Predictors of racial differences in weight loss: the PROPEL trial.

OBJECTIVE: Studies have consistently shown that African American individuals lose less weight in response to behavioral interventions, but the mechanisms leading to this result have been understudied. METHODS: Data were derived from the PROmoting Successful Weight Loss in Primary CarE in Louisiana (PROPEL) study, which was a cluster-randomized, two-arm trial conducted in primary care clinics. In the PROPEL trial, African American individuals lost less weight compared with patients who belonged to other racial groups after 24 months. In the current study, counterfactual mediation analyses among 445 patients in the intervention arm of PROPEL were used to determine which variables mediated the relationship between race and weight loss. The mediators included treatment engagement, psychosocial, and lifestyle factors. RESULTS: At 6 months, daily weighing mediated 33% (p = 0.008) of the racial differences in weight loss. At 24 months, session attendance and daily weighing mediated 35% (p = 0.027) and 66% (p = 0.005) of the racial differences in weight loss, respectively. None of the psychosocial or lifestyle variables mediated the race-weight loss association. CONCLUSIONS: Strategies specifically targeting engagement, such as improving session attendance and self-weighing behaviors, among African American individuals are needed to support more equitable weight losses over extended time periods.

Dietary intake during a pragmatic cluster-randomized weight loss trial in an underserved population in primary care.

BACKGROUND: Currently there are limited data as to whether dietary intake can be improved during pragmatic weight loss interventions in primary care in underserved individuals. METHODS: Patients with obesity were recruited into the PROPEL trial, which randomized 18 clinics to either an intensive lifestyle intervention (ILI) or usual care (UC). At baseline and months 6, 12, and 24, fruit and vegetable (F/V) intake and fat intake was determined. Outcomes were analyzed by repeated-measures linear mixed-effects multilevel models and regression models, which included random cluster (clinic) effects. Secondary analyses examined the effects of race, sex, age, and food security status. RESULTS: A total of 803 patients were recruited. 84.4% were female, 67.2% African American, 26.1% received Medicaid, and 65.5% made less than $40,000. No differences in F/V intake were seen between the ILI and UC groups at months 6, 12, or 24. The ILI group reduced percent fat at months 6, 12, and 24 compared to UC. Change in F/V intake was negatively correlated with weight change at month 6 whereas change in fat intake was positively associated with weight change at months 6, 12, and 24 for the ILI group. CONCLUSIONS: The pragmatic weight loss intervention in primary care did not increase F/V intake but did reduce fat intake in an underserved population with obesity. F/V intake was negatively associated with weight loss at month 6 whereas percent fat was positively correlated with weight loss throughout the intervention. Future efforts better targeting both increasing F/V intake and reducing fat intake may promote greater weight loss in similar populations. TRIAL REGISTRATION: NCT Registration: NCT02561221.

COVID-19 vaccination likelihood among federally qualified health center patients: Lessons learned for future health crises.

BACKGROUND: To prepare for rollout of a COVID-19 vaccine in fall 2020, there was an urgent need to understand barriers to ensuring equitable access and addressing vaccine skepticism and resistance. This study aimed to understand the association between trusted sources of COVID-19 information and likelihood of vaccination during that time, focusing on lessons learned to prepare for future public health crises. METHODS: From December 2020-March 2021, we surveyed a probability-based, cross-sectional sample of 955 patients across seven federally qualified health centers (FQHCs) serving predominantly low-income, Black and White populations in southeastern Louisiana. Vaccination likelihood was measured on a 7-point scale; "very likely to vaccinate" was defined as score=7. Trust in healthcare provider was measured with a single survey item. High trust in personal contacts, government, and media, respectively, were defined as the highest tertiles of summative scores of trust items. Weighted multivariable logistic regression estimated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for being very likely to vaccinate. RESULTS: Participants were 56% Black, 64% women, mean age 44.6 years; 33% were very likely to vaccinate. High trust in healthcare provider (aOR=4.14, 95% CI 2.26-7.57) and government sources (aOR=3.23, 95% CI 1.98-5.28) were associated with being very likely to vaccinate. CONCLUSIONS: During initial COVID-19 vaccination rollout, trust in healthcare providers and government sources of COVID-19 information was associated with likelihood to vaccinate in FQHC patients. To inform public health planning for future crises, we highlight lessons learned for translating community-relevant insights into direct action to reach those most impacted.

Initial weight loss and early intervention adherence predict long-term weight loss during the Promoting Successful Weight Loss in Primary Care in Louisiana lifestyle intervention.

OBJECTIVE: This study tested whether initial weight change (WC), self-weighing, and adherence to the expected WC trajectory predict longer-term WC in an underserved primary-care population with obesity. METHODS: Data from the intervention group (n = 452; 88% women; 74% Black; BMI 37.3 kg/m2 [SD: 4.6]) of the Promoting Successful Weight Loss in Primary Care in Louisiana trial were analyzed. Initial (2-, 4-, and 8-week) percentage WC was calculated from baseline clinic weights and daily at-home weights. Weights were considered adherent if they were on the expected WC trajectory (10% at 6 months with lower [7.5%] and upper [12.5%] bounds). Linear mixed-effects models tested whether initial WC and the number of daily and adherent weights predicted WC at 6, 12, and 24 months. RESULTS: Percentage WC during the initial 2, 4, and 8 weeks predicted percentage WC at 6 (R2 = 0.15, R2 = 0.28, and R2 = 0.50), 12 (R2 = 0.11, R2 = 0.19, and R2 = 0.32), and 24 (R2 = 0.09, R2 = 0.11, and R2 = 0.16) months (all p < 0.01). Initial daily and adherent weights were significantly associated with WC as individual predictors, but they only marginally improved predictions beyond initial weight loss alone in multivariable models. CONCLUSIONS: These results highlight the importance of initial WC for predicting long-term WC and show that self-weighing and adherence to the expected WC trajectory can improve WC prediction.

Clinical trial participation among underserved communities: Insights from the Louisiana Community Engagement Alliance.

BACKGROUND: Diverse, equitable and inclusive participation in clinical research is needed to ensure evidence-based clinical practice and lessen disparities in health outcomes. Yet, clinical trial participation remains critically low in minoritized communities, particularly among Blacks. The Louisiana Community Engagement Alliance against COVID-19 Disparities (LA-CEAL) was launched in response to the disproportionate impact of COVID-19 on Black Louisianans to understand community barriers and preferences and increase inclusive participation in research. This study aims to understand perceptions regarding COVID-19 trial participation among underrepresented Louisianans. METHODS: A rapid assessment integrating cross-sectional, surveys among federally qualified health center (FQHC) patients and community residents, and focus group discussions (FGDs) from community representatives was conducted in 2020-2021. Factors and perceptions underlying trial participation were identified using logistic regression models and thematic analyses, respectively. RESULTS: Quantitative findings (FQHC: N=908, mean age=46.6 years, 66.4% Black; community: N=504, mean age=54.2 years, 93.7% Black) indicated that 0.9% and 3.6%, respectively, ever participated in a COVID-19 trial. Doctors/Healthcare providers were most trusted (FQHC=55.1%; community=59.3%) sources of information about trials. Advancing age was associated with increased odds of being very willing to participate (ORFQHC=1.03, 95% CI 1.02-1.05; ORCommunity=1.02, 95% CI 1.00-1.04). Qualitative data (6 FGDs, 29 attendees) revealed limited awareness, experimentation/exploitation-based fears, and minimal racial/ethnic representation among trialists as barriers to participation. CONCLUSION: COVID-19 trial participation rates were low in our sample. Altruism was a key facilitator to participation; fear, mistrust, and low awareness were predominant barriers. Community-centered approaches, engaging informed providers and trusted community members, may facilitate inclusive trial participation.

Stop the Divide: Facilitators and Barriers to Uptake of Digital Health Interventions Among Socially Disadvantaged Populations.

Background: The coronavirus disease 2019 pandemic ushered in rapid adoption of telehealth services. This study examines patient and provider experience and provides recommendations for facilitating the use of digital health interventions among socially disadvantaged populations. Methods: This qualitative study was conducted from May to July 2021 via semistructured interviews. Forty patients and 30 primary care providers (PCPs) in Louisiana were recruited within an integrated delivery health system and a rural health center. Technology acceptance models were used to develop a thematic coding scheme. Results: Most patients self-identified as Black (67.5%) and female (72.5%), had a mean age of 51 years, lived in an urban area (76.9%), and had Medicaid (57.9%). Most PCPs were White (79.3%) and male (51.7%), had a mean age of 39 years, and reported Medicaid as the predominant insurer (58.6%). Patient use of smartphones for internet access to health and nonhealth activities was common. PCPs noted the need to address misinformation or misinterpretation of information on the internet. Most patients had used a patient portal (72.5%) and noted the convenience of messaging. PCPs reported large increases in messaging workloads. Most patients had had telemedicine visits (65.6%); however, Wi-Fi/broadband problems limited video visits. PCPs expressed concerns regarding the types of chief complaints that are appropriate for telemedicine visits and reported workflow inefficiencies when clinic sessions had mixed visit types. Patients and PCPs valued remote telemonitoring as adjuncts to care; however, limited service availability and insurance coverage were barriers. Conclusion: Infrastructure barriers (broadband, insurance) and workload imbalance temper enthusiasm for using digital health solutions. Health systems should implement complementary patient and provider user-centric strategies for facilitating uptake of technology.

Highly socially vulnerable communities exhibit disproportionately increased viral loads as measured in community wastewater.

Wastewater surveillance has proven to be a useful tool for evidence-based epidemiology in the fight against the SARS-CoV-2 virus. It is particularly useful at the population level where acquisition of individual test samples may be time or cost-prohibitive. Wastewater surveillance for SARS-CoV-2 has typically been performed at wastewater treatment plants; however, this study was designed to sample on a local level to monitor the spread of the virus among three communities with distinct social vulnerability indices in Shreveport, Louisiana, located in a socially vulnerable region of the United States. Twice-monthly grab samples were collected from September 30, 2020, to March 23, 2021, during the Beta wave of the pandemic. The goals of the study were to examine whether: 1) concentrations of SARS-CoV-2 RNA in wastewater varied with social vulnerability indices and, 2) the time lag of spikes differed during wastewater monitoring in the distinct communities. The size of the population contributing to each sample was assessed via the quantification of the pepper mild mottle virus (PMMoV), which was significantly higher in the less socially vulnerable community. We found that the communities with higher social vulnerability exhibited greater viral loads as assessed by wastewater when normalized with PMMoV (Kruskal-Wallis, p < 0.05). The timing of the spread of the virus through the three communities appeared to be similar. These results suggest that interconnected communities within a municipality experienced the spread of the SARS-CoV-2 virus at similar times, but areas of high social vulnerability experienced more intense wastewater viral loads.

Development and Validation of the HL6: a Brief, Technology-Based Remote Measure of Health Literacy.

BACKGROUND: Most health literacy measures require in-person administration or rely upon self-report. OBJECTIVE: We sought to develop and test the feasibility of a brief, objective health literacy measure that could be deployed via text messaging or online survey. DESIGN: Participants were recruited from ongoing NIH studies to complete a phone interview and online survey to test candidate items. Psychometric analyses included parallel analysis for dimensionality and item response theory. After 9 months, participants were randomized to receive the final instrument via text messaging or online survey. PARTICIPANTS: Three hundred six English and Spanish-speaking adults with ≥ 1 chronic condition MAIN MEASURES: Thirty-three candidate items for the new measure and patient-reported physical function, anxiety, depression, and medication adherence. All participants previously completed the Newest Vital Sign (NVS) in parent NIH studies. KEY RESULTS: Participants were older (average 67 years), 69.6% were female, 44.3% were low income, and 22.0% had a high school level of education or less. Candidate items loaded onto a single factor (RMSEA: 0.04, CFI: 0.99, TLI: 0.98, all loadings >.59). Six items were chosen for the final measure, named the HL6. Items demonstrated acceptable internal consistency (α=0.73) and did not display differential item functioning by language. Higher HL6 scores were significantly associated with greater educational attainment (r=0.41), higher NVS scores (r=0.55), greater physical functioning (r=0.26), fewer depressive symptoms (r=-0.20), fewer anxiety symptoms (r=-0.15), and fewer barriers to medication adherence (r=-0.30; all p<.01). In feasibility testing, 75.2% of participants in the text messaging arm completed the HL6 versus 66.2% in the online survey arm (p=0.09). Socioeconomic disparities in completion were more common in the online survey arm. CONCLUSIONS: The HL6 demonstrates adequate reliability and validity in both English and Spanish. This performance-based assessment can be administered remotely using commonly available technologies with fewer logistical challenges than assessments requiring in-person administration.

Using the social vulnerability index to assess COVID-19 vaccine uptake in Louisiana.

Using data from the Louisiana Department of Public Health, we explored the spatial relationships between the Social Vulnerability Index (SVI) and COVID-19-related vaccination and mortality rates. Publicly available COVID-19 vaccination and mortality data accrued from December 2020 to October 2021 was downloaded from the Louisiana Department of Health website and merged with the SVI data; geospatial analysis was then performed to identify the spatial association between the SVI and vaccine uptake and mortality rate. Bivariate Moran's I analysis revealed significant clustering of high SVI ranking with low COVID-19 vaccination rates (1.00, p < 0.001) and high smoothed mortality rates (0.61, p < 0.001). Regression revealed that for each 10% increase in SVI ranking, COVID-19 vaccination rates decreased by 3.02-fold (95% CI = 3.73-2.30), and mortality rates increased by a factor of 1.19 (95% CI = 0.99-1.43). SVI values are spatially linked and significantly associated with Louisiana's COVID-19-related vaccination and mortality rates. We also found that vaccination uptake was higher in whites than in blacks. These findings can help identify regions with low vaccination rates and high mortality, enabling the necessary steps to increase vaccination rates in disadvantaged neighborhoods.

Influenza and COVID-19 Vaccine Concerns and Uptake Among Patients Cared for in a Safety-Net Health System.

OBJECTIVES: To examine Influenza and COVID-19 vaccine concerns and uptake among adult patients in a Southern safety-net health system. METHODS: Trained research assistants conducted a structured telephone interview from April to October 2021. Of 118 participants, mean age was 57.7 years, 63.6% were female, 55.1% were Black, 42.4% white, and 54.2% reported rural residence. RESULTS: Among participants, 44.9% had received the influenza vaccine during the 2020 to 2021 season, and 66.1% had received the COVID-19 vaccine. Participants who received the influenza vaccine were more likely to report getting a COVID-19 vaccine compared to those who reported not getting a flu vaccine (81.1% vs 53.8%, P = .002). Black adults were significantly less likely than white adults (29.2% vs 46.0%, P = .048) and bordering on significance, males less likely than females (27.9% vs 41.3%, P = .054) to have reported receiving both vaccines. Of note, 25.4% of participants did not get either vaccine. The most common reasons for not getting the influenza vaccine were not being concerned about getting the flu (13.8%) and belief the vaccine gave them the flu (12.3%). The primary reasons for not getting a COVID-19 vaccine were concern about vaccine safety (22.5%), concern about side effects (20.0%), and belief they were not going to get sick (20.0%). CONCLUSIONS: These findings could help direct regional vaccine messaging and clinical communication to improve vaccine uptake among underserved populations.

COVID-19 Concerns, Vaccine Acceptance and Trusted Sources of Information among Patients Cared for in a Safety-Net Health System.

We examined COVID-19 concerns, vaccine acceptance, and trusted sources of information among patients in a safety-net health system in Louisiana. The participants were surveyed via structured telephone interviews over nine months in 2021. Of 204 adult participants, 65% were female, 52% were Black, 44.6% were White, and 46.5% were rural residents. The mean age was 53 years. The participants viewed COVID-19 as a serious public health threat (8.6 on 10-point scale). Black adults were more likely to perceive the virus as a threat than White adults (9.4 vs. 7.6 p < 0.0001), urban residents more than rural (9.0 vs. 8.2 p = 0.02), females more than males (8.9 vs. 8.1 p = 0.03). The majority (66.7%) had gotten the COVID-19 vaccine, with females being more likely than males (74.7 vs. 54.5% p = 0.02). There was no difference by race or rural residence. Overall, participants reported that physicians were the most trusted source of COVID-19 vaccine information (77.6%); followed by the CDC/FDA (50.5%), State Department of Health (41.4%), pharmacists (37.1%), nurses (36.7%); only 3.8% trusted social media. All sources were more trusted among black adults than White adults except family and social media. These findings could help inform efforts to design trustworthy public health messaging and clinical communication about the virus and vaccines.

Characterizing the impact of verbal communication and health literacy in the patient-surgeon encounter.

BACKGROUND: Patients with limited health literacy (HL) have difficulty understanding written/verbal information. The quality of verbal communication is not well understood. Therefore, our aim was to characterize patient-surgeon conversations and identify opportunities for improvement. METHODS: New colorectal patient-surgeon encounters were audio-recorded and transcribed. HL was measured. Primary outcomes were rates-of-speech, understandability of words, patient-reported understanding, and usage of medical jargon/statistics. Secondary outcomes included length-of-visit (LOV), conversation possession time, patient-surgeon exchanges, and speech interruptions. RESULTS: Significant variations existed between surgeons in rates-of-speech and understandability of words (p < 0.05). Faster rates-of-speech were associated with significantly less understandable words (p < 0.05). Patient-reported understanding varied by HL and by surgeon. Conversation possession time and usage of medical jargon/statistics varied significantly by surgeon (p < 0.05) in addition to patient-surgeon exchanges and interruptions. Patients with limited HL had shorter LOV. CONCLUSIONS: Significant variations exist in how surgeons talk to patients. Opportunities to improve verbal communication include slowing speech and using more understandable words.

Towards a more patient-centered clinical trial process: A systematic review of interventions incorporating health literacy best practices.

BACKGROUND: A 2019 public workshop convened by the National Academies of Sciences, Engineering and Medicine (NASEM) Roundtable on Health Literacy identified a need to develop evidence-based guidance for best practices for health literacy and patient activation in clinical trials. PURPOSE: To identify studies of health literacy interventions within medical care or clinical trial settings that were associated with improved measures of health literacy or patient activation, to help inform best practices in the clinical trial process. DATA SOURCES: Literature searches were conducted in PubMed, the Cumulative Index to Nursing and Allied Health Literature, SCOPUS, Cochrane, and Web of Science from January 2009 to June 2021. STUDY SELECTION: Of 3592 records screened, 22 records investigating 27 unique health literacy interventions in randomized controlled studies were included for qualitative synthesis. DATA EXTRACTION: Data screening and abstraction were performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. DATA SYNTHESIS: Types of health literacy interventions were multimedia or technology-based (11 studies), simplification of written material (six studies) and in-person sessions (five studies). These interventions were applied at various stages in the healthcare and clinical trial process. All studies used unique outcome measures, including patient comprehension, quality of informed consent, and patient activation and engagement. CONCLUSIONS: The findings of our study suggest that best practice guidelines recommend health literacy interventions during the clinical trial process, presentation of information in multiple forms, involvement of patients in information optimization, and improved standardization in health literacy outcome measures.

COVID-19 Knowledge, Beliefs, and Behavior Among Patients in a Safety-Net Health System.

Examine COVID-19 knowledge, concerns, behaviors, stress, and sources of information among patients in a safety-net health system in Louisiana. Research assistants surveyed participants via structured telephone interviews from April to October 2020. The data presented in this study were obtained in the pre-vaccine availability period. Of 623 adult participants, 73.5% were female, 54.7% Black, and 44.8% lived in rural small towns; mean age was 48.69. Half (50.5%) had spoken to a healthcare provider about the virus, 25.8% had been tested for COVID-19; 11.4% tested positive. Small town residents were less likely to be tested than those in cities (21.1% vs 29.3%, p = 0.05). Knowledge of COVID-19 symptoms and ways to prevent the disease increased from (87.9% in the spring to 98.9% in the fall, p < 0.001). Participants indicating that the virus had 'changed their daily routine a lot' decreased from 56.9% to 39.3% (p < 0.001). The main source of COVID-19 information was TV, which increased over time, 66.1-83.6% (p < 0.001). Use of websites (34.2%) did not increase. Black adults were more likely than white adults (80.7% vs 65.6%, p < 0.001) to rely on TV for COVID-19 information. Participants under 30 were more likely to get COVID-19 information from websites and social media (58.2% and 35.8% respectively). This study provides information related to the understanding of COVID-19 in rural and underserved communities that can guide clinical and public health strategies.

Effects of Different Transitional Care Strategies on Outcomes after Hospital Discharge-Trust Matters, Too.

BACKGROUND: As health systems shift toward value-based care, strategies to reduce readmissions and improve patient outcomes become increasingly important. Despite extensive research, the combinations of transitional care (TC) strategies associated with best patient-centered outcomes remain uncertain. METHODS: Using an observational, prospective cohort study design, Project ACHIEVE sought to determine the association of different combinations of TC strategies with patient-reported and postdischarge health care utilization outcomes. Using purposive sampling, the research team recruited a diverse sample of short-term acute care and critical access hospitals in the United States (N = 42) and analyzed data on eligible Medicare beneficiaries (N = 7,939) discharged from their medical/surgical units. Using both hospital- and patient-reported TC strategy exposure data, the project compared patients "exposed" to each of five overlapping groups of TC strategies to their "control" counterparts. Primary outcomes included 30-day hospital readmissions, 7-day postdischarge emergency department (ED) visits and patient-reported physical and mental health, pain, and participation in daily activities. RESULTS: Participants averaged 72.3 years old (standard deviation =10.1), 53.4% were female, and most were White (78.9%). Patients exposed to one TC group (Hospital-Based Trust, Plain Language, and Coordination) were less likely to have 30-day readmissions (risk ratio [RR], 0.72; 95% confidence interval [CI] = 0.57-0.92, p < 0.001) or 7-day ED visits (RR, 0.72; 95% CI, 0.55-0.93, p < 0.001) and more likely to report excellent physical and mental health, greater participation in daily activities, and less pain (RR ranged from 1.11 to 1.15, p < 0.01). CONCLUSION: In concert with care coordination activities that bridge the transition from hospital to home, hospitals' clear communication and fostering of trust with patients were associated with better patient-reported outcomes and reduced health care utilization.

Design of a randomized controlled trial to assess the comparative effectiveness of a multifaceted intervention to improve three-year adherence to colorectal cancer screening among patients cared for in rural community health centers.

Colorectal cancer (CRC) screening has been shown to decrease CRC mortality, yet significant disparities persist among those living in rural areas, from minority backgrounds, and those having low income. The purpose of this two-arm randomized controlled trial is to test the effectiveness and fidelity of a stepped care (increasing intensity as needed) approach to promoting 3-year adherence to CRC screening via fecal immunochemical testing (FIT) or colonoscopy in rural community clinics serving high rates of low-income and minority patients. We hypothesize that, compared to enhanced usual care (EUC), patients receiving the multifaceted CRC screening intervention will demonstrate higher rates of CRC screening completion over 3 years. Participants from six federally qualified health centers (FQHCs; N = 1200 patients) serving predominately low-income populations in rural Louisiana will be randomized to the intervention or EUC arm. All participants will receive health literacy-directed CRC counseling, simplified materials about both the FIT and colonoscopy procedures, and motivational interviewing to aid in the determination of test preference. Participants in the intervention arm will also receive motivational reminder messages from their primary care provider (via audio recording or tailored text) for either a scheduled colonoscopy or return of a completed FIT. Participants in the EUC arm will receive the standard follow-up provided by their clinic or colonoscopy facility. The primary outcome will be completion of either colonoscopy or annual FIT over 3 years. Results will provide evidence on the effectiveness of the intervention to decrease disparities in CRC screening completion related to health literacy, race, and gender. Trial registration:Clinicaltrials.gov Identifier NCT04313114.

Assessment of Oral Chemotherapy Nonadherence in Chronic Myeloid Leukemia Patients Using Brief Measures in Community Cancer Clinics: A Pilot Study.

The purpose of this pilot study was to assess Chronic Myeloid Leukemia (CML) patients' adherence to, beliefs about, and barriers to oral anticancer agents (OAC) using brief self-report measures in community-based cancer clinics. Patients completed a structured interview including a health literacy assessment, a Brief Medication Questionnaire, two single-item self-report adherence questions, and the Medications Adherence Reasons Scale. Of the 86 participants, 88.4% were white; 55.8% male; mean age, 58.7 years; and 22.1% had limited health literacy. Nonadherence (missing at least one dose in the last week) was reported by 18.6% of participants and associated (p < 0.003) with less-than-excellent perceived ability to take CML medications (16.3%). Black participants reported more difficulty taking CML medications than white participants (28.6% vs. 8.3%, p = 0.053). Among all participants, 43.0% reported their CML medicine was ineffective and 24.4% that taking CML pills was somewhat to very hard. The most common reasons for missing a dose were simply missed it (24.4%) and side effects (18.6%). Most patients perceived their ability to take CML medication was good to excellent, yet nearly one in five reported missing at least one dose in the last week. Brief, no-cost self-report assessments to screen CML patients' OAC adherence, barriers, and beliefs could facilitate counseling in busy community cancer clinics.

Development and psychometric properties of surveys to assess patient and family caregiver experience with care transitions.

BACKGROUND: The purpose of this study was to develop and administer surveys that assess patient and family caregiver experiences with care transitions and examine the psychometric properties of the surveys. The surveys were designed to ask about 1) the transitional care services that matter most to patients and their caregivers and 2) care outcomes, including the overall quality of transitional care they received, patient self-reported health, and caregiver effort/stress. METHODS: Survey items were developed based on a review of the literature, existing surveys, focus groups, site visits, stakeholder and expert input, and patient and caregiver cognitive interviews. We administered mail surveys with telephone follow up to patients recently discharged from 43 U.S. hospitals. Patients identified the caregivers who helped them during their hospital stay (Time 1 caregiver) and when they were home (Time 2 caregiver). Time 1 and Time 2 caregivers were surveyed by telephone only. The psychometric properties of the survey items and outcome composite measures were examined for each of the three surveys. Items that performed poorly across multiple analyses, including those with low variability and/or a high missing data, were dropped except when they were conceptually important. RESULTS: The analysis datasets included responses from 9282 patients, 1245 Time 1 caregivers and 1749 Time 2 caregivers. The construct validity of the three proposed outcome composite measures-Overall Quality of Transitional Care (patient and caregiver surveys), Patient Overall Health (patient survey) and Caregiver Effort/Stress (caregiver surveys) -was supported by acceptable exploratory factor analysis results and acceptable internal consistency reliability. Site-level reliability was acceptable for the two patient outcome composite measures, but was low for Caregiver Effort/Stress (< 0.70). In all surveys, the Overall Quality of Transitional Care outcome composite measure was significantly correlated with other outcome composite measures and most of the single-item measures. CONCLUSIONS: Overall, the final patient and caregiver surveys are psychometrically sound and can be used by health systems, hospitals, and researchers to assess the quality of care transitions and related outcomes. Results from these surveys can be used to improve care transitions, focusing on what matters most to patients and their family caregivers.