Relational climate, quality and costs: evidence from diabetes care

Shortfalls in quality of care and rising costs have resulted in a widespread interest in developing strategies that enhance the efficiency of health care delivery. The implementation of multidisciplinary integrative teams of providers is a popular quality improvement intervention designed to manage patients with chronic conditions. However, little attention has been paid to the work environment, which may facilitate organizational change success. Relational climate is a measure of the work environment that captures shared employee perceptions of interpersonal relationships including teamwork, conflict resolution and diversity acceptance. A strong relational climate may improve treatment design, care delivery and process evaluation, leading to better quality and lower costs. This dissertation contains three chapters that seek to understand the influence of relational climate in primary care on quality and costs of diabetes care. Study 1, Relational Climate and Quality of Diabetes Care, measured quality of diabetes care using process-based and intermediate outcome indicators. It assessed whether relational climate was associated with quality of diabetes care. We used longitudinal data (2008– 2012) from the Veterans Health Administration. Multivariate regression analyses accounting for patient, clinic and parent facility characteristics suggested a positive association between relational climate and process-based indicators of diabetes quality of care. Study 2. Relational Climate and Costs of Diabetes Care, evaluated the association between relational climate and costs incurred by diabetic patients differentiating among outpatient, inpatient and total costs. It compared a Generalized Linear Model with the gamma distribution and the log link and a logged model with the Duan’s smearing adjustor. Cost models accounted for quality of diabetes care, besides other patient and clinic characteristics. Results indicated that relational climate contributes to lower outpatient and total costs. Study 3. The Indirect Association of Relational Climate and Costs through Quality, refines the cost-saving estimates of relational climate by accounting for the indirect influence of relational climate on costs through quality. The quality and the cost equations were estimated simultaneously within a treatment-effects model to account for selection bias in treatment compliance. We concluded that a stronger relational climate contributes to lower total costs. The results of this dissertation suggest that improving relational climate is a cost-effective intervention

Stroke in Sierra Leone: Case fatality rate and functional outcome after stroke in Freetown

Background: There is limited information on long term outcomes after stroke in Sub-Saharan Africa (SSA). Current estimates of case fatality rate (CFR) in SSA are based on small sample sizes with varying study design and report high heterogeneity. Aims: We report CFR and functional outcomes from a large, prospective, longitudinal cohort of stroke patients in Sierra Leone and describe factors associated with mortality and functional outcome. Methods: A prospective longitudinal stroke register was established at both adult tertiary government hospitals in Freetown, Sierra Leone. It recruited all patients ≥18 years with stroke, using the World Health Organization definition, from May 2019 until October 2021. To reduce selection bias onto the register all investigations were paid by the funder and outreach conducted to raise awareness of the study. Sociodemographic data, National Institute of Health Stroke Scale (NIHSS) and Barthel Index (BI) was collected on all patients on admission, at seven days, 90 days, one year and two years post stroke. Cox proportional-hazards models were constructed to identify factors associated with all-cause mortality. A binomial logistic regression model reports odds ratio (OR) for functional independence at one year. Results: 986 patients with stroke were included, of which 847 (85.9%) received neuroimaging. Follow up rate was 81.5% at one year, missing item data was <1% for most variables. Stroke cases were equally split by sex and mean age was 58.9 (SD: 14.0) years. 625 (63%) were ischaemic, 206 (21%) primary intracerebral haemorrhage, 25 (3%) subarachnoid haemorrhage and 130 (13%) were of undetermined stroke type. Median NIHSS was 16 (9-24). CFR at 30 days, 90 days, 1 year and 2 years was 37.1%, 44.4%, 49.7% and 53.2% respectively. Factors associated with increased fatality were male sex HR:1.28 (1.05-1.56), previous stroke HR:1.34 (1.04-1.71), atrial fibrillation HR:1.58(1.06-2.34), subarachnoid haemorrhage HR:2.31 (1.40-3.81), undetermined stroke type HR: 3.18(2.44-4.14) and in-hospital complications HR: 1.65 (1.36-1.98). 93% of patients were completely independent prior to their stroke, declining to 19% at one year after stroke. Functional improvement was most likely to occur between 7 and 90-days post stroke with 35% patients improving, and 13% improving between 90 days to one year. Increasing age OR: 0.97(0.95-0.99), previous stroke OR: 0.50 (0.26-0.98), NIHSS OR 0.89 (0.86-0.91), undetermined stroke type OR:0.18 (0.05-0.62) and ≥1 in hospital complication OR:0.52 (0.34-0.80) were associated with lower OR of functional independence at one year. Whilst hypertension OR:1.98 (1.14-3.44) and being the primary breadwinner of the household OR:1.59 (1.01-2.49) were associated with functional independence. Discussion: Stroke in Sierra Leone affected younger people, and resulted in high rates of fatality and functional impairment relative to global averages. Key clinical priorities for reducing fatality include preventing stroke-related complications through evidence-based stroke care; improved detection and management of atrial fibrillation, and increasing coverage of secondary prevention. Further research into care pathways and interventions to encourage care seeking for less severe strokes should be prioritized. Data availability: Requests for access to anonymized data for academic use should be made to the SISLE team https://www.kcl.ac.uk/research/stroke

National surveillance data analysis of COVID-19 vaccine uptake in England by women of reproductive age

Women of reproductive age are a group of particular concern with regards to vaccine uptake, related to their unique considerations of menstruation, fertility, and pregnancy. To obtain vaccine uptake data specific to this group, we obtained vaccine surveillance data from the Office for National Statistics, linked with COVID-19 vaccination status from the National Immunisation Management Service, England, from 8 Dec 2020 to 15 Feb 2021; data from 13,128,525 such women at population-level, were clustered by age (18–29, 30–39, and 40–49 years), self-defined ethnicity (19 UK government categories), and index of multiple deprivation (IMD, geographically-defined IMD quintiles). Here we show that among women of reproductive age, older age, White ethnicity and being in the least-deprived index of multiple deprivation are each independently associated with higher vaccine uptake, for first and second doses; however, ethnicity exerts the strongest influence (and IMD the weakest). These findings should inform future vaccination public messaging and policy

The Socioeconomic Determinants of Health : Economic Growth and Health in the OECD Countries during the Last Three Decades

In times of economic crisis, most countries face the dual challenge of fighting unemployment while restraining social expenditures and closing budget deficits. The spending cuts and lack of employment affect a large number of decisions that have a direct or indirect impact on health. This impact is likely to be unevenly distributed among different groups within the population, and therefore not only health levels may be at risk, but also their distribution. The main purpose of this paper is to explore links between unemployment, economic growth, inequality, and health. We regress a measure of health, the Health Human Development Index (HHDI), against a set of explanatory variables accounting for the countries' economic performance (GDP growth, unemployment, and income inequality), and some institutional factors related to welfare spending and the nature of the health systems for the past three decades. In addition, we explore the causes for different results obtained using an inequality-adjusted HHDI, vs. the unadjusted HHDI. We describe a panel data model, estimated by random effects, for 32 countries from 1980-2010, in five-year intervals. Our conclusion is that the high economic growth observed in the last decades, together with an increase in the levels of income inequality and/or poverty, explain the observed changes of our index, particularly when this indicator is weighted by health inequality. The remaining institutional variables (the share of social spending, health care expenditure, and the type of health systems) show the expected sign but are not statistically significant. A comment on the methodological pitfalls of the approach completes the analysis

The socioeconomic determinants of health: economic growth and health in the OECD countries during the last three decades

In times of economic crisis, most countries face the dual challenge of fighting unemployment while restraining social expenditures and closing budget deficits. The spending cuts and lack of employment affect a large number of decisions that have a direct or indirect impact on health. This impact is likely to be unevenly distributed among different groups within the population, and therefore not only health levels may be at risk, but also their distribution. The main purpose of this paper is to explore links between unemployment, economic growth, inequality, and health. We regress a measure of health, the Health Human Development Index (HHDI), against a set of explanatory variables accounting for the countries’ economic performance (GDP growth, unemployment, and income inequality), and some institutional factors related to welfare spending and the nature of the health systems for the past three decades. In addition, we explore the causes for different results obtained using an inequality-adjusted HHDI, vs. the unadjusted HHDI. We describe a panel data model, estimated by random effects, for 32 countries from 1980–2010, in five-year intervals. Our conclusion is that the high economic growth observed in the last decades, together with an increase in the levels of income inequality and/or poverty, explain the observed changes of our index, particularly when this indicator is weighted by health inequality. The remaining institutional variables (the share of social spending, health care expenditure, and the type of health systems) show the expected sign but are not statistically significant. A comment on the methodological pitfalls of the approach completes the analysis

The feasibility, repeatability, validity and responsiveness of the EQ-5D-3L in Krio for patients with stroke in Sierra Leone

Objectives: To assess the feasibility, repeatability, validity and responsiveness of the EQ-5D-3L in Krio for patients with stroke in Sierra Leone, the first psychometric assessment of the EQ-5D-3L to be conducted in patients with stroke in Sub Saharan Africa. Methods: A prospective stroke register at two tertiary government hospitals recruited all patients with the WHO definition of stroke and followed patients up at seven days, 90 days and one year post stroke. The newly translated EQ-5D-3L, Barthel Index (BI), modified Rankin Scale (mRS) and National Institute of Health Stroke Scale (NIHSS), a measure of stroke severity, were collected by trained researchers, face to face during admission and via phone at follow up. Feasibility was assessed by completion rate and proportion of floor/ceiling effects. Internal consistency was assessed by inter item correlations (IIC) and Cronbach’s alpha. Repeatability of the EQ-5D-3L was examined using test–retest, EQ-5D-3L utility scores at 90 days were compared to EQ-5D-3L utility scores at one year in the same individuals, whose Barthel Index had remained within the minimally clinical important difference. Known group validity was assessed by stroke severity. Convergent validity was assessed against the BI, using Spearman’s rho. Responsiveness was assessed in patients whose BI improved or deteriorated from seven to 90 days. Sensitivity analyses were conducted using the UK and Zimbabwe value sets, to evaluate the effect of value set, in a subgroup of patients with no formal education to evaluate the influence of patient educational attainment, and using the mRS instead of the BI to evaluate the influence of utilising an alternative functional scale. Results: The EQ-5D-3L was completed in 373/460 (81.1%), 360/367 (98.1%) and 299/308 (97.1%) eligible patients at seven days, 90 days and one year post stroke. Missing item data was low overall, but was highest in the anxiety/depression dimension 1.3% (5/373). Alpha was 0.81, 0.88 and 0.86 at seven days, 90 days and one year post stroke and IIC were within pre-specified ranges. Repeatability of the EQ-5D-3L was moderate to poor, weighted Kappa 0.23–0.49. EQ-5D-3L utility was significantly associated with stroke severity at all timepoints. Convergent validity with BI was strong overall and for shared subscales. EQ-5D-3L was moderately responsive to both improvement Cohen’s D 0.55 (95% CI:0.15—0.94) and deterioration 0.92 (95% CI:0.29—1.55). Completion rates were similar in patients with no formal education 148/185 (80.0%) vs those with any formal education 225/275 (81.8%), and known group validity for stroke severity in patients with no formal education was strong. Using the Zimbabwe value set instead of the UK value set, and using the mRS instead of the BI did not change the direction or significance of results. Conclusions: The EQ-5D-3L for stroke in Sierra Leone was feasible, and responsive including in patients with no formal education. However, repeatability was moderate to poor, which may be due to the study design, but should add a degree of caution in the analysis of repeated measures of EQ-5D-3L over time in this population. Known group validity and convergent validity with BI and mRS were strong. Further research should assess the EQ-5D in the general population, examine test–retest reliability over a shorter time period and assess the acceptability and validity of the anxiety/depression dimension against other validated mental health instruments. Development of an EQ-5D value set for West Africa should be a research priority.</p

Disease patterns in high-cost individuals with multimorbidity: a retrospective cross-sectional study in primary care

Background ‘High-cost’ individuals with multimorbidity account for a disproportionately large share of healthcare costs and are at most risk of poor quality of care and health outcomes.Aim To compare high-cost with lower-cost individuals with multimorbidity and assess whether these populations can be clustered based on similar disease patterns.Design and setting A cross-sectional study based on 2019/2020 electronic medical records from adults registered to primary care practices (n = 41) in a London borough.Method Multimorbidity is defined as having ≥2 long-term conditions (LTCs). Primary care costs reflected consultations, which were costed based on provider and consultation types. High cost was defined as the top 20% of individuals in the cost distribution. Descriptive analyses identified combinations of 32 LTCs and their contribution to costs. Latent class analysis explored clustering patterns.Results Of 386 238 individuals, 101 498 (26%) had multimorbidity. The high-cost group (n = 20 304) incurred 53% of total costs and had 6833 unique disease combinations, about three times the diversity of the lower-cost group (n = 81 194). The trio of anxiety, chronic pain, and depression represented the highest share of costs (5%). High-cost individuals were best grouped into five clusters, but no cluster was dominated by a single LTC combination. In three of five clusters, mental health conditions were the most prevalent.Conclusion High-cost individuals with multimorbidity have extensive heterogeneity in LTCs, with no single LTC combination dominating their primary care costs. The frequent presence of mental health conditions in this population supports the need to enhance coordination of mental and physical health care to improve outcomes and reduce costs

Cost-effectiveness of the children and young People's health partnership (CYPHP) model of integrated care versus enhanced usual care: analysis of a pragmatic cluster randomised controlled trial in South London

Background: Integration of paediatric health services across primary and secondary care holds great promise for the management of chronic conditions, yet limited evidence exists on its cost-effectiveness. This paper reports the results of the economic evaluation of the Children and Young People's Health Partnership (CYPHP) aimed at integrating care for children with common chronic conditions (asthma, eczema, and constipation). Methods: Cost-effectiveness, cost-utility and cost-benefit analyses were conducted alongside a pragmatic cluster randomised controlled trial involving 97,970 children in 70 general practices in South London, including 1,731 participants with asthma, eczema and or constipation with self-reported health-related quality of life measures. Analyses considered the National Health Service (NHS)/Personal Social Service (PSS) and societal perspectives, and time horizons of 6 and 12-months. Costs included intervention delivery, health service use (primary and secondary care), referrals to social services, and time lost from work and school. Health outcomes were measured through the Paediatric Quality of Life Inventory, the Child Health Utility 9-Dimensions, and monetarised benefit combining Quality-Adjusted Life Years (QALYs) for children and parental mental well-being. Results present incremental cost-effectiveness ratios (ICERs), compared to a willingness to pay threshold (WTP) of £20,000–30,000/QALY, and net monetary benefit (NMB), with deterministic sensitivity analyses. Findings: At 6 months, from the NHS/PSS perspective, CYPHP is not cost-effective (ICER = £721,000/QALY), and this result holds at 12 months (ICER = £45,586/QALY). However, under the societal perspective CYPHP falls within WTP thresholds (ICER = £22,966/QALY), with a probability of being cost-effective between 0.4 and 0.6 at £20,000/QALY and £30,000/QALY, respectively. The cost-benefit analysis yields a positive NMB of CYPHP at 12 months £109 under the societal perspective, with similar probabilistic results. Interpretation: CYPHP was not cost-effective at 6 months or under the NHS/PSS perspective. Trends towards cost-effectiveness are observed once a longer time horizon and a more inclusive perspective on effects is considered. Further research beyond 12 months is needed as the model becomes firmly embedded into the paediatric healthcare delivery system. Funding: This research was funded by Guy's and St Thomas' Charity, Lambeth and Southwark Clinical Commissioning Groups. The funders had no role in the writing of the manuscript, decision to submit it for publication, or any other process involved in the research.</p