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.

The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model.

Background and Objectives: Globorisk is a well-validated risk prediction model that predicts cardiovascular disease (CVD) in the national population of all countries. We aim to apply the Globorisk calculator and provide the overall, sex-specific, ethnic-specific, region-specific, and state-specific 10-year risk for CVD among Malaysian adults. Materials and Methods: Using Malaysia's risk factor levels and CVD event rates, we calculated the laboratory-based and office-based risk scores to predict the 10-year risk for fatal CVD and fatal plus non-fatal CVD for the Malaysian adult population. We analysed data from 8253 participants from the 2015 nationwide Malaysian National Health and Morbidity Survey (NHMS 2015). The average risk for the 10-year fatal and fatal plus non-fatal CVD was calculated, and participants were further grouped into four categories: low risk (<10% risk for CVD), high risk A (≥10%), high risk B (≥20%), and high risk C (≥30%). Results: Results were reported for all participants and were then stratified by sex, ethnicity, region, and state. The average risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD, and office-based fatal plus non-fatal CVD were 0.07 (SD = 0.10), 0.14 (SD = 0.12), and 0.11 (SD = 0.09), respectively. Conclusions: There were substantial differences in terms of the sex-, ethnicity- and state-specific Globorisk risk scores obtained.

The Impact of Prehabilitation on Patient Outcomes in Hepatobiliary, Colorectal, and Upper Gastrointestinal Cancer Surgery: A PRISMA-Accordant Meta-analysis.

OBJECTIVE: To determine the impact of prehabilitation on hospital length of stay, functional capacity, complications, and mortality after surgery in patients with hepatobiliary, colorectal, and upper gastrointestinal cancer. BACKGROUND: "Prehabilitation" encompasses exercise, nutrition, and psychosocial interventions to optimize health before surgery. The benefits of prehabilitation are ill-defined. METHODS: Medline, Embase and Cochrane Databases were searched systematically for the terms "prehabilitation AND exercise," "perioperative care AND cancer surgery," and "colorectal AND hepatobiliary AND hepatopancreatobiliary AND esophagogastric AND recovery AND outcomes." Primary outcomes analyzed were hospital length of stay, functional capacity, significant postoperative complications (Clavien Dindo ≥ III), and mortality. A meta-analysis was conducted on the effect of all-modality prehabilitation for patients with colorectal, hepatopancreatobiliary and upper gastrointestinal cancer surgery using the raw mean difference, risk difference, and a random-effects model. RESULTS: Three hundred and seventy seven original titles were identified. Fifteen studies (randomized controlled trials; n = 9 and uncontrolled trials; n = 6) were included in the meta-analysis. Prehabilitation reduced hospital length of stay by 1.78 days versus standard care (95% CI: -3.36, -0.20, P < 0.05). There was no significant difference in functional capacity with prehabilitation determined using the 6-minute walk test (P = 0.816) and no significant reduction in postoperative complications (P = 0.378) or mortality rates (P = 0.114). CONCLUSIONS: Prehabilitation was associated with reduced hospital length of stay but had no effect on functional capacity, postoperative complications, or mortality rates. Thus, prehabilitation should be recommended to accelerate recovery from cancer surgery, demonstrated by reduced hospital length of stay.

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.

COVID-19: Transatlantic Declines in Pediatric Emergency Admissions.

INTRODUCTION: This cross-sectional study looked at the impact of the SARS-CoV-2/COVID-19 pandemic on pediatric emergency department (PED) attendances and admissions (as a proxy for severity of illness) in the United States and United Kingdom. METHODS: Data were extracted for children and adolescents, younger than 16 years, attending Royal Manchester Children's Hospital (RMCH, United Kingdom), and Yale New Haven Children's Hospital (YNHCH, United States). Attendances for weeks 1 to 20 of 2020 and 2019 were compared, and likelihood of admission was assessed via calculation of odds ratios, using week 13 (lockdown) as a cutoff. RESULTS: Attendance numbers for each PED decreased in 2020 compared with 2019 (RMCH, 29.2%; YNHCH, 24.8%). Odds of admission were significantly higher after lockdown than in 2019-RMCH (odds ratio, 1.26; 95% confidence interval, 1.08-1.46) and YNHCH (odds ratio, 1.60; 95% confidence interval, 1.31-1.98). CONCLUSIONS: Although the absolute numbers of children and adolescents attending the PED and being admitted decreased after lockdown, the acuity of illness of those attending appears to be higher.

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.

Childhood Malnutrition and Its Determinants among Under-Five Children in Ghana.

BACKGROUND: Childhood malnutrition adversely affects short- and long-term health and economic well-being of children. Malnutrition is a global challenge and accounts for around 40% of under-five mortality in Ghana. Limited studies are available indicating determinants of malnutrition among children. This study investigates prevalence and determinants of malnutrition among children under-five with the aim of providing advice to policymakers and other stakeholders responsible for the health and nutrition of children. METHODS: The study used data from the 2008 Ghana Demographic and Health Survey (GDHS). Analyses were conducted on 2083 children under 5 years old nested within 1641 households with eligible anthropometric measurements, using multilevel regression analysis. Results from the multilevel models were used to compute probabilities of malnutrition. RESULTS: This study observed that 588 (28%), 276 (13%), and 176 (8%) of the children were moderately 'stunted', moderately 'underweight', and moderately 'wasted' respectively. Older ages are associated with increased risk of stunting and underweight. Longer breast-feeding duration, multiple births, experience of diarrhoeal episodes, small size at birth, absence of toilet facilities in households, poor households, and mothers who are not covered by national health insurance are associated with increased risk of malnutrition. Increase in mother's years of education and body mass index are associated with decreased malnutrition. Strong residual household-level variations in childhood nutritional outcomes were found. CONCLUSION: Policies and intervention strategies aimed at improving childhood nutrition and health should address the risk factors identified and the need to search for additional risk factors that might account for the unexplained household-level variations.

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.

Mortality and cancer incidence in UK military veterans involved in human experiments at Porton Down: 48-year follow-up.

BACKGROUND: We investigated whether military personnel involved in chemical warfare agent research at Porton Down had increased rates of mortality or cancer incidence. METHODS: This was a historical cohort study comprising male UK veterans who participated in the 'Service Volunteer Programme', 1941-89, identified from Porton Down experiment books, and a comparison group of similar 'non-Porton Down' veterans identified from military personnel files. Of 19 233 records retrieved for each group, 18 133 (94%) Porton Down and 17 591 (92%) non-Porton Down were included in our analytical sample. Mortality and cancer incidence data were obtained from national registries up to December 2019. RESULTS: Over a median follow-up of 48.1 years, 10 935 Porton Down veterans (60.3%) and 10 658 non-Porton Down veterans (60.6%) had died. After adjustment for age, year of birth and military service characteristics, overall, Porton Down veterans had a 6% higher rate of all-cause mortality compared with non-Porton Down veterans [hazard ratio (HR) = 1.06, 95% confidence interval (CI) 1.03-1.09]. For cause-specific mortality, Porton Down veterans had higher rates of death from genitourinary diseases (HR = 1.34, 95% CI 1.05-1.70) and deaths attributable to alcohol (HR = 1.44, 95% CI 1.07-1.94), with weaker associations observed for deaths from infectious and parasitic diseases (HR = 1.32, 95% CI 0.99-1.78), lung cancer (HR = 1.10, 95% CI 1.01-1.20) and external causes (HR = 1.15, 95% CI 1.00-1.32). Associations with all-cause mortality were stronger for veterans who attended Porton Down between 1960 and 1964 (HR = 1.34, 95% CI 1.19-1.50); likelihood-ratio test, P = 0.006. There was no association between attendance at Porton Down and overall cancer incidence (HR = 1.00, 95% CI 0.95-1.03). CONCLUSIONS: Overall, mortality rates were slightly higher in Porton Down veterans, but there was no difference in cancer incidence. Associations for mortality were stronger in Porton Down veterans who attended in the early 1960s.

Variation in patient-sharing networks of physicians across the United States.

CONTEXT: Physicians are embedded in informal networks that result from their sharing of patients, information, and behaviors. OBJECTIVES: To identify professional networks among physicians, examine how such networks vary across geographic regions, and determine factors associated with physician connections. DESIGN, SETTING, AND PARTICIPANTS: Using methods adopted from social network analysis, Medicare administrative data from 2006 were used to study 4,586,044 Medicare beneficiaries seen by 68,288 physicians practicing in 51 hospital referral regions (HRRs). Distinct networks depicting connections between physicians (defined based on shared patients) were constructed for each of the 51 HRRs. MAIN OUTCOMES MEASURES: Variation in network characteristics across HRRs and factors associated with physicians being connected. RESULTS: The number of physicians per HRR ranged from 135 in Minot, North Dakota, to 8197 in Boston, Massachusetts. There was substantial variation in network characteristics across HRRs. For example, the mean (SD) adjusted degree (number of other physicians each physician was connected to per 100 Medicare beneficiaries) across all HRRs was 27.3 (range, 11.7-54.4); also, primary care physician relative centrality (how central primary care physicians were in the network relative to other physicians) ranged from 0.19 to 1.06, suggesting that primary care physicians were more than 5 times more central in some markets than in others. Physicians with ties to each other were far more likely to be based at the same hospital (69.2% of unconnected physician pairs vs 96.0% of connected physician pairs; adjusted rate ratio, 0.12 [95% CI, 0.12-0.12]; P < .001), and were in closer geographic proximity (mean office distance of 21.1 km for those with connections vs 38.7 km for those without connections, P < .001). Connected physicians also had more similar patient panels in terms of the race or illness burden than unconnected physicians. For instance, connected physician pairs had an average difference of 8.8 points in the percentage of black patients in their 2 patient panels compared with a difference of 14.0 percentage points for unconnected physician pairs (P < .001). CONCLUSIONS: Network characteristics vary across geographic areas. Physicians tend to share patients with other physicians with similar physician-level and patient-panel characteristics.

Spatial Variation of Survival for Colorectal Cancer in Malaysia.

A patient's survival may depend on several known and unknown factors and it may also vary spatially across a region. Socioeconomic status, accessibility to healthcare and other environmental factors are likely to contribute to survival rates. The aim of the study was to model the spatial variation in survival for colorectal cancer patients in Malaysia, accounting for individual and socioeconomic risk factors. We conducted a retrospective study of 4412 colorectal cancer (ICD-10, C18-C20) patients diagnosed from 2008 to 2013 to model survival in CRC patients. We used the data recorded in the database of the Malaysian National Cancer Patient Registry-Colorectal Cancer (NCPR-CRC). Spatial location was assigned based on the patients' central district location, which involves 144 administrative districts of Malaysia. We fitted a parametric proportional hazards model in which the spatially correlated frailties were modelled by a log-Gaussian stochastic process to analyse the spatially referenced survival data, which is also known as a spatial survival model. After controlling for individual and area level characteristics, our findings indicate wide spatial variation in colorectal cancer survival across Malaysia. Better healthcare provision and higher socioeconomic index in the districts where patients live decreased the risk of death from colorectal cancer, but these associations were not statistically significant. Reliable measurement of environmental factors is needed to provide good insight into the effects of potential risk factors for the disease. For example, a better metric is needed to measure socioeconomic status and accessibility to healthcare in the country. The findings provide new information that might be of use to the Ministry of Health in identifying populations with an increased risk of poor survival, and for planning and providing cancer control services.

Improving the management of chronic disease at community health centers.

BACKGROUND: The Health Disparities Collaboratives of the Health Resources and Services Administration (HRSA) were designed to improve care in community health centers, where many patients from ethnic and racial minority groups and uninsured patients receive treatment. METHODS: We performed a controlled preintervention and postintervention study of community health centers participating in quality-improvement collaboratives (the Health Disparities Collaboratives sponsored by the HRSA) for the care of patients with diabetes, asthma, or hypertension. We enrolled 9658 patients at 44 intervention centers that had participated in the collaboratives and 20 centers that had not participated (external control centers). Each intervention center also served as an internal control for another condition. Quality measures were abstracted from medical records at each health center. We created overall quality scores by standardizing and averaging the scores from all of the applicable measures. Changes in quality were evaluated with the use of hierarchical regression models that controlled for patient characteristics. RESULTS: Overall, the intervention centers had considerably greater improvement than the external and internal control centers in the composite measures of quality for the care of patients with asthma and diabetes, but not for those with hypertension. As compared with the external control centers, the intervention centers had significant improvements in the measures of prevention and screening, including a 21% increase in foot examinations for patients with diabetes, and in disease treatment and monitoring, including a 14% increase in the use of antiinflammatory medication for asthma and a 16% increase in the assessment of glycated hemoglobin. There was no improvement, however, in any of the intermediate outcomes assessed (urgent care or hospitalization for asthma, control of glycated hemoglobin levels for diabetes, and control of blood pressure for hypertension). CONCLUSIONS: The Health Disparities Collaboratives significantly improved the processes of care for two of the three conditions studied. There was no improvement in the clinical outcomes studied.

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.

Associations between Length of Stay in Long Term Care Facilities and End of Life Care. Analysis of the PACE Cross-Sectional Study.

Long term care facilities (LTCFs) are increasingly a place of care at end of life in Europe. Longer residence in an LTCF prior to death has been associated with higher indicators of end of life care; however, the relationship has not been fully explored. The purpose of this analysis is to explore associations between length of stay and end of life care. The analysis used data collected in the Palliative Care for Older People in care and nursing homes in Europe (PACE) study, a cross-sectional mortality follow-back survey of LTCF residents who died within a retrospective 3-month period, conducted in Belgium, England, Finland, Italy, the Netherlands and Poland. Primary outcomes were quality of care in the last month of life, comfort in the last week of life, contact with health services in the last month of life, presence of advance directives and consensus in care. Longer lengths of stay were associated with higher scores of quality of care in the last month of life and comfort in the last week of life. Longer stay residents were more likely to have advance directives in place and have a lasting power of attorney for personal welfare. Further research is needed to explore the underlying reasons for this trend, and how good quality end of life care can be provided to all LTCF residents.

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.

Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors.

OBJECTIVES: To evaluate the effect of social network influences on seasonal influenza vaccination uptake by healthcare workers. DESIGN: Cross-sectional, observational study. SETTING: A large secondary care NHS Trust which includes four hospital sites in Greater Manchester. PARTICIPANTS: Foundation doctors (FDs) working at the Pennine Acute Hospitals NHS Trust during the study period. Data collection took place during compulsory weekly teaching sessions, and there were no exclusions. Of the 200 eligible FDs, 138 (70%) provided complete data. PRIMARY OUTCOME MEASURES: Self-reported seasonal influenza vaccination status. RESULTS: Among participants, 100 (72%) reported that they had received a seasonal influenza vaccination. Statistical modelling demonstrated that having a higher proportion of vaccinated neighbours increased an individual's likelihood of being vaccinated. The coefficient for γ, the social network parameter, was 0.965 (95% CI: 0.248 to 1.682; odds: 2.625 (95% CI: 1.281 to 5.376)), that is, a diffusion effect. Adjusting for year group, geographical area and sex did not account for this effect. CONCLUSIONS: This population exhibited higher than expected vaccination coverage levels-providing protection both in the workplace and for vulnerable patients. The modelling approach allowed covariate effects to be incorporated into social network analysis which gave us a better understanding of the network structure. These techniques have a range of applications in understanding the role of social networks on health behaviours.