A prospective analysis of the effect of neighbourhood and individual social capital on changes in self-rated health of people with chronic illness

Background: Social capital in the living environment, both on the individual and neighbourhood level, is positively associated with people’s self-rated health; however, prospective and longitudinal studies are rare, making causal conclusions difficult. To shed more light on the direction of the relationship between social capital and self-rated health, we investigated main and interaction effects of individual and neighbourhood social capital at baseline on changes in self-rated health of people with a somatic chronic disease. Methods: Individual social capital, self-rated health and other individual level variables were assessed among a nationwide sample of 1048 non-institutionalized people with a somatic chronic disease residing in 259 neighbourhoods in the Netherlands. The assessment of neighbourhood social capital was based on data from a nationwide survey among the general Dutch population. The association of social capital with changes in self-rated health was assessed by multilevel regression analysis. Results: Both individual social capital and neighbourhood social capital at baseline were significantly associated with changes in self-rated health over the time period of 2005 to 2008 while controlling for several disease characteristics, other individual level and neighbourhood level characteristics. No significant interactions were found between social capital on the individual and on the neighbourhood level. Conclusions: Higher levels of individual and neighbourhood social capital independently and positively affect changes in self-rated health of people with chronic illness. Although most of the variation in health is explained at the individual level, one’s social environment should be considered as a possible relevant influence on the health of the chronically ill

Neighbourhood social and physical environment and general practitioner assessed morbidity.

The aim of our study was to investigate the association between health enhancing and threatening, and social and physical aspects of the neighbourhood environment and general practitioner (GP) assessed morbidity of the people living there, in order to find out whether the effects of environmental characteristics add up or modify each other. We combined GP electronic health records with environmental data on neighbourhoods in the Netherlands. Cross-classified logistic multilevel models show the importance of taking into account several environmental characteristics and confounders, as social capital effects on the prevalence of morbidity disappear when other area characteristics are taken into account. Stratification by area socio-economic status, shows that the association between environmental characteristics and the prevalence of morbidity is stronger for people living in low SES areas. In low SES areas, green space seems to alleviate effects of air pollution on the prevalence of high blood pressure and diabetes, while the effects of green space and social capital reinforce each other

The role of health literacy in explaining the association between educational attainment and the use of out-of-hours primary care services in chronically ill people: a survey study

Abstract Background Low socioeconomic status (SES) is persistently associated with poor health and suboptimal use of healthcare services, and more unplanned healthcare use. Suboptimal use of emergency and acute healthcare services may increase health inequalities, due to late diagnosis or lack of continuity of care. Given that health literacy has been associated with healthcare utilisation and with education attainment, we sought to explore whether health literacy is related to the use of out-of-hours (OOH) Primary Care Services (PCSs). Additionally, we aimed to study whether and to what extent health literacy accounts for some of the association between education and OOH PSC use. Methods A survey including measures of education attainment, health literacy (assessed by means of the Dutch version of the nine-dimension Health Literacy Questionnaire) and use of PCS was conducted among a sample of adults diagnosed with (any) somatic chronic condition in the Netherlands (response 76.3%, n = 1811). We conducted linear and logistic regression analyses to examine associations between education level and PCS use in the past year. We performed mediation analyses to assess whether the association between education and PCS use was (partly) explained by different aspects of health literacy. We adjusted the models for patient characteristics such as age and morbidity. Results Higher education attainment was associated with higher scores on the health literacy aspects Appraisal of health information, and Navigating the healthcare system. Additionally, appraisal and navigating the healthcare system partially accounted for educational differences in PCS use. Finally, higher appraisal of health information scores were associated with higher PCS utilisation. Conclusion Several aspects of health literacy were demonstrated to relate to PCS use, and partly accounted for educational differences herein. Accordingly, developing health literacy within individuals or communities may help to reduce inappropriate PCS use among people with low education

Neighbourly support of people with chronic illness; is it related to neighbourhood social capital?

The neighbourhood may provide resources for health. It is to date unknown whether people who live in neighbourhoods with more social capital have more access to practical and emotional support by neighbours, or whether this is a resource only available to those who are personally connected to people in their neighbourhood. We investigated whether support by neighbours of people with chronic illness was related to neighbourhood social capital and to individual neighbourhood connections. Furthermore, we investigated whether support received from neighbours by people with chronic illness differed according to demographic and disease characteristics. We collected data on support by neighbours and individual connections to neighbours among 2272 people with chronic illness in 2015. Data on neighbourhood social capital were collected among 69,336 people in 3425 neighbourhoods between May 2011 and September 2012. Neighbourhood social capital was estimated with ecometric measurements. We conducted multilevel regression analyses. People with chronic illness were more likely to receive practical and emotional support from neighbours if they had more individual connections to people in their neighbourhood. People with chronic illness were not more likely to receive practical and emotional support from neighbours if they lived in a neighbourhood with more social capital. People with chronic illness with moderate physical disabilities or with comorbidity, and people with chronic illness who lived together with their partner or children, were more likely to receive support from neighbours. To gain more insight into the benefits of neighbourhood social capital, it is necessary to differentiate between the resources only accessible through individual connections to people in the neighbourhood and resources provided through social capital on the neighbourhood level

Social capital, collective efficacy and the provision of social support services and amenities by municipalities in the Netherlands

Differential provision of local services and amenities has been proposed as a mechanism behind the relationship between social capital and health. The aim of this study was to investigate whether social capital and collective efficacy are related to the provision of social support services and amenities in Dutch municipalities, against a background of decentralisation of long-term care to municipalities. We used data on neighbourhood social capital, collective efficacy (the extent to which people are willing to work for the common good), and the provision of services and amenities in 2012. We included the services municipalities provide to support informal caregivers (e.g. respite care), individual services and support (e.g. domiciliary help), and general and collective services and amenities (e.g. lending point for wheelchairs). Data for social capital were collected between May 2011 and September 2012. Social capital was measured by focusing on contacts between neighbours. A social capital measure was estimated for 414 municipalities with ecometric measurements. A measure of collective efficacy was constructed based on information about the experienced responsibility for the liveability of the neighbourhood by residents in 2012, average charity collection returns in municipalities in 2012, voter turnout at the municipal elections in 2010 and the percentage of blood donors in 2012. We conducted Poisson regression and negative binomial regression to test our hypotheses. We found no relationship between social capital and the provision of services and amenities in municipalities. We found an interaction effect (coefficient = 3.11, 95% CI = 0.72-5.51, P = 0.011) of social capital and collective efficacy on the provision of support services for informal caregivers in rural municipalities. To gain more insight in the relationship between social capital and health, it will be important to study the relationship between social capital and differential provision of services and amenities more extensively and in different contexts

Associations Between Neighborhood Social Capital, Health Literacy, and Self-Rated Health Among People With Chronic Illness

Health literacy skills are important for health and self-management for people with chronic illness. Neighborhood social capital can provide resources, such as access to information and informal social control over unhealthy behavior. The benefit of these resources, and the access people have to these resources, might depend on levels of health literacy. We investigated whether neighborhood social capital is differentially related to the health of people with chronic illness according to health literacy skills. This study focused on health literacy skills in 4 domains related to the ability to access and understand health information and to the ability to perform self-management. We found a significant positive interaction between social capital and health literacy skills for accessing and understanding health information. This suggests that health literacy enhances people’s ability to gain access to and use neighborhood resources to benefit health. There was no interaction effect between social capital and health literacy skills in the other 2 domains. More research is needed to investigate how people with chronic illness can benefit from knowledge, support, and other social resources for health and self-management also whether they have limited health literacy skills

Towards a comprehensive, person-centred assessment of health literacy:translation, cultural adaptation and psychometric test of the Dutch Health Literacy Questionnaire

BackgroundMany health literacy instruments focus on reading skills, numeracy and/or information processing aspects only. In the Netherlands, as in other countries, the need for a comprehensive, person-centred measure of health literacy was observed and consequently the decision was made to translate the Health Literacy Questionnaire (HLQ) into Dutch. The HLQ has nine health literacy domains covering people's experiences and skills. This research sought to translate, culturally adapt and psychometrically test the HLQ.MethodsThe translation and adaptation was done using a systematic approach with forward translation guided by item intents, blind back translation, and a consensus meeting with the developer. The Dutch version of the HLQ was applied in a sample of non-hospitalized, chronically ill patients. Descriptive statistics were generated to describe mean, standard deviation and floor and ceiling effects for all items. A Confirmatory Factor Analysis (CFA) model was fitted to the data. Scores on the nine domains of the HLQ were compared across demographic and illness characteristics as a form of known-groups validity. Psychometric analyses included Cronbach's alpha, item-rest and item-remainder correlations.ResultsUsing CFA, the Dutch HLQ psychometric structure was found to strongly align with the hypothesised (original) nine independent domains of the English version. The nine scales were found to be highly reliable (all scales had alpha between 0.83 and 0.94). Six of the nine HLQ-scales had items that show ceiling-effects. There were no ceiling effects present at the scale level. Scores on the scales of the HLQ differed according to demographic and illness characteristics: people who were older, lower educated and living alone and patients with multiple chronic diseases generally scored lower.ConclusionsThe Dutch version of the HLQ is a robust and reliable instrument that measures nine different domains of health literacy. The questionnaire was tested in a sample of chronically ill patients, and should be further tested in the general population as well as in different disease groups. The HLQ is a major addition to currently available instruments in the Netherlands, since it measures health literacy from a multi-dimensional perspective and builds on patients' experiences and skills.</p

Neighbourly support of people with chronic illness; is it related to neighbourhood social capital?

The neighbourhood may provide resources for health. It is to date unknown whether people who live in neighbourhoods with more social capital have more access to practical and emotional support by neighbours, or whether this is a resource only available to those who are personally connected to people in their neighbourhood. We investigated whether support by neighbours of people with chronic illness was related to neighbourhood social capital and to individual neighbourhood connections. Furthermore, we investigated whether support received from neighbours by people with chronic illness differed according to demographic and disease characteristics. We collected data on support by neighbours and individual connections to neighbours among 2272 people with chronic illness in 2015. Data on neighbourhood social capital were collected among 69,336 people in 3425 neighbourhoods between May 2011 and September 2012. Neighbourhood social capital was estimated with ecometric measurements. We conducted multilevel regression analyses. People with chronic illness were more likely to receive practical and emotional support from neighbours if they had more individual connections to people in their neighbourhood. People with chronic illness were not more likely to receive practical and emotional support from neighbours if they lived in a neighbourhood with more social capital. People with chronic illness with moderate physical disabilities or with comorbidity, and people with chronic illness who lived together with their partner or children, were more likely to receive support from neighbours. To gain more insight into the benefits of neighbourhood social capital, it is necessary to differentiate between the resources only accessible through individual connections to people in the neighbourhood and resources provided through social capital on the neighbourhood level

Dealing with Time Estimates in Hospital Cost Accounting: Integrating Fuzzy Logic into Time-Driven Activity-Based Costing

BACKGROUND: Time-driven activity-based costing (TDABC) can support value-based healthcare (VBHC) programs by providing insights into the actual relationships between time spent by the medical staff and the costs associated with specific care cycles. However, the robustness of time estimates (time variation) as well as the effort required to obtain these estimates are major challenges of the TDABC methodology, given the heterogeneity in patients' needs and the presence of (multi)morbidity. To allow for the variation in time estimates in an efficient manner, this study uses fuzzy logic (FL) to estimate the TDABC model parameters (FL-TDABC). METHODS: A standardized care path was used to calculate the annual costs (per patient) and cost drivers of the Rheumatoid arthritis (RA) care cycle following the FL-TDABC methodology. Cost information (2018) was derived from hospital reports concerning financial, human resource and business intelligence data from a Dutch top clinical research hospital, Maasstad Hospital. Time estimates of procedures were obtained by interviewing the medical staff and relevant care activities were extracted from electronic health records. For analytical and validation purposes, FL-TDABC estimates were compared with TDABC and ABC cost estimates. RESULTS: The RA care cycle annual costs totaled €1497 per patient (2018 prices) based on the FL-TDABC methodology. Maximum RA cycle costs (€1684) were some 22% higher than minimum costs (€1317) observed from FL-TDABC. Cost drivers explaining the cost variation are predominantly the number of consultations with rheumatologists and pharmacy costs related to RA. Based on TDABC and ABC, annual costs per patient were €1609 and €1604, respectively. CONCLUSIONS: The FL-TDABC methodology offers a more precise and efficient estimate of care cycle costs, allowing for the subjective (fuzzy) nature of healthcare time estimates made by the medical staff. As a result, the FL-TDABC provides insight into the practice variation, and hence it can promote the transition from a volume-based system to a VBHC system

Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study

Background : Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model specifically for COVID-19 patients. Methods : We retrospectively collected electronic medical record data to extract predictors and used these to fit a random forest model. To simulate the situation in which the model would have been developed after the first and implemented during the second COVID-19 `wave' in the Netherlands, we performed a temporal validation by splitting all included patients into groups admitted before and after August 1, 2020. Furthermore, we propose a method for dynamic model updating to retain model performance over time. We evaluated model discrimination and calibration, performed a decision curve analysis, and quantified the importance of predictors using SHapley Additive exPlanations values. Results : We included 3514 COVID-19 patient admissions from six Dutch hospitals between February 2020 and May 2021, and included a total of 18 predictors for model fitting. The model showed a higher discriminative performance in terms of partial area under the receiver operating characteristic curve (0.82 [0.80-0.84]) compared to the National early warning score (0.72 [0.69-0.74]) and the Modified early warning score (0.67 [0.65-0.69]), a greater net benefit over a range of clinically relevant model thresholds, and relatively good calibration (intercept = 0.03 [- 0.09 to 0.14], slope = 0.79 [0.73-0.86]). Conclusions : This study shows the potential benefit of moving from early warning models for the general inpatient population to models for specific patient groups. Further (independent) validation of the model is needed