Infertility and risk of postmenopausal breast cancer in the women's health initiative.

PURPOSE: Although infertility (i.e., failure to conceive after ≥ 12 months of trying) is strongly correlated with established breast cancer risk factors (e.g., nulliparity, number of pregnancies, and age at first pregnancy), its association with breast cancer incidence is not fully understood. Previous studies were primarily small clinic-based or registry studies with short follow-up and predominantly focused on premenopausal breast cancer. The objective of this study was to assess the relationship between infertility and postmenopausal breast cancer risk among participants in the Women's Health Initiative (analytic sample = 131,784; > 25 years of follow-up). METHODS: At study entry, participants were asked about their pregnancy history, infertility history, and diagnosed reasons for infertility. Incident breast cancers were self-reported with adjudication by trained physicians reviewing medical records. Cox proportional hazards models were used to estimate risk of incident postmenopausal breast cancer for women with infertility (overall and specific infertility diagnoses) compared to parous women with no history of infertility. We examined mediation of these associations by parity, age at first term pregnancy, postmenopausal hormone therapy use at baseline, age at menopause, breastfeeding, and oophorectomy. RESULTS: We observed a modest association between infertility (n = 23,406) and risk of postmenopausal breast cancer (HR = 1.07; 95% CI 1.02-1.13). The association was largely mediated by age at first term pregnancy (natural indirect effect: 46.4% mediated, CI 12.2-84.3%). CONCLUSION: These findings suggest that infertility may be modestly associated with future risk of postmenopausal breast cancer due to age at first pregnancy and highlight the importance of incorporating reproductive history across the life course into breast cancer analyses.

Connected Community Classification (C3): Development, Validation, and Geospatial Application for Population Health Promotion and Equity.

CONTEXT: Social determinants of health (SDOH) impact population health. Leveraging community-level strengths related to SDOH through a social infrastructure perspective can optimize health behaviors and health outcomes to promote health equity. OBJECTIVE: Our aims were to develop, validate, and apply the Connected Community Classification (C3) as comprehensive community-level measure of protective SDOH and structural factors in the Four Corners states region of the United States. DESIGN: C3 was developed using an iterative principal component analysis of publicly available data mapped to 5 SDOH domains. Regional clustering of C3 by zip code tabulation area (ZCTA) was identified using spatial autocorrelation methods. MAIN OUTCOMES: In adjusted spatial autoregressive models, we analyzed the association of C3 with high-risk health behaviors and chronic disease prevalence using publicly available data for population-level estimates of fruit and vegetable intake, physical activity, obesity, smoking, alcohol use, coronary heart disease (CHD), diabetes, and cancer. RESULTS: C3 was found to be reliable and valid; a C3 value of 10 indicates communities with greater connection (high), while a value of 1 indicates communities with greater separation (low) to social infrastructure. Lower connection, as measured by C3, was significantly inversely associated with lower fruit and vegetable intake, lower physical activity, and higher rates of obesity, smoking, CHD, diabetes, and cancer. C3 was significantly positively associated with heavy alcohol use. CONCLUSIONS: These findings demonstrate that communities connected to social infrastructure have better population health outcomes. C3 captures protective community attributes and can be used in future applications to assist health researchers, practitioners, nonprofits, and policymakers to advance social connection and health equity in geographically diverse underserved regions.

Measuring quality of gout management in residential aged care facilities.

Objective: Gout, a common form of arthritis, can be controlled successfully with pharmacotherapy and is thus an ideal model for examining chronic disease management. Our aim was to examine treatment of gout evaluated in accordance with general management guidelines for gout as applied to Australian residential aged care facilities. Methods: Electronic health record data linked with aged care clinical notes and electronic medication administration information (11 548 residents in 68 residential aged care facilities, >65 years of age) were interrogated to identify people with gout, other chronic conditions and gout medication use. The outcomes examined were the proportion receiving urate-lowering therapy (ULT; preventative medication) and/or colchicine/non-steroidal anti-inflammatory drug (NSAID) (to treat gout flares), the number of ULT and colchicine/NSAID treatment episodes (periods of continuous days of medication use) and the duration of these treatment episodes. Results: The cohort included 1179 residents with gout, of whom 62% used a ULT, with a median of one episode of use for a very short duration [median = 4 days, median of use in total (i.e. repeated use) = 52 days]. Among residents with gout, 9% also used colchicine or an NSAID. Female residents were less likely to receive ULT and for shorter periods. Conclusion: Nearly one-third of residents with gout did not receive ULT. In those receiving ULT, recurrent short courses were common. Overall, management of gout in aged care residents appears to be suboptimal, largely owing to intermittent and short exposure to ULT, and with female residents at greater risk of poor gout management.

The relationship between sleep and weight change among women diagnosed with breast cancer participating in the Women's Health Initiative.

PURPOSE: Short and long sleep duration and poor sleep quality are risk factors for weight gain and cancer mortality. The purpose of this study is to investigate the relationship between sleep and weight change among postmenopausal breast cancer survivors. METHODS: Women participating in the Women's Health Initiative who were diagnosed with incident breast cancer between year one and year three were included. Self-reported sleep duration was categorized as ≤ 5 h (short), 6 h, 7-8 h (optimal), and ≥ 9 h (long). Self-reported sleep quality was categorized as poor, average, and above average. Post-diagnosis weight change was the difference of weight closest to, but preceding diagnosis, and year 3 weight. We used linear regression to evaluate sleep duration and sleep quality associations with post-diagnosis weight change adjusted for potential confounders. RESULTS: Among 1156 participants, 63% were weight stable after diagnosis; average weight gain post cancer diagnosis was 3.2 kg. Six percent of women reported sleeping ≤ 5 h, 26% reported 6 h, 64% reported 7-8 h, and 4% reported ≥ 9 h. There were no differences in adjusted estimates of weight change among participants with short duration (0.37 kg; 95% CI - 0.88, 1.63), or long duration (- 0.56 kg; 95% CI - 2.03, 0.90) compared to optimal duration, nor was there a difference among poor quality (- 0.51 kg; 95% CI - 1.42, 0.41) compared to above average quality. CONCLUSION: Among postmenopausal breast cancer survivors, sleep duration and quality were not associated with weight change after breast cancer diagnosis. Future studies should consider capturing change in adiposity and to expand beyond self-reported sleep.

The Prevalence of Cardiovascular Disease and Other Comorbidities Among American Indian and Alaska Native Adults with Diabetes.

AIMS: American Indians and Alaska Native (AI/ANs) peoples experience significant health disparities compared to the U.S. general population. We report comorbidities among AI/ANs with diabetes to guide efforts to improve their health status. METHODS: Drawing upon data for over 640,000 AI/ANs who used services funded by the Indian Health Service, we identified 43,518 adults with diabetes in fiscal year 2010. We reported the prevalence of comorbidities by age and cardiovascular disease (CVD) status. Generalized linear models were estimated to describe associations between CVD and other comorbidities. RESULTS: Nearly 15% of AI/AN adults had diabetes. Hypertension, CVD and kidney disease were comorbid in 77.9%, 31.6%, and 13.3%, respectively. Nearly 25% exhibited a mental health disorder; 5.7%, an alcohol or drug use disorder. Among AI/ANs with diabetes absent CVD, 46.9% had 2 or more other chronic conditions; the percentage among adults with diabetes and CVD was 75.5%. Hypertension and tobacco use disorders were associated with a 71% (95% CI for prevalence ratio: 1.63 - 1.80) and 33% (1.28 - 1.37) higher prevalence of CVD, respectively, compared to adults without these conditions. CONCLUSION: Detailed information on the morbidity burden of AI/ANs with diabetes may inform enhancements to strategies implemented to prevent and treat CVD and other comorbidities.

Transforming routinely collected residential aged care provider data into timely information: Current and future directions.

Electronic information systems are becoming increasingly common in residential aged care in Australia. These systems contain valuable data generated during day-to-day care delivery for older adults. These data (termed 'routinely collected residential aged care provider data') are currently underutilised, however have potential significant benefits for both care delivery and research purposes. Routinely collected residential aged care provider data are more readily accessible, contain up-to-date information and can be linked to existing national or state-based administrative data sets, while providing more granular details about care delivered at the coalface. The aim of this paper is to provide clinicians, researchers, policymakers and providers with an understanding of the strengths of these types of data, as well as identifying areas that require future development to maximise their potential to drive improvements in resident care and outcomes. These considerations include data quality, data standardisation and models for data governance, consent and consumer involvement.

Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: a mixed-method study protocol.

INTRODUCTION: There is a clear need for improved care quality and quality monitoring in aged care. Aged care providers collect an abundance of data, yet rarely are these data integrated and transformed in real-time into actionable information to support evidence-based care, nor are they shared with older people and informal caregivers. This protocol describes the co-design and testing of a dashboard in residential aged care facilities (nursing or care homes) and community-based aged care settings (formal care provided at home or in the community). The dashboard will comprise integrated data to provide an 'at-a-glance' overview of aged care clients, indicators to identify clients at risk of fall-related hospitalisations and poor quality of life, and evidence-based decision support to minimise these risks. Longer term plans for dashboard implementation and evaluation are also outlined. METHODS: This mixed-method study will involve (1) co-designing dashboard features with aged care staff, clients, informal caregivers and general practitioners (GPs), (2) integrating aged care data silos and developing risk models, and (3) testing dashboard prototypes with users. The dashboard features will be informed by direct observations of routine work, interviews, focus groups and co-design groups with users, and a community forum. Multivariable discrete time survival models will be used to develop risk indicators, using predictors from linked historical aged care and hospital data. Dashboard prototype testing will comprise interviews, focus groups and walk-through scenarios using a think-aloud approach with staff members, clients and informal caregivers, and a GP workshop. ETHICS AND DISSEMINATION: This study has received ethical approval from the New South Wales (NSW) Population & Health Services Research Ethics Committee and Macquarie University's Human Research Ethics Committee. The research findings will be presented to the aged care provider who will share results with staff members, clients, residents and informal caregivers. Findings will be disseminated as peer-reviewed journal articles, policy briefs and conference presentations.

The effect of direct cognitive assessment in the Medicare annual wellness visit on dementia diagnosis rates.

OBJECTIVE: To evaluate the relationship between direct cognitive assessment introduced with the Medicare Annual Wellness Visit (AWV) and new diagnoses of dementia, and to determine if effects vary by race. DATA SOURCES: Medicare Limited Data Set 5% sample claims 2003-2014 and the HRSA Area Health Resources Files. STUDY DESIGN: Instrumental Variable approach estimating the relationship between AWV utilization and new diagnoses of dementia using county-level Welcome to Medicare Visit rates as an instrument. DATA COLLECTION/EXTRACTION METHODS: Three hundred twenty-four thousand three hundred and eighty-five fee-for-service Medicare beneficiaries without dementia when the AWV was introduced in 2011. PRINCIPAL FINDINGS: Annual Wellness Visit utilization was associated with an increased probability of new dementia diagnosis with effects varying by racial group (categorized as white, black, Hispanic/Latino, or Asian based on Social Security Administration data). Hazard ratios (95% confidence intervals) for new dementia diagnosis within 6 months of AWV utilization were as follows: 2.34 (2.13, 2.58) white, 2.22 (1.71, 2.89) black, 4.82 (2.94, 7.89) Asian, and 6.14 (3.70, 10.19) Hispanic (P < .001 for each). Our findings show that estimates that do not control for selection underestimate the effect of AWV on new diagnoses. CONCLUSIONS: Dementia diagnosis rates increased with AWV implementation with heterogenous effects by race and ethnicity. Current recommendations by the United States Preventive Services Task Force state that the evidence is insufficient to recommend for or against screening for cognitive impairment in older adults.

Measuring the prevalence of 60 health conditions in older Australians in residential aged care with electronic health records: a retrospective dynamic cohort study.

BACKGROUND: The number of older Australians using aged care services is increasing, yet there is an absence of reliable data on their health. Multimorbidity in this population has not been well described. A clear picture of the health status of people using aged care is essential for informing health practice and policy to support evidence-based, equitable, high-quality care. Our objective was to describe the health status of older Australians living in residential aged care facilities (RACFs) and develop a model for monitoring health conditions using data from electronic health record systems. METHODS: Using a dynamic retrospective cohort of 9436 RACF residents living in 68 RACFs in New South Wales and the Australian Capital Territory from 2014 to 2017, we developed an algorithm to identify residents' conditions using aged care funding assessments, medications administered, and clinical notes from their facility electronic health record (EHR). We generated age- and sex-specific prevalence estimates for 60 health conditions. Agreement between conditions recorded in aged care funding assessments and those documented in residents' EHRs was evaluated using Cohen's kappa. Cluster analysis was used to describe combinations of health conditions (multimorbidity) occurring among residents. RESULTS: Using all data sources, 93% of residents had some form of circulatory disease, with hypertension the most common (62%). Most residents (93%) had a mental or behavioural disorder, including dementia (58%) or depression (54%). For most conditions, EHR data identified approximately twice the number of people with the condition compared to aged care funding assessments. Agreement between data sources was highest for multiple sclerosis, Huntington's disease, and dementia. The cluster analysis identified seven groups with distinct combinations of health conditions and demographic characteristics and found that the most complex cluster represented a group of residents that had on average the longest lengths of stay in residential care. CONCLUSIONS: The prevalence of many health conditions among RACF residents in Australia is underestimated in previous reports. Aged care EHR data have the potential to be used to better understand the complex health needs of this vulnerable population and can help fill the information gaps needed for population health surveillance and quality monitoring.

HealthPathways: a detailed analysis of utilisation trends in the northern Sydney region.

This study developed a model for using Google Analytics (GA) data to evaluate utilisation trends of the Sydney North HealthPathways portal. HealthPathways GA data merged with dates of page localisations and promotional events from March 2017 through June 2018 were analysed to evaluate engagement and use of HealthPathways, integration into clinical practice and how HealthPathways is used. Descriptive statistics and plots were generated for each clinical stream and page for the number of users per month (total, new and return users), mean time on page, navigation and search terms. The number of page views, new users and return users increased during the study period. Each clinical stream had between 26 and 2508 views, with a median of 199 views (interquartile range 84-461 views). Individual pages had 0-12388 total views. Return users visited seven times on average. Most usage occurred between mid-morning and mid-afternoon. Diabetes was the most frequently viewed and searched clinical stream, followed by palliative care. These streams had the greatest number of promotional events. Increasing use of and interaction with HealthPathways suggests that it is a useful tool to support clinical practice among northern Sydney primary care providers.

A profile of health status and demographics of aged care facility residents with gout.

OBJECTIVE: To estimate gout prevalence and examine associated factors in residential aged care facilities. METHODS: Electronic data from 11 548 residents aged 65+ during 2014-2017 from 68 residential aged care facilities in Australia were analysed. Gout prevalence was estimated, and regression was used to assess differences in comorbidities, sociodemographic factors and health status between residents with and without gout. RESULTS: Over 10% of residents had gout. Most common comorbidities in these residents were hypertension (71.3%), heart disease (37.9%) and diabetes (33.0%) and they were more likely to have renal disease and historical myocardial infarction. The interaction between comorbid gout had complex interactions between age, sex and comorbidities for diabetes and depression was complex. CONCLUSIONS: Gout is common among older people in residential care but may be under-recognised. Holistic management of gout is needed in this population, with careful consideration of chronic comorbidities and treatments.

Persistent Disparities in Medicare's Annual Wellness Visit Utilization.

INTRODUCTION: The Medicare Annual Wellness Visit (AWV) is a preventive care visit introduced in 2011 as part of the Affordable Care Act provided without cost to beneficiaries. The AWV is associated with higher preventive services utilization. Although AWV utilization increased during 2011-2013, utilization was lower among ethnoracial minority beneficiaries who may benefit the most. OBJECTIVES: To determine if AWV utilization disparities have persisted using the most recent data available. RESEARCH DESIGN: The authors analyzed AWV utilization in 2011-2013 and 2015-2016 by beneficiary-reported race and ethnicity, adjusting for potential confounders. SUBJECTS: Weighted sample of 78,639,501 fee-for-service Medicare beneficiaries aged 66 years and older who participated in the Medicare Current Beneficiary Survey 2011-2013 or 2015-2016. MEASURES: AWV utilization was identified using Medicare claims. RESULTS: AWV utilization increased from 8.1% to 23.0% of all beneficiaries between 2011 and 2016. Compared with non-Hispanic white beneficiaries, utilization was significantly lower among non-Hispanic Black and non-Hispanic other race beneficiaries in both the minimally and fully-adjusted models. Hispanic/Latino beneficiaries had lower utilization in the minimally adjusted model, but not in the fully-adjusted model. In 2016, compared with non-Hispanic white beneficiaries, AWV utilization was 10.2 points lower for non-Hispanic black, 11.6 points lower for Hispanic/Latino, and 8.6 points lower for non-Hispanic other race beneficiaries, and these differences were attenuated after adjusting for all covariates to 6.8 points lower, 9.4 points lower, and 7.2 points lower, respectively. CONCLUSIONS: The AWV has the potential to increase the use of preventive care, improve health, and reduce ethnoracial disparities among Medicare beneficiaries, but realizing these goals will require increasing utilization by minority groups. If ethnoracial minority beneficiaries had used the AWV at the same rate as non-Hispanic white beneficiaries during the study period, then ~1.6 million additional AWVs would have been used.

NSAID use among residents in 68 residential aged care facilities 2014 to 2017: An analysis of duration, concomitant medication use, and high-risk conditions.

PURPOSE: People in residential aged care are at increased risk of adverse events from nonsteroidal anti-inflammatory drugs (NSAIDs) due to their age and health status, but little is known about use of NSAIDs in this setting. We aimed to estimate the prevalence of NSAID use by route, differences by high-risk conditions, prevalence of concurrent proton pump inhibitor (PPI) use, and prevalence of the "triple whammy" combination (oral NSAID, diuretic, and angiotensin-converting-enzyme inhibitor or angiotensin receptor antagonist). METHODS: We conducted a dynamic cohort study using medication administration data from 68 residential aged care facilities (RACFs) during 2014 to 2017. Descriptive statistics and regression were used to estimate the proportion of residents who used NSAIDs, NSAIDs long term, NSAIDs with PPIs, and the triple whammy combination. RESULTS: Ten thousand three hundred sixty-seven residents were included. Two thousand four hundred fourteen (23.3%) used at least one NSAID: 756 (7.3%) used only oral, 1326 (12.8%) used only topical, and 332 (3.2%) used both topical and oral NSAIDs. One thousand five hundred forty two (14.8%) used an NSAID long term, a majority of which only used topical NSAIDs 933/1542 (60.5%). Age, sex, and health status were associated with greater variation in long-term topical use relative to oral NSAID use. A majority of oral NSAID users concomitantly used a PPI, which varied according to age, sex, and health status. Among residents with any oral NSAID use, 182/1088 (16.7%) had triple whammy medication use. CONCLUSIONS: Targeted interventions to reduce NSAID use among RACF residents, to reduce triple whammy medication use, and increase PPI use for long-term oral NSAID users are warranted.

Duration of Antipsychotic Medication Use by Aged Care Facility Residents With Dementia.

INTRODUCTION: Guidelines recommend short-term targeted use of antipsychotic medications for behavioral and psychological symptoms of dementia only when other strategies have failed. Antipsychotic prescribing in dementia is common internationally, but data on duration of use are limited. Our objectives were to determine duration, time to initiation, and prevalence of antipsychotic use among people with dementia. METHODS: This work was a retrospective dynamic cohort study of people aged 65 years or above with dementia in 68 residential aged facilities during the period spanning from 2014 to 2017. Medication administration records were used to identify antipsychotic medication use. Medication outcomes (prevalence, duration, and time to initiation) were estimated using regression. Covariates included comorbidities and sociodemographic and facility characteristics. RESULTS: A total of 5825 residents with dementia were identified. The annual prevalence of antipsychotic use ranged from 27.6% to 32.6%. Mean time to initiation after admission was 308.4 days (for female individuals) and 173.2 days (for male individuals). An overall 65% of people who used antipsychotics did so for >3 months even without psychiatric comorbidities; mean durations were 212.74 (95% confidence interval: 170.24, 255.25) days (for female individuals) and 216.10 (95% confidence interval: 165.31, 266.89) days (for male individuals) at median ages. DISCUSSION: Antipsychotics are often used longer than recommended. Current guidelines and restrictions may be insufficient to limit antipsychotic medication use. Further efforts are needed to ensure that antipsychotic medications are used as recommended in dementia.

Anti-osteoporosis Medication Use in a High Fracture-Risk Population: Contemporary Trends in Australian Residential Aged Care Facilities.

Osteoporotic fractures impose substantial morbidity and mortality among older adults. Undertreatment is an ongoing concern; treatment rates declined following reports of adverse effects of guideline-recommended bisphosphonates, but new antiresorptives have since become available. Our goal was to identify contemporary trends in osteoporosis treatment guideline adherence in a high fracture-risk population. We conducted a secondary data analysis using electronic health record data of adults aged ⩾65 years from 68 residential aged care facilities in Australia during 2014-2017 (n = 9094). Using medication administration data, we identified antiresorptive (bisphosphonates and denosumab) and vitamin D supplement use among residents with osteoporosis. Regression was used to evaluate temporal trends, and resident and facility characteristics associated with antiresorptive use and vitamin D use. In 2014, 34% of women and 42% of men with osteoporosis used antiresorptives; this decreased 8 percentage points by 2017. Antiresorptive use was higher among those with a history of fracture and lower in the last year of life. Denosumab use increased but did not substitute for the continued decline in bisphosphonate use. Vitamin D was consistently used by more than 60% of residents and was higher among those with fracture history. Greater attention to the treatment of osteoporosis treatment rates among this high fracture-risk population is warranted.

Sociodemographic Variation in the Use of Conservative Therapy Before MRI of the Lumbar Spine for Low Back Pain in the Era of Public Reporting.

PURPOSE: To evaluate the relationship between use of MRI of the lumbar spine for low back pain without prior conservative therapy and sociodemographic factors after the implementation of public reporting for Medicare's Hospital Outpatient Imaging Efficiency Measure for MRI Lumbar Spine for Low Back Pain (OP-8) metric. MATERIALS AND METHODS: We conducted a secondary data analysis using a nationally representative sample of 2009 to 2014 Medicare claims to evaluate trends in use of conservative therapy before MRI of the lumbar spine. Continuously enrolled fee-for-service Medicare beneficiaries were included. We applied the same criteria used by Medicare to generate a measure consistent with OP-8. Regression was used to evaluate trends in OP-8 by reporting status (outpatient hospital or clinic) and beneficiary characteristics. Age, sex, and race from the Medicare denominator and area-level socioeconomic measures from the Area Health Resource File were used as covariates. RESULTS: Use of conservative therapy before MRI increased regardless of OP-8 reporting status. Several sociodemographic characteristics were associated with the likelihood of receiving conservative therapy before MRI; beneficiaries were less likely to receive conservative therapy before MRI if they were male, older, black, Hispanic or Latino; if they lived in the West or in an area with more college graduates; or if they had low incomes. Beneficiaries were more likely to receive conservative therapy before MRI if they had poorer health or lived in areas with higher home values. CONCLUSION: Variations in use of conservative therapy according to factors other than clinically relevant factors, such as health status, are worrying. Further strategies are needed to improve appropriateness and equity in the provision of diagnostic imaging.

Antidementia medication use by aged care facility residents with dementia.

OBJECTIVES: Little is known about the use of antidementia medications in Australia. Other countries have reported sociodemographic disparities in use. Our objective was to estimate prevalence, duration, and time to initiation of antidementia medication (cholinesterase inhibitors or memantine) among Australians with dementia in residential aged care facilities and to evaluate resident and facility factors associated with use. METHODS: Dynamic retrospective cohort study of people with dementia in 68 residential aged care facilities during 2014 to 2017 using electronic health record and medication administration data. Regression evaluated relationships between medication use (prevalence, duration, and time to initiation) and resident and facility characteristics. RESULTS: Five thousand three hundred fifty-four residents with dementia were included in the analyses. Annual prevalence of antidementia medication use was less than 10% each year and decreased during the study period by 2-percentage points by 2017 (relative to 2014). Antidementia medication use varied by sociodemographic characteristics (3-points lower for single, 4-points lower for divorced relative to married residents, and 3-points higher for Australian-born). Each point in ADL score was associated with 0.1-point lower medication use. Antidementia medication use was lower in outer regional facilities. Most comorbidities were associated with lower antidementia medication use (myocardial infarction, cerebrovascular disease and heart failure 3-points lower, respiratory disease, and diabetes 2-points lower). Age had a complex relationship with antidementia medication use that varied by sex and if medication was started before or after admission. After admission, males initiated antidementia medication earlier than females. CONCLUSIONS: Antidementia medication use in Australian facilities was lower than in other countries and varied by clinical and sociodemographic factors.

Patient Perceptions of CT Imaging in a Diverse Patient Sample.

OBJECTIVE: To describe patient perceptions related to CT and evaluate variation related to patient sociodemographic characteristics. METHODS: Institutional review board-approved survey of adult patients undergoing outpatient CT at a large academic hospital administered May 2016 to March 2017. The survey included questions about participant demographic and socioeconomic characteristics as well as scales that addressed five perceptual constructs related to their CT examination: knowledge, benefits, barriers, expectations, and trust. Two of these constructs use the Health Belief Model as a conceptual framework, and questions were adapted from the Benefits and Barriers Scale for Screening Mammography. Descriptive statistics were calculated for all variables. Heterogeneous choice models were used to evaluate associations between participant characteristics and the perceptual constructs. RESULTS: In all, 302 surveys were completed by a diverse patient sample (33% non-Hispanic white, 29% Hispanic or Latino, 24% black, 8% mixed or other race, 5% Asian or Pacific Islander, 2% American Indian or Alaska Native). A large majority of participants responded positively to CT examination perceptions for each item with: high knowledge (71%-97%), positive expectations (94%-98%), high trust (92%) and benefits (67%-93%), and low barriers (only 9%-17% reported). In addition, 26% of participants reported seeking information about the CT before their appointment, with calling their physician's office the most common approach. The heterogeneous choice models found that responses to nearly all of the scale questions did not vary by sociodemographic characteristics, although in a larger sample some associations may be significant. CONCLUSIONS: Among a diverse sample of patients, perceptions of CT examination were highly positive and similar according to sociodemographic characteristics.