2024 Update of The Society of Thoracic Surgeons Short-term Esophagectomy Risk Model: More Inclusive and Improved Calibration.

BACKGROUND: The Society of Thoracic Surgeons General Thoracic Surgery Database (STS-GTSD) previously reported short-term risk models for esophagectomy for esophageal cancer. We sought to update existing models using more inclusive contemporary cohorts, with consideration of additional risk factors based on clinical evidence. METHODS: The study population consisted of adult patients in the STS-GTSD who underwent esophagectomy for esophageal cancer between January 2015 and December 2022. Separate esophagectomy risk models were derived for 3 primary end points: operative mortality, major morbidity, and composite morbidity or mortality. Logistic regression with backward selection was used, with predictors retained in models if P < .10. All derived models were validated using 9-fold cross-validation. Model discrimination and calibration were assessed for the overall cohort and specified subgroups. RESULTS: A total of 18,503 patients from 254 centers underwent esophagectomy for esophageal cancer. Operative mortality, morbidity, and composite morbidity or mortality rates were 3.4%, 30.5%, and 30.9%, respectively. Novel predictors of short-term outcomes in the updated models included body surface area and insurance payor type. Overall discrimination was similar or superior to previous STS-GTSD models for operative mortality (C statistic = 0.72) and for composite morbidity or mortality (C statistic = 0.62), Model discrimination was comparable across procedure- and demographic-specific subcohorts. Model calibration was excellent in all patient subgroups. CONCLUSIONS: The newly derived esophagectomy risk models showed similar or superior performance compared with previous models, with broader applicability and clinical face validity. These models provide robust preoperative risk estimation and can be used for shared decision making, assessment of provider performance, and quality improvement.

Operating Room Extubation for Patients Undergoing Cardiac Surgery: A National Society of Thoracic Surgeons Database Analysis.

BACKGROUND: The utility of operating room extubation (ORE) after cardiac surgery over fast-track extubation (FTE) within 6 hours remains contested. We hypothesized ORE would be associated with equivalent rates of morbidity and mortality, relative to FTE. METHODS: Patients undergoing nonemergent cardiac surgery were identified in The Society of Thoracic Surgeons Adult Cardiac Surgery Database between July 2017 and December 2022. Only procedures with The Society of Thoracic Surgeons risk models were included. Risk-adjusted outcomes of ORE and FTE were compared by observed-to-expected ratios with 95% CIs aggregated over all procedure types, and ORE vs FTE adjusted odds ratios (ORs) specific to each procedure type using multivariable logistic regression. Analyzed outcomes were operative mortality, prolonged length of stay, composite reoperation for bleeding and reintubation, and composite morbidity and mortality. RESULTS: The study population of 669,099 patients across 1069 hospitals included 36,298 ORE patients in 296 hospitals. Risk-adjusted analyses found that ORE was associated with statistically similar or better results across each of the 4 outcomes and procedure subtypes. Notably, rates of postoperative mortality were significantly lower in ORE patients undergoing coronary artery bypass grafting (OR, 0.54; 95% CI, 0.46-0.65), aortic valve replacement (OR, 0.43; 95% CI, 0.24-0.77), and mitral valve replacement (OR, 0.48; 95% CI, 0.26-0.89). CONCLUSIONS: Extubation in the OR was safe and effective in a selected patient population and may be associated with superior outcomes in coronary artery bypass, aortic valve replacement, and mitral valve replacement. These national data appear to confirm institutional experiences regarding the potential benefit of OR extubation. Further refinement of optimal populations may justify randomized investigation.

The association of self-perceived changes due to COVID-19 with mental and physical health among adult primary care patients with multiple chronic conditions: A US-based longitudinal study.

Introduction: This study explores the association between self-perceived personal and community changes due to COVID-19 and health among vulnerable primary care patients experiencing multiple chronic conditions. Methods: Between September 2017 and February 2021, we obtained data from 2,426 primary care patients managing multiple chronic conditions from across the United States. We assessed the relationship between self-perceived personal and community changes due to COVID-19 and change in health measured by the PROMIS-29 mental and physical health summary scores, GAD-7 (anxiety), andPHQ-9 (depression), and DASI (functional capacity) adjusting for relevant demographic, neighborhood characteristics, and county covariates. Results: After adjustment, self-perceived personal and community changes due to COVID-19 were associated with significantly worse mental health summary scores (ß = -0.55; 95% Confidence Interval (CI) = -0.72, -0.37), anxiety (ß = 0.28; 95% CI = 0.16, 0.39), depression (ß = 0.35; 95% CI = 0.22, 0.47), and physical health summary scores (ß = -0.44; 95% CI = 0.88, 0.00). There was no association with functional capacity (ß = - 0.05; 95% CI = -0.16, 0.05). Discussion: Among adults managing multiple chronic conditions, self-perceived personal and community changes due to COVID-19 were associated with health. This vulnerable population may be particularly susceptible to the negative effects of COVID-19. As we do not know the long-term health effects of COVID, this paper establishes a baseline of epidemiological data on COVID-19 burden and health among primary care patients with multiple chronic conditions.

A Cluster Randomized Trial of Primary Care Practice Redesign to Integrate Behavioral Health for Those Who Need It Most: Patients With Multiple Chronic Conditions.

PURPOSE: Patient outcomes can improve when primary care and behavioral health providers use a collaborative system of care, but integrating these services is difficult. We tested the effectiveness of a practice intervention for improving patient outcomes by enhancing integrated behavioral health (IBH) activities. METHODS: We conducted a pragmatic, cluster randomized controlled trial. The intervention combined practice redesign, quality improvement coaching, provider and staff education, and collaborative learning. At baseline and 2 years, staff at 42 primary care practices completed the Practice Integration Profile (PIP) as a measure of IBH. Adult patients with multiple chronic medical and behavioral conditions completed the Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey. Primary outcomes were the change in 8 PROMIS-29 domain scores. Secondary outcomes included change in level of integration. RESULTS: Intervention assignment had no effect on change in outcomes reported by 2,426 patients who completed both baseline and 2-year surveys. Practices assigned to the intervention improved PIP workflow scores but not PIP total scores. Baseline PIP total score was significantly associated with patient-reported function, independent of intervention. Active practices that completed intervention workbooks (n = 13) improved patient-reported outcomes and practice integration (P ≤ .05) compared with other active practices (n = 7). CONCLUSION: Intervention assignment had no effect on change in patient outcomes; however, we did observe improved patient outcomes among practices that entered the study with greater IBH. We also observed more improvement of integration and patient outcomes among active practices that completed the intervention compared to active practices that did not. Additional research is needed to understand how implementation efforts to enhance IBH can best reach patients.

Practice-Level Documentation of Alcohol-Related Problems in Primary Care.

Importance: Rates of alcohol-associated deaths increased over the past 20 years, markedly between 2019 and 2020. The highest rates are among individuals aged 55 to 64 years, primarily attributable to alcoholic liver disease and psychiatric disorders due to use of alcohol. This study investigates potential geographic disparities in documentation of alcohol-related problems in primary care electronic health records, which could lead to undertreatment of alcohol use disorder. Objective: To identify disparities in documentation of alcohol-related problems by practice-level social deprivation. Design, Setting, and Participants: A cross-sectional study using secondary data from the Integrating Behavioral Health and Primary Care clinical trial (September 21, 2017, to January 8, 2021) was performed. A national sample of 44 primary care practices with co-located behavioral health services was included in the analysis. Patients with 2 primary care visits within 2 years and at least 1 chronic medical condition and 1 behavioral health condition or at least 3 chronic medical conditions were included. Exposure: The primary exposure was practice-level Social Deprivation Index (SDI), a composite measure based on county income, educational level, employment, housing, single-parent households, and access to transportation (scores range from 0 to 100; 0 indicates affluent counties and 100 indicates disadvantaged counties). Main Outcomes and Measures: Documentation of an alcohol-related problem in the electronic health record was determined by International Classification of Diseases, 9th Revision, Clinical Modification and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification codes or use of medications for alcohol use disorder in past 2 years. Multivariable models adjusted for alcohol consumption, screening for a substance use disorder, urban residence, age, sex, race and ethnicity, income, educational level, and number of chronic health conditions. Results: A total of 3105 participants (mean [SD] age, 63.7 [13.0] years; 64.1% female; 11.5% Black, 7.0% Hispanic, 76.7% White, and 11.9% other race or chose not to disclose; 47.8% household income <$30 000; and 80.7% urban residence). Participants had a mean (SD) of 4.0 (1.7) chronic conditions, 9.1% reported higher-risk alcohol consumption, 4% screened positive for substance use disorder, and 6% had a documented alcohol-related problem in the electronic health record. Mean (SD) practice-level SDI score was 45.1 (20.9). In analyses adjusted for individual-level alcohol use, demographic characteristics, and health status, practice-level SDI was inversely associated with the odds of documentation (odds ratio for each 10-unit increase in SDI, 0.89; 95% CI, 0.80 to 0.99; P = .03). Conclusions and Relevance: In this study, higher practice-level SDI was associated with lower odds of documentation of alcohol-related problems, after adjusting for individual-level covariates. These findings reinforce the need to address primary care practice-level barriers to diagnosis and documentation of alcohol-related problems. Practices located in high need areas may require more specialized training, resources, and practical evidence-based tools that are useful in settings where time is especially limited and patients are complex.

The Association Between Depression and Substance Use Among Primary Care Patients With Comorbid Medical and Behavioral Health Conditions.

INTRODUCTION: The scope of primary care increasingly encompasses patient behavioral health problems, manifest typically through depression screening and treatment. Although substance use is highly comorbid with depression, it is not commonly identified and addressed in the primary care context. This study aimed to examine the association between the likelihood of substance use disorder and increased depression severity, both cross-sectionally and longitudinally, among a sample of 2409 patients from 41 geographically dispersed and diverse primary care clinics across the US. METHODS: This is secondary analysis of data obtained from a multi-site parent study of integrated behavioral health in primary care, among patients with both chronic medical and behavioral health conditions. Patient reported outcome surveys were gathered from patients at 3 time points. The primary care practices were blind to which of their patients completed surveys. Included were standardized measures of depression severity (Patient Health Questionnaire-9) [PHQ-9] and substance use disorder likelihood (Global Appraisal of Individual Needs-Short Screener [GSS]). RESULTS: Four percent of the study population screened positive for substance use disorder. PHQ-9 scores indicated depression among 43% of all patients. There was a significant association between the likelihood of substance use disorder and depression initially, at a 9-month follow-up, and over time. These associations remained significant after adjusting for age, gender, race, ethnicity, education, income, and other patient and contextual characteristics. CONCLUSIONS: The findings suggest that substance use disorder is associated with depression severity cross-sectionally and over time. Primary care clinics and health systems might consider implementing substance use screening in addition to the more common screening strategies for depression. Especially for patients with severe depression or those who do not respond to frontline depression treatments, the undermining presence of a substance use disorder should be explored.

Predictors of inflammatory arthritis among new rheumatology referrals: a cross-sectional study.

Objectives: Early diagnosis and treatment of inflammatory arthritis (IA) is essential to optimize disease control. We aimed to identify variables that distinguish IA from non-inflammatory arthropathy by performing a cross-sectional study of rheumatology referral letters and visit records. Further work describes time to assessment and documentation of variables within referral letters. Methods: We reviewed rheumatology referral letters and new patient visits over a 6-month period. The diagnosis of IA was based on the clinical judgement of the assessing rheumatologist. IA diagnoses included RA, SpAs, unspecified IA, PMR, crystalline arthropathies and remitting seronegative symmetrical synovitis with pitting oedema. Univariate analysis was performed for each variable. Multivariable logistic regression was performed on statistically significant variables. Results: Of 697 patients referred for arthralgia, 25.7% were diagnosed with IA. Variables predictive of IA included tenderness and swelling on examination and ≥1 h of morning stiffness. Increasing arthralgia duration, fatigue and brain fog were negative predictors. The median time from referral to IA diagnosis was 55 days and 20.7% of these patients were seen within 6 weeks. Among referral letters, documentation of arthralgia duration, morning stiffness or joint examination findings was uncommon (31%, 20.5% and 56.7%, respectively). Conclusion: We identified positive and negative predictors of IA. Referral letters often missed key information required for the triaging process. Future efforts will be directed towards build a triaging tool to improve the referral quality and capture of those patients with IA who need earlier access to rheumatology care.

Comparison of mRNA vaccine effectiveness against COVID-19-associated hospitalization by vaccination source: Immunization information systems, electronic medical records, and self-report-IVY Network, February 1-August 31, 2022.

BACKGROUND: Accurate determination of COVID-19 vaccination status is necessary to produce reliable COVID-19 vaccine effectiveness (VE) estimates. Data comparing differences in COVID-19 VE by vaccination sources (i.e., immunization information systems [IIS], electronic medical records [EMR], and self-report) are limited. We compared the number of mRNA COVID-19 vaccine doses identified by each of these sources to assess agreement as well as differences in VE estimates using vaccination data from each individual source and vaccination data adjudicated from all sources combined. METHODS: Adults aged ≥18 years who were hospitalized with COVID-like illness at 21 hospitals in 18 U.S. states participating in the IVY Network during February 1-August 31, 2022, were enrolled. Numbers of COVID-19 vaccine doses identified by IIS, EMR, and self-report were compared in kappa agreement analyses. Effectiveness of mRNA COVID-19 vaccines against COVID-19-associated hospitalization was estimated using multivariable logistic regression models to compare the odds of COVID-19 vaccination between SARS-CoV-2-positive case-patients and SARS-CoV-2-negative control-patients. VE was estimated using each source of vaccination data separately and all sources combined. RESULTS: A total of 4499 patients were included. Patients with ≥1 mRNA COVID-19 vaccine dose were identified most frequently by self-report (n = 3570, 79 %), followed by IIS (n = 3272, 73 %) and EMR (n = 3057, 68 %). Agreement was highest between IIS and self-report for 4 doses with a kappa of 0.77 (95 % CI = 0.73-0.81). VE point estimates of 3 doses against COVID-19 hospitalization were substantially lower when using vaccination data from EMR only (VE = 31 %, 95 % CI = 16 %-43 %) than when using all sources combined (VE = 53 %, 95 % CI = 41 %-62%). CONCLUSION: Vaccination data from EMR only may substantially underestimate COVID-19 VE.

Severely Reduced Kidney Function Assessed by a Single eGFR Determination at the Time of an Isolated Heart Transplant Does Not Predict Inevitable Posttransplant ESKD.

BACKGROUND: Consensus guidelines advise simultaneous heart kidney transplantation (SHK) in heart candidates with an estimated glomerular filtration rate (eGFR) of <30 mL/min/1.73 m 2 . We hypothesize that a significant fraction of such patients would not need an SHK, even though a graded increase in mortality and end-stage kidney disease (ESKD) would be seen with decrements in eGFR. METHODS: United Network of Organ Sharing data for isolated heart transplants between 2000 and 2020 were divided into two groups based on eGFR at transplant (≤20 mL/min/1.73 m 2 and 21-29 mL/min/1.73 m 2 ). The primary outcome was mortality and secondary outcome was ESKD posttransplant. Cox regression and cumulative incidence competing risk methods were used to compare risk of mortality and ESKD. RESULTS: There was no difference in mortality (adjusted hazard ratio [aHR] 0.82 [95% confidence interval, CI: 0.60-1.11, P = 0.21]) or ESKD (aHR 1.01 [95% CI: 0.49-2.09, P = 0.96]) between the two groups (≤20 versus 21-29). The overall incidence of ESKD for the entire cohort at 1, 5, and 10 y were 1.5%, 9.5%, and 20%. CONCLUSIONS: Although risk of ESKD is highest in heart candidates with an eGFR <30 mL/min/1.73 m 2 , <10% of patients reach ESKD within 5 y' and most will recover significant renal function posttransplant. More refined selection criteria are required to identify candidates for SHK.

Existential distress and meaning making among female breast cancer patients with cancer-related fertility concerns.

OBJECTIVES: The current study explored the impact of cancer-related fertility concerns on existential distress and meaning making among female breast cancer (BC) patients of childbearing age and assessed support needs. METHODS: The current study was embedded within a larger study. A seven-question online survey was administered to female BC participants to explore meaning and identity in their lives. Applied thematic analysis was used to analyze participants' written responses. RESULTS: A total of 98 participants completed the survey, the majority of whom identified as white, married or partnered, and employed full time and with stage I or II BC. More than 50% of the participants expressed a need for support from a counselor or support group during their cancer experience. Three subthemes emerged related to existential distress and cancer-related fertility concerns: (1) loss of womanhood: treatment-related physical changes impact on gender identity; (2) existential distress due to treatment decisions impacting fertility; and (3) shattered vision: cancer-related infertility impact on meaning and purpose. Four subthemes emerged related to meaning making with fertility-related existential concerns: (1) coping with loss of meaning, (2) re-evaluating priorities in life; (3) resilience to loss, and (4) persistent loss of meaning. SIGNIFICANCE OF RESULTS: Study results offer valuable insights into the experiences of female BC survivors' cancer-related fertility on existential distress and meaning making. Development of psychological interventions targeted to support this population to cope with existential distress due to cancer-related fertility concerns and meaning making are needed to improve the quality of life of this population.

Urban-Rural Differences in Mental and Physical Health among Primary Care Patients with Multiple Chronic Conditions: A Secondary Analysis from a Randomized Clinical Trial.

PURPOSE: Rural health disparities are largely attributable to access to healthcare, socioeconomic status, and health behaviors. Little is known about the persistence of these disparities when differences in access to care are eliminated. We sought to investigate urban-rural differences in physical and mental health in primary care patients with demonstrated access to primary care. METHODS: We obtained cross-sectional survey responses from a multicenter randomized controlled trial on 2726 adult primary care patients with multiple chronic medical or behavioral conditions from 42 primary care practices in 13 states. Study outcomes include measures of mental health including: The Patient-Reported Outcomes Measurement Information System (PROMIS-29®), General Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9), as well as physical health including: the PROMIS-29® and the Duke Activity Status Index (DASI). Urban-rural residence was indicated by census-tract Rural Urban Commuting Areas of the participant's home address. Differences in mental and physical health outcomes attributable to rurality were assessed using multilevel models with a random intercept for census-tract. RESULTS: After adjustment for demographic and neighborhood characteristics, urban residents had significantly worse generalized anxiety disorder (GAD-7) (ß = 0.7; 95% CI = 0.1, 1.3; p = 0.027), depression (PHQ-9) (ß = 0.7; 95% CI = 0.1, 1.4; p = 0.024), and functional capacity (DASI) (ß = -0.4; 95% CI = -0.5, -0.2; p < 0.001) compared to rural residents. Urban residents also had significantly worse anxiety and depression as measured by the PROMIS-29® compared to their rural counterparts. There were no urban-rural differences in the other PROMIS-29® subdomains. CONCLUSIONS: Among adults with demonstrated access to care and multiple diagnosed chronic conditions, rural residents had better mental health and functional capacity than their urban counterparts. This finding is not consistent with prior research documenting rural health disparities and should be confirmed.

Outcomes of Delay of Care After the Onset of COVID-19 for Patients Managing Multiple Chronic Conditions.

PURPOSE: Many patients delayed health care during COVID-19. We assessed the extent to which patients managing multiple chronic conditions (MCC) delayed care in the first months of the pandemic, reasons for delay, and impact of delay on patient-reported physical and behavioral health (BH) outcomes. METHODS: As part of a large clinical trial conducted April 2016-June, 2021, primary care patients managing MCC were surveyed about physical and behavioral symptoms and functioning. Surveys administered between September 3, 2020, and March 16, 2021, included questions about the extent of and reasons for any delayed medical and BH care since COVID-19. Multivariable linear regression was used to assess health outcomes as a function of delay of care status. RESULTS: Among patients who delayed medical care, 58% delayed more than once. Among those who delayed behavioral health care, 63% delayed more than once. Participants who delayed multiple times tended to be younger, female, unmarried, and reported food, financial, and housing insecurities and worse health. The primary reasons for delaying care were lack of availability of in-person visits and perceived lack of urgency. Participants who delayed care multiple times had significantly worse outcomes on nearly every measure of physical and mental health, compared with participants who delayed care once or did not delay. CONCLUSIONS: Delay of care was substantial. Patients who delayed care multiple times were in poorer health and thus in need of more care. Effective strategies for reengaging patients in deferred care should be identified and implemented on multiple levels. TRIAL REGISTRATION: ClinicalTrials.gov NCT02868983. Registered on August 16, 2016.

The Relationship Between Mental and Physical Health and Walking During the COVID-19 Pandemic.

INTRODUCTION: COVID-19 policies such as quarantining, social isolation, and lockdowns are an essential public health measure to reduce the spread of disease but may lead to reduced physical activity. Little is known if these changes are associated with changes in physical or mental health. METHODS: Between September 2017 and December 2018 (baseline) and March 2020 and February 2021 (follow-up), we obtained self-reported demographic, health, and walking (only at follow-up) data on 2042 adults in primary care with multiple chronic health conditions. We examined whether the perceived amount of time engaged in walking was different compared with prepandemic levels and if this was associated with changes in Patient-Reported Outcomes Measurement Information System-29 mental and physical health summary scores. Multivariable linear regression controlling for demographic, health, and neighborhood information were used to assess this association. RESULTS: Of the 2042 participants, 9% reported more walking, 28% reported less, and 52% reported the same amount compared with prepandemic levels. Nearly 1/3 of participants reported less walking during the pandemic. Multivariable models revealed that walking less or not at all was associated with negative changes in mental (ß = -1.0; 95% CI [-1.6, -0.5]; ß = -2.2; 95% CI [-2.9, -1.4]) and physical (ß = -0.9; 95% CI [-1.5, -0.3]; ß = -3.1; 95% CI [-4.0, -2.3]) health, respectively. Increasing walking was significantly associated with a positive change in physical health (ß = 1.3; 95% CI [0.3, 2.2]). CONCLUSIONS: These findings demonstrate the importance of walking during the COVID-19 pandemic. Promotion of physical activity should be taken into consideration when mandating restrictions to slow the spread of disease. Primary care providers can assess patient's walking patterns and implement brief interventions to help patients improve their physical and mental health through walking.

The U-shaped association of post-lung transplant mortality with pretransplant eGFR underscores possible limitations of creatinine-based estimation equations for risk stratification.

BACKGROUND: Pre-existing chronic kidney disease (CKD) may have an impact on post-lung transplant survival and the development of end stage kidney disease (ESKD). METHODS: We analyzed the US transplant database from 2006 to 2020. Adult patients who received their first lung transplant and were not on dialysis were included. Multivariable Cox regression was used to assess the effect of pretransplant eGFR on mortality and cumulative incidence competing risk was used to explore the effect on ESKD. RESULTS: The adjusted hazard ratio (aHR) for mortality showed a "U" shaped association with eGFR with a rising mortality at <60 and >100 ml/min/1.73m2. The increase in mortality with higher eGFR was only seen in those <30 year and were primarily in whites with a lower body mass index and in patients with cystic fibrosis (CF). The aHR for ESKD increased below an eGFR of 100 rising to 1.74 at an eGFR of 60. Any decrease in eGFR between listing and transplant >10% was associated with higher risk of ESKD. CONCLUSIONS: The U-shaped association of pretransplant eGFR with post-transplant mortality correlated with younger age, lower BMI and a diagnosis of CF. The aHR for ESKD following lung transplantation increased exponentially with worsening eGFR pretransplant.

Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties.

Background: The aim of this study was to explore the nonlinear relationships between natural amenities and health at the intersection of sociodemographic characteristics among primary care patients with chronic conditions. Methods: We used survey data from 3409 adults across 119 US counties. PROMIS-29 mental and physical health summary scores were the primary outcomes. The natural environment (measured using the County USDA Natural Amenities Scale (NAS)) was the primary predictor. Piecewise spline regression models were used to explore the relationships between NAS and health at the intersection of sociodemographic factors. Results: We identified a nonlinear relationship between NAS and health. Low-income individuals had a negative association with health with each increase in NAS in high-amenity areas only. However, White individuals had a stronger association with health with each increase in NAS in low-amenity areas. Conclusions: In areas with low natural amenities, more amenities are associated with better physical and mental health, but only for advantaged populations. Meanwhile, for disadvantaged populations, an increase in amenities in high-amenity areas is associated with decreases in mental and physical health. Understanding how traditionally advantaged populations utilize the natural environment could provide insight into the mechanisms driving these disparities.

Development and validation of the patient centeredness index for primary care.

AIMS AND OBJECTIVES: To describe the development of the Patient Centeredness Index (PCI), evaluate its psychometric characteristics and evaluate the relationships between scores on the PCI and an established measure of empathy. BACKGROUND: Patient centeredness helps patients manage multiple chronic conditions with their providers, nurses and other team members. However, no instrument exists for evaluating patient centeredness within primary care practices treating this population. DESIGN: Multi-site instrument development and validation. STROBE reporting guidelines were followed. METHODS: To identify themes, we consulted literature on patient centeredness and engaged stakeholders who had or were caring for people with multiple chronic conditions (n = 7). We composed and refined items to represent those themes with input from clinicians and researchers. To evaluate reliability and convergent validity, we administered surveys to participants (n = 3622) with chronic conditions recruited from 44 primary care practices for a large-scale cluster randomised clinical trial of the effects of a practice-level intervention on patient and practice-level outcomes. Participants chose to complete the 16-item survey online, on paper or by phone. Surveys assessed demographics, number of chronic conditions and ratings of provider empathy. We conducted exploratory factor analysis to model the interrelationships among items. RESULTS: A single factor explained 93% of total variance. Factor loadings ranged from 0.55-0.85, and item-test correlations were ≥.67. Cronbach's alpha was .93. A moderate, linear correlation with ratings of provider's empathy (r = .65) supports convergent validity. CONCLUSIONS: The PCI is a new tool for obtaining patient perceptions of the patient centeredness of their primary care practice. The PCI shows acceptable reliability and evidence of convergent validity among patients managing chronic conditions. RELEVANCE TO CLINICAL PRACTICE: The PCI rapidly identifies patients' perspectives on patient centeredness of their practice, making it ideal for administration in busy primary care settings that aim to efficiently address patient-identified needs. TRIAL REGISTRATION: Clinicaltrials.org Protocol ID: WLPS-1409-24372. TITLE: Integrating Behavioural Health and Primary Care for Comorbid Behavioural and Medical Problems (IBHPC).

Nonlinear relationship between nonresidential destinations and body mass index across a wide range of development.

BACKGROUND: Destination accessibility is an important measure of the built environment that is associated with active transport and body mass index (BMI). In higher density settings, an inverse association has been consistently found, but in lower density settings, findings are limited. We previously found a positive relationship between the density of nonresidential destinations (NRD) and BMI in a low-density state. We sought to test the generalizability of this unexpected finding using data from six other states that include a broader range of settlement densities. METHODS: We obtained the address, height, and weight of 16.9 million residents with a driver's license or state identification cards, as well as the location of 3.8 million NRDs in Washington, Oregon, Texas, Illinois, Michigan, and Maine from Dun & Bradstreet. We tested the association between NRDs∙ha-1 within 1 km of the home address, and self-reported BMI (kg∙m-2). Visualization by locally-weighted smoothing curves (LOWESS) revealed an inverted U-shape. A multivariable piecewise regression with a random intercept for state was used to assess the relationship. RESULTS: After accounting for age, sex, year of issue, and census tract social and economic variables, BMI correlated positively with NRDs in the low-to-mid density stratum (ß = +0.005 kg∙m-2/nonresidential building∙ha-1; 95% CI: +0.004,+0.006) and negatively in the mid-to-high density stratum (ß = -0.002; 95% CI: -0.004,-0.0003); a significant difference in slopes (P < 0.001). CONCLUSIONS: BMI peaked in the middle density, with lower values in both the low and high-density extremes. These results suggest that the mechanisms by which NRDs are associated with obesity may differ by density level.

Early Trajectories of Patient Reported Outcomes in Breast Cancer Patients Undergoing Lumpectomy Versus Mastectomy.

PURPOSE: This study was designed to: (1) characterize longitudinal patient-reported outcomes (PROs) between breast cancer patients undergoing lumpectomy and mastectomy and (2) compare return to baseline scores at 3 months and 6 months postoperatively. METHODS: Newly diagnosed breast cancer patients seen at an academic breast center between June 2019 and February 2021 were invited to participate in longitudinal PRO surveys at their initial clinic visit. If willing to participate, patients were emailed the validated BREAST-Q™ questionnaire at the initial clinic visit (baseline), 2 weeks after surgery, and then every 3 months for the first year. We used linear mixed models to estimate the differences in slopes over time between lumpectomy and mastectomy for each PRO measure. Pearson's Chi-square tests with Yates' continuity correction were used to compare proportions of patients who return to baseline PRO scores. P < 0.05 was considered significant. RESULTS: Of 164 patients invited to participate, 100 (61%) completed a baseline survey and were included in analyses. Mastectomy patients had significantly greater decreases in breast satisfaction (P = 0.002), psychosocial well-being (P < 0.0001), and sexual well-being (P < 0.0001) over time compared with lumpectomy patients. Both surgical groups reported a decrease in physical well-being, although the decline was more significant in lumpectomy patients (P = 0.005). At 3 months and 6 months after surgery, significantly larger proportions of lumpectomy patients returned to their baseline breast satisfaction, psychosocial well-being, and physical well-being compared with mastectomy patients. CONCLUSIONS: Understanding how outcomes important to patients change over the care continuum can provide opportunities for early intervention and may prevent debilitating long-term morbidities of treatment.

The Relationship Between Social Determinants of Health and Functional Capacity in Adult Primary Care Patients With Multiple Chronic Conditions.

PURPOSE: Social determinants of health (SDoH) including insecure access to food, housing, and financial resources are critical threats to overall health. We sought to examine this relationship among adult primary care patients with multiple chronic conditions. METHODS: We obtained cross-sectional data on 2763 adults with chronic medical and behavioral conditions or greater than 2 chronic medical conditions from a survey of participants in Integrating Behavioral Health and Primary Care, a multicenter randomized trial. RESULTS: The prevalence of 1 or more insecurities was reported in 29% of participants, including food (13%), housing (3%), or financial (25%). Functional capacity ranged from 2.74 to 9.89 metabolic equivalents (METs) (median, 6.05). The distribution of functional capacity was significantly lower for those with any 1 or more SDoH than for those without. Each insecurity independently affected the functional capacity in multivariable analysis. CONCLUSIONS: Among primary care patients with chronic conditions, SDoH are associated with poorer functional capacity, independent of other social and demographic factors. Primary care offers a promising, if underused, opportunity to intervene in SDoH. There is a need for future studies to explore the role of screening and intervention by primary care providers to mitigate or prevent SDoH.