseline, participants were randomized to different incentive conditions (cash incentives vs. charity incentives vs. no incentives). Over the course of the study, participants were randomized weekly to different planning conditions (action planning vs. coping planning vs. no planning) and daily to receiving or not receiving a self-monitoring prompt. Primary outcome was the achievement of personalized daily step goals. Results Study participants were more active and healthier than the general Swiss population. Daily cash incentives increased step-goal achievement by 8.1%, 95% confidence interval (CI): [2.1, 14.1] and, only in the no-incentive control group, action planning increased step-goal achievement by 5.8%, 95% CI: [1.2, 10.4]. Charity incentives, self-monitoring prompts, and coping planning did not affect physical activity. Engagement with planning interventions and self-monitoring prompts was low and 30% of participants stopped using the app over the course of the study. Conclusions Daily cash incentives increased physical activity in the short term. Planning interventions and self-monitoring prompts require revision before they can be included in future versions of the app. Selection effects and engagement can be important challenges for physical-activity apps. Clinical Trial Information This study was registered on ClinicalTrials.gov, NCT03384550., Users of a physical activity app were more likely to increase their daily activity after receiving cash rewards but not in response to chatbot-guided reminders and planning interventions.

BACKGROUND Implementation strategies are essential for promoting the uptake of evidence-based practices and for patients to receive optimal care. Yet strategies differ substantially in their intensity and feasibility. Lower-intensity strategies (eg, training and technical support) are commonly used but may be insufficient for all clinics. Limited research has examined the comparative effectiveness of augmentations to low-level implementation strategies for nonresponding clinics. OBJECTIVES To compare 2 augmentation strategies for improving uptake of an evidence-based collaborative chronic care model (CCM) on 18-month outcomes for patients with depression at community-based clinics nonresponsive to lower-level implementation support. RESEARCH DESIGN Providers initially received support using a low-level implementation strategy, Replicating Effective Programs (REP). After 6 months, nonresponsive clinics were randomized to add either external facilitation (REP+EF) or external and internal facilitation (REP+EF/IF). MEASURES The primary outcome was patient 12-item short form survey (SF-12) mental health score at month 18. Secondary outcomes were patient health questionnaire (PHQ-9) depression score at month 18 and receipt of the CCM during months 6 through 18. RESULTS Twenty-seven clinics were nonresponsive after 6 months of REP. Thirteen clinics (N=77 patients) were randomized to REP+EF and 14 (N=92) to REP+EF/IF. At 18 months, patients in the REP+EF/IF arm had worse SF-12 [diff, 8.38; 95% confidence interval (CI), 3.59-13.18] and PHQ-9 scores (diff, 1.82; 95% CI, -0.14 to 3.79), and lower odds of CCM receipt (odds ratio, 0.67; 95% CI, 0.30-1.49) than REP+EF patients. CONCLUSIONS Patients at sites receiving the more intensive REP+EF/IF saw less improvement in mood symptoms at 18 months than those receiving REP+EF and were no more likely to receive the CCM. For community-based clinics, EF augmentation may be more feasible than EF/IF for implementing CCMs.

Little information has been compiled across studies about existing interventions to mitigate issues of medical financial hardship, despite growing interest in health care delivery. The purpose of this qualitative systematic scoping review was to examine content and outcomes of interventions to address medical financial hardship. PRISMA guidelines were applied to present results using PubMed, Scopus, and CINAHL, published between January 1980 and August 2020. Additional studies were identified through reference lists of selected papers. Included studies focused on mitigating medical financial hardship from out-of-pocket (OOP) health care expenses as an intervention strategy with at least 1 evaluation component. Screening 2412 articles identified 339 articles for full-text review, 12 of which met inclusion criteria. Variation was found regarding targets and outcome measurement of intervention. Primary outcomes were in the following categories: financial outcomes (eg, OOP expenses), behavioral outcomes, psychosocial, health care utilization, and health status. No included studies reported significant reduction in OOP expenses, perceptions of financial burden/toxicity, or health status. However, changes were observed for behavioral outcomes (adherence to treatment, patient needs addressed), some psychosocial outcomes (mental health symptoms, perceived support, patient satisfaction), and care utilization such as routine health care. No patterns were observed in the achievement of outcomes across studies based on intensity of intervention. Few rigorous studies exist in this emerging field, and studies have not shown consistent positive effects. Future research should focus on conceptual clarity of the intervention, align outcome measurement and achieve consensus around outcomes, and employ rigorous study designs, measurement, and outcome follow-up.

Background: Despite increasing calls for further spread of evidence-based collaborative care interventions (EBIs) in community-based settings, practitioner-driven efforts are often stymied by a lack of experience in addressing barriers to community-based implementation, especially for those not familiar with implementation science. The Michigan Mental Health Integration Partnership (MIP) is a statewide initiative that funds projects that support implementation and uptake of EBIs in community-based settings. MIP also provides an in situ implementation laboratory for understanding barriers to the uptake of EBIs across a variety of settings. We report findings from a statewide qualitative study of practitioners involved in MIP projects to garner their perspectives of best practices in the implementation of EBIs.Methods: Twenty-eight semi-structured interviews of practitioners and researchers from six MIP Projects were conducted with individuals implementing various MIP EBI projects across Michigan, including stakeholders from project teams, implementation sites, and the State of Michigan, to identify common barriers, challenges, and implementation strategies deployed by the project teams, with the purpose of informing a set of implementation steps and milestones.Results: Stakeholders identified a number of barriers to and strategies for success, including the need for tailoring program deployment and implementation to specific site needs, development of web-based tools for facilitating program implementation, and the importance of upper-level administration buy-in. Findings informed our resultant community-based Implementation Roadmap, which identifies critical steps across three implementation phases—pre-implementation, implementation, and sustainability—for implementation practitioners to use in their EBI implementation efforts.Conclusion: Implementation practitioners interested in community-based EBI implementation often lack access to operationalized implementation “steps” or “best practices” that can facilitate successful uptake and evaluation. Our community-informed MIP Implementation Roadmap, offering generalized steps for reaching successful implementation, uses experiences from a diverse set of MIP teams to guide practitioners through the practices necessary for scaling up EBIs in community-based settings over pre-implementation, implementation and sustainability phases.

OBJECTIVE: To evaluate the comparative effectiveness of external facilitation (EF) vs external + internal facilitation (EF/IF), on uptake of a collaborative chronic care model (CCM) in community practices that were slower to implement under low‐level implementation support. STUDY SETTING: Primary data were collected from 43 community practices in Michigan and Colorado at baseline and for 12 months following randomization. STUDY DESIGN: Sites that failed to meet a pre‐established implementation benchmark after six months of low‐level implementation support were randomized to add either EF or EF/IF support for up to 12 months. Key outcomes were change in number of patients receiving the CCM and number of patients receiving a clinically significant dose of the CCM. Moderators’ analyses further examined whether comparative effectiveness was dependent on prerandomization adoption, number of providers trained or practice size. Facilitation log data were used for exploratory follow‐up analyses. DATA COLLECTION: Sites reported monthly on number of patients that had received the CCM. Facilitation logs were completed by study EF and site IFs and shared with the study team. PRINCIPAL FINDINGS: N = 21 sites were randomized to EF and 22 to EF/IF. Overall, EF/IF practices saw more uptake than EF sites after 12 months (Δ(EF/IF‐EF) = 4.4 patients, 95% CI = 1.87‐6.87). Moderators' analyses, however, revealed that it was only sites with no prerandomization uptake of the CCM (nonadopter sites) that saw significantly more benefit from EF/IF (Δ(EF/IF‐EF) = 9.2 patients, 95% CI: 5.72, 12.63). For sites with prerandomization uptake (adopter sites), EF/IF offered no additional benefit (Δ(EF/IF‐EF) = −0.9; 95% CI: −4.40, 2.60). Number of providers trained and practice size were not significant moderators. CONCLUSIONS: Although stepping up to the more intensive EF/IF did outperform EF overall, its benefit was limited to sites that failed to deliver any CCM under the low‐level strategy. Once one or more providers were delivering the CCM, additional on‐site personnel did not appear to add value to the implementation effort.

BACKGROUND: HeartSteps is an mHealth intervention that encourages regular walking via activity suggestions tailored to the individuals’ current context. PURPOSE: We conducted a micro-randomized trial (MRT) to evaluate the efficacy of HeartSteps’ activity suggestions to optimize the intervention. METHODS: We conducted a 6-week MRT with 44 adults. Contextually tailored suggestions could be delivered up to five times per day at user-selected times. At each of these five times, for each participant on each day of the study, HeartSteps randomized whether to provide an activity suggestion, and, if so, whether to provide a walking or an antisedentary suggestion. We used a centered and weighted least squares method to analyze the effect of suggestions on the 30-min step count following suggestion randomization. RESULTS: Averaging over study days and types of activity suggestions, delivering a suggestion versus no suggestion increased the 30-min step count by 14% (p = .06), 35 additional steps over the 253-step average. The effect was not evenly distributed in time. Providing any type of suggestion versus no suggestion initially increased the step count by 66% (167 steps; p < .01), but this effect diminished over time. Averaging over study days, delivering a walking suggestion versus no suggestion increased the average step count by 24% (59 steps; p = .02). This increase was greater at the start of study (107% or 271 additional steps; p < .01), but decreased over time. Antisedentary suggestions had no detectable effect on the 30-min step count. CONCLUSION: Contextually tailored walking suggestions are a promising way of initiating bouts of walking throughout the day. CLINICAL TRIAL INFORMATION: This study was registered on ClinicalTrials.gov number NCT03225521.

Background Depressive and anxiety disorders affect 20–30% of school-age youth, most of whom do not receive adequate services, contributing to poor developmental and academic outcomes. Evidence-based practices (EBPs) such as cognitive behavioral therapy (CBT) can improve outcomes, but numerous barriers limit access among affected youth. Many youth try to access mental health services in schools, but school professionals (SPs: counselors, psychologists, social workers) are rarely trained adequately in CBT methods. Further, SPs face organizational barriers to providing CBT, such as lack of administrative support. Three promising implementation strategies to address barriers to school-based CBT delivery include (1) Replicating Effective Programs (REP), which deploys customized CBT packaging, didactic training in CBT, and technical assistance; (2) coaching, which extends training via live supervision to improve SP competence in CBT delivery; and (3) facilitation, which employs an organizational expert who mentors SPs in strategic thinking to promote self-efficacy in garnering administrative support. REP is a relatively low-intensity/low-cost strategy, whereas coaching and facilitation require additional resources. However, not all schools will require all three strategies. The primary aim of this study is to compare the effectiveness of a school-level adaptive implementation intervention involving REP, coaching, and facilitation versus REP alone on the frequency of CBT delivered to students by SPs and student mental health outcomes. Secondary and exploratory aims examine cost-effectiveness, moderators, and mechanisms of implementation strategies. Methods Using a clustered, sequential multiple-assignment, randomized trial (SMART) design, ≥ 200 SPs from 100 schools across Michigan will be randomized initially to receive REP vs. REP+coaching. After 8 weeks, schools that do not meet a pre-specified implementation benchmark are re-randomized to continue with the initial strategy or to augment with facilitation. Discussion EBPs need to be implemented successfully and efficiently in settings where individuals are most likely to seek care in order to gain large-scale impact on public health. Adaptive implementation interventions hold the promise of providing cost-effective implementation support. This is the first study to test an adaptive implementation of CBT for school-age youth, at a statewide level, delivered by school staff, taking an EBP to large populations with limited mental health care access. Trial registration NCT03541317—Registered on 29 May 2018 on ClinicalTrials.gov PRS Electronic supplementary material The online version of this article (10.1186/s13012-018-0808-8) contains supplementary material, which is available to authorized users.

Background The just-in-time adaptive intervention (JITAI) is an intervention design aiming to provide the right type/amount of support, at the right time, by adapting to an individual’s changing internal and contextual state. The availability of increasingly powerful mobile and sensing technologies underpins the use of JITAIs to support health behavior, as in such a setting an individual’s state can change rapidly, unexpectedly, and in his/her natural environment. Purpose Despite the increasing use and appeal of JITAIs, a major gap exists between the growing technological capabilities for delivering JITAIs and research on the development and evaluation of these interventions. Many JITAIs have been developed with minimal use of empirical evidence, theory, or accepted treatment guidelines. Here, we take an essential first step towards bridging this gap. Methods Building on health behavior theories and the extant literature on JITAIs, we clarify the scientific motivation for JITAIs, define their fundamental components, and highlight design principles related to these components. Examples of JITAIs from various domains of health behavior research are used for illustration. Conclusions As we enter a new era of technological capacity for delivering JITAIs, it is critical that researchers develop sophisticated and nuanced health behavior theories capable of guiding the construction of such interventions. Particular attention has to be given to better understanding the implications of providing timely and ecologically sound support for intervention adherence and retention

BackgroundRecent efforts to reduce patient infection rates emphasise the importance of safety culture. However, little evidence exists linking measures of safety culture and infection rates, in part because of the difficulty of collecting both safety culture and infection data from a large number of nursing homes.ObjectiveTo examine the association between nursing home safety culture, measured with the Nursing Home Survey on Patient Safety Culture (NHSOPS), and catheter-associated urinary tract infection rates (CAUTI) using data from a recent national collaborative for preventing healthcare-associated infections in nursing homes.MethodsIn this prospective cohort study of nursing homes, facility staff completed the NHSOPS at intervention start and 11 months later. National Healthcare Safety Network-defined CAUTI rates were collected monthly for 1 year. Negative binomial models examined CAUTI rates as a function of both initial and time-varying facility-aggregated NHSOPS components, adjusted for facility characteristics.ResultsStaff from 196 participating nursing homes completed the NHSOPS and reported CAUTI rates monthly. Nursing homes saw a 52% reduction in CAUTI rates over the intervention period. Seven of 13 NHSOPS measures saw improvements, with the largest improvements for ‘Management Support for Resident Safety’ (3.7 percentage point increase in facility-level per cent positive response, on average) and ‘Communication Openness’ (2.5 percentage points). However, these increases were statistically insignificant, and multivariate models did not find significant association between CAUTI rates and initial or over-time NHSOPS domains.ConclusionsThis large national collaborative of nursing homes saw declining CAUTI rates as well as improvements in several NHSOPS domains. However, no association was found between initial or over-time NHSOPS scores and CAUTI rates.

Background: Smartphones enable the implementation of just-in-time adaptive interventions (JITAIs) that tailor the delivery of health interventions over time to user- and time-varying context characteristics. Ideally, JITAIs include effective intervention components, and delivery tailoring is based on effective moderators of intervention effects. Using machine learning techniques to infer each user’s context from smartphone sensor data is a promising approach to further enhance tailoring. Objective: The primary objective of this study is to quantify main effects, interactions, and moderators of 3 intervention components of a smartphone-based intervention for physical activity. The secondary objective is the exploration of participants’ states of receptivity, that is, situations in which participants are more likely to react to intervention notifications through collection of smartphone sensor data. Methods: In 2017, we developed the Assistant to Lift your Level of activitY (Ally), a chatbot-based mobile health intervention for increasing physical activity that utilizes incentives, planning, and self-monitoring prompts to help participants meet personalized step goals. We used a microrandomized trial design to meet the study objectives. Insurees of a large Swiss insurance company were invited to use the Ally app over a 12-day baseline and a 6-week intervention period. Upon enrollment, participants were randomly allocated to either a financial incentive, a charity incentive, or a no incentive condition. Over the course of the intervention period, participants were repeatedly randomized on a daily basis to either receive prompts that support self-monitoring or not and on a weekly basis to receive 1 of 2 planning interventions or no planning. Participants completed a Web-based questionnaire at baseline and postintervention follow-up. Results: Data collection was completed in January 2018. In total, 274 insurees (mean age 41.73 years; 57.7% [158/274] female) enrolled in the study and installed the Ally app on their smartphones. Main reasons for declining participation were having an incompatible smartphone (37/191, 19.4%) and collection of sensor data (35/191, 18.3%). Step data are available for 227 (82.8%, 227/274) participants, and smartphone sensor data are available for 247 (90.1%, 247/274) participants. Conclusions: This study describes the evidence-based development of a JITAI for increasing physical activity. If components prove to be efficacious, they will be included in a revised version of the app that offers scalable promotion of physical activity at low cost., JMIR Research Protocols, 8 (1), ISSN:1929-0748

Chart-based surveillance reviews indicate that the incidence of hospital-acquired pressure ulcers (HAPUs) declined 23 percent during 2010-14, equating to an estimated savings of $1 billion during that period. Yet it remains unclear whether the administrative data used to implement three Medicare value-based purchasing programs that target HAPUs indicate similar improvements, and how success varied by HAPU severity. These programs measure and penalize only for more severe ulcers (stage 3 or 4 or unstageable), which are much more costly than less severe cases (stage 1 or 2). We assessed HAPU incidence, severity, and trends using administrative data for 2009-14 from three states. The HAPU incidence we found was approximately one-twentieth of that found in chart-based surveillance review data. HAPU incidence in administrative data declined, but 96 percent of the change was due to a decline in the incidence of less severe HAPUs. Transitioning from administrative data to chart-based surveillance review to measure HAPUs (mirroring changes that have already been made in reporting hospital-acquired infections) and accounting for HAPU severity could improve the validity of HAPU measures for assessing the clinical and financial impact of value-based purchasing interventions.

Background Organizational culture and climate are considered key factors in implementation efforts but have not been examined as moderators of implementation strategy comparative effectiveness. We investigated organizational culture and climate as moderators of comparative effectiveness of two sequences of implementation strategies (Immediate vs. Delayed Enhanced Replicating Effective Programs [REP]) combining Standard REP and REP enhanced with facilitation on implementation of an outreach program for Veterans with serious mental illness lost to care at Veterans Health Administration (VA) facilities nationwide. Methods This study is a secondary analysis of the cluster-randomized Re-Engage implementation trial that assigned 3075 patients at 89 VA facilities to either the Immediate or Delayed Enhanced REP sequences. We hypothesized that sites with stronger entrepreneurial culture, task, or relational climate would benefit more from Enhanced REP than Standard REP. Veteran- and site-level data from the Re-Engage trial were combined with site-aggregated measures of entrepreneurial culture and task and relational climate from the 2012 VA All Employee Survey. Longitudinal mixed-effects logistic models examined whether the comparative effectiveness of the Immediate vs. Delayed Enhanced REP sequences were moderated by culture or climate measures at 6 and 12 months post-randomization. Three Veteran-level outcomes related to the engagement with the VA system were assessed: updated documentation, attempted contact by coordinator, and completed contact. Results For updated documentation and attempted contact, Veterans at sites with higher entrepreneurial culture and task climate scores benefitted more from Enhanced REP compared to Standard REP than Veterans at sites with lower scores. Few culture or climate moderation effects were detected for the comparative effectiveness of the full sequences of implementation strategies. Conclusions Implementation strategy effectiveness is highly intertwined with contextual factors, and implementation practitioners may use knowledge of contextual moderation to tailor strategy deployment. We found that facilitation strategies provided with Enhanced REP were more effective at improving uptake of a mental health outreach program at sites with stronger entrepreneurial culture and task climate; Veterans at sites with lower levels of these measures saw more similar improvement under Standard and Enhanced REP. Within resource-constrained systems, practitioners may choose to target more intensive implementation strategies to sites that will most benefit from them. Trial registration ISRCTN: ISRCTN21059161. Date registered: April 11, 2013. Electronic supplementary material The online version of this article (10.1186/s13012-018-0787-9) contains supplementary material, which is available to authorized users.

Voluntary Leapfrog Safe Practices Score (SPS) measures were among the first public reports of hospital performance. Recently, Medicare's Hospital Compare website has reported compulsory measures. Leapfrog's Hospital Safety Score (HSS) grades incorporate SPS and Medicare measures. We evaluate associations between Leapfrog SPS and Medicare measures, and the impact of SPS on HSS grades. Using 2013 hospital data, we linked Leapfrog HSS data with central line-associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI) standardized infection ratios (SIRs), and Hospital Readmission and Hospital-Acquired Condition (HAC) Reduction Program penalties incorporating 2013 performance. For SPS-providing hospitals, we used linear and logistic regression models to predict CLABSI/CAUTI SIRs and penalties as a function of SPS. For hospitals not reporting SPS, we simulated change in HSS grades after imputing a range of SPS. In total, 1089 hospitals reported SPS; >50% self-reported perfect scores for all but 1 measure. No SPS measures were associated with SIRs. One SPS (feedback) was associated with lower odds of HAC penalization (odds ratio, 0.86; 95% confidence interval, 0.76-0.97). Among hospitals not reporting SPS (N=1080), 98% and 54% saw grades decline by 1+ letters with first and 10th percentile SPS imputed, respectively; 49% and 54% saw grades improve by 1+ letter with median and highest SPS imputed. Voluntary Leapfrog SPS measures skew toward positive self-report and bear little association with compulsory Medicare outcomes and penalties. SPS significantly impacts HSS grades, particularly when lower SPS is reported. With increasing compulsory reporting, Leapfrog SPS seems limited for comparing hospital performance.

Policy is a powerful motivator of clinical change, but implementation success can depend on organizational characteristics. This article used validated measures of organizational resources, culture, and climate to predict uptake of a nationwide Veteran's Health Administration (VA) policy aimed at implementing Re-Engage, a brief care management program that reestablishes contact with veterans with serious mental illness lost to care. Patient care databases were used to identify 2738 veterans lost to care. Local recovery coordinators (LRCs) were to update disposition for 2738 veterans at 158 VA facilities and, as appropriate, facilitate a return to care. Multivariable regression was used to assess organizational culture and climate as predictors of early policy compliance (via LRC presence) and uptake at 6 months. Higher composite climate and culture scores were associated with higher odds of having a designated LRC but were not predictive of higher uptake. Sites with LRCs had significantly higher rates of updated documentation than sites without LRCs.

Readmission rates after pneumonia, heart failure, and acute myocardial infarction hospitalizations are risk-adjusted for age, gender, and medical comorbidities and used to penalize hospitals. To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment. Retrospective cohort study of Medicare patients using 1) linked Health and Retirement Study-Medicare claims data (HRS-CMS) and 2) Healthcare Cost and Utilization Project State Inpatient Databases (Florida, Washington) linked with ZIP Code-level measures from the Census American Community Survey (ACS-HCUP). Multilevel logistic regression models assessed the impact of disability and selected social determinants of health on readmission beyond current risk adjustment. Outcomes measured were readmissions ≤30 days after hospitalizations for pneumonia, heart failure, or acute myocardial infarction. HRS-CMS models included disability measures (activities of daily living [ADL] limitations, cognitive impairment, nursing home residence, home healthcare use) and social determinants of health (spouse, children, wealth, Medicaid, race). ACS-HCUP model measures were ZIP Code-percentage of residents ≥65 years of age with ADL difficulty, spouse, income, Medicaid, and patient-level and hospital-level race. For pneumonia, ≥3 ADL difficulties (OR 1.61, CI 1.079–2.391) and prior home healthcare needs (OR 1.68, CI 1.204–2.355) increased readmission in HRS-CMS models (N = 1631); ADL difficulties (OR 1.20, CI 1.063–1.352) and ‘other’ race (OR 1.14, CI 1.001–1.301) increased readmission in ACS-HCUP models (N = 27,297). For heart failure, children (OR 0.66, CI 0.437–0.984) and wealth (OR 0.53, CI 0.349–0.787) lowered readmission in HRS-CMS models (N = 2068), while black (OR 1.17, CI 1.056–1.292) and ‘other’ race (OR 1.14, CI 1.036-1.260) increased readmission in ACS-HCUP models (N = 37,612). For acute myocardial infarction, nursing home status (OR 4.04, CI 1.212–13.440) increased readmission in HRS-CMS models (N = 833); ‘other’ patient-level race (OR 1.18, CI 1.012–1.385) and hospital-level race (OR 1.06, CI 1.001–1.125) increased readmission in ACS-HCUP models (N = 17,496). Disability and social determinants of health influence readmission risk when added to the current Medicare risk adjustment models, but the effect varies by condition.

Purpose To evaluate patterns and predictors of peripherally inserted central catheter (PICC)–related occlusion. Materials and Methods Data from a multihospital study were used to examine factors associated with PICC occlusion. Occlusion was defined if documented in the medical record or when tissue plasminogen activator was administered for occlusion-related concerns. Mixed-effects logistic regression was used to predict occlusion, controlling for patient-, provider-, device-, and hospital-level characteristics. Results A total of 14,278 PICCs placed in 13,408 patients were included. Of these, occlusion developed in 1,716 PICCs (12%) in 1,684 patients. The most common indications for PICC insertion were intravenous antibiotic therapy (32.7%), difficult intravenous access (21.5%), and central access (13.7%). PICCs placed in the right arm had decreased odds of occlusion compared with those in the left arm (odds ratio [OR] = 0.82; 95% confidence interval [CI] = 0.72–0.94). Verification of catheter tip position following insertion was associated with reduction in occlusion (OR = 0.75; 95% CI = 0.61–0.92). Although normal saline solution or heparin flushes did not reduce occlusion, PICCs flushed with normal saline solution and “locked” with heparin were less likely to become occluded (OR = 0.54; 95% CI = 0.33–0.88). Compared with single-lumen devices, double- and triple-lumen PICCs were associated with greater incidences of occlusion (double, OR = 3.07; 95% CI = 2.56–3.67; triple, OR = 3.72; 95% CI = 2.92–4.74). Catheter tip malposition was also associated with occlusion (OR = 1.46; 95% CI = 1.14–1.87). Conclusions Several patient, provider, and device characteristics appear associated with PICC occlusion. Interventions targeting these factors may prove valuable in reducing this complication.

Use of peripherally inserted central catheters (PICCs) has grown substantially in hospitalized medical patients. However, data regarding PICC placement largely originate from single-center experiences or studies of highly select populations and outcomes. Consequently, little is known about variation in PICC use or outcomes across hospitals. To examine this, we conducted a prospective study at 10 hospitals through the Michigan Hospital Medicine Safety (HMS) Consortium, a quality–improvement initiative dedicated to preventing adverse events in hospitalized medical patients.