Food insecurity and diet quality in households accessing food membership clubs in Wessex: a mixed-methods study.

BACKGROUND: Food membership clubs that charge a small fee for a set number of items are in place in Wessex to address food insecurity (inadequate reliable access to sufficient affordable, nutritious food). These clubs incorporate longer-term solutions such as budgeting support, benefit maximisation, and cooking skills. The Wessex DIET project was established to measure acceptability and impact of these clubs. Given the paucity of evidence on the prevalence of food insecurity in those accessing such clubs, we aimed to quantify food insecurity and assess diet quality and wellbeing at recruitment. METHODS: In this mixed-methods study, we recruited individuals accessing food clubs in Wessex from March 31 to July 31, 2022. Participants provided informed consent and completed a survey (paper or online) at recruitment that collected data on diet and health. We used the modified six-item US Department of Agriculture (USDA) food security survey module. Follow-up surveys were administered after use of clubs (planned for 3, 6, and 12 months). Participants were invited to participate in a semi-structured interview. We used data from the baseline survey to quantify food insecurity and assess diet quality and wellbeing at point of first access to food clubs. FINDINGS: Of 97 participants recruited, five (5%) were aged 18-24 years, 15 (15%) 25-34 years, 48 (49%) 35-54 years, 13 (13%) 55-64 years, and nine (9%) 65 years and older (seven [7%] did not report their age). 69 (71%) participants were female and 23 (24%) were male (five [5%] did not respond to this question), 79 (81%) were White, and 65 (67%) reported having at least one dependent child. 55 (57%) reported skipping or cutting size of meals because there was not enough money for food. Food security status was calculated in 74 participants who answered all six questions of the USDA module, with 30 (41%) reporting low food security and 32 (43%) reporting very low food security. 31 (32%) of 97 participants reported rarely or never eating fruit, with 23 (24%) eating fruit at least once a day. The most common reported frequency of vegetable consumption was 2-3 times a week (26, 27%) and 4-6 times a week (23, 24%). 12 participants agreed to an interview. The clubs were well received, with participants noticing an improvement in their diet and finances. INTERPRETATION: This study highlights the high prevalence of food insecurity in those accessing food clubs in Wessex, which is expected in a population using food aid, and positive reflections from participants regarding their diet quality after using this service. Findings might not be generalisable nationally. Follow-up will assess impact of the clubs on food insecurity, diet quality and wellbeing, contributing to the evidence base of the effectiveness of food clubs to address these outcomes. FUNDING: National Institute for Health and Care Research (NIHR) Applied Research Collaboration Wessex.

The impact of food aid interventions on food insecurity, diet quality and mental health in households with children in high-income countries: a systematic review.

OBJECTIVE: Households with children accessing food aid in high-income countries are often food insecure. We aimed to review the evidence on food aid interventions in households with children and impact on food insecurity, diet quality and mental health. DESIGN: A systematic search was conducted using Web of Science, MEDLINE, CINAHL and PsycINFO. Articles published from January 2008 to July 2022 including cross-sectional, cohort and interventional studies in high-income countries were eligible. SETTING: Food aid is defined as the use of interventions providing free food items by community and/or charitable organisations. PARTICIPANTS: Two-parent, lone parent or households with a primary caregiver with at least one child ≤ 18 years. RESULTS: From a total of 10 394 articles, nine were included. Food banks, mobile pantry combined with a free meal for children, backpack provision during school term and food parcel home delivery interventions were evaluated. Food bank models offering additional support such as community programmes, health and social services, cooking classes and free meals for children, client-choice-based models and programmes providing convenient access were associated with improved food security and diet quality (increased intake of wholegrains, fruit and vegetables). One study reported an improvement in mental health and food bank access at the end of 18 months but not at earlier timepoints and one study reported no change in parents' mental health. CONCLUSIONS: Accessing food aid was linked to improved diet quality and reduced food insecurity in some studies. Allowing clients to choose food items and providing support services were most effective.

Starting conversations about mental health and wellbeing in Australian culturally and linguistically diverse communities.

Australia is a multicultural nation with nearly 30% of the population born overseas. Migrants' mental health can be impacted by discrimination, racism and experiences relating to asylum and immigration. These can be compounded by low help-seeking caused by stigmatized beliefs and poor mental health literacy. My Mind, My Voice (MMMV) is a co-designed program aiming to promote awareness of mental health and wellbeing for people with a culturally and linguistically diverse (CALD) background. This research project explored the perceived impacts and value of MMMV and processes leading to those impacts. A mixture of internal quantitative and qualitative evaluation surveys (n = 32) and researcher-conducted semi-structured interviews (n = 9) were conducted with CALD organization and community members who attended training workshops, presented MMMV events or attended an event. Data were analysed using a reflexive thematic analysis approach. Five themes were developed: culturally relevant and respectful, cross-cultural connections, the importance of language, increasing confidence and literacy and the potential to change attitudes. Being involved with a co-produced program that was culturally relevant and respectful was a positive experience that enhanced people's confidence and literacy. Feeling respected, valued and validated helped participants feel empowered to develop and deliver mental health and wellbeing education in their community. Open, honest conversations are an important way to break down stigma and start conversations about mental health and wellbeing in CALD communities. Evaluation outcomes demonstrate the success of MMMV's collaborative approach, which can inform the development and evaluation of CALD mental health promotion interventions.

Mixed methods feasibility and usability testing of a childhood obesity risk estimation tool.

BACKGROUND: A Childhood Obesity Risk Estimation tool (SLOPE CORE) has been developed based on prediction models using routinely available maternity and early childhood data to estimate risk of childhood obesity at 4-5 years. This study aims to test the feasibility, acceptability and usability of SLOPE CORE within an enhanced health visiting (EHV) service in the UK, as one context in which this tool could be utilised. METHODS: A mixed methods approach was used to assess feasibility of implementing SLOPE CORE. Health Visitors (HVs) were trained to use the tool, and in the processes for recruiting parents into the study. HVs were recruited using purposive sampling and parents by convenience sampling. HVs and parents were invited to take part in interviews or focus groups to explore their experiences of the tool. HVs were asked to complete a system usability scale (SUS) questionnaire. RESULTS: Five HVs and seven parents took part in the study. HVs found SLOPE CORE easy to use with a mean SUS of 84.4, (n = 4, range 70-97.5) indicating excellent usability. Five HVs and three parents took part in qualitative work. The tool was acceptable and useful for both parents and HVs. Parents expressed a desire to know their child's risk of future obesity, provided this was accompanied by additional information, or support to modify risk. HVs appreciated the health promotion opportunity that the tool presented and felt that it facilitated difficult conversations around weight, by providing 'clinical evidence' for risk, and placing the focus of the conversation onto the tool result, rather than their professional judgement. The main potential barriers to use of the tool included the need for internet access, and concerns around time needed to have a sensitive discussion around a conceptually difficult topic (risk). CONCLUSIONS: SLOPE CORE could potentially be useful in clinical practice. It may support targeting limited resources towards families most at risk of childhood obesity. Further research is needed to explore how the tool might be efficiently incorporated into practice, and to evaluate the impact of the tool, and any subsequent interventions, on preventing childhood obesity.

The interplay between social and food environments on UK adolescents' food choices: implications for policy.

Factors from social and food environments can influence the food choices of adolescents in ways not experienced during childhood. Evidence suggests these two environments influence adolescents' food choices independently, but there is limited knowledge of how the interplay between these environments influence adolescents' diets. An enhanced understanding of this interplay surrounding adolescent food choice could aid the development of more nuanced interventions and policies. This qualitative study involved 13 online focus groups with adolescents (n = 45) aged 11-18 years, attending secondary school or college in England, UK. Data were analysed using thematic analysis. Social experiences which accompanied eating were perceived as more important than the food itself, and fast-food outlets were described as uniquely suited to facilitating these interactions. Young people wanted to spend their money on foods they considered worthwhile, but this did not always relate to the most affordable foods. Adolescents wanted to put little effort into making food decisions and appreciated factors that helped them make quick decisions such as prominent placement and eye-catching promotions on foods they wanted to buy. Chain food outlets were valued as they offered familiar and frequently advertised foods, which minimized the effort needed for food decisions. Adolescents' sense of autonomy underpinned all themes. Participants described having limited opportunities to make their own food choices and they did not want to waste these buying unappealing 'healthy' foods. Interventions and government policies should align with adolescents' experiences and values relating to food choice to ensure that they are effective with this important age group.

Are environmental area characteristics at birth associated with overweight and obesity in school-aged children? Findings from the SLOPE (Studying Lifecourse Obesity PrEdictors) population-based cohort in the south of England.

BACKGROUND: Geographical inequalities in overweight and obesity prevalence among children are well established in cross-sectional research. We aimed to examine how environmental area characteristics at birth are related to these outcomes in childhood. METHODS: Anonymised antenatal and birth data recorded by University Hospital Southampton linked to school-measured weight and height data for children within Southampton, UK, were utilised (14,084 children at ages 4-5 and 5637 at ages 10-11). Children's home address at birth was analysed at the Lower and Middle layer Super Output Area (LSOA/MSOA) levels (areas with average populations of 1500 and 7000, respectively). Area-level indices (walkability, relative density of unhealthy food outlets, spaces for social interaction), natural greenspace coverage, supermarket density and measures of air pollution (PM2.5, PM10 and NOx) were constructed using ArcGIS Network Analyst. Overweight/obesity was defined as a body mass index (BMI; kg/m2) greater than the 85th centile for sex and age. Population-average generalised estimating equations estimated the risk of being overweight/obese for children at both time points. Confounders included maternal BMI and smoking in early pregnancy, education, ethnicity and parity. We also examined associations for a subgroup of children who moved residence between birth and outcome measurement. RESULTS: There were mixed results between area characteristics at birth and overweight/obesity at later ages. MSOA relative density of unhealthy food outlets and PM10 were positively associated with overweight/obesity, but not among children who moved. LSOA greenspace coverage was negatively associated with the risk of being overweight/obese at ages 10-11 in all children (relative risk ratio 0.997, 95% confidence interval 0.995-0.999, p = 0.02) and among children who moved. CONCLUSIONS: Local access to natural greenspaces at the time of birth was inversely associated with becoming overweight or obese by age 10-11, regardless of migration. Increased access/protection of greenspace may have a role in the early prevention of childhood obesity.

Predicting the risk of childhood overweight and obesity at 4-5 years using population-level pregnancy and early-life healthcare data.

BACKGROUND: Nearly a third of children in the UK are overweight, with the prevalence in the most deprived areas more than twice that in the least deprived. The aim was to develop a risk identification model for childhood overweight/obesity applied during pregnancy and early life using routinely collected population-level healthcare data. METHODS: A population-based anonymised linked cohort of maternal antenatal records (January 2003 to September 2013) and birth/early-life data for their children with linked body mass index (BMI) measurements at 4-5 years (n = 29,060 children) in Hampshire, UK was used. Childhood age- and sex-adjusted BMI at 4-5 years, measured between September 2007 and November 2018, using a clinical cut-off of ≥ 91st centile for overweight/obesity. Logistic regression models together with multivariable fractional polynomials were used to select model predictors and to identify transformations of continuous predictors that best predict the outcome. RESULTS: Fifteen percent of children had a BMI ≥ 91st centile. Models were developed in stages, incorporating data collected at first antenatal booking appointment, later pregnancy/birth, and early-life predictors (1 and 2 years). The area under the curve (AUC) was lowest (0.64) for the model only incorporating maternal predictors from early pregnancy and highest for the model incorporating all factors up to weight at 2 years for predicting outcome at 4-5 years (0.83). The models were well calibrated. The prediction models identify 21% (at booking) to 24% (at ~ 2 years) of children as being at high risk of overweight or obese by the age of 4-5 years (as defined by a ≥ 20% risk score). Early pregnancy predictors included maternal BMI, smoking status, maternal age, and ethnicity. Early-life predictors included birthweight, baby's sex, and weight at 1 or 2 years of age. CONCLUSIONS: Although predictive ability was lower for the early pregnancy models, maternal predictors remained consistent across the models; thus, high-risk groups could be identified at an early stage with more precise estimation as the child grows. A tool based on these models can be used to quantify clustering of risk for childhood obesity as early as the first trimester of pregnancy, and can strengthen the long-term preventive element of antenatal and early years care.

Predictors of children's health system use: cross-sectional study of linked data.

BACKGROUND: Use of health services is increasing in many countries. Most health service research exploring determinants of use has focused on adults and on secondary care. Less is known about factors associated with the use of the emergency department (ED) and general practice (GP) among young children. OBJECTIVE: To explore factors associated with GP consultations and ED attendances among children under 5 in a single UK city. METHODS: Cross-sectional exploratory study using anonymized individual-level health service use data for children aged 0-4 from 21 GPs in Southampton, UK, linked to ED data, over a 1-year period. Univariate and multivariable logistic regression were used to explore the association of socio-demographic factors [using the 2015 Index of Multiple Deprivation (IMD) to define socio-economic status] with high service use (defined as more than eight GP consultations and/or two ED attendances respectively). RESULTS: Among 11 062 children, there were 76 092 GP consultations and 6107 ED attendances. Three thousand two hundred thirty-three (29%) children were high users of GP and 564 (5%) of ED services. Greater socio-economic deprivation was independently associated with high use of GP and ED services separately [odds ratios (OR) for most versus least deprived IMD quintile 1.45 (95% confidence interval, CI 1.20-1.75) and 2.21 (95% CI 1.41-3.46), respectively], and together [OR 2.62 (95% CI 1.48-4.65)]. CONCLUSION: Young children are frequent users of health services, particularly GP. Socio-economic deprivation is an important factor. Parents, carers and health services may benefit from interventions that support families in their management of children's health.

Food banking and emergency food aid: expanding the definition of local food environments and systems.

If current trends in food insecurity continue then the diets of low-income people may become characterised by the inclusion of significant amounts of donated and surplus food accessed via the third-sector. These developments have yet to be integrated into macro models and concepts of the food environment. Addressing this caveat is necessary in order to both help build an evidence base to challenge policies that exacerbate the drivers of food insecurity and to inform interventions aimed at improving the diets of disadvantaged populations.

Identifying populations and areas at greatest risk of household food insecurity in England.

Despite the increasing recognition of household food insecurity as a policy issue, there is currently no routine measurement of food insecurity in the UK. There is nothing to suggest that Government will address this in the near future for all parts of the UK. In which case, policy makers and campaigners might instead seek out consistent and robust measures of the population-level factors which are known to contribute to food insecurity. However, no systematic measures exist, meaning that resources may not be targeted at those areas most in need. This paper presents the first objective estimate of high population-level risk of household food insecurity in English neighbourhoods (4.09% of the population, 95%CI 4.08-4.10) using public data. Estimated geographic distribution of factors contributing to household food insecurity is customisable to local pressures and is adaptable to settings outside of England.

The COVID-19 pandemic and food insecurity in households with children: A systematic review.

BACKGROUND: Food insecurity is defined as not having safe and regular access to nutritious food to meet basic needs. This review aimed to systematically examine the evidence analysing the impacts of the COVID-19 pandemic on food insecurity and diet quality in households with children <18 years in high-income countries. METHODS: EMBASE, Cochrane Library, International Bibliography of Social Science, and Web of Science; and relevant sites for grey literature were searched on 01/09/2023. Observational studies published from 01/01/2020 until 31/08/2023 in English were included. Systematic reviews and conference abstracts were excluded. Studies with population from countries in the Organisation for Economic Co-Operation and Development were included. Studies were excluded if their population did not include households with children under 18 years. The National Heart, Lung, and Blood institute (NIH) tool for observational cohort and cross-sectional studies was used for quality assessment. The results are presented as a narrative review. RESULTS: 5,626 records were identified and 19 studies were included. Thirteen were cross-sectional, and six cohorts. Twelve studies were based in the USA, three in Canada, one each in Italy and Australia and two in the UK. Twelve studies reported that the COVID-19 pandemic worsened food insecurity in households with children. One study reported that very low food security had improved likely due to increase in benefits as part of responsive actions to the pandemic by the government. CONCLUSION: Although studies measured food insecurity using different tools, most showed that the pandemic worsened food security in households with children. Lack of diversity in recruited population groups and oversampling of high-risk groups leads to a non-representative sample limiting the generalisability. Food insecure families should be supported, and interventions targeting food insecurity should be developed to improve long-term health.

Does the local food environment around schools affect diet? Longitudinal associations in adolescents attending secondary schools in East London.

BACKGROUND: The local retail food environment around schools may act as a potential risk factor for adolescent diet. However, international research utilising cross-sectional designs to investigate associations between retail food outlet proximity to schools and diet provides equivocal support for an effect. In this study we employ longitudinal perspectives in order to answer the following two questions. First, how has the local retail food environment around secondary schools changed over time and second, is this change associated with change in diet of students at these schools? METHODS: The locations of retail food outlets and schools in 2001 and 2005 were geo-coded in three London boroughs. Network analysis in a Geographic Information System (GIS) ascertained the number, minimum and median distances to food outlets within 400 m and 800 m of the school location. Outcome measures were 'healthy' and 'unhealthy' diet scores derived from adolescent self-reported data in the Research with East London Adolescents: Community Health Survey (RELACHS). Adjusted associations between distance from school to food retail outlets, counts of outlets near schools and diet scores were assessed using longitudinal (2001-2005 n=757) approaches. RESULTS: Between 2001 and 2005 the number of takeaways and grocers/convenience stores within 400 m of schools increased, with many more grocers reported within 800 m of schools in 2005 (p< 0.001). Longitudinal analyses showed a decrease of the mean healthy (-1.12, se 0.12) and unhealthy (-0.48, se 0.16) diet scores. There were significant positive relationships between the distances travelled to grocers and healthy diet scores though effects were very small (0.003, 95%CI 0.001 - 0.006). Significant negative relationships between proximity to takeaways and unhealthy diet scores also resulted in small parameter estimates. CONCLUSIONS: The results provide some evidence that the local food environment around secondary schools may influence adolescent diet, though effects were small. Further research on adolescents' food purchasing habits with larger samples in varied geographic regions is required to identify robust relationships between proximity and diet, as small numbers, because of confounding, may dilute effect food environment effects. Data on individual foods purchased in all shop formats may clarify the frequent, overly simple classification of grocers as 'healthy'.

Influences of the community and consumer nutrition environment on the food purchases and dietary behaviors of adolescents: A systematic review.

Adolescence is a period of increased autonomy over decision-making, including food choices, and increased exposure to influences outside the home, including the food environment. This review aims to synthesize the evidence for the influence of community nutrition environments, spatial access to food outlets, and consumer nutrition environments, environments inside food outlets, on adolescent food purchasing and dietary behaviors in high-income countries. Six databases were searched for articles published before January 2023. Results were synthesized using a vote-counting technique and effect direction plots that record the direction of the effect in relation to the anticipated relationship with health. Thirty-four observational and two intervention studies met the inclusion criteria. In the 13 studies assessing adolescent exposure to healthy community nutrition environments, results did not show clear associations with dietary and purchasing outcomes. Thirty studies assessed adolescents' exposure to unhealthy community nutrition environments with the majority (n = 17/30, 57%) reporting results showing that greater exposure to food outlets classified as unhealthy was associated with less healthy food purchases and dietary intakes. Inconsistent results were observed across the seven studies investigating associations with the consumer environment. Further research in these areas, including more high-quality intervention studies, may help to develop policy strategies to improve adolescents' dietary behaviors.

Generating small-area prevalence of psychological distress and alcohol consumption: validation of a spatial microsimulation method.

PURPOSE: Public mental health surveillance data are rarely available at a fine geographic scale. This study applies a spatial microsimulation procedure to generate small-area (lower super outputs areas [LSOA]) estimates of psychological distress and alcohol consumption. The validity of LSOA estimates and their associations with proximal and broader socioeconomic conditions are examined. METHODS: A deterministic reweighting methodology assigns prevalence estimates for psychological distress and heavy alcohol consumption through a process of matching individuals from a large, population-representative dataset (Health Survey for England) to known LSOA populations (from the 2001 population Census). 'goodness-of-fit' of LSOA estimates is assessed by their comparison to observed prevalence of these health indicators at higher levels of aggregation (local authority districts [LAD]). Population prevalence estimates are correlated to the mental health needs index (MINI) and other health indicators; ordered logistic regression is applied to investigate their associations with proximal and broader socioeconomic conditions. RESULTS: Performance of microsimulation models is high with no more than 10% errors in at least 90% of LAD for psychological distress and moderate and heavy alcohol consumption. The MINI is strongly correlated with psychological distress (r = 0.910; p value < 0.001) and moderately with heavy drinking (r = 0.389; p value < 0.001). Psychological distress and heavy alcohol consumption are differently associated with socioeconomic and rurality indicators at the LSOA level. Associations further vary at the LAD level and regional variations are apparent. CONCLUSION: Spatial microsimulation may be an appropriate methodological approach for replicating social and demographic health patterns at the local level.

Patients' ratings of family physician practices on the internet: usage and associations with conventional measures of quality in the English National Health Service.

BACKGROUND: Patients are increasingly rating their family physicians on the Internet in the same way as they might rate a hotel on TripAdvisor or a seller on eBay, despite physicians' concerns about this process. OBJECTIVE: This study aims to examine the usage of NHS Choices, a government website that encourages patients to rate the quality of family practices in England, and associations between web-based patient ratings and conventional measures of patient experience and clinical quality in primary care. METHODS: We obtained all (16,952) ratings of family practices posted on NHS Choices between October 2009 and December 2010. We examined associations between patient ratings and family practice and population characteristics. Associations between ratings and survey measures of patient experience and clinical outcomes were examined. RESULTS: 61% of the 8089 family practices in England were rated, and 69% of ratings would recommend their family practice. Practices serving younger, less deprived, and more densely populated areas were more likely to be rated. There were moderate associations with survey measures of patient experience (Spearman ρ 0.37-0.48, P<.001 for all 5 variables), but only weak associations with measures of clinical process and outcome (Spearman ρ less than ± 0.18, P<.001 for 6 of 7 variables). CONCLUSION: The frequency of patients rating their family physicians on the Internet is variable in England, but the ratings are generally positive and are moderately associated with other measures of patient experience and weakly associated with clinical quality. Although potentially flawed, patient ratings on the Internet may provide an opportunity for organizational learning and, as it becomes more common, another lens to look at the quality of primary care.

Parent health and wellbeing at home before and during COVID-19.

Environments of parenthood are changing with increasing rates of dual-working households, more single-parent and non-traditional families, increasing cost of childcare, and growing reliance on online communities for information and support. However, everyday parenthood activities are still primarily conducted at "home". In this paper, we draw on a study which initially aimed to explore parent health and wellbeing in everyday contexts before COVID-19, but the pandemic shaped the enquiry further. Our empirical research is based on an online survey with a sample of UK parents (n = 274). Findings presented here relate to qualitative data focused on descriptions of parenthood at home, analysed thematically. Our study reveals how everyday activities of parenthood, including intersections with work and socialisation, are experienced in and through the home in ways that impact health and wellbeing. Significantly, it connects home-life changes created during COVID-19 "lockdowns" with longer-term considerations of parent needs.

Household food insecurity risk indices for English neighbourhoods: Measures to support local policy decisions.

BACKGROUND: In England, the responsibility to address food insecurity lies with local government, yet the prevalence of this social inequality is unknown in small subnational areas. In 2018 an index of small-area household food insecurity risk was developed and utilised by public and third sector organisations to target interventions; this measure needed updating to better support decisions in different settings, such as urban and rural areas where pressures on food security differ. METHODS: We held interviews with stakeholders (n = 14) and completed a scoping review to identify appropriate variables to create an updated risk measure. We then sourced a range of open access secondary data to develop an indices of food insecurity risk in English neighbourhoods. Following a process of data transformation and normalisation, we tested combinations of variables and identified the most appropriate data to reflect household food insecurity risk in urban and rural areas. RESULTS: Eight variables, reflecting both household circumstances and local service availability, were separated into two domains with equal weighting for a new index, the Complex Index, and a subset of these to make up the Simple Index. Within the Complex Index, the Compositional Domain includes population characteristics while the Structural Domain reflects small area access to resources such as grocery stores. The Compositional Domain correlated well with free school meal eligibility (rs = 0.705) and prevalence of childhood obesity (rs = 0.641). This domain was the preferred measure for use in most areas when shared with stakeholders, and when assessed alongside other configurations of the variables. Areas of highest risk were most often located in the North of England. CONCLUSION: We recommend the use of the Compositional Domain for all areas, with inclusion of the Structural Domain in rural areas where locational disadvantage makes it more difficult to access resources. These measures can aid local policy makers and planners when allocating resources and interventions to support households who may experience food insecurity.

Change in treatment burden among people with multimorbidity: a follow-up survey.

BACKGROUND: Treatment burden is the effort required of patients to look after their health and the impact this has on their functioning and wellbeing. Little is known about change in treatment burden over time for people with multimorbidity. AIM: To quantify change in treatment burden, determine factors associated with this change, and evaluate a revised single-item measure for high treatment burden in older adults with multimorbidity. DESIGN AND SETTING: A 2.5-year follow-up of a cross-sectional postal survey via six general practices in Dorset, England. METHOD: GP practices identified participants of the baseline survey. Data on treatment burden (measured using the Multimorbidity Treatment Burden Questionnaire; MTBQ), sociodemographics, clinical variables, health literacy, and financial resource were collected. Change in treatment burden was described, and associations assessed using regression models. Diagnostic test performance metrics evaluated the revised single-item measure relative to the MTBQ. RESULTS: In total, 300 participants were recruited (77.3% response rate). Overall, there was a mean increase of 2.6 (standard deviation 11.2) points in treatment burden global score. Ninety-eight (32.7%) and 53 (17.7%) participants experienced an increase and decrease, respectively, in treatment burden category. An increase in treatment burden was associated with having >5 long-term conditions (adjusted ß 8.26, 95% confidence interval [CI] = 4.20 to 12.32) and living >10 minutes (versus ≤10 minutes) from the GP (adjusted ß 3.88, 95% CI = 1.32 to 6.43), particularly for participants with limited health literacy (mean difference: adjusted ß 9.59, 95% CI = 2.17 to 17.00). The single-item measure performed moderately (sensitivity 55.7%; specificity 92.4%. CONCLUSION: Treatment burden changes over time. Improving access to primary care, particularly for those living further away from services, and enhancing health literacy may mitigate increases in burden.

Adult diet in England: Where is more support needed to achieve dietary recommendations?

BACKGROUND: Small-area estimation models are regularly commissioned by public health bodies to identify areas of greater inequality and target areas for intervention in a range of behaviours and outcomes. Such local modelling has not been completed for diet consumption in England despite diet being an important predictor of health status. The study sets out whether aspects of adult diet can be modelled from previously collected data to define and evaluate area-level interventions to address obesity and ill-health. METHODS: Adults aged 16 years and over living in England. Consumption of fruit, vegetables, and sugar-sweetened beverages (SSB) are modelled using small-area estimation methods in English neighbourhoods (Middle Super Output Areas [MSOA]) to identify areas where reported portions are significantly different from recommended levels of consumption. The selected aspects of diet are modelled from respondents in the National Diet and Nutrition Survey using pooled data from 2008-2016. RESULTS: Estimates indicate that the average prevalence of adults consuming less than one portion of fruit, vegetables or 100% juice each day by MSOA is 6.9% (range of 4.3 to 14.7%, SE 0.06) and the average prevalence of drinking more than 330ml/day of SSB is 11.5% (range of 5.7 to 30.5%, SE 0.03). Credible intervals around the estimates are wider for SSB consumption. The results identify areas including regions in London, urban areas in the North of England and the South coast which may be prioritised for targeted interventions to support reduced consumption of SSB and/or an increase in portions of fruit and vegetables. CONCLUSION: These estimates provide valuable information at a finer spatial scale than is presently feasible, allowing for within-country and locality prioritisation of resources to improve diet. Local, targeted interventions to improve fruit and vegetable consumption such as subsidies or voucher schemes should be considered where consumption of these foods is predicted to be low.

Change in treatment burden among people with multimorbidity: Protocol of a follow up survey and development of efficient measurement tools for primary care.

BACKGROUND: Treatment burden is the effort required of patients to look after their health and the impact this has on their functioning and wellbeing. It is likely treatment burden changes over time as circumstances change for patients and health services. However, there are a lack of population-level studies of treatment burden change and factors associated with this change over time. Furthermore, there are currently no practical screening tools for treatment burden in time-pressured clinical settings or at population level. METHODS AND ANALYSIS: This is a three-year follow-up of a cross-sectional survey of 723 people with multimorbidity (defined as three or more long-term conditions; LTCs) registered at GP practices in in Dorset, England. The survey will repeat collection of information on treatment burden (using the 10-item Multimorbidity Treatment Burden Questionnaire (MTBQ) and a novel single-item screening tool), sociodemographics, medications, LTCs, health literacy and financial resource, as at baseline. Descriptive statistics will be used to compare change in treatment burden since the baseline survey in 2019 and associations of treatment burden change will be assessed using regression methods. Diagnostic test accuracy metrics will be used to evaluate the single-item treatment burden screening tool using the MTBQ as the gold-standard. Routine primary care data (including demographics, medications, LTCs, and healthcare usage data) will be extracted from medical records for consenting participants. A forward-stepwise, likelihood-ratio logistic regression model building approach will be employed in order to assess the utility of routine data metrics in quantifying treatment burden in comparison to self-reported treatment burden using the MTBQ. IMPACT: To the authors' knowledge, this will be the first study investigating longitudinal aspects of treatment burden. Findings will improve understanding of the extent to which treatment burden changes over time for people with multimorbidity and factors contributing to this change, as well as allowing better identification of people at risk of high treatment burden.