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The financial impact on people with coeliac disease of withdrawing gluten-free food from prescriptions in England: findings from a cross-sectional survey

BMC Health Services Research volume 24, Article number: 146 (2024) Cite this article

Abstract

Background

A lifelong gluten-free diet is the only treatment for coeliac disease. The cost and availability of gluten-free substitute food (GFSF) remain challenging. Some local areas in England have stopped gluten-free prescriptions for coeliac disease. The aim of this paper is to present the quantitative findings of the financial impact of prescription withdrawal on people with coeliac disease.

Methods

A cross-sectional survey with adults in England who reported having been diagnosed with coeliac disease by a health professional. The postal survey was distributed by Coeliac UK to their members in 13 prescribing and 13 non-prescribing local areas that were matched for geographical location and level of deprivation. Additionally, an advertisement for the survey was placed on social media. The questionnaire contained items on the availability and use of prescriptions; the weekly amount spent on GFSF; amount of specific GFSF bought; affordability of GFSF; demographics and health-related variables. Data were analysed by descriptive statistics, analysis of variance and regression analysis.

Results

Of the 1697 participants, 809 resided in areas that provided prescriptions and 888 in non-prescribing areas. Participants self-report of their prescription did not always match the local area prescription policy. There was no statistically significant difference between prescribing and non-prescribing areas in how easy or difficult participants found it to obtain GFSF (p = 0.644) and its availability in various locations. Participants in non-prescribing areas purchased most types of GFSF items in statistically significantly higher quantities and thereby spent an additional £11.32/month on GFSF items than participants in prescribing areas (p < 0.001). While taking into account the self-reported prescription status, the amount increased to £14.09/month (p < 0.001). Although affordability to buy GFSF did not differ based on local area prescription policy or self-reported prescription status, it was dependent on equivalised annual income. However, affordability did not influence spending on GFSF. Regression analysis indicated that males and households with additional members with coeliac disease spent more on GFSF.

Conclusions

The study has highlighted that gluten-free prescription withdrawal can have financial implications for people with coeliac disease. Any future changes to the prescription policy of GFSF should consider the impact on the population, especially lower income households.

Peer Review reports

Background

Coeliac disease is an autoimmune condition in which the immune response is caused by the ingestion of gluten, a major protein found in wheat, rye and barley [1]. Lifelong avoidance of these foods (i.e., a gluten-free diet) is currently the only treatment [1]. Better adherence to the diet leads to fewer symptoms [2] and improved quality of life [3,4,5,6], while non-adherence may lead to long-term complications such as osteoporosis and iron deficiency anaemia [7, 8]. However, following such a diet can be demanding and burdensome [9, 10]. Moreover, the cost, access and availability of gluten-free substitute food (GFSF) continues to be challenging [11,12,13,14,15]. Generally, costing considerably more than gluten-containing equivalent foods, GFSF bought online or in rural areas are even more expensive than those bought in supermarkets or urban areas [11, 14,15,16,17,18,19].

To cover the additional cost involved in following a gluten-free diet and to support people’s adherence to the diet, some countries, such as the United States, Canada and Italy [20], provide tax relief and government subsidisation. In England, GFSF was provided on prescription by the National Health Service (NHS), in accordance with National Prescription Guidelines, until 2015 [21]. Since 2015, due to the financial strain on the NHS, some local statutory bodies responsible for planning and commissioning services, called Clinical Commissioning Groups (CCGs), began to withdraw or restrict (lower quantity or fewer food types) prescriptions, creating variation in prescription policy throughout England [22, 23]. Although this change appeared to be cost-effective for the NHS [24], the restriction and withdrawal of prescriptions began to show negative impacts on dietary adherence [25]. There was also concern that regional differences may lead to inequality of access, given the variation in availability of GFSF [15].

The data presented in this paper are part of a mixed methods study to assess the impact of changes in prescription policy for GFSF for adults with coeliac disease living in England. The findings regarding the impact of prescription withdrawal on quality of life (quantitative and qualitative) and the impact on affordability and obtainability of GFSF (qualitative) have been published elsewhere [26, 27]. The aim of this paper is to present the quantitative findings of the financial impact of prescription withdrawal between people living in areas that stopped prescriptions and people living in areas that continued to provide prescriptions according to the National Prescription Guidelines [21]. Comparisons will be drawn for the following: (i) ease of access to GFSF, (ii) availability of GFSF, (iii) estimated spending on GFSF, (iv) self-reported spending on GFSF, (v) affordability to buy GFSF and (vi) equivalised income.

Methods

A sequential explanatory mixed methods study was conducted including a cross-sectional survey, which was followed by qualitative interviews. The quantitative findings, from the cross-sectional survey, relating to of the financial impact of prescription withdrawal is presented in this paper. The Central University Research Ethics Committee of the University of Oxford approved the study (Reference number R45890/RE001). Signed informed consent was obtained from all participants at the beginning of the survey. All methods carried out in the study were performed in line with the approved protocol and relevant guidelines/regulations. The detailed methods have been reported elsewhere [26]. A summary of the survey methods is given below.

Survey

Sample size calculations were undertaken using the sensitivity to change data for the Coeliac Disease Assessment Questionnaire (CDAQ), the questionnaire used to assess quality of life (see Peters et al. [26] for details). To achieve a sample of 800, a minimum of 2000 people had to be invited (40% estimated response rate). To allow for the inclusion of a wider geographical spread of local areas, a larger than necessary sample was recruited.

A total of 4050 members were invited into a postal survey by Coeliac UK, the leading charity for coeliac disease in the UK. Members were selected from 13 local areas (or CCGs) that prescribed GFSF according to the National Prescribing Guidance (n = 2131) and from 13 local areas that had stopped prescriptions (n = 1919). Matched for geographical location and level of deprivation, local areas were selected to achieve a spread of urban and rural communities across England. Coeliac UK selected members from their database in the relevant geographical regions. The aim was to invite 200 members per local area. However, membership varied by area (range 10–624 members), and therefore, in areas (n = 18) with fewer than 200 members, all members were invited. In the eight areas with more than 200 members, Coeliac UK randomly selected members for the study. As the survey was distributed to Coeliac UK members, the representativeness of the participants to the region (e.g., ethnicity, level of deprivation) could not be taken into consideration.

In addition to the postal survey, an online advertisement for the survey was placed on social media sites Twitter and Facebook. The advertisement included a link to an electronic version of the survey (e-survey) using Qualtrics software, Version April 2017 (Qualtrics, Provo, UT).

The inclusion criteria to participate in the survey were: (i) adults (18 years of age or above), (ii) live in England, and (iii) confirm receiving a diagnosis of coeliac disease by a medical professional. Participants not fulfilling all the above criteria were excluded from the survey. All respondents needed to sign a consent form, which was provided in paper form at the start of the postal survey or in electronic format before the e-survey could be taken.

Questionnaire

The questionnaire contained items on the use of health services; availability and use of prescriptions (including the costs of prescriptions and the financial impact of prescriptions being discontinued); the weekly amount spent on GFSF; amount of specific GFSF bought (bread, bread rolls, flour, bread/flour mixes, crackers/crispbreads, breakfast cereals, pasta, pizza bases, biscuits, cakes and oats); affordability of GFSF; demographics and health-related variables (see Peters et al. [26] for details).

The survey also comprised the EuroQol 5 Dimension 5 Level (EQ-5D-5L) [28] and the CDAQ [29] to assess quality of life and the Coeliac Disease Adherence Test (CDAT) to assess dietary adherence [30]. The CDAQ findings have been reported previously [26].

The EQ-5D-5L [28], a generic preference-based measure of health, includes a descriptive system of five questions on the domains of mobility, self-care, usual activities, pain, and depression/anxiety. Each question has five ordered responses that range from ‘1’ indicating no problems to ‘5’ indicating extreme problems. The instrument also includes a visual analogue scale (EQ-VAS) to measure overall health, ranging from 0 (the worst health imaginable) to 100 (the best health imaginable). Using the algorithm recommended by the National Institute for Health and Care Excellence [31, 32], EQ-5D utility scores were derived from the EQ-5D descriptive system.

The CDAT is a 7-item questionnaire that asks people with coeliac disease to self-report adherence to the gluten-free diet [30]. Each question has five response options that are summed to give a score between 7 and 35, with higher scores representing worse dietary adherence.

Analysis

Participants were matched with information on their local prescribing policy and Index of Multiple Deprivation (IMD) scores [33]. As some participants reported not having prescriptions despite living in a prescribing area (and a small number had prescriptions despite living in a non-prescribing area), a variable of ‘self-reported prescription status’ (with three categories: ‘had prescriptions’, ‘did not have prescriptions’ and ‘had restricted prescriptions’) was computed. A ‘had restricted prescriptions’ category was added as some people reported ‘restricted prescriptions’ (meaning they could have a smaller quantity or range of GFSF on prescription) despite living in a prescribing or non-prescribing area.

The amount spent by participants each month on GFSF was calculated in two ways. Firstly, this amount was estimated by calculating the costs for the GFSF items they reported buying each month. Of several peer-reviewed publications reporting costs for the common GFSF items in the UK, the most recent costs were available in the paper by Hanci and Jeanes [15]. The costs reported in this paper were used for bread, flour, bread/flour mixes, crackers/crispbread, breakfast cereal, pasta, cakes and biscuits. The costs for pizza bases and oats were based on Fry et al. [34] and Burden et al. [16], respectively, as these were not available from Hanci and Jeanes [15]. Secondly self-reported weekly GFSF spending was used to calculate the monthly GFSF spending. All costs were adjusted for 2021 inflation rates [35].

A categorical variable using seven bands (from ‘less than £10,000’ to ‘more than £70,000’) was included in the survey and was used to calculate the mean equivalised income. First, the midpoint for each band was used to derive household income at the participant level, with the highest band (> £70,000) closed at £100,000. Then, equivalised income was calculated using the method proposed by Graville and Sutton [36] (equivalised income = household income/ √(adults + 0.5 × children)). Equivalised income could not be calculated for 21.4% of cases due to missing data on gross family income (n = 91, 5.4% missing and n = 254, 15% indicating they did not wish to answer) or household size (n = 53, 3.1%).

Descriptive statistics [means (SD)], chi-squared tests or analysis of variance (ANOVA) were used to examine differences in demographic and health-related variables between prescribing and non-prescribing areas and between self-reported status of receiving and not receiving prescriptions. Multivariate linear regression analyses were conducted where relevant with the estimated spending on GFSF as the outcome variable; the local area prescribing policy and affordability to buy GFSF as main explanatory variables; and demographics and health-related variables as additional explanatory variables. Sensitivity analysis was also conducted using self-reported spending on GFSF as the outcome variable and replacing local area prescribing policy with respondent self-reported prescription status as the main explanatory variable. The level of significance was set at p < 0.05. Data were analysed in SPSS version 29.

Results

A total of 1653 responses (40.8%) were received for the postal survey, and 234 responses were received for the e-survey. Respondents (n = 151) were excluded if they were below the age limit; not living in England; did not confirm receiving a diagnosis of coeliac disease by a medical professional; or if the majority (or all) of the answers were missing. This gave a sample size of 1736 participants. Of these, 39 lived in areas that restricted prescriptions and were excluded from the data analysis, as there was no consistency in the amount and type of restrictions. Hence, the sample for analysis was 1697, with 809 participants residing in areas that provided prescriptions and 888 participants living in non-prescribing areas. The participants’ demographics and disease-related characteristics are presented in Table 1. In the non-prescribing areas, there was a significantly lower proportion of people in employment (p = 0.042) and a higher proportion of retired people (p = 0.018), a higher likelihood of living in a more deprived area (p < 0.001) and a lower equivalised household income (p = 0.001). The sample was predominantly White (99%). There was no difference between areas in the health status of participants as measured by the EQ-5D and in their adherence to a gluten-free diet as measured by the CDAT (Table 1).

Table 1 Demographics and health-related variables
Full size table

Use of prescriptions

Participants self-report of their prescription did not always match the prescription policy of the area they lived in. Of 736 participants living in prescribing areas, 247 (33.6%) reported not using prescriptions, and 178 (24.2%) reported receiving restricted prescriptions. A small percentage of participants residing in non-prescribing areas received full (n = 14, 1.7%) or restricted (n = 32, 3.8%) prescriptions. When the local area prescribing policy was compared with participants’ self-reported prescription status, participants were significantly more likely to self-report not having prescriptions in areas that had stopped prescriptions (p < 0.001) (Table 1).

Access and availability of gluten-free substitute foods

There was no statistically significant difference (p = 0.644) in how easy or difficult participants found it to obtain GFSF between prescribing and non-prescribing areas, but 8.4% of participants (n = 141) found it ‘fairly difficult’ or ‘very difficult’ to buy GFSF (Table 1). Similarly, there was no statistically significant difference between prescribing and non-prescribing areas for the availability of GFSF in various locations, such as supermarkets (p = 0.136), health food shops (p = 0.570), online specialist retailers (p = 0.210), local corner/convenience stores (p = 0.258), restaurants/pubs (p = 0.760), cafes (p = 0.596), and leisure events (p = 0.062), with the exception of gluten-free food events (p < 0.001). Overall, participants indicated that it was much easier to access GFSF in supermarkets and not so much in local corner/convenience stores, while more than 50% of participants had not tried accessing online specialist retailers and gluten-free food events. Of the 44% who had attended gluten-free food events, participants in non-prescribing areas indicated less availability of GFSF than participants in prescribing areas.

Amount of gluten-free substitute foods bought and estimated spending

Participants in non-prescribing areas purchased all types of GFSF items, apart from biscuits and cakes, in statistically significantly higher quantities and thereby spent an additional £11.32/month on GFSF items than participants in prescribing areas (p < 0.001) (Table 2). Similarly, participants who self-reported that they did not get prescriptions (irrespective of the prescription policy of their area) bought higher quantities of most GFSF items (excluding bread/flour mixes, biscuits and cakes) and thereby spent an additional £11.89 per month than participants self-reporting receiving prescriptions (both getting full or restricted prescriptions) (p < 0.001) (Table 3). This analysis was repeated after removing the participants whose self-reported prescription status did not match the prescription policy of the area (n = 247, 33.6% in prescribing areas; n = 46, 5.5% in non-prescribing areas). The difference in the amount spent on GFSF between prescribing and non-prescribing areas increased to £14.09/month (p < 0.001).

Table 2 Number of packs of GFSF bought in a typical month and its estimated cost (£) by prescription policy
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Table 3 Number of packs of GFSF bought in a typical month and its estimated cost (£) by self-reported prescription status (irrespective of the local area prescribing policy)
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Self-reported spending on gluten-free substitute foods

Self-reported spending was similar to the estimated spending, with participants in the non-prescribing areas self-reporting spending more on GFSF in a typical month than their counterparts in prescribing areas; however, this difference was lower (£5.92) and not statistically significant (p = 0.058) (Table 4). Interestingly, self-reported spending was nearly two times higher than the estimated spending in both the prescribing and non-prescribing areas (p < 0.001) (Table 4). The findings were similar when self-reported prescription status was taken into consideration, except that the difference in self-reported spending between participants receiving and not receiving prescriptions was higher at £14.79 and statistically significant (p < 0.001) (Table 4).

Table 4 Comparison of the estimated spending and self-reported spending (£) on GFSF in a typical month by the local area prescription policy and self-reported prescription status
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Affordability to buy gluten-free substitute foods

The participants’ views on the affordability of GFSF did not differ between participants based on the local area policy (p = 0.346) (Table 1) or by self-reported prescription status (p = 0.755), with more than 50% of participants indicating that they can comfortably afford to buy the GFSF they need. In both the prescribing and non-prescribing areas, participants who reported being comfortably able to buy GFSF had a statistically significant higher mean equivalised income than those who were only just able to afford GFSF and those who could not always afford it (p < 0.001) (Table 5). However, participants’ views on the affordability of GFSF did not influence their spending on GFSF across both prescribing and non-prescribing areas. For example, participants in non-prescribing areas who were only just able to afford to buy GFSF appeared to spend more on GFSF than participants who were able to comfortably buy GFSF (Table 5). The findings were similar for participants who self-reported not receiving prescriptions (Table 5).

Table 5 Affordability to buy GFSF compared with the amount spent on GFSF and the equivalised income based on local area prescription policy and self-reported prescription status
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Regression analysis

Since the estimated spending on GFSF differed significantly between participants based on local area prescription policy, this variable was examined further using regression analysis. The regression model was statistically significant (R2adj 0.11, p < 0.001) (n = 1074), with the estimated monthly spending on GFSF higher in participants living in non-prescribing areas (p < 0.001); in participants who were just able to afford to buy GFSF (p < 0.001); in males (p < 0.001); and where there were additional household members with coeliac disease (p < 0.001) (Table 6 and Supplementary file 1 (S Table 1)).

Table 6 Significant variables in regression analysis
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Sensitivity analyses were undertaken by replacing ‘local area prescription policy’ with ‘self-reported prescription status’ (Supplementary file 1 (S Tables 2 and 4)) as the main explanatory variable and ‘estimated spending on GFSF’ with ‘self-reported spending on GFSF’ (Supplementary file 1 (S Tables 3 and 4)) as the outcome, using the same sample of participants for comparability. The significance of the sensitivity analysis models (Supplementary file 1 (S Tables 2 to 4)) was similar to that of the main model specification (Supplementary file 1 (S Table 1)). As summarised in Table 6, all models were statistically significant, and there was little change in the significance of the explanatory variables across model specifications (Table 6 and Supplementary file 1 (S Tables 1 to 4)). In addition, the self-reported spending on GFSF was higher for participants who were not able to afford GFSF, lower as age increased, and in participants within the socioeconomic domain of supervisory or clerical and skilled manual work (Table 6 and Supplementary file 1 (S Tables 1 to 4)). When the main model specification (Supplementary file 1 (S Table 1)) was estimated after restricting the sample to only participants whose self-reported prescription status matched the local area prescription policy, the significance of the model improved marginally; however, the significant variables remained the same as in the original model [R2adj 0.16, p < 0.001 (n = 784)] (Tables 5 and 6).

Discussion

This study showed that although there was no difference in the ease of access and availability of GFSF between prescribing and non-prescribing areas, participants in non-prescribing areas were buying more GFSF out of pocket and thereby spending more on GFSF as opposed to those in prescribing areas, who are more likely to get some of their GFSF on prescription. Specifically, households with multiple members with coeliac disease and people who are just able/not able to afford GFSF appeared to be spending more on GFSF. In line with these findings, Vriesekoop et al. [37] observed that the availability of GFSF increased from 2015 to 2019, including GFSF stocking in budget supermarkets. However, the quality and pricing of GFSF continues to be a major issue not only in the UK but also across the world [14, 17, 37, 38]. A recent study conducted by Coeliac UK demonstrated that a gluten-free food shopping basket (based on minimum income standard and containing around 70 items each) could be 20 percent more expensive than a standard food shopping basket [38]. Another study estimated a mean increase of £861 per person with coeliac disease per year in food costs alone [39]. Therefore, the difference noted in GFSF spending in the current study (£10 to £15 per month) between prescribing and non-prescribing areas could be a significant, meaningful difference. It is likely that the estimated spending could be an underestimation, as it was not possible to calculate costs for food items reported under ‘other’ in the questionnaire (e.g., ready meals); therefore, the difference in spending could be even larger.

Regression analysis of the current study indicated that households with multiple members with coeliac disease were spending more on GFSF. Given the increase in the overall incidence of coeliac disease [40] and the increased risk of coeliac disease for first-degree family members of someone with coeliac disease (due to genetic links) [1], the possibility of having households with multiple members with coeliac disease is likely to increase and become more common. This may lead to a significant economic strain for a higher proportion of the population.

Regression analysis also indicated that people who are just able/not able to afford GFSF were spending more on GFSF. Moreover, affordability to buy GFSF was dependent on the equivalised income, with people on lower income not always able to afford to buy GFSF. According to the UK Government’s family food survey, households in the poorest decile spend only around £21.95 per week on food and non-alcoholic drinks [41]. For such families, the added cost of £10 to £15 per month for buying GFSF may be hugely significant and, in some cases, unaffordable too. Unsurprisingly, this subset of population, along with people who are less able to travel to large shops (e.g., people with disabilities), seemed to be the most impacted by prescription withdrawal in relation to quality of life as well [26]. The qualitative study on the affordability and obtainability of GFSF based on a sub-set of this sample identified these groups as the most impacted [27]. Poverty is more likely in certain groups of the population (e.g., single parents, those with disabilities, some ethnic minority groups) [42]. These factors combined with the current economic crisis and increased food inflation in the UK could be additionally damaging for this subset of the population [38].

Since the study was completed, two important and relevant policy changes have been made in England. Firstly, in 2018, the UK Government’s Department of Health and Social Care recommended limiting prescriptions for coeliac disease only to bread and flour mixes in England based on a public consultation in 2017 [43]. However, it was left to the local area government bodies to uptake/reject this recommendation, resulting in continued variation in the prescription policy across areas. Secondly, the local area government bodies (CCGs), which were the statutory bodies responsible for planning and commissioning services in England at the time of the study, have been replaced by Integrated Care Boards (ICB) since July 2022 [44]. While ICBs are required to have unified policies across the areas under their remit, it is not clear how prescription variations within the areas will be dealt with and how this will impact the population. The current study has demonstrated that prescription withdrawal has significant financial implications, and therefore, it is crucial that newly formed ICBs and wider policy makers take this into consideration when making any further changes to prescription provisions for people with coeliac disease.

Limitations

The limitations of the study need to be acknowledged. Although the response rate of 40.8% is in line with previous similar surveys [5, 29], it is not known if the spending of the non-responders would have been similar or different. Although several factors such as geographical location and level of deprivation were considered and random sampling was used in local areas with large membership, the final sample was predominantly White and the reasons for this could not be explored in the current study. This sample is not reflective of the increasing non-white population in the UK [45], and at least some of the ethnic minority groups are socially disadvantaged [42]. Given that dietary adherence appears to be different between Caucasians and South Asians [25] and that some minority ethnic groups are in the lowest income groups in the country [46], including ethnic minority groups in future studies is crucial. The cost of food items upon which estimates were based varied between published papers, with no consistency in the methods used to calculate costs (median, average, lowest price of an item). Therefore, there may be an under- or overestimation of the cost of individual food items, and therefore, the estimated spending on GFSF may be an under- or overestimation. In addition, the estimated spending may also be an underestimate, as it was not possible to calculate costs for items mentioned under ‘others’ (e.g., ready meals). Furthermore, the potential cost of prescriptions for participants was not taken into account in the analysis.

Implications

  • People with coeliac disease buy and spend more on GFSF in areas that did not provide prescriptions as per the national prescribing guidelines at the time.

  • People with coeliac disease with a lower annual equivalised income appear to not always be able to afford to buy GFSF.

  • Future prescription changes in coeliac disease should consider these financial implications.

Conclusions

In conclusion, this study shows that people living in non-prescribing areas spent (statistically) significantly more money on GFSF than people living in prescribing areas. Whilst for many people this may be affordable, this increase in spending may be difficult to afford for more vulnerable groups (e.g., those with lower incomes). Further research is needed on how more diverse and potentially vulnerable groups are affected and to what extent affordability of GFSF contributes to health inequalities. Given the recent formation of the integrated care system, any changes to prescription policy should consider the impact on the population, especially lower income households.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Abbreviations

GFSF:

Gluten-free substitute foods

NHS:

National Health Service

CCG:

Clinical Commissioning Group

CDAQ:

Coeliac Disease Assessment Questionnaire

CDAT:

Coeliac Disease Adherence Test

ICB:

Integrated Care Board

References

  1. Catassi C, Verdu EF, Bai JC, Lionetti E. Coeliac disease. Lancet. 2022;399(10344):2413–26.

    Article  PubMed  Google Scholar 

  2. Ciacci C, Ciclitira P, Hadjivassiliou M, Kaukinen K, Ludvigsson JF, McGough N, Sanders DS, Woodward J, Leonard JN, Swift GL. The gluten-free diet and its current application in coeliac disease and dermatitis herpetiformis. United European Gastroenterol J. 2015;3(2):121–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Al-sunaid FF, Al-homidi MM, Al-qahtani RM, Al-ashwal RA, Mudhish GA, Hanbazaza MA, Al-zaben AS. The influence of a gluten-free diet on health-related quality of life in individuals with celiac disease. BMC Gastroenterol. 2021;21(1):330.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Enaud R, Tetard C, Dupuis R, Laharie D, Lamireau T, Zerbib F, Rivière P, Shili-Mismoudi S, Poullenot F. Compliance with gluten free diet is associated with better quality of life in celiac disease. Nutrients. 2022;14(6):1210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Violato M, Gray A. The impact of diagnosis on health-related quality of life in people with coeliac disease: a UK population-based longitudinal perspective. BMC Gastroenterol. 2019;19(1):68.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Burger JPW, de Brouwer B, IntHout J, Wahab PJ, Tummers M, Drenth JPH. Systematic review with meta-analysis: dietary adherence influences normalization of health-related quality of life in coeliac disease. Clin Nutr. 2017;36(2):399–406.

    Article  PubMed  Google Scholar 

  7. Ludvigsson JF, Bai JC, Biagi F, Card TR, Ciacci C, Ciclitira PJ, Green PH, Hadjivassiliou M, Holdoway A, van Heel DA, et al. Diagnosis and management of adult coeliac disease: guidelines from the British Society of Gastroenterology. Gut. 2014;63(8):1210–28.

    Article  PubMed  Google Scholar 

  8. Muhammad H, Reeves S, Jeanes YM. Identifying and improving adherence to the gluten-free diet in people with coeliac disease. Proc Nutr Soc. 2019;78(3):418–25.

    Article  CAS  PubMed  Google Scholar 

  9. Makharia GK, Singh P, Catassi C, Sanders DS, Leffler D, Ali RAR, Bai JC. The global burden of coeliac disease: opportunities and challenges. Nat Rev Gastroenterol Hepatol. 2022;19(5):313–27.

    Article  CAS  PubMed  Google Scholar 

  10. Shah S, Akbari M, Vanga R, Kelly CP, Hansen J, Theethira T, Tariq S, Dennis M, Leffler DA. Patient perception of treatment burden is high in celiac disease compared with other common conditions. Am J Gastroenterol. 2014;109(9):1304–11.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Lee AR, Wolf RL, Lebwohl B, Ciaccio EJ, Green PHR. Persistent economic burden of the gluten free diet. Nutrients. 2019;11(2):399.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Singh J, Whelan K. Limited availability and higher cost of gluten-free foods. J Hum Nutr Diet. 2011;24(5):479–86.

    Article  CAS  PubMed  Google Scholar 

  13. Zarkadas M, Dubois S, MacIsaac K, Cantin I, Rashid M, Roberts KC, La Vieille S, Godefroy S, Pulido OM. Living with coeliac disease and a gluten-free diet: a Canadian perspective. J Hum Nutr Diet. 2013;26(1):10–23.

    Article  CAS  PubMed  Google Scholar 

  14. De Las H-D, Alías-Guerrero ALN, Cendra-Duarte E, Salas-Salvadó J, Vilchez E, Roger E, Hernández-Alonso P, Babio N. Assessment of price and nutritional quality of gluten-free products versus their analogues with gluten through the algorithm of the nutri-score front-of-package labeling system. Food Funct. 2021;12(10):4424–33.

    Article  Google Scholar 

  15. Hanci O, Jeanes YM. Are gluten-free food staples accessible to all patients with coeliac disease? Frontline Gastroenterol. 2019;10(3):222–8.

    Article  PubMed  Google Scholar 

  16. Burden M, Mooney PD, Blanshard RJ, White WL, Cambray-Deakin DR, Sanders DS. Cost and availability of gluten-free food in the UK: in store and online. Postgrad Med J. 2015;91(1081):622–6.

    Article  CAS  PubMed  Google Scholar 

  17. Jegede O, Enns A, Kantounia M, Preun T, Vagianos K, Suh M, Blewett H. Cost, nutritional content and number of gluten-free staple foods available in Winnipeg, Manitoba, Canada. Plant Foods Hum Nutr. 2021;76(2):196–202.

    Article  CAS  PubMed  Google Scholar 

  18. Estévez V, Ayala J, Vespa C, Araya M. The gluten-free basic food basket: a problem of availability, cost and nutritional composition. Eur J Clin Nutr. 2016;70(10):1215–7.

    Article  PubMed  Google Scholar 

  19. Jamieson JA, Gougeon L. Gluten-free foods in rural maritime provinces: limited availability, high price, and low iron content. Can J Diet Pract Res. 2017;78(4):192–6.

    Article  PubMed  Google Scholar 

  20. Pinto-Sanchez MI, Verdu EF, Gordillo MC, Bai JC, Birch S, Moayyedi P, Bercik P. Tax-deductible provisions for gluten-free diet in Canada compared with systems for gluten-free diet coverage available in various countries. Can J Gastroenterol Hepatol. 2015;29(2):104–10.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Coeliac UK. Gluten-free foods: a revised prescribing guide 2011. High Wycombe: Coeliac UK; 2011.

  22. Walker AJ, Curtis HJ, Bacon S, Croker R, Goldacre B. Trends, geographical variation and factors associated with prescribing of gluten-free foods in English primary care: a cross-sectional study. BMJ Open. 2018;8(3):e021312.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Kurien M, Trott N, Sleet S, Sanders DS. Prescribing gluten-free foods in general practice. Br J Gen Pract. 2018;68(673):364–5.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Linton MJ, Jones T, Owen-Smith A, Payne RA, Coast J, Glynn J, Hollingworth W. Breaking bread: examining the impact of policy changes in access to state-funded provisions of gluten-free foods in England. BMC Med. 2018;16(1):119.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Muhammad H, Reeves S, Ishaq S, Mayberry J, Jeanes YM. Adherence to a gluten free diet is associated with receiving gluten free foods on prescription and understanding food labelling. Nutrients. 2017;9(7):705.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Peters M, Crocker H, Jenkinson C, Violato M. Withdrawing gluten-free food from prescriptions in England: a mixed-methods study to examine the impact of policy changes on quality of life. J Hum Nutr Diet. 2020;33(4):453–64.

    Article  CAS  PubMed  Google Scholar 

  27. Crocker H, Lewis T, Violato M, Peters M. The affordability and obtainability of gluten-free foods for adults with coeliac disease following their withdrawal on prescription in England: a qualitative study. J Hum Nutr Diet. 2023;1–10.

  28. Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Crocker H, Jenkinson C, Peters M. Quality of life in coeliac disease: item reduction, scale development and psychometric evaluation of the Coeliac Disease Assessment Questionnaire (CDAQ). Aliment Pharmacol Ther. 2018;48(8):852–62.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Leffler DA, Dennis M, Edwards George JB, Jamma S, Magge S, Cook EF, Schuppan D, Kelly CP. A simple validated gluten-free diet adherence survey for adults with celiac disease. Clin Gastroenterol Hepatol. 2009;7(5):530-536.e531-532.

    Article  PubMed  Google Scholar 

  31. National Institute for Health and Care Excellence (NICE). NICE health technology evaluations: the manual. In: Process and methods [PMG36]. London: NICE; 2022.

  32. Hernández Alava M, Pudney S, Wailoo A. Estimating the relationship between EQ-5D-5L and EQ-5D-3L: results from a UK population study. Pharmacoeconomics. 2023;41(2):199–207.

    Article  PubMed  Google Scholar 

  33. English indices of deprivation. 2019. https://imd-by-postcode.opendatacommunities.org/imd/2019. Accessed 12 Dec 2020.

  34. Fry L, Madden AM, Fallaize R. An investigation into the nutritional composition and cost of gluten-free versus regular food products in the UK. J Hum Nutr Diet. 2018;31(1):108–20.

    Article  CAS  PubMed  Google Scholar 

  35. Bank of England Inflation calculator. https://www.bankofengland.co.uk/monetary-policy/inflation/inflation-calculator. Accessed 10 Mar 2023.

  36. Gravelle H, Sutton M. Income related inequalities in self assessed health in Britain: 1979–1995. J Epidemiol Community Health. 2003;57(2):125.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Vriesekoop F, Wright E, Swinyard S, Koning WD. Gluten-free products in the UK retail environment. Availability, pricing, consumer opinions in a longitudinal study. Int J Celiac Dis. 2020;8(3):95–103.

    Google Scholar 

  38. Coeliac UK. The gluten free diet: how much does it cost and why does it matter? High Wycombe: Coeliac UK; 2023.

  39. Violato M, Gray A. The economic burden of coeliac disease in the UK: a retrospective population based study. In: Coeliac UK Research Conference 2017. 2017.

  40. King JA, Jeong J, Underwood FE, Quan J, Panaccione N, Windsor JW, Coward S, deBruyn J, Ronksley PE, Shaheen AA, et al. Incidence of celiac disease is increasing over time: a systematic review and meta-analysis. Am J Gastroenterol. 2020;115(4):507–25.

    Article  PubMed  Google Scholar 

  41. Department for Environment Food and Rural Affairs. National Statistics: Family Food 2020/21. London: Department for Environment Food and Rural Affairs; 2023.

  42. Marmot M, Allen J, Boyce T, Goldblatt P, Morrison J. Health equity in England: the Marmot review 10 years on. London: Institute of Health Equity; 2020.

  43. Department of Health and Social Care. Consultation on the National Health Service (General Medical Services Contracts) (Prescription of Drugs etc.) (Amendment) regulations 2018 - gluten free food on NHS prescription in England. London: DHSC; 2018.

  44. What are integrated care systems? https://www.england.nhs.uk/integratedcare/what-is-integrated-care/. Accessed 20 Oct 2022.

  45. Office for National Statistics. Population of England and Wales. Newport: Office for National Statistics; 2022.

  46. Office for National Statistics. Household income. Newport: Office for National Statistics; 2022.

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Acknowledgements

MV was partly supported by the National Institute for Health and Care Research (NIHR) Oxford Health Biomedical Research Centre (BRC) and the NIHR Applied Research Collaboration (ARC) Oxford and Thames Valley. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. We thank the survey and interview participants for their time, as well as Coeliac UK for their support with recruitment and input into the newly developed survey questions.

Funding

The study was funded by Coeliac UK.

Author information

Authors and Affiliations

  1. Nuffield Department of Population Health, University of Oxford, Oxford, UK

    Thavapriya Sugavanam, Helen Crocker, Mara Violato & Michele Peters

  2. Oxford Centre for Diabetes, Endocrinology, and Metabolism (OCDEM), University of Oxford, Churchill Hospital, Headington, Oxford, OX3 7LE, UK

    Thavapriya Sugavanam

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  1. Thavapriya Sugavanam
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  2. Helen Crocker
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Contributions

MP and MV were part of the team that conceived the study and raised the funding. MP, MV and HC were involved in the development of the new questions used in the survey. MP and HC collected and processed the survey data. TS led the survey analysis, with the support of MP and MV. TS drafted this manuscript, with all other authors providing input throughout. All authors have approved the final version of the manuscript submitted for publication.

Corresponding author

Correspondence to Thavapriya Sugavanam.

Ethics declarations

Ethics approval and consent to participate

The Central University Research Ethics Committee of the University of Oxford approved the study (Reference number R45890/RE001). Signed informed consent was obtained from all participants at the beginning of the survey. All methods carried out in the study were performed in line with the approved protocol and relevant guidelines/regulations.

Consent for publication

No individual participant data are presented in this manuscript.

Competing interests

MP and HC are developers and copyright holders of the Coeliac Disease Assessment Questionnaire (CDAQ), which is licenced through Oxford University Innovation. The other authors declare no conflicts of interest.

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Supplementary Information

Additional file 1:

Regression analysis results.

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Sugavanam, T., Crocker, H., Violato, M. et al. The financial impact on people with coeliac disease of withdrawing gluten-free food from prescriptions in England: findings from a cross-sectional survey. BMC Health Serv Res 24, 146 (2024). https://doi.org/10.1186/s12913-024-10600-4

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BMC Health Services Research

ISSN: 1472-6963

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