Using natural language processing to identify the status of homelessness and housing instability among serious illness patients from clinical notes in an integrated healthcare system.

Background: Efficiently identifying the social risks of patients with serious illnesses (SIs) is the critical first step in providing patient-centered and value-driven care for this medically vulnerable population. Objective: To apply and further hone an existing natural language process (NLP) algorithm that identifies patients who are homeless/at risk of homeless to a SI population. Methods: Patients diagnosed with SI between 2019 and 2020 were identified using an adapted list of diagnosis codes from the Center for Advance Palliative Care from the Kaiser Permanente Southern California electronic health record. Clinical notes associated with medical encounters within 6 months before and after the diagnosis date were processed by a previously developed NLP algorithm to identify patients who were homeless/at risk of homelessness. To improve the generalizability to the SI population, the algorithm was refined by multiple iterations of chart review and adjudication. The updated algorithm was then applied to the SI population. Results: Among 206 993 patients with a SI diagnosis, 1737 (0.84%) were identified as homeless/at risk of homelessness. These patients were more likely to be male (51.1%), age among 45-64 years (44.7%), and have one or more emergency visit (65.8%) within a year of their diagnosis date. Validation of the updated algorithm yielded a sensitivity of 100.0% and a positive predictive value of 93.8%. Conclusions: The improved NLP algorithm effectively identified patients with SI who were homeless/at risk of homelessness and can be used to target interventions for this vulnerable group.

Association of a Medicare Advantage Posthospitalization Home Meal Delivery Benefit With Rehospitalization and Death.

Importance: The 2018 Chronic Care Act allowed Medicare Advantage plans to have greater flexibility in offering supplemental benefits, such as meals and services, to address unmet needs of beneficiaries with certain chronic conditions. Based on earlier studies of community-based nutritional support, such programs may result in reduced use. Objective: To evaluate the association of a 4-week posthospitalization home-delivered meals benefit with 30-day all-cause rehospitalization and mortality in patients admitted for heart failure (HF) and other acute medical conditions (non-HF). Design, Setting, and Participants: In this cohort study, patients who received meals (the meals group) were compared with 2 controls: (1) no meals in the 2019 historical cohort who would have been eligible for the benefit (the no meals-2019 group) and (2) no meals in the 2021 and 2022 concurrent cohort who were referred but did not receive the meals due to unsuccessful contacts and active declines (the no meals-2021/2022 group). This study took place in a large integrated health care system in southern California among Medicare Advantage members with a hospitalization for HF or other acute medical conditions at 15 Kaiser Permanente hospitals discharged to home. Exposure: The exposure was receipt of at least 1 and up to 4 shipments of home-delivered meals (total of 56 to 84 meals) after hospital discharge. Main Outcomes and Measures: The main outcomes were 30-day all-cause composite rehospitalization and death. Results: A total of 4032 adults with admission to the hospital for HF (mean [SD] age, 79 [9] years; 1951 [48%] White; 2001 [50%] female) and 7944 with non-HF admissions (mean [SD] age, 78 [8] years; 3890 [49%] White; 4149 [52%] female) were included in the analyses. Unadjusted rates of 30-day death and rehospitalization for the meals, no meals-2019, and no meals-2021/2022 cohorts were as follows: HF: 23.3%, 30.1%, and 38.5%; non-HF: 16.5%, 22.4%, and 32.9%, respectively. For HF, exposure to meals was significantly associated with lower odds of 30-day death and rehospitalization compared with the no meals-2021/2022 cohort (OR, 0.55; 95% CI, 0.43-0.71; P < .001) but was not significant compared with the no meals-2019 cohort (OR, 0.86; 95% CI, 0.72-1.04; P = .12). For non-HF, exposure to meals was associated with significantly lower odds of 30-day death and rehospitalization when compared with the no meals-2019 (OR, 0.64; 95% CI, 0.52-0.79; P < .001) and the no meals-2021/2022 (OR, 0.48; 95% CI, 0.37-0.62; P < .001) cohorts. Conclusions and Relevance: In this cohort study, exposure to posthospitalization home-delivered meals was associated with lower 30-day rehospitalization and mortality; randomized clinical trials are needed to confirm these findings.

Symptom Burden Is Lower in Asian and Pacific Islander and Black Men Admitted to Home-Based Palliative Care in an Integrated Health Care System.

Background: Little is known about racial/ethnic differences in symptom severity among patients receiving home-based palliative care (HomePal). Objectives: To determine whether symptom severity differs between White patients and patients of color receiving HomePal and whether gender moderates the difference. Design: This is a cross-sectional exploratory study. Setting/Subjects: Baseline data were from 2090 patients receiving HomePal in Kaiser Permanente Southern California. Measurements: Multivariable median regression analyses were carried out across race/ethnicity groups and stratified by gender to assess differences in Edmonton Symptom Assessment System (ESAS) scores at HomePal admission. Results: Asian/Pacific Islander men and Black men had lower ESAS scores compared than White men (-5 [-7.8, -2.2], p = 0.0005 and -5.4 [-8.7, -2.1], p = 0.001, respectively); there were marginal ESAS differences across race/ethnic groups for women. Conclusion: Patients of color reported lower symptom severity than White patients. More research is needed to understand how the intersection of culture and gender affects symptom experience and reporting in patients living with serious illness. Trial Registration: ClinicalTrials.gov: NCT#03694431.

Dementia diagnosis and utilization patterns in a racially diverse population within an integrated health care delivery system.

Introduction: In an effort to identify improvement opportunities for earlier dementia detection and care within a large, integrated health care system serving diverse Medicare Advantage (MA) beneficiaries, we examined where, when, and by whom Alzheimer's disease and related dementias (ADRD) diagnoses are recorded as well as downstream health care utilization and life care planning. Methods: Patients 65 years and older, continuously enrolled in the Kaiser Foundation health plan for at least 2 years, and with a first ADRD diagnosis between January 1, 2015, and December 31, 2018, comprised the incident cohort. Electronic health record data were used to identify site and source of the initial diagnosis (clinic vs hospital-based, provider type), health care utilization in the year before and after diagnosis, and end-of-life care. Results: ADRD prevalence was 5.5%. A total of 25,278 individuals had an incident ADRD code (rate: 1.2%) over the study period-nearly half during a hospital-based encounter. Hospital-diagnosed patients had higher comorbidities, acute care use before and after diagnosis, and 1-year mortality than clinic-diagnosed individuals (36% vs 11%). Many decedents (58%-72%) received palliative care or hospice. Of the 55% diagnosed as outpatients, nearly two-thirds were diagnosed by dementia specialists; when used, standardized cognitive assessments indicated moderate stage ADRD. Despite increases in advance care planning and visits to dementia specialists in the year after diagnosis, acute care use also increased for both clinic- and hospital-diagnosed cohorts. Discussion: Similar to other MA plans, ADRD is under-diagnosed in this health system, compared to traditional Medicare, and diagnosed well beyond the early stages, when opportunities to improve overall outcomes are presumed to be better. Dementia specialists function primarily as consultants whose care does not appear to mitigate acute care use. Strategic targets for ADRD care improvement could focus on generating pragmatic evidence on the value of proactive detection and tracking, care planning, and the role of specialists in chronic care management.

A mixed-methods evaluation of home-based primary care in dementia within an integrated system.

BACKGROUND: No prior studies have examined the effects of home-based primary care (HBPC) in persons living with dementia (PLWD), within an ecosystem of serious illness care in an integrated healthcare system. Our objectives were to compare the characteristics of PLWD receiving HBPC and their hospital utilization and end-of-life care, with those of a matched comparison group, and to understand the experiences of family caregivers of PLWD receiving HBPC. METHODS: This mixed-methods study used a retrospective observational cohort design with PLWD receiving HBPC (n = 287) from 2015 to 2020 and a strata-matched comparison group (n = 861), and qualitative phone interviews with 16 HBPC family caregivers in 2020. Inverse probability of treatment weighting propensity score-adjusted models were used to compare time-to-first hospital-based utilization and, for decedents, home palliative and hospice care and place of death. Care experience was captured through caregiver interviews. RESULTS: Patients receiving HBPC had a similar risk of hospital utilization [adjusted hazard ratio, 1.06 (95% CI: 0.89-1.26), p = 0.51] as a matched non-HBPC comparison group after a median follow-up of 199 days. However, HBPC decedents (n = 159) were more likely to receive home palliative care or hospice [rate ratio, RR: 1.23 (95% CI: 1.07-1.42), p < 0.01] and to die at home [RR: 1.66 (95% CI: 1.35-2.05), p < 0.001] than were non-HBPC decedents (n = 423). Caregivers reported that HBPC provided coordinated, continuous, and convenient care that was aligned with families' priorities and goals; however, some expressed unmet needs, especially for help paying for personal care and medical supplies/equipment, and a desire for clearer communication about program operations and more quality oversight for contract services. CONCLUSIONS: Although HBPC for PLWD was associated with a similar risk of hospital utilization compared to a matched non-HBPC comparison group, HBPC resulted in more patient-centered end-of-life care for decedents. Prospective studies of HBPC that further elicit and address unmet needs are warranted.

Patterns of incident dementia codes during the COVID-19 pandemic at an integrated healthcare system.

BACKGROUND: The COVID-19 pandemic delayed diagnosis and care for some acute conditions and reduced monitoring for some chronic conditions. It is unclear whether new diagnoses of chronic conditions such as dementia were also affected. We compared the pattern of incident Alzheimer's disease and related dementia (ADRD) diagnosis codes from 2017 to 2019 through 2020, the first pandemic year. METHODS: Retrospective cohort design, leveraging 2015-2020 data on all members 65 years and older with no prior ADRD diagnosis, enrolled in a large integrated healthcare system for at least 2 years. Incident ADRD was defined as the first ICD-10 code at any encounter, including outpatient (face-to-face, video, or phone), hospital (emergency department, observation, or inpatient), or continuing care (home, skilled nursing facility, and long-term care). We also examined incident ADRD codes and use of telehealth by age, sex, race/ethnicity, and spoken language. RESULTS: Compared to overall annual incidence rates for ADRD codes in 2017-2019, 2020 incidence was slightly lower (1.30% vs. 1.40%), partially compensating later in the year for reduced rates during the early months of the pandemic. No racial or ethnic group differences were identified. Telehealth ADRD codes increased fourfold, making up for a 39% drop from face-to-face outpatient encounters. Older age (85+) was associated with higher odds of receiving telecare versus face-to-face care in 2020 (OR:1.50, 95%CI: 1.25-1.80) and a slightly lower incidence of new codes; no racial/ethnic, sex, or language differences were identified in the mode of care. CONCLUSIONS: Rates of incident ADRD codes dropped early in the first pandemic year but rose again to near pre-pandemic rates for the year as a whole, as clinicians rapidly pivoted to telehealth. With refinement of protocols for remote dementia detection and diagnosis, health systems could improve access to equitable detection and diagnosis of ADRD going forward.

Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system.

BACKGROUND: Follow-up visits with clinic providers after hospital discharge may not be feasible for some patients due to functional limitations, transportation challenges, need for physical distancing, or fear of exposure especially during the current COVID-19 pandemic. METHODS: The aim of the study was to determine the effects of post-hospital clinic (POSH) and telephone (TPOSH) follow-up provider visits versus no visit on 30-day readmission. We used a retrospective cohort design based on data from 1/1/2017 to 12/31/2019 on adult patients (n = 213,513) discharged home from 15 Kaiser Permanente Southern California hospitals. Completion of POSH or TPOSH provider visits within 7 days of discharge was the exposure and all-cause 30-day inpatient and observation stay readmission was the primary outcome. We used matching weights to balance the groups and Fine-Gray subdistribution hazard model to assess for readmission risk. RESULTS: Unweighted all-cause 30-day readmission rate was highest for patients who completed a TPOSH (17.3%) followed by no visit (14.2%), non-POSH (evaluation and management visits that were not focused on the hospitalization: 13.6%) and POSH (12.6%) visits. The matching weighted models showed that the effects of POSH and TPOSH visits varied across patient subgroups. For high risk (LACE 11+) medicine patients, both POSH (HR: 0.77, 95% CI: 0.71, 0.85, P < .001) and TPOSH (HR: 0.91, 95% CI: 0.83, 0.99, P = .03) were associated with 23 and 9% lower risk of 30-day readmission, respectively, compared to no visit. For medium to low risk medicine patients (LACE< 11) and all surgical patients regardless of LACE score or age, there were no significant associations for either visit type with risk of 30-day readmission. CONCLUSIONS: Post-hospital telephone follow-up provider visits had only modest effects on 30-day readmission in high-risk medicine patients compared to clinic visits. It remains to be determined if greater use and comfort with virtual visits by providers and patients as a result of the pandemic might improve the effectiveness of these encounters.

Characteristics of patients discharged and readmitted after COVID-19 hospitalisation within a large integrated health system in the United States.

BACKGROUND: Limited studies have explored post-discharge outcomes following Coronavirus Disease 2019 (COVID-19) hospitalisation. We sought to characterise patients discharged following a COVID-19 hospitalisation within a large integrated health system in the United States. METHODS: We performed a retrospective study of 2180 COVID-19 patients discharged between 1 April 2020 and 31 July 2020. The primary endpoint was all-cause observation stay or inpatient readmission within 30 days from discharge. Bivariate and multivariable logistic regression analyses were performed to estimate the association between key socio-demographic and clinical characteristics with risk of 30-day readmission. RESULTS: The 30-day readmission rate was 7.6% (n = 166); 30-day mortality rate was 1% (n = 19). Most readmissions were respiratory-related (58%) and occurred at a median time of 5 days post discharge. Adjusted models showed that prior hospitalisations (Odds Ratio = 2.36, [95% Confidence Interval: 1.59-3.50]), chronic pulmonary disease (1.57 [1.09-2.28]), and discharge to home health (1.46 [1.01-2.11]) were significantly associated with 30-day readmission. Longer duration from diagnosis to index admission was borderline associated with lower odds of readmission (0.95 [0.91-1.00]). CONCLUSION: Readmission and mortality rates for COVID-19 following discharge are low. Most readmissions occur early and are due to respiratory causes and may reflect the prolonged acute disease course.

COPD Comorbidity Profiles and 2-Year Trajectory of Acute and Postacute Care Use.

BACKGROUND: Multiple morbidity is the norm in advanced COPD and contributes to high symptom burden and worse outcomes. RESEARCH QUESTION: Can distinct comorbidity profiles be identified and validated in a community-based sample of patients with COPD from a large integrated health care system using a standard, commonly used diagnostic code-based comorbidity index and downstream 2-year health care use data? STUDY DESIGN AND METHODS: In this retrospective cohort study, we used latent class analysis (LCA) to identify comorbidity profiles in a population-based sample of 91,453 patients with a COPD diagnosis between 2011 and 2015. We included specific comorbid conditions from the Charlson Comorbidity Index (CCI) and accounted for variation in underlying prevalence of different comorbidities across the three study sites. Sociodemographic, clinical, and health-care use data were obtained from electronic health records (EHRs). Multivariate logistic regression analysis was used to compare rates of acute and postacute care use by class. RESULTS: The mean age was 71 ± 11 years, 55% of patients were women, 23% of patients were people of color, and 80% of patients were former or current smokers. LCA identified four distinct comorbidity profiles with progressively higher CCI scores: low morbidity (61%; 1.9 ± 1.4), metabolic renal (21%; 4.7 ± 1.8), cardiovascular (12%; 4.6 ± 1.9), and multimorbidity (7%; 7.5 ± 1.7). In multivariate models, during 2 years of follow-up, a significant, nonoverlapping increase was found in the odds of having any all-cause acute (hospitalizations, observation stays, and ED visits) and postacute care use across the comorbidity profiles. INTERPRETATION: Distinct comorbidity profiles can be identified in patients with COPD using standard EHR-based diagnostic codes, and these profiles are associated with subsequent acute and postacute care use. Population-based risk stratification schemes for end-to-end, comprehensive COPD management should consider integrating comorbidity profiles such as those found in this study.

Evaluation of a Transitional Care Program After Hospitalization for Heart Failure in an Integrated Health Care System.

Importance: Prompted by null findings from several care transition trials and practice changes for heart failure in recent years, leaders from a large integrated health care system aimed to reassess the outcomes of its 10-year multicomponent transitional care program for heart failure (HF-TCP). Objective: To examine the association of the individual HF-TCP components and their bundle with the primary outcome of all-cause 30-day inpatient or observation stay readmissions. Design, Setting, and Participants: This retrospective cohort study included patients enrolled in the HF-TCP during an inpatient encounter for heart failure at 13 Kaiser Permanente Southern California hospitals from January 1, 2013, to October 31, 2018, who were followed up from discharge until 30 days, readmission, or death. Data were analyzed from May 7, 2019, to May 1, 2020, with additional review from September 2 to October 1, 2020. Exposures: Patients received 1 home health visit or telecare (telephone) visit from a registered nurse within 2 days of hospital discharge, a heart failure care manager call within 7 days, and a clinic visit with a physician or a nurse practitioner within 7 days. Main Outcomes and Measures: Multivariable proportional hazards regression models were used to estimate the probability of 30-day readmission for those who received the individual or bundled HF-TCP components compared with those who did not. Results: A total of 26 128 patients were included; 57.0% were male, and the mean (SD) age was 73 (13) years. The 30-day readmission rate was 18.1%. Both exposure to a home health visit within 2 days of discharge (hazard ratio [HR], 1.03; 95% CI, 0.96-1.10) and a 7-day heart failure case manager call (HR, 1.08; 95% CI, 0.99-1.18) compared with no visit or call were not associated with a lower rate of readmission. Completion of a 7-day clinic visit was associated with a lower readmission rate (HR, 0.88; 95% CI, 0.81-0.94) compared with no clinic visit. There were no synergistic effects of all 3 components compared with clinic visit alone (HR, 1.05; 95% CI, 0.87-1.28). Conclusions and Relevance: This study found that HF-TCP as a whole was not associated with a reduction in 30-day readmission rates, although a follow-up clinic visit within 7 days of discharge may be helpful. These findings highlight the importance of continuous quality improvement and refinement of existing clinical programs.

Applying the pragmatic-explanatory continuum indicator summary to the implementation of a physical activity coaching trial in chronic obstructive pulmonary disease.

BACKGROUND: Observational studies show that physical inactivity is associated with worse outcomes in chronic obstructive pulmonary disease (COPD). Despite practice guidelines recommending regular physical activity (PA), there are no large-scale experimental studies to confirm that patients at high risk for COPD exacerbations can increase their PA and consequently, have improved outcomes. PURPOSE: The purpose of this case study is to describe the use of a widely accepted pragmatic trials framework for the design and implementation of a pragmatic clinical trial (PCT) of PA coaching for COPD in a real-world setting. METHOD: The aim of the trial was to determine the effectiveness of a 12-month PA coaching intervention (Walk On!) compared to standard care for 2,707 patients at high risk for COPD exacerbations from a large integrated health care system. The descriptions of our implementation experiences are anchored within the pragmatic-explanatory continuum indicator summary (PRECIS-2) framework. DISCUSSION: Facilitators of PCT implementation include early and ongoing engagement and support of multiple stakeholders including patients, health system leaders, administrators, physician champions, and frontline clinicians, an organizational/setting that prioritizes positive lifestyle behaviors, and a flexible intervention that allows for individualization. Pragmatic challenges include reliance on electronic data that are not complete or available in real-time for patient identification, timing of outreach may not synchronize with patients' readiness for change, and high turnover of clinical staff drawn from the existing workforce. DISCUSSION: PRECIS-2 is a useful guide for organizing decisions about study designs and implementation approaches to help diverse stakeholders recognize the compromises between internal and external validity with those decisions.

Understanding Facilitators and Barriers to Care Transitions: Insights from Project ACHIEVE Site Visits.

BACKGROUND: Care transitions between clinicians or settings are often fragmented and marked by adverse events. To increase patient safety and deliver more efficient and effective health care, new ways to optimize these transitions need to be identified. A study was conducted to delineate facilitators and barriers to implementation of transitional care services at health systems that may have been adopted or adapted from published evidence-based models. METHODS: From March 2015 through December 2015, site visits were conducted across the United States at 22 health care organizations-community hospitals, academic medical centers, integrated health systems, and broader community partnerships. At each site, direct observation and document review were conducted, as were semistructured interviews with a total of 810 participants (5 to 57 participants per site) representing various stakeholder groups, including management and leadership, transitional care team members, internal stakeholders, community partners, patients, and family caregivers. RESULTS: Facilitators of effective care transitions included collaborating within and beyond the organization, tailoring care to patients and caregivers, and generating buy-in among staff. Commonly reported barriers included poor integration of transitional care services, unmet patient or caregiver needs, underutilized services, and lack of physician buy-in. CONCLUSION: True community partnership, high-quality communication, patient and family engagement, and ongoing evaluation and adaptation of transitional care strategies are ultimately needed to facilitate effective care transitions. Health care organizations can strategically prioritize transitional care service delivery through staffing decisions, by making transitional care part of the organization's formal board agenda, and by incentivizing excellence in providing transitional care services.

Completion of an Outpatient Visit After Skilled Nursing Facility Discharge and Readmission Risk.

OBJECTIVES: Examine the association between completion of an outpatient visit with a physician or advanced practice provider (PCP) within 7 days of discharge from a short skilled nursing facility (SNF) stay and 30-day readmission and determine if functional status at discharge moderates visit effectiveness. DESIGN: Retrospective cohort study. SETTING: Large integrated health care system. PARTICIPANTS: Adults 65 years and older, discharged home from a short SNF stay (n = 4073). INTERVENTION: None. MEASUREMENTS: Exposure is completion of an outpatient visit with a PCP within 7 days of discharge from an SNF. Primary outcome is readmission within 30 days of SNF discharge. Covariates included gender, risk score for readmission or early death, medical or surgical hospitalization, SNF facility, SNF length of stay, SNF stay in the previous 12 months, discharge to home or home health, and discharge functional independence measures (FIM). RESULTS: A total of 476 (11.6%) patients were readmitted within 30 days of SNF discharge. Patients who completed an outpatient visit with a PCP within 7 days of SNF discharge had a 23% higher risk of being readmitted compared to patients who did not complete any visit (hazard ratio [HR] 1.23, 95% confidence interval [CI] 1.01-1.50). Patients who had FIM scores ≥80 and completed a visit had an increased readmission risk (HR 1.37, 95% CI 1.04-1.79); the increased risk was not seen for those with worse functional impairment, FIM <80 (HR 1.11, 95% CI 0.85-1.46). CONCLUSION: The finding of increased risk of readmission post SNF discharge with completion of an outpatient visit likely reflects inadequate adjustment for selection bias in this observational study, which strongly argues for the need to design prospective studies to test transitional care services post SNF discharge.

Physical activity assessed in routine care predicts mortality after a COPD hospitalisation.

The independent relationship between physical inactivity and risk of death after an index chronic obstructive pulmonary disease (COPD) hospitalisation is unknown. We conducted a retrospective cohort study in a large integrated healthcare system. Patients were included if they were hospitalised for COPD between January 1, 2011 and December 31, 2011. All-cause mortality in the 12 months after discharge was the primary outcome. Physical activity, expressed as self-reported minutes of moderate to vigorous physical activity (MVPA), was routinely assessed at outpatient visits prior to hospitalisation. 1727 (73%) patients were inactive (0 min of MVPA per week), 412 (17%) were insufficiently active (1-149 min of MVPA per week) and 231 (10%) were active (≥150 min of MVPA per week). Adjusted Cox regression models assessed risk of death across the MVPA categories. Among 2370 patients (55% females and mean age 73±11 years), there were 464 (20%) deaths. Patients who were insufficiently active or active had a 28% (adjusted HR 0.72 (95% CI 0.54-0.97), p=0.03) and 47% (adjusted HR 0.53 (95% CI 0.34-0.84), p<0.01) lower risk of death, respectively, in the 12 months following an index COPD hospitalisation compared to inactive patients. Any level of MVPA is associated with lower risk of all-cause mortality after a COPD hospitalisation. Routine assessment of physical activity in clinical care would identify persons at high risk for dying after COPD hospitalisation.

Patient-centered physical activity coaching in COPD (Walk On!): A study protocol for a pragmatic randomized controlled trial.

BACKGROUND: Physical inactivity is significantly associated with more frequent hospitalizations and increased mortality in COPD even after adjusting for disease severity. While practice guidelines recommend regular physical activity for all patients with COPD, health systems are challenged in operationalizing an effective and sustainable approach to assist patients in being physically active. METHODS: A pragmatic randomized controlled trial design was used to determine the effectiveness of a 12-month home and community-based physical activity coaching intervention (Walk On!) compared to standard care for 1650 patients at high risk for COPD exacerbations from a large integrated health care system. Eligible patients with a COPD-related hospitalization, emergency department visit, or observational stay in the previous 12months were automatically identified from the electronic medical records (EMR) system and randomized to treatment arms. The Walk On! intervention included collaborative monitoring of step counts, semi-automated step goal recommendations, individualized reinforcement from a physical activity coach, and peer/family support. RESULTS: The primary composite outcome included all-cause hospitalizations, emergency department visits, observational stays, and death in the 12months following randomization. Secondary outcomes included COPD-related utilization, cardio-metabolic markers, physical activity, symptoms, and health-related quality of life. With the exception of patient reported outcomes, all utilization and clinical variables were automatically captured from the EMR. CONCLUSIONS: If successful, findings from this multi-stakeholder driven trial of a generalizable and scalable physical activity intervention, carefully designed with sufficient flexibility, intensity, and support for a large ethnically diverse sample could re-define the standard of care to effectively address physical inactivity in COPD.

Impact of pulmonary rehabilitation on hospitalizations for chronic obstructive pulmonary disease among members of an integrated health care system.

PURPOSE: The evidence regarding the effects of pulmonary rehabilitation (PR) on health care resource use remains limited. This retrospective study evaluated the effects of PR on the primary outcome of all-cause hospitalizations and secondary outcomes of other health care use, exercise capacity, health-related quality of life (HRQOL), and body weight in patients with chronic obstructive pulmonary disease (COPD) in a large integrated health care system. METHODS: The PR cohort included 558 patients with a COPD diagnosis, age ≥ 40 years, who were treated with a bronchodilator or steroid inhaler, participated in 1 of 13 PR programs between January 1, 2008, and August 1, 2013, and were continuously enrolled in the health plan ≥ 12 months prior to and after PR. Two non-PR control cohorts were assembled for comparison. Data were extracted from electronic health records. The 6-minute walk test and St. George's Respiratory Questionnaire results were available for a subset. RESULTS: The proportion of patients who were hospitalized 12 months post-PR was lower compared with the 12 months prior (37% vs 45%, P = .001) while emergency department use was not different (52% vs 54%). Patients who declined PR for logistical reasons had a 40% higher risk of hospitalization than PR participants (relative risk = 1.40, 95% CI: 0.96-2.06, P = .08). There were significant improvements in the 6-minute walk test distance (+43 m) and the St. George's Respiratory Questionnaire total score (-9.6 points) but minimal changes in weight. CONCLUSIONS: Our finding that participation in PR is associated with reductions in hospitalizations corroborates previous studies. A notable strength of this study is the capture of complete utilization data.

Functional status at discharge and 30-day readmission risk in COPD.

BACKGROUND: Efforts to reduce 30-day readmissions are resource intensive. Healthcare systems need to target interventions at patients with the highest risk. Information on physical functioning has been found to increase the performance of previously published risk prediction models. We examined whether functional status documented during routine nursing care in the 24 h prior to discharge was an independent predictor of 30-day readmission risk in patients with COPD. METHODS: Patients from a large integrated healthcare system were included in this retrospective cohort study if they were hospitalized for COPD and discharged between January 1, 2011, and December 31, 2012, age 40+, on a bronchodilator or steroid inhaler, alive at discharge, and continuously enrolled in the health plan 12 months prior to the index admission and at least 30-days post discharge. Our main outcome was 30-day all-cause readmission. Functional status was documented as part of routine nursing care within 24 h prior to discharge as follows: bed bound (Level I), able to sit (Level II), stand next to bed (Level III), walk <50 feet (Level IV), and walk >50 feet (Level V). RESULTS: The sample included 2910 patients (n = 3631 index admissions) with a mean age of 72 ± 11. The 30-day readmission rate was 19%. Multivariate analyses showed that patients who were non-ambulatory at discharge (Levels I-III) were more than twice as likely to be re-admitted within 30-days compared to patients who were able to walk more than 50 feet (RR: 2.14, 95% CI 1.62-2.84, p < .001). There was no significant difference in readmission risk between patients classified as Level IV or V (p > .05). CONCLUSION: Patients with COPD who were non-ambulatory within 24 h prior to discharge were at significantly greater risk of readmission compared to ambulatory patients. Functional status should be used to risk stratify patients for more intensive supportive interventions post discharge.

Associations between physical activity and 30-day readmission risk in chronic obstructive pulmonary disease.

RATIONALE: Efforts to reduce 30-day readmission have mostly concentrated on addressing deficiencies in care transitions and outpatient management after discharge. There is growing evidence to suggest that physical inactivity is associated with increased hospitalizations. OBJECTIVES: We examined whether or not a potentially modifiable factor such as regular physical activity at baseline was associated with lower risk of 30-day readmission in patients with chronic obstructive pulmonary disease (COPD). METHODS: Patients from a large integrated health system were included in this retrospective cohort study if they were hospitalized for COPD (following the Centers for Medicare and Medicaid Services and National Quality Forum proposed criteria) and discharged between January 1, 2011 and December 31, 2012, aged 40 years or older, on a bronchodilator or steroid inhaler, alive at discharge, and continuously enrolled in the health plan 12 months before the index admission and at least 30 days post discharge. Our main outcome was 30-day all-cause readmission. Regular physical activity was routinely assessed at the time of all outpatient visits and expressed as the total minutes of moderate or vigorous physical activity (MVPA) per week. MEASUREMENTS AND MAIN RESULTS: The sample included a total of 4,596 patients (5,862 index admissions) with a mean age of 72.3 ± 11 years. The 30-day readmission rate was 18%, with 59% of readmissions occurring in the first 15 days. Multivariate adjusted analyses showed that patients reporting any level of MPVA had a significantly lower risk of 30-day readmission compared with inactive patients (1-149 min/wk of MVPA: relative risk, 0.67; 95% confidence interval, 0.55-0.81; ≥150 min/wk of MVPA: relative risk, 0.66; 95% confidence interval, 0.51-0.87). Other significant independent predictors of increased readmission included anemia, prior hospitalizations, longer lengths of stay, more comorbidities, receipt of a new oxygen prescription at discharge, use of the emergency department or observational stay before the readmission (all, P < 0.05), and being unpartnered (P = 0.08). CONCLUSIONS: Our findings further support the importance of physical activity in the management of COPD across the care continuum. Although it is possible that lower physical activity is a reflection of worse disease, promoting and supporting physical activity is a promising strategy to reduce the risk of readmission.

A responder analysis of the effects of yoga for individuals with COPD: who benefits and how?

BACKGROUND: We previously reported that a twice-weekly, modified Iyengar yoga program was a safe and viable self-management strategy for patients with chronic obstructive pulmonary disease (COPD). 1 OBJECTIVE: The primary purpose of this exploratory analysis was to classify yoga participants into 1 of 3 responder categories by using minimum clinically important difference (MCID) criteria for each of 3 variables: 6-minute walk distance (6MW), distress related to dyspnea (shortness of breath; DD), and functional performance (FPI). Changes in health-related quality of life (HRQL) and in psychological well-being (anxiety and depression), and participants' self-reported improvements by responder category were also examined. A secondary goal was to identify baseline participant characteristics, including initial randomization assignment that might predict response to treatment. METHODS: Participants were randomly assigned to either an initial yoga (IY) or an enhanced wait-list control (WLC) group. Those in the WLC group were offered the yoga program immediately following the IY group's participation. Individuals from both groups who completed at least 18 of 24 yoga classes were categorized as responders, partial responders, or non-responders for each of the 3 outcome variables (6MW, DD, FPI) on the basis of MCID criteria. Baseline characteristics and changes in HRQL and psychological well-being were also analyzed. RESULTS: None of the participants demonstrated MCIDs for all 3 outcomes; however, 6 were classified as responders for 2 out-come variables and 4 were classified as non-responders for all 3 outcome variables. Two-thirds of the female participant group and one-third of the male participant group completed the yoga program. DD responders showed increased anxiety levels, whereas anxiety levels of the DD non-responders remained unchanged. FPI responders reported significant improvements in physical function, whereas partial and non-FPI responders noted declined function. Participants assigned to the IY group demonstrated greater benefit from yoga than did those in the W LC group. CONCLUSIONS: Although this modified Iyengar yoga program appears to have benefited some individuals with COPD, further studies are required to assess who the intervention works for and under what conditions.

Yoga therapy decreases dyspnea-related distress and improves functional performance in people with chronic obstructive pulmonary disease: a pilot study.

BACKGROUND: There has been limited study of yoga training as a complementary exercise strategy to manage the symptom of dyspnea in patients with chronic obstructive pulmonary disease (COPD). PURPOSE: The primary purpose of this pilot study was to evaluate a yoga program for its safety, feasibility, and efficacy for decreasing dyspnea intensity (DI) and dyspnea-related distress (DD) in older adults with COPD. METHODS: Clinically stable patients with COPD (n = 29; age 69.9 +/- 9.5; forced expiratory volume in 1 second (FEV(1)) 47.7 +/- 15.6% predicted; female = 21) were randomized to a 12-week yoga program specifically designed for people with COPD or usual-care control (UC). The twice-weekly yoga program included asanas (yoga postures) and visama vritti pranayama (timed breathing). Safety measure outcomes included heart rate, oxygen saturation, dyspnea, and pain. Feasibility was measured by patient-reported enjoyment, difficulty, and adherence to yoga sessions. At baseline and at 12 weeks, DI and DD were measured during incremental cycle ergometry and a 6-minute walk (6MW) test. Secondary efficacy outcomes included physical performance, psychologic well-being, and health-related quality of life (HRQoL). RESULTS: Yoga training was safe and feasible for patients with COPD. While yoga training had only small effects on DI after the 6MW test (effect size [ES], 0.20; p = 0.60), there were greater reductions in DD in the yoga group compared to UC (ES, 0.67; p = 0.08). Yoga training also improved 6MW distance (+71.7 +/- 21.8 feet versus -27.6 +/- 36.2 feet; ES = 0.78, p = 0.04) and self-reported functional performance (ES = 0.79, p = 0.04) compared to UC. There were small positive changes in muscle strength and HRQoL. CONCLUSIONS: Elderly patients with COPD participated safely in a 12-week yoga program especially designed for patients with this chronic illness. After the program, the subjects tolerated more activity with less DD and improved their functional performance. These findings need to be confirmed in a larger, more sufficiently powered efficacy study.