Facilitating equitable access to hospice care in socially deprived areas: A mixed methods multiple case study.

BACKGROUND: There is uncertainty about the factors influencing inequities in access to palliative care in socially deprived areas, including the role of service models and professional perceptions. AIM: To explore the relationship between social deprivation and access to hospice care, including factors influencing access and professional experiences of providing care. DESIGN: A mixed-methods multiple case study approach was used. Hospice referrals data were analysed using generalised linear mixed models and other regression analyses. Qualitative interviews with healthcare professionals were analysed using thematic analysis. Findings from different areas (cases) were compared in a cross-case analysis. SETTING: The study took place in North West England, using data from three hospices (8699 hospice patients) and interviews with 42 healthcare professionals. RESULTS: Social deprivation was not statistically significantly, or consistently, associated with hospice referrals in the three cases (Case 1, Incidence Rate Ratio 1.04, p = 0.75; Case 2, Incidence Rate Ratio 1.09, p = 0.15, Case 3, Incidence Rate Ratio 0.88, p = 0.35). Hospice data and interviews suggest the model of hospice care, including working relationship with hospitals, and the local nature of social deprivation influenced access. Circumstances associated with social deprivation can conflict with professional expectations within palliative care. CONCLUSION: Hospice care in the UK can be organised in ways that facilitate referrals of patients from socially deprived areas, although uncertainty about what constitutes need limits conclusions about equity. Grounding professional narratives around expectations, responsibility, and choice in frameworks that recognise the sociostructural influences on end-of-life circumstances may help to foster more equitable palliative care.

Exploring socioeconomic inequities in access to palliative and end-of-life care in the UK: a narrative synthesis.

BACKGROUND: Efforts inequities in access to palliative and end-of-life care require comprehensive understanding about the extent of and reasons for inequities. Most research on this topic examines differences in receipt of care. There is a need, particularly in the UK, for theoretically driven research that considers both receipt of care and the wider factors influencing the relationship between socioeconomic position and access to palliative and end-of-life care. METHODS: This is a mixed studies narrative synthesis on socioeconomic position and access to palliative and end-of-life care in the UK. Study searches were conducted in databases AMED, Medline, Embase, CINAHL, SocIndex, and Academic Literature Search, as well as grey literature sources, in July 2020. The candidacy model of access, which describes access as a seven-stage negotiation between patients and providers, guided study searches and provided a theoretical lens through which data were synthesised. RESULTS: Searches retrieved 5303 studies (after de-duplication), 29 of which were included. The synthesis generated four overarching themes, within which concepts of candidacy were evident: identifying needs; taking action; local conditions; and receiving care. CONCLUSION: There is not a consistent or clear narrative regarding the relationship between socioeconomic position and receipt of palliative and end-of-life care in the UK. Attempts to address any inequities in access will require knowledge and action across many different areas. Key evidence gaps in the UK literature concern the relationship between socioeconomic position, organisational context, and assessing need for care.

Length of stay in long-term care facilities: a comparison of residents in six European countries. Results of the PACE cross-sectional study.

OBJECTIVES: This paper aims to investigate resident, facility and country characteristics associated with length of stay in long-term care facilities (LTCFs) across six European countries. SETTING: Data from a cross-sectional study of deceased residents, conducted in LTCFs in Belgium, England, Finland, Italy, the Netherlands and Poland. PARTICIPANTS: All residents aged 65 years and older at admission who died in a 3-month period residing in a proportional random sample of LTCFs were included. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was length of stay in days, calculated from date of admission and date of death. Resident, facility and country characteristics were included in a proportional hazards model. RESULTS: The proportion of deaths within 1 year of admission was 42% (range 32%-63%). Older age at admission (HR 1.04, 95% CI 1.03 to 1.06), being married/in a civil partnership at time of death (HR 1.47, 95% CI 1.13 to 1.89), having cancer at time of death (HR 1.60, 95% CI 1.22 to 2.10) and admission from a hospital (HR 1.84, 95% CI 1.43 to 2.37) or another LTCF (HR 1.81, 95% CI 1.37 to 2.40) were associated with shorter lengths of stay across all countries. Being female (HR 0.72, 95% CI 0.57 to 0.90) was associated with longer lengths of stay. CONCLUSIONS: Length of stay varied significantly between countries. Factors prior to LTCF admission, in particular the availability of resources that allow an older adult to remain living in the community, appear to influence length of stay. Further research is needed to explore the availability of long-term care in the community prior to admission and its influence on the trajectories of LTCF residents in Europe.

Socialization, Indifference, and Convenience: Exploring the Uptake of Influenza Vaccine Among Medical Students and Early Career Doctors.

The Chief Medical Officer recommends that all health care workers receive an influenza vaccination annually. High vaccination coverage is believed to be the best protection against the spread of influenza within a hospital, although uptake by health care workers remains low. We conducted semistructured interviews with seven medical students and nine early career doctors, to explore the factors informing their influenza vaccination decision making. Data collection and analysis took place iteratively, until theoretical saturation was achieved, and a thematic analysis was performed. Socialization was important although its effects were attenuated by participants' previous experiences and a lack of clarity around the risks and benefits of vaccination. Many participants did not have strong intentions regarding vaccination. There was considerable disparity between an individual's opinion of the vaccine, their intentions, and their vaccination status. The indifference demonstrated here suggests few are strongly opposed to the vaccination-there is potential to increase vaccination coverage.

Using administrative data to identify naturally occurring networks of physicians.

BACKGROUND: Physicians naturally form networks. Networks could form a rational basis for Accountable Care Organizations (ACOs) for defined populations of Medicare beneficiaries. OBJECTIVES: To use methods from network science to identify naturally occurring networks of physicians that might be best suited to becoming ACOs. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using nationally representative claims data from the Medicare program for CY 2006 on 51 hospital referral regions (HRRs), we used a network science-based community-detection algorithm to identify groups of physicians likely to have preestablished relationships. After assigning patients to networks based upon visits with a primary care physician, we examined the proportion of care delivered within communities and compared our results with potential ACOs organized around single hospitals. RESULTS: We studied 4,586,044 Medicare beneficiaries from 51 HRRs who were seen by 68,288 active physicians practicing in those HRRs. The median community-based network ACO had 150 physicians with 5928 ties, whereas the median hospital-based network ACO had 96 physicians with 3276 ties. Among patients assigned to networks via their primary care physicians, seventy-seven percent of physician visits occurred with physicians in the community-based networks as compared with 56% with physicians in the hospital-based networks; however, just 8% of specialist visits were to specialists within the hospital-based networks as compared with 60% of specialist visits within the community-based networks. Some markets seemed better suited to developing ACOs based on network communities than others. CONCLUSIONS: We present a novel approach to identifying groups of physicians that might readily function as ACOs. Organic networks identified and defined in this natural and systematic manner already have physicians who exhibit close working relationships, and who, importantly, keep the vast majority of care within the networks.

Relative deprivation between neighbouring wards is predictive of coronary heart disease mortality after adjustment for absolute deprivation of wards.

BACKGROUND: The aims of this study were to assess whether deprivation inequality at small area level in England is associated with coronary heart disease (CHD) mortality rates and to assess whether this provides evidence of an association between area-level and individual-level risk. METHODS: Mortality rates for all wards in England were calculated using all CHD deaths between 2001 and 2006. Ward-level deprivation was measured using the Carstairs Index. Deprivation inequality within local authorities (LAs) was measured by the IQR of deprivation for wards within the LA. Relative deprivation for wards was measured as the modulus of the difference between deprivation for the ward and average deprivation for all neighbouring wards. RESULTS: Deprivation inequality within LAs was positively associated with CHD mortality rates per 100000 (eg, all men ß; 95% CI=2.7; 1.1 to 4.3) after adjustment for absolute deprivation (p<0.001 for all models). Relative deprivation for wards was positively associated with CHD mortality rates per 100000 (eg, all men 1.4; 0.7 to 2.1) after adjustment for absolute deprivation (p<0.001 for all models). Subgroup analyses showed that relative deprivation was independently associated with CHD mortality rates in both affluent and deprived wards. CONCLUSIONS: Rich wards surrounded by poor areas have higher CHD mortality rates than rich wards surrounded by rich areas, and poor wards surrounded by rich areas have worse CHD mortality rates than poor wards surrounded by poor areas. Local deprivation inequality has a similar adverse impact on both rich and poor areas, supporting the hypothesis that income inequality of an area has an impact on individual-level health outcomes.

Impact of health disparities collaboratives on racial/ethnic and insurance disparities in US community health centers.

BACKGROUND: The Health Resources and Services Administration Health Disparities Collaboratives (HDCs) were developed to improve care for chronic medical conditions in community health centers (CHCs). METHODS: We examined whether HDCs reduced disparities in quality by race/ethnicity or insurance status in CHCs nationally. We performed a controlled preintervention/postintervention study of 44 CHCs participating in HDCs for asthma, diabetes mellitus, or hypertension and 20 "external" control CHCs that had not participated. Each intervention center also served as an "internal" control for another condition. For each condition, we created an overall quality score, defined disparities in care as the differences in care between racial/ethnic groups and insurance groups, and examined changes in disparity through a series of hierarchical models using a 3-way interaction term among period, patient characteristics of interest, and treatment group. RESULTS: Overall, HDCs had little effect on disparities in composite measures for asthma, diabetes, and hypertension. For asthma care, collaborative centers had a baseline Hispanic-white disparity of 6.5%, which changed to a higher quality of recommended care for Hispanic patients over white patients by 0.8%, resulting in a significantly reduced Hispanic-white disparity compared with the change in disparity seen in external controls (P = .04). There were no other improvements in racial/ethnic or insurance disparities for any other conditions. CONCLUSIONS: Although HDCs are known to improve quality of care in CHCs, they had minimal effect on racial/ethnic and insurance disparities. In addition to targeting improvement in overall quality, future initiatives should include activities aimed at disparity reduction as an outcome.

Can choice of the sample population affect perceived performance: implications for performance assessment.

BACKGROUND: There is accelerating interest in measuring and reporting the quality of care delivered by health care providers and organizations, but methods for defining the patient panels for which they are held accountable are not well defined. OBJECTIVES: To examine the potential impact of using alternative algorithms to define accountable patient populations for performance assessment. RESEARCH DESIGN: We used administrative data regarding Community Health Center (CHC) visits in simulations of performance assessment for breast, cervical, and colorectal cancer screening. PARTICIPANTS: Fifteen CHC sites in the northeastern US. MEASURES: We used three different algorithms to define patient populations eligible for measurement of cancer screening rates and simulated center-level performance rates based on these alternative population definitions. RESULTS: Focusing on breast cancer screening, the percentage of women aged 51-75 eligible for this measure across CHCs, if using the most stringent algorithm (requiring a visit in the assessment year plus at least one visit in the 2 years prior), ranged from 28% to 60%. Analogous ranges for cervical and colorectal cancer screening were 18-59% and 26-62%, respectively. Simulated performance data from the centers demonstrate that variations in eligible patient populations across health centers could lead to the appearance of large differences in health center performance or differences in expected rankings of CHCs when no such differences exist. For instance, when holding performance among similar populations constant, but varying the proportion of populations seen across different health centers, simulated health center adherence to screening guidelines varied by over 15% even though actual adherence for similar populations did not differ. CONCLUSIONS: Quality measurement systems, such as those being used in pay-for-performance and public reporting programs, must consider the definitions used to identify sample populations and how such populations might differ across providers, clinical practice groups, and provider systems.

Strategies to improve chronic disease management in seven metro Boston community health centers.

BACKGROUND: The Community, Health Center, and Academic Medicine Partnership Project (CHAMPP) is a partnership between medical researchers, community health centers (CHCs), and a community advisory committee focused on reducing cardiovascular morbidity related to hypertension and diabetes for non-Hispanic Black and Hispanic populations in Boston, Massachusetts. OBJECTIVE: We conducted site visits at seven participating CHCs, located in Boston. The visits were to solicit health center staff opinions about site-specific barriers and enabling factors for optimum preventative cardiovascular care for racial/ethnic minority patients receiving hypertension and diabetes care at their centers. METHODS: Site visits included a tour of each health center and a series of directed interviews with center personnel. Site visit notes were reviewed to identify themes that emerged during the course of each site visit. A summary matrix was developed for each health center, which included information regarding the most salient and persistent themes of the visit. RESULTS: Site visits uncovered several patient-, provider-, CHC-, and community-based factors that either facilitate or hinder optimal care of chronic disease patients. Commonly referenced barriers included the need for improved patient adherence to provider recommendations; insufficient time for providers to address complex health issues presented by patients and the need for a broader range of healthier food options in surrounding communities. Interactive patient groups and community health workers (CHWs) have been well received when implemented. CONCLUSION: Recommendations included adopting case management as a part of usual care for chronic disease patients; additionally, widespread implementation of CHWs may to provide a platform for more comprehensive care for patients.

Inside the health disparities collaboratives: a detailed exploration of quality improvement at community health centers.

BACKGROUND: Quality improvement collaboratives (QICs) based on the Chronic Care Model (CCM) are widely used models for improving medical care, but there has been little information to date about the specific projects undertaken by participants in these collaboratives and their outcomes. OBJECTIVES: To describe initiatives undertaken by community health centers (CHCs) participating in QICs (the Health Disparities Collaboratives) for asthma, cardiovascular disease, or diabetes, and to determine whether particular features of these initiatives were associated with improvement in health care processes or outcomes. RESEARCH DESIGN: Observational cohort study. DATA SOURCES/STUDY SETTING: Reports of quality improvement (QI) activities and clinical data from 40 CHCs participating in Health Disparities Collaboratives, 2000-2002. MEASURES: Clinical quality scores based on indicators of chronic disease care. RESULTS: Participating CHCs undertook an average of 44 QI activities per center (range, 8-84). These interventions were distributed broadly throughout the elements of the CCM, with particular emphasis on patient registry development and linkages to the surrounding community. Fifty-three percent of the interventions were fully institutionalized and 28% were evaluated by the centers. We found no relationships between improvement in quality and markers of QI activity quantity, intensity, or CCM category. CONCLUSIONS: Organizations participating in QICs fully integrate the CCM components into their QI activities. However, it remains unclear how specific activities pursued under the guidance of the CCM and QICs contribute to quality improvement.

Access to specialty care and medical services in community health centers.

Although community health centers (CHCs) provide primary health services to the medically underserved and poor, limited access to off-site specialty services may lead to poorer outcomes among underinsured CHC patients. This study evaluates access to specialty health services for patients receiving care in CHCs, using a survey of medical directors of all federally qualified CHCs in the United States in 2004. Respondents reported that uninsured patients had greater difficulty obtaining access to off-site specialty services, including referrals and diagnostic testing, than did patients with Medicaid, Medicare, or private insurance.

The quality of chronic disease care in U.S. community health centers.

Community health centers (CHCs) are responsible for providing care for more than fifteen million Americans, many of whom are members of groups who have been documented to receive low-quality care. This study examines the quality of care for patients with chronic disease in a nationally representative sample of federally funded CHCs. Fewer than half of eligible patients received appropriate care for the majority of indicators measured, and uninsured patients received poorer care than insured patients. Although the quality of chronic disease care in CHCs compares favorably with that of care received in other settings, gaps in quality were observed for the uninsured.

Free at last? Social dominance, loss aversion, and White and Black Americans' differing assessments of racial progress.

White Americans tend to believe that there has been greater progress toward racial equality than do Black Americans. The authors explain this difference by combining insights from prospect theory and social dominance theory. According to prospect theory, changes seem greater when framed as losses rather than gains. Social dominance theory predicts that White Americans tend to view increases in equality as losses, whereas Black Americans view them as gains. In Studies 1 and 2, the authors experimentally tested whether groups judge the same change differently depending on whether it represents a loss or gain. In Studies 3-6, the authors used experimental methods to test whether White participants who frame equality-promoting changes as losses perceive greater progress toward racial equality. The authors discuss theoretical and political implications for progress toward a just society.