Impairment and Disability Identity and Perceptions of Trust, Respect, and Fairness.

Importance: Most studies use impaired functioning alone to specify populations with disabilities. However, some people with functional impairments do not identify as disabled. With functional status-based definitions, studies have shown disparate care quality for people with disabilities. Objective: To examine whether impairment and disability identity have different associations with perceived health care experiences and explore factors associated with disability identification. Design, Setting, and Participants: This cross-sectional study used a nationally representative survey of US adults conducted from April 20 through May 31, 2021, and analyzed between June 1 and August 31, 2022. Survey participants were 1822 English- or Spanish-speaking adults responding either online or via telephone. Exposures: Using 8 survey questions, participants were grouped according to presence of impairment and disability identity. Main Outcomes and Measures: Likert scale measures of trust, respect, and fairness (henceforth, procedural justice measures) were dichotomized. Sociodemographic characteristics and rates of procedural justice responses were compared across groups. Multivariable logistic regressions adjusting for baseline characteristics were performed to (1) estimate associations of impairment and disability identity with perceptions of procedural justice and (2) explore factors associated with disability identification. Analyses applied survey weights. Results: Of 6126 individuals invited to participate, 1854 (30.3%) completed the survey. Thirty-two were excluded due to unreportable gender, for a final analytic sample of 1822 participants. Participants with impairments (n = 816; mean [SD] age, 48.1 [17.0] years; 51.2% women, 48.8% men) had worse perceptions on 7 of 10 procedural justice measures (crude) compared with those without impairments (n = 1006; mean [SD] age, 49.6 [18.1] years, 55.1% female, 44.9% male). Among respondents with impairments, those who did (n = 340) vs did not (n = 476) identify as disabled gave better ratings for clinician communication efforts (a lot of effort, 38.8% vs 31.0%) and having health goals understood (understood very or fairly well, 77.2% vs 70.1%) but gave worse ratings for respect (almost never felt inferior or talked down to, 66.1% vs 59.1%). Disability identification was associated with more reports of unfair treatment (31.0% vs 22.4%; adjusted odds ratio, 1.65; 95% CI, 1.12-2.42) and of being unafraid to ask questions or disagree (50.5% vs 40.1%; adjusted odds ratio, 1.51; 95% CI, 1.04-20.19). Income and employment were associated with disability identification. Conclusions and Relevance: In this cross-sectional survey study of US adults, health care perceptions differed between groups defined by impairment status and disability identity. These findings suggest that, alongside functional measures, health systems should capture disability identity to better address disparities for people with impairments.

Potentially inappropriate medications and potential prescribing omissions in hospitalised older adults in New Zealand: A retrospective study.

OBJECTIVE: Medication errors can have detrimental effects on patient outcomes, yet there are limited data on the prevalence of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) among older adult inpatients in New Zealand (NZ). This study investigated exposure to PIMs and PPOs in older adults in a New Zealand hospital. METHODS: Electronic medical records of 846 older adults (≥ 65 years) discharged from the Auckland District Health Board between June 2020 and May 2021 were retrospectively reviewed to extract data on sociodemographic, medication and diagnostic information. STOPP/START version 2 was used to evaluate PIMs and PPOs on admission and discharge. RESULTS: The mean age was 77.47 ± 8.12 years, and 51% were female. On admission, 48% had ≥1 PIMs and 40% had ≥1 PPOs. On discharge, 45% had ≥1 PIMs and 40% had ≥1 PPOs. Increasing age (adjusted odds ratio [AOR] = 1.02, 95% CI [confidence interval] 1.01, 1.04), number of medicines (AOR = 1.23, CI 1.17, 1.29) and 28-day admission history (AOR = 1.58, CI 1.15, 2.18) were associated with higher odds of PIMs use on admission. At discharge, the number of medicines (AOR = 1.19, CI 1.13, 1.25) and history of readmission (AOR = 1.47, CI 1.08, 2.02) were associated with higher odds of PIMs. Female patients had higher odds of PPOs both on admission (AOR = 1.35, CI 1.02, 1.78) and discharge (AOR = 1.34, CI 1.01, 1.78). Maori, Asian and Pacific patients were more likely to have prescribing omissions compared to NZ Europeans. CONCLUSIONS: Prescribing omissions and inappropriate medications were common in older inpatients. There were differences observed between different ethnic groups, with NZ Europeans having fewer omissions than other ethnic groups. These findings highlight key opportunities for health-care providers to improve medication use in older adults in NZ.

Prescribing Isotretinoin for Transgender Patients: A Call to Action and Recommendations.

Case Scenerio: A 26-year-old patient presents to the dermatology clinic with severe nodulocystic scarring acne. The patient identifies as a transgender male and notes that he has been receiving hormone replacement therapy for the past 4 years with weekly intramuscular testosterone injections.

Assessing the health status and mortality of older people over 65 with HIV.

BACKGROUND: Nearly half of people with HIV in the United States are 50 years or older, and this proportion is growing. Between 2012 and 2016, the largest percent increase in the prevalence rate of HIV was among people aged 65 and older, the eligibility age for Medicare coverage for individuals without a disability or other qualifying condition. Previous work suggests that older people with HIV may have higher rates of chronic conditions and develop them more rapidly than older people who do not have HIV. This study compared the health status of older people with HIV with the older US population not living with HIV by comparing: (1) mortality; (2) prevalence of certain conditions, and (3) incidence of these conditions with increasing age. METHODS AND FINDINGS: We used a sample of Medicare beneficiaries aged 65 and older from the Medicare Master Beneficiary Summary File for the years 2011 to 2016, including 100% of individuals with HIV (N = 43,708), as well as a random 1% sample of individuals without diagnosed HIV (N = 1,029,518). We conducted a survival analysis using a Cox proportional hazards model to assess mortality and to determine the need to adjust for differential mortality in our analyses of the incidence of certain chronic conditions. These results showed that Medicare beneficiaries living with HIV have a significantly higher hazard of mortality compared to older people without diagnosed HIV (3.6 times the hazard). We examined the prevalence of these conditions using logistic regression analysis and found that people with HIV have a statistically significant higher odds of depression, chronic kidney disease, chronic obstructive pulmonary disease (COPD), osteoporosis, hypertension, ischemic heart disease, diabetes, chronic hepatitis, end-stage liver disease, lung cancer, and colorectal cancer. To look at the rate at which older people are diagnosed with conditions as they age, we used a Fine-Gray competing risk model and showed that for individuals without diagnosis of a given condition at age 65, the future incidence of that condition over the remaining study period was higher for people with HIV even after adjusting for differential hazard of mortality and for other demographic characteristics. Many of these results also varied by personal characteristics including Medicaid dual enrollment, sex, and race and ethnicity, as well as by condition. CONCLUSIONS: Increasing access to care and improving health outcomes for people with HIV is a critical goal of the National HIV/AIDS Strategy 2020. It is important for clinicians and policymakers to be aware that despite significant advances in the treatment and care of people with HIV, older people with HIV have a higher odds of having multiple chronic conditions at any point in time, a higher incidence of new diagnoses of these conditions over time, and a higher hazard of mortality than Medicare beneficiaries without HIV.

Pre-exposure prophylaxis for preventing acquisition of HIV: A cross-sectional study of patients, prescribers, uptake, and spending in the United States, 2015-2016.

BACKGROUND: In 2015, there were approximately 40,000 new HIV diagnoses in the United States. Pre-exposure prophylaxis (PrEP) is an effective strategy that reduces the risk of HIV acquisition; however, uptake among those who can benefit from it has lagged. In this study, we 1) compared the characteristics of patients who were prescribed PrEP with individuals newly diagnosed with HIV infection, 2) identified the specialties of practitioners prescribing PrEP, 3) identified metropolitan statistical areas (MSAs) within the US where there is relatively low uptake of PrEP, and 4) reported median amounts paid by patients and third-party payors for PrEP. METHODS AND FINDINGS: We analyzed prescription drug claims for individuals prescribed PrEP in the Integrated Dataverse (IDV) from Symphony Health for the period of September 2015 to August 2016 to describe PrEP patients, prescribers, relative uptake, and payment methods in the US. Data were available for 75,839 individuals prescribed PrEP, and findings were extrapolated to approximately 101,000 individuals, which is less than 10% of the 1.1 million adults for whom PrEP was indicated. Compared to individuals with newly diagnosed HIV infection, PrEP patients were more likely to be non-Hispanic white (45% versus 26.2%), older (25% versus 19% at ages 35-44), male (94% versus 81%), and not reside in the South (30% versus 52% reside in the South).Using a ratio of the number of PrEP patients within an MSA to the number of newly diagnosed individuals with HIV infection, we found MSAs with relatively low uptake of PrEP were concentrated in the South. Of the approximately 24,000 providers who prescribed PrEP, two-thirds reported primary care as their specialty. Compared to the types of payment methods that people living with diagnosed HIV (PLWH) used to pay for their antiretroviral treatment in 2015 to 2016 reported in the Centers for Disease Control and Prevention (CDC) HIV Surveillance Special Report, PrEP patients were more likely to have used commercial health insurance (80% versus 35%) and less likely to have used public healthcare coverage or a publicly sponsored assistance program to pay for PrEP (12% versus 45% for Medicaid). Third-party payors covered 95% of the costs of PrEP. Overall, we estimated the median annual per patient out-of-pocket spending on PrEP was approximately US$72. Limitations of this study include missing information on prescription claims of patients not included in the database, and for those included, some patients were missing information on patient diagnosis, race/ethnicity, educational attainment, and income (34%-36%). CONCLUSIONS: Our findings indicate that in 2015-2016, many individuals in the US who could benefit from being on PrEP were not receiving this HIV prevention medication, and those prescribed PrEP had a significantly different distribution of characteristics from the broader population that is at risk for acquiring HIV. PrEP patients were more likely to pay for PrEP using commercial or private insurance, whereas PLWH were more likely to pay for their antiretroviral treatment using publicly sponsored programs. Addressing the affordability of PrEP and otherwise promoting its use among those with indications for PrEP represents an important opportunity to help end the HIV epidemic.

Symptom correlates of dyspnea in advanced cancer patients using the Edmonton Symptom Assessment System.

PURPOSE: Dyspnea is frequently experienced in advanced cancer patients and is associated with poor prognosis and functional decline. This study used the Edmonton Symptom Assessment System (ESAS) to characterize the relationship between dyspnea and concurrent symptoms experienced by advanced cancer patients. METHODS: A prospective database was collected and analyzed to extract patient demographics and ESAS scores. Logistic regression analysis and generalized estimating equations (GEE) identified correlations of other ESAS symptoms in three categories: severity of dyspnea (none, mild, moderate, severe), moderate/severe dyspnea (ESAS ≥ 4), and presence of dyspnea (ESAS ≥ 1), at patients' first visit and over time, respectively. RESULTS: Multivariable analysis revealed drowsiness (p = 0.001), and anxiety (p = 0.01) and appetite loss (p = 0.02) were associated with increased severity of dyspnea at first visit. Over time, tiredness (p = 0.02), drowsiness (p = 0.04), nausea (p = 0.02), and anxiety (p = 0.0006) were more likely to experience increased dyspnea severity. Tiredness (p = 0.0003), depression (p = 0.03), and appetite loss (p = 0.003) were significant for moderate/severe dyspnea at first visit. Over multiple visits, tiredness (p < 0.0001), anxiety (p = 0.0008), and appetite loss (p = 0.0008) had higher probabilities of moderate/severe dyspnea. For the presence of dyspnea at the first visit, anxiety (p = 0.03) and drowsiness (p = 0.002) were significantly correlated with an increased frequency of dyspnea. Over time, anxiety (p < 0.0001) and drowsiness (p < 0.0001) remained significant with the addition of nausea (p = 0.0007). CONCLUSIONS: The highly interactive relationship between dyspnea and other common cancer symptoms necessitates the development of comprehensive symptom assessments and utilization of multimodal management approaches that consider concurrent symptoms for improved identification and treatment of dyspnea.

Symptoms Predictive of Overall Quality of Life Using the Edmonton Symptom Assessment Scale in Breast Cancer Patients Receiving Radiotherapy.

BACKGROUND: Breast cancer patients often experience multiple symptoms that negatively affect quality of life (QOL). Patient-reported scores on symptom screening tools are used by health care professionals to manage QOL. We aimed to examine which symptoms from the Edmonton Symptom Assessment Scale (ESAS) were most predictive of overall well-being (QOL) in breast cancer patients over the course of radiotherapy (RT). PATIENTS AND METHODS: ESAS results completed before, at the end of, and after RT were obtained from all nonmetastatic breast cancer patients. Univariate and multivariable (backward stepwise selection) linear regression analyses were applied to select the most significant ESAS symptoms or treatment variables related to overall QOL at all 3 time points. RESULTS: A total of 1224 patients were included in the study. Before RT, multivariable analysis identified 5 symptoms that were significantly associated with overall QOL: pain, tiredness, anxiety, depression, and loss of appetite. At the end of RT, pain, tiredness, and anxiety were the most significant predictors of QOL. After RT, 6 symptoms were found to have the strongest correlation with QOL: pain, tiredness, anxiety, depression, loss of appetite, and drowsiness. At each time point, patients with higher scores for the identified significant symptoms were likely to have a worse overall QOL. CONCLUSION: Of the ESAS symptoms identified as significant predictors of QOL, pain, tiredness, and anxiety correlated with overall well-being at all time points. Special attention should be paid to manage symptoms that are most predictive of overall QOL in order to ensure optimal symptom management in breast cancer patients receiving RT.

An update in symptom clusters using the Edmonton Symptom Assessment System in a palliative radiotherapy clinic.

PURPOSE: To identify symptom clusters in advanced cancer patients attending a palliative radiotherapy clinic using the Edmonton Symptom Assessment System (ESAS). METHODS: Principal component analysis (PCA), exploratory factor analysis (EFA), and hierarchical cluster analysis (HCA) were used to identify symptom clusters among the nine ESAS items using scores from each patient's first visit. RESULTS: ESAS scores from 182 patients were analyzed. The PCA identified three symptom clusters (cluster 1: depression-anxiety-well-being, cluster 2: pain-tiredness-drowsiness, cluster 3: nausea-dyspnea-loss of appetite). The EFA identified two clusters (cluster 1: tiredness-drowsiness-loss of appetite-well-being-pain-nausea-dyspnea, cluster 2: depression-anxiety). The HCA identified three clusters similar to the PCA with an exception of the loss of appetite item being classified under cluster 1 rather than 3. Two to three symptom clusters were identified using three analytical methods, with similar patterns reported in the literature. Particular groups of items co-occurred consistently across all three analyses: depression and anxiety; nausea and dyspnea; as well as pain, tiredness, and drowsiness. CONCLUSION: Three similar symptom clusters were identified in our patient population using the PCA and HCA; whereas, the EFA produced two clusters: one physical and one psychological cluster. Given the implications of symptom clusters in the management of quality of life, clinicians should be aware of these clusters to aid in the palliative treatment of patients.

Prognostic value of pre- and post-treatment health-related quality of life in predicting survival of patients with brain metastases.

AIM: The present study aimed to determine the prognostic survival value of pretreatment health-related quality of life (HRQOL) and changes in HRQOL following whole-brain radiation treatment in patients with brain metastases. METHODS: Patients who were treated with whole-brain radiation treatment and completed HRQOL questionnaires were included. Univariate and multivariate Cox proportional hazard models of overall survival (OS) were conducted for overall HRQOL and domain scores. RESULTS & CONCLUSION: Patients with lower HRQOL at baseline, especially lower physical functioning and motor dysfunction domains, were more likely to have poorer survival. Changes in overall HRQOL and its domains were not significantly related to OS. Pretreatment HRQOL, especially physical functioning and motor dysfunction, has added prognostic value in patients with brain metastases.

State of the art conference on weight management in VA: Policy and research recommendations for advancing behavioral interventions.

This article summarizes outcomes of the behavioral interventions work group for the Veterans Health Administration (VHA) State of the Art Conference (SOTA) for Weight Management. Sixteen VHA and non-VHA subject matter experts, representing clinical care delivery, research, and policy arenas, participated. The work group reviewed current evidence of efficacy, effectiveness, and implementation of behavioral interventions for weight management, participated in phone- and online-based consensus processes, generated key questions to address gaps, and attended an in-person conference in March 2016. The work group agreed that there is strong evidence for efficacy and effectiveness of core behavioral intervention components and processes, but insufficient evidence to determine the comparative effectiveness of multiple clinician-delivered weight management modalities, as well as technologies that may or may not supplement clinician-delivered treatments. Effective strategies for implementation of weight management services in VHA were identified. The SOTA work group's foremost policy recommendations are to establish a system-wide culture for weight management and to identify a population-level health metric to measure the impact of weight management interventions that can be tracked and clearly communicated throughout VHA. The work group's top research recommendation is to determine how to deploy and scale the most effective behavioral weight management interventions for Veterans.

The association between types of regular primary care and hospitalization among people with and without multimorbidity: A household survey on 25,780 Chinese.

Using data collected from 25,780 Hong Kong citizens in a household survey, this study aimed to investigate the association between having regular source of primary care and hospitalization amongst people with and without multimorbidity (two or more chronic conditions). Potential interaction effects of regular primary care with multimorbidity were also examined. Results revealed a significant association between having regular source of primary care from General Practitioners and reduced hospitalization amongst respondents with multimorbidity (RR = 0.772; 95% CI = 0.667-0.894), adjusting for other potential confounding factors (i.e., socio-demographic factors and medical insurance and benefits). In contrast, having regular Specialist care was significantly associated with increased risk of hospitalization among both people with multimorbidity (RR = 1.619; 95% CI = 1.256-2.087) and without multimorbidity (RR = 1.981; 95% CI = 1.246-3.149), adjusting for potential confounders. A dose-response relationship between the number of chronic diseases and hospitalization was also observed, regardless of whether participants had regular source of primary care or not; relative risks and predicted probabilities for hospitalization were generally greater for those without regular source of primary care. Further studies are warranted to explore the role of healthcare system, informatics, organizational and practice-related factors on healthcare and functional outcomes.

Responding to traveling patients' seasonal demand for health care services.

The Veterans Health Administration (VHA) provides care to over 8 million Veterans and operates over 1,700 sites of care across 21 regional networks in the United States. Health care providers within VHA report large seasonal variation in the demand for services, especially in the southern United States because of arrival of "snowbirds" during the winter. Because resource allocation activities are primarily carried out through an annual budgeting process, the seasonal load imposed by "traveling Veterans"-Veterans that seek care at VHA sites outside of their home network-make providing high-quality services more challenging. This work constitutes the first major effort within VHA to understand the impact of traveling Veterans. We discovered strong seasonal fluctuations in demand at a clinic located in the southeastern United States and developed a seasonal autoregressive integrated moving average model to help the clinic forecast demand for its services with significantly less error than historical averaging. Monte Carlo simulation of the clinic revealed that physicians are overutilized, suggesting the need to re-evaluate how the clinic is currently staffed. More broadly, this study demonstrates how operations management methods can assist operational decision making at other clinics and medical centers both within and outside VHA.

Experience of the Veterans Health Administration in Massachusetts after state health care reform.

Starting in 2006, Massachusetts enacted a series of health insurance reforms that successfully led to 96.6% of its population being covered by 2011. As the rest of the nation undertakes similar reforms, it is unknown how the Veterans Health Administration (VHA), one of many important Federal health care programs, will be affected. Our state-level study approach assessed the effects of health reform on utilization of VHA services in Massachusetts from 2005 to 2011. Models were adjusted for state-level demographic and economic characteristics, including health insurance rates, unemployment rates, median household income, poverty rates, and percent of population 65 years and older. No statistically significant associative change was observed in Massachusetts relative to other states over this time period. The findings raise important questions about the continuing role of VHA in American health care as health insurance coverage is one of many factors that influence decisions on where to seek health care.