Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Evaluation of the psychometric properties of the Episodic Disability Questionnaire (EDQ) among women living with HIV in the United Kingdom: A self-reported repeated measure study

  • Darren A. Brown OBE ,

    Contributed equally to this work with: Darren A. Brown OBE, Shema Tariq, Lisa Avery, Kelly K. O’Brien

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

    darren.brown11@nhs.net

    Affiliation Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom

  • Shema Tariq ,

    Contributed equally to this work with: Darren A. Brown OBE, Shema Tariq, Lisa Avery, Kelly K. O’Brien

    Roles Conceptualization, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing

    Affiliations University College London, London, United Kingdom, Central and North West London NHS Foundation Trust, London, United Kingdom

  • Marta Boffito,

    Roles Methodology, Writing – original draft, Writing – review & editing

    Affiliation Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom

  • David Asboe,

    Roles Methodology, Writing – original draft, Writing – review & editing

    Affiliation Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom

  • Ana Milinkovic,

    Roles Methodology, Writing – original draft, Writing – review & editing

    Affiliation Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom

  • Nneka Nwokolo,

    Roles Methodology, Writing – original draft, Writing – review & editing

    Affiliation Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom

  • Carol Flavell ,

    Roles Methodology, Writing – original draft, Writing – review & editing

    ‡ CF, SS and RH also contributed equally to this work

    Affiliation James Cook University, Townsville, Queensland, Australia

  • Sophie Strachan ,

    Roles Methodology, Writing – original draft, Writing – review & editing

    ‡ CF, SS and RH also contributed equally to this work

    Affiliations Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom, Sophia Forum, London, United Kingdom

  • Lisa Avery ,

    Contributed equally to this work with: Darren A. Brown OBE, Shema Tariq, Lisa Avery, Kelly K. O’Brien

    Roles Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliations University Health Network, Toronto, Canada, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada

  • Kelly K. O’Brien ,

    Contributed equally to this work with: Darren A. Brown OBE, Shema Tariq, Lisa Avery, Kelly K. O’Brien

    Roles Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada, Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada, Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada

  • Richard Harding

    Roles Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

    ‡ CF, SS and RH also contributed equally to this work

    Affiliation Cicely Saunders Institute, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King’s College London, London, United Kingdom

Abstract

Background

Disability is increasingly experienced by women ageing with HIV and multimorbidity. The Episodic Disability Questionnaire (EDQ) measures the presence, severity, and episodic nature of disability across six domains. We evaluated EDQ properties among women living with HIV in the United Kingdom.

Methods

Participants in the Positive Transitions Through the Menopause (PRIME) study completed the EDQ at two timepoints (1 week apart), criterion measures (WHODAS 2.0, EQ-5D-5L, Work and Social Adjustment Scale), and a demographic questionnaire. We evaluated internal consistency, test-retest reliability, measurement precision (Minimum Detectable Change (MDC) 95%), and construct validity. We assessed disability prevalence using WHODAS 2.0 (moderate threshold) and Equality Act Disability Definition (severe threshold).

Results

Of 104 participants (median age 56 years, 65% Black ethnicity), 93 (89%) completed the EDQ twice. Median duration since HIV diagnosis was 23 years; 98% had undetectable viral loads and 86% reported multimorbidity. Cronbach’s alpha ranged from 0.83 (social domain) to 0.92 (daily activities domain). ICC ranged from 0.70 (physical domain) to 0.91 (daily activities domain). Precision varied, highest in daily activities (MDC95%: 6.10) and lowest in mental-emotional domains (MDC95%: 11.52). The EDQ met 80% (n = 47/59) of construct validity hypotheses. Disability prevalence was 79.81% (95%CI 70.57, 86.79) moderate and 41.75% (32.24, 51.88) severe.

Conclusions

The EDQ possesses internal consistency, test-retest reliability, and construct validity with varied precision among women living with HIV. Disability prevalence in this sample was higher than in the general population. The EDQ offers value for research, clinical practice, and national policy by enabling measurement and description of disability, supporting intervention evaluation, and informing priority-setting and healthcare service planning for women living with HIV in the UK.

Introduction

With access to effective antiretroviral therapy, people living with HIV are increasingly reaching older age in the United Kingdom (UK) and are more likely to experience multimorbidity and disability [13], presenting significant health-related challenges. Disability is defined by adults living with HIV as any physical, cognitive, mental-emotional symptoms, difficulties with day-to-day activities, challenges to social inclusion, and uncertainty about future health, that may persist or fluctuate on a daily basis or over the longer course of living with HIV [4,5].

Functioning and disability are important for monitoring the performance of health strategies in health systems [6]. Measuring disability is additionally important for determining the impact of health challenges, improving communication between providers and patients, and evaluating interventions [79].

The Episodic Disability Questionnaire (EDQ) is a generic 35-item patient-reported outcome measure (PROM) of disability [10] informed by the episodic disability framework [4,11]. Episodic disability is conceptualised as any health-related challenges that may fluctuate or persist over time when living with a health condition [4,11]. The EDQ is derived from the HIV-specific Short-Form HIV Disability Questionnaire (SF-HDQ) [12] and HIV Disability Questionnaire (HDQ) [13], which both possess validity, reliability, and sensibility for use among adults living with HIV in Canada, Ireland, the United States (US) and the UK [1418]. The EDQ has demonstrated internal consistency, construct validity, and test–retest reliability, with limited precision when administered electronically across a sample comprised of primarily men (83%) living with HIV [10].

In the UK, people with disabilities experience inequities in social inclusion, education, employment, accessing health services, living standards, housing, well-being, loneliness, and are more commonly victims of crime than the general population [19,20]. National policy recognises that women living with HIV experience distinct health challenges and inequities [21]. Women are more likely to experience disability than men [19,22,23] and women living with HIV in the UK experience higher disability severity compared to men [3]. Considering the gendered dimensions of disability, the under-representation of women in HIV research [24], and policy requirements for improved evidence, monitoring and tailored support for women living with HIV [21], it is essential to evaluate the psychometric properties of disability measurement tools among women. We aimed to assess the EDQ for its ability to measure disability experienced by women living with HIV in the UK, specifically internal consistency, test-retest reliability, precision of measurement, and construct validity. We also aimed to measure disability prevalence and report disability profiles among women living with HIV.

Methods

We conducted a cross-sectional repeated measurement study involving the administration of the EDQ and criterion measures with women living with HIV in England, UK. We followed established COnsensus‐based Standards for the selection of health Measurement Instruments (COSMIN) guidelines, a set of consensus-based reporting recommendations for primary studies of the measurement properties of patient-reported outcome measures, to evaluate and report the measurement properties of the EDQ [25].

Study setting

This study was conducted at ten NHS outpatient HIV clinical settings in three cities in England, UK. We received ethics approval from the London City & East Research Ethics Committee (REC reference: 22/PR/1483) and Health Research Authority (IRAS: 318781). This study was included in the NIHR CRN Portfolio (CPMS ID: 54554).

Participants

We recruited women living with HIV who had previously participated in the Positive Transitions Through the Menopause (PRIME) study, regardless of menopausal status [26]. Potential participants were eligible if they had participated in PRIME, and were therefore living with HIV, female sex, aged 45–60 years on entry to PRIME, and had provided consent to be contacted about future research. Exclusion criteria were the inability to give consent or complete questionnaires in English. Participants were recruited via their local clinical care team. Written informed consent was obtained from participants at the initial study information and consent page of the questionnaire administration.

Data collection

Between March 2023 to January 2024 we electronically administered the EDQ followed by three criterion measures (World Health Organization Disability Assessment Schedule (WHODAS 2.0) [27], EQ-5D-5L [28], and Work and Social Adjustment Scale (WSAS) [29]) and a demographic questionnaire using Qualtrics software (https://www.qualtrics.com). Participants completed the questionnaires in-person via a computer or tablet at the recruiting clinical site, or remotely via a link in an email or Short Message Service (SMS) text. One week later, we emailed participants with a link requesting them to complete the EDQ only. At this time, we asked whether participants had a major change in their health status since their last EDQ completion and if yes, to describe this change. Study authors did not have access to information that could identify individual participants during or after data collection.

Questionnaires

Episodic Disability Questionnaire.

The EDQ is a 35-item generic PROM of disability encompassing six domains: i) physical (10 items); ii) cognitive (3 items); iii) mental-emotional (5 items), iv) uncertainty about future health (5 items), v) difficulties carrying out day-to-day activities (5 items), and vi) challenges to social inclusion (7 items) [10]. For each item, individuals report the extent they experience a specific health-related challenge on the day of assessment (severity scale of 0–4) and whether each challenge fluctuated over the past week (episodic score yes or no) [10]. The presence scale is calculated by dichotomising the severity scale as either present (severity 1–4) or absent (severity of 0) [10]. The EDQ was derived from the preceding SF-HDQ [12]. Severity and presence domain scores are calculated using the algorithm derived from the previous Rasch analysis (score range: 0–100) [10,12]. Higher scores indicate greater presence, severity and episodic nature of disability [10].

World Health Organization disability assessment schedule.

The WHODAS 2.0 is a 12-item generic PROM of functioning and disability, directly linked to the International Classification of Functioning, Disability and Health (ICF) [27,30]. The WHODAS 2.0 assesses the level of difficulty individuals experience performing specific functions over the past 30 days, encompassing six domains: i) cognition, ii) mobility, iii) self-care, iv) getting along, v) life activities and vi) participation. Individuals answer a 5-point ordinal scale (range 0–4) with higher scores indicating greater difficulty completing the activity [27]. In simple scoring, scores are summed to provide a value out of 48, with higher scores suggesting greater disability [27]. Complex scoring (or item response theory-based scoring) weights individual item severity, providing a disability range from 0 (no disability) to 100 (total disability) [27]. The WHODAS possesses internal consistency, test–retest reliability, validity and cross-cultural applicability [30,31]. The WHODAS is validated in people with chronic health conditions [32] and people living with HIV [33]. Categorisation thresholds have been developed to identify people living with HIV experiencing disability (score ≥2) [3,34,35], and any level of functional limitation (score ≥1) [36,37]. In the UK, scores ≥2 have been defined as “moderate” disability among people living with HIV [3].

EQ-5D-5L.

The EuroQOL five dimensions five-level questionnaire is a generic PROM of health-related quality of life, encompassing five domains: i) mobility; ii) self-care; iii) usual activities; iv) pain/discomfort; and v) anxiety/depression [28,38]. Each domain has 5 levels: no problems, slight problems, moderate problems, severe problems, and extreme problems. The digits for the five dimensions can be combined into a 5-digit number that describes the patient’s health state, or represented by a single summary number known as the index value, with a range approximately −0.285 to 1.000 [28,39]. The EQ-5D-5L is an extensively used generic measure of health-related quality of life in HIV research and across different diseases worldwide [40,41]. Psychometric data support its use [42], and it has been used within national HIV reporting and the PRIME study [26,43].

Work and Social Adjustment Scale.

The WSAS is a generic PROM of perceived impairment in work or social functioning resulting from a health problem [29]. The 5 domains are scored on an ordinal scale from 0 (not at all) to 8 (very severe), to identify challenges in: i) work; ii) home management; iii) social leisure activities; iv) private leisure activities; and v) relationships with others. Scores range from 0 to 40, with lower scores indicating better adjustment. WSAS scores above 20 suggest severe functional impairment, scores between 10 and 20 suggest moderately severe and scores below 10 suggest mild [29,44]. The WSAS has demonstrated high internal consistency among people living with HIV [44] and is used to assess functional impairment among people living with HIV and painful peripheral neuropathy [45].

Demographic questionnaire.

The demographic questionnaire included 35 items encompassing demographic (e.g., age, sex, gender, ethnicity), health (e.g., time since HIV diagnosis, viral load, concurrent health conditions, menopause, and general health status), and social characteristics (e.g., living arrangements, work status, social security or benefits), and the UK Equality Act Disability Definition (EADD) questions [46,47]. The EADD reflects legal definitions in the Equality Act 2010 and defines a person as disabled if they have a physical or mental impairment, and that impairment has a substantial and long-term adverse effect on their ability to carry out day-to-day activities [48]. The classification questions making up the EADD are: (a) “do you have any physical or mental health conditions or illnesses lasting or expecting to last 12-months or more?”; (b) “do any of your conditions of illnesses reduce your ability to carry out day-to-day activities?”. A person is counted as disabled if they answer “yes” to both classification questions. The EADD has been used to define “severe” disability among people living with HIV in the UK [3].

Analysis

We calculated median (interquartile ranges (IQR)) EDQ scores aligned to previous analysis [10]. Severity and presence domain scores (range: 0–100) were calculated using the algorithm established from the previous Rasch analysis [10,12]. Episodic domain scores (range: 0–100) included a simple sum transformation [10]. Higher scores indicated greater presence, severity and episodic nature of disability [10]. We calculated median WHODAS 2.0 domain scores, EQ-5D-5L scores and WSAS scores as per guidelines. For the demographic questionnaire, we calculated descriptive statistics including frequencies (%) for categorical variables and median and IQR for continuous variables. Analyses were conducted in R version 4.4.0 using the psych package.

Internal consistency.

We calculated Cronbach’s alpha (severity domain) and Kuder-Richardson-20 (KR-20) (presence and episodic domains) for time 1 (T1) with 95% confidence intervals (CI) (≥0.7 acceptable) [10,49].

Test-retest reliability.

We calculated Intra Class Correlations (ICCs) with 95% CI using T1 and time 2 (T2) EDQ scores based on Shrout and Fleiss’ ICC2 (absolute agreement with random raters) (lower bound CI of  >  0.7 acceptable) [10,49]. We calculated ICCs for the sample that indicated no change in health status between T1 and T2 [10]. Our test–retest assessment included only the EDQ presence and severity scales, consistent with previous analysis [10], as the episodic scale assesses for disability fluctuations over the past week and consistency in this scale was not expected.

Measurement precision.

We calculated the Standardised Error of Measurement (SEM) using Wywrich criteria [50], where is the test-retest reliability. The Minimum Detectable Change (MDC) was calculated for 95% CI (MDC95%) using the method proposed by Haley [51], where ρ is the test-retest reliability ICC, 1 – α is the level of confidence, and is the standard deviation of the measure at T1 [10].

Construct validity.

A priori hypotheses were formulated based on previous EDQ validation studies and clinical understanding [10], predicting specific correlational patterns between EDQ domains and the criterion measures (WHODAS 2.0, EQ-5D-5L, WSAS), as well as known group differences. We examined correlations for 59 total a priori hypotheses: 6 primary and 53 secondary. Primary hypotheses theorised relationships between EDQ domains’ severity scores and WHODAS 2.0 total scores. Secondary hypothesis theorised relationships between EDQ and WHODAS, EQ-5D-5L, and WSAS criterion measure sub-scales, and known groups of participants completing EDQ “on a good day” and with ≥ 2 concurrent health conditions [10]. The full list of a priori hypotheses is available in S1 Fig. We calculated Spearman correlation coefficients to test associations between continuous EDQ scores and criterion measures, and Wilcoxon rank sum tests to compare EDQ scores across ordinal criterion measures. Spearman correlation coefficients of | ≥  0.30|, | ≥  0.50| and | ≥  0.70| were defined as ‘weak’, ‘moderate’ and ‘strong’, respectively [10,52]. If the lower bound of the confidence interval for the Spearman correlation was greater than the pre-specified level, the criteria were considered to be met. Wilcoxon rank sum test for a test of difference in medians between the known groups was significant at a level of <0.05, for the criteria to be considered met. Construct validity was defined as ≥75% confirmed hypotheses [10,52].

Disability prevalence.

We estimated disability prevalence frequencies (%) and 95% CI, representing a range of severity [53]. The threshold for experiencing “moderate” disability was defined as WHODAS scores ≥2, representing at least two mild/moderate or one moderate/severe limitation on WHODAS items [3,3437]. The threshold for experiencing “severe” disability was defined as self-rating “yes” to both EADD classification questions [3].

Disability profile.

We calculated the frequency (%) for WHODAS simple scores in response to all 12 items, presence of any functional limitation (score ≥1) per WHODAS domain, WHODAS total number of limitations, and WHODAS difficulty levels [3]. For WHODAS simple and complex sum scores, we calculated mean (standard deviation (SD)) and median (IQR as 25th-75th percentile) to align with normative data and existing literature [3,54,55]. We calculated median, lower quartile (LQ) and upper quartile (UQ), and range for EDQ presence, severity, and episodic scores per EDQ domain [3,10].

Sample size.

A sample of 85 participants was required to detect a weak correlation |r = 0.30| between the EDQ and criterion scores, with 0.80 power and alpha of 0.05 [10,56]. To account for incomplete questionnaire responses, attrition at T2, and recruiting 25% eligible participants from each site, our targeted sample size was 104 women living with HIV.

Results

One hundred and four participants completed the questionnaires at T1, of which 93 (89%) completed the EDQ at T2, a median of 11 days (IQR 8–19) after T1. Of the 93 completing T2, 59 (63%) participants reported no change in health status and were included in the test-retest reliability assessment. Among the 59 included, 51 (86%) reported completing T1 and T2 questionnaires on a good day, and 8 (14%) reported a bad day for both T1 and T2.

Participant characteristics

Participants’ demographic, health and social characteristics are provided in Table 1 and S1 Table. All participants were female sex assigned at birth, median age 56 years (IQR 54–58), with a median duration of 23 years since HIV diagnosis (IQR 18–27). Most participants were of Black, Black British, Caribbean or African ethnicity n = 67 (65%), taking anti-retroviral therapy n = 102 (99%), had an undetectable viral load <200 copies/ml n = 88 (98%), and were living with a median of 5 comorbidities (IQR 3–8), representing multi-morbidity (≥2 co-morbidities) n = 89 (86%).

thumbnail
Table 1. Participants’ demographic, health, and social characteristics.

https://doi.org/10.1371/journal.pone.0336679.t001

Criterion measures

WHODAS “simple” sum scores were mean 12.6 out of 48 (SD; 11.9), median 9.0 (IQR; 2.0–22.2). WHODAS “complex” sum scores were mean 26.3 out of 100 (SD; 24.8), median 18.8 (IQR; 4.2–46.3). The EQ-5D-5L median index scores were 0.7 (IQR: 0.5–0.8). See S2 Table for frequencies (%) for each ED-5D-5L domain/item. The WSAS scores were mean 9.9 out of 40 (SD;11.8), median 5 (IQR: 0–16).

Internal consistency

The EDQ met criteria for internal consistency across domains in the presence, severity and episodic scales (ICC ≥0.7). Cronbach’s alpha for EDQ severity scores ranged from 0.83 (social domain) to 0.92 (daily activities domain), for EDQ presence scores ranged from 0.75 (uncertainty domain) to 0.90 (daily activities domain), and for EDQ episodic scores ranged from 0.70 (social domain) to 0.81 (daily activities domain) (Table 2). Lower bound CIs were ≥0.7, except for the uncertainty domain (0.67) of the EDQ presence scale and social domain (0.61) of the EDQ episodic scale (Table 2).

thumbnail
Table 2. Internal consistency for Episodic Disability Questionnaire (EDQ) domain scores (N = 104 participants).

https://doi.org/10.1371/journal.pone.0336679.t002

Test-retest reliability

Overall, the EDQ met criteria for test-retest reliability for EDQ severity domains with ICCs ranging from 0.70 (physical domain) to 0.91 (daily activities domain) and for EDQ presence domains ranging from 0.72 (physical domain) to 0.89 (daily activities domain) (Table 3). Lower bound CIs were >0.7, except for the physical domain (0.53) of the EDQ severity scale and physical (0.57), cognitive (0.60) and uncertainty (0.63) domains of the EDQ presence scale (Table 3).

thumbnail
Table 3. Test-retest reliability for the Episodic Disability Questionnaire (EDQ) domains for severity and presence scales (n = 59).

https://doi.org/10.1371/journal.pone.0336679.t003

Precision

The EDQ severity scale for each domain demonstrated the highest precision, whereby the MDC95% ranged from 6.10 (daily activities domain) to 11.52 (mental-emotional domain), followed by the presence scale, whereby MDC95% ranged from 12.84 (social inclusion domain) to 21.32 (cognitive domain). The episodic scale MDC95% ranged from 13.75 (social inclusion domain) to 27.58 (cognitive domain) (Table 4).

thumbnail
Table 4. Minimum Detectable Change (MDC) for Episodic Disability Questionnaire (EDQ) scales (N = 104 participants).

https://doi.org/10.1371/journal.pone.0336679.t004

Construct validity

Eighty percent (47/59) of all hypotheses were met, including all six primary hypotheses (100%) and 41/53 (77%) secondary hypotheses confirmed, shown in S1 Fig, supporting construct validity for use with women living with HIV in the UK.

Disability prevalence

The estimated prevalence of moderate disability was 79.81% (95%CI: 70.57, 86.79) with n = 83 scoring ≥2 on WHODAS. The estimated prevalence of severe disability was 41.75% (95%CI: 32.24, 51.88) with n = 43 self-rating “yes” to both EADD classification questions.

Disability profile

The WHODAS simple scores in response to all 12 items are shown in S3 Table. Frequency of any functional limitation (score ≥1) within each of the six WHODAS disability domains were: challenges to social participation (n = 129, 62%), mobility challenges (n = 122, 59%), challenges to life activities (n = 116, 56%), cognitive health challenges (n = 103, 50%), challenges getting along (n = 90, 43%), and challenges with self-care (n = 72, 35%). Any level of functional limitation (WHODAS score ≥1) was reported by n = 90 (87%), whereby n = 9 (9%) scored one limitation, n = 10 (10%) two limitations, n = 7 (7%) three limitations, n = 64 (62%) four or more limitations, and n = 19 (18%) scoring all twelve limitations. Difficulty levels across all WHODAS items were “no difficulty’ n=616 (49%), “mild difficulty” n = 203 (16%), “moderate difficulty” n = 247 (20%), “severe difficulty” n = 114 (9%), and “extreme difficulty/cannot do” n = 68 (5%). The T1 EDQ domain scores are shown in Table 5. The most severe, present, and episodic EDQ disability domains at T1 were “uncertainty”, “uncertainty”, and “physical symptoms and impairments” respectively, with n = 84 (81%) reported completing the EDQ on a good day at T1.

thumbnail
Table 5. Median time 1 EDQ domain scores (N = 104 participants).

https://doi.org/10.1371/journal.pone.0336679.t005

Discussion

The EDQ exhibits internal consistency, test-retest reliability, and construct validity with varied precision among women living with HIV in the UK. This study extends previous evaluations of the EDQ’s measurement properties, which were conducted largely with samples composed of men living with HIV [10,12,1418]. These results are the first known to focus on the EDQ measurement properties with women.

The EDQ presence, severity and episodic scales demonstrated internal consistency with all lower bound CIs of Cronbach’s alphas ≥0.70, apart from the uncertainty domain in the EDQ presence scale (0.67) and social domain in the EDQ episodic scale (0.61). These findings suggest that the items operate cohesively and together reflect the broader construct of disability among women living with HIV in the UK. Our findings are consistent with earlier EDQ internal consistency analysis in Canada, Ireland, the UK and the US, whereby Cronbach’s alphas ranged from 0.72 to 0.91 [10], while extending this evidence base to women living with HIV in the UK, a population not previously evaluated.

Our analysis of test-retest reliability demonstrated that the EDQ severity and presence scales achieved ICCs > 0.70, reflecting temporal stability. Lower bound CIs for all ICCs were >0.70, except the physical (0.53) domain of the EDQ severity scale and physical (0.57), cognitive (0.60) and uncertainty (0.63) domains of the EDQ presence scale. We assessed test–retest reliability for the EDQ presence and severity scales only, as the episodic scale aims to capture fluctuations within the past week and was not expected to remain stable. Results confirm this expectation, with lower ICCs for the EDQ episodic scale, reflecting the episodic nature of disability. These lower ICCs represent not a failure of reliability within the episodic scale but instead its sensitivity to change. This evaluation relied on only two measurement occasions; consequently, the day-to-day variability of disability may influence how T2 EDQ scores are interpreted and could lead to conservative estimates of temporal stability. Incorporating additional repeated assessments in future longitudinal work would strengthen understanding of how the EDQ performs across routine HIV care visits. The EDQ has been proposed as a useful tool for group-level monitoring and programme evaluation [10]. Ultimately, clinicians must determine what degree of measurement error is acceptable in clinical practice, depending on how EDQ results are intended to inform care decisions, service referrals, or eligibility for disability benefits [10,14,57]).

A lower MDC95% indicates greater precision, meaning smaller changes in scores can be confidently considered true changes rather than measurement error. The EDQ is most precise in detecting changes in the daily activities domain and least precise in the uncertainty domain. Among women living with HIV, the EDQ severity scale demonstrated higher precision, underscoring its potential utility for interpreting meaningful changes in disability over time. The severity scale offers clinicians and researchers a reference point for discerning minimal yet significant changes in disability longitudinally, surpassing day-to-day variability and measurement error.

Construct validity was supported, with 80% of all a priori hypotheses confirmed, including all primary and 77% of secondary hypotheses. This level of confirmation, alongside a conservative approach to evaluating both primary and secondary criteria, reinforces the EDQ’s capacity to measure disability consistent with previous analysis [10,16]. Considering gendered dimensions of disability, these findings provide clinicians and researchers assurance of the EDQ’s ability to measure disability experienced by women living with HIV in the UK.

Our disability prevalence estimates among this sample of working-age women living with HIV in the UK demonstrate that 4 in 5 (79.81%) women experienced moderate disability, and approximately 2 in 5 (41.75%) experienced severe disability. Identifying individuals with less severe disability is important, as focused public health interventions towards those with mild to moderate disability may generate additional gains in population health [58]. The severe disability threshold (EADD) follows the core definition of disability in the Equality Act 2010, permitting comparison to the general population. Our disability estimates exceed proportions of disability among women and working-age adults in the UK general population, trending towards proportions among state-pension age adults [19,59]. They also exceed disability prevalence among a sample comprised primarily of men living with HIV in the UK [3]. Notably, 1 in 6 (18%) participants reported via the EADD that their conditions or illnesses limited their ability to carry out day-to-day activities, despite indicating no physical or mental health conditions expected to last 12-months or more. Given that all participants were living with HIV, this may represent underreporting of severe disability prevalence and highlights potential limitations of duration-based criteria in capturing episodic or fluctuating disability experiences. This sample of women also lived with more concurrent health conditions (median 5) compared to previous estimates among men (median 2) [3], underscoring the gendered complexity of ageing with HIV and multimorbidity. The high prevalence of disability in this sample underscores the value of PROMs capable of accounting for episodic health challenges, particularly among women ageing with HIV.

Our findings demonstrate that women living with HIV experience multidimensional and episodic disability in the context of antiretroviral therapy and viral suppression. This study also provides the first known disability profiles of women living with HIV in the UK, capturing the breadth of disability by quantifying the magnitude or severity of impact, beyond a dichotomised reporting of those who are disabled and those who are not [58]. Relative to WHODAS population norms [27,54], disability scores in this sample were elevated. Mean WHODAS simple scores were approximately three to four times higher than general population averages, while mean WHODAS complex scores were four to six times higher [27,54]. Median scores were similarly elevated, reflecting the severity of disability experienced by women living with HIV in the UK.

Our results show that the most severe and present disability domain was uncertainty about future health. This aligns with previous research identifying uncertainty as the domain with the highest severity and presence scores [10,1518], and indicates the importance of measuring uncertainty as a core component of disability experiences [60]. Consistent with UK data, physical symptoms and impairments were the most episodic and second most severe domain, experienced by women in this sample [10,16], emphasising the importance of screening, measuring and addressing these health challenges. Chronic pain of joints (45%) and soft tissue (42%) were the most frequent concurrent health conditions (S1 Table), with mobility impairments, social participation challenges and limitations with life activities being the most common WHODAS activity limitations (S3 Table). Musculoskeletal pain is common during perimenopause [61], highlighting the importance of detailed clinical history and awareness of the broad impacts of menopause transition. Furthermore, this sample of women reported higher rates of ≥1 WHODAS limitations than samples comprising mostly men, and higher rates of four or more activity limitations [3]. Physical symptoms and impairments can adversely affect daily functioning and reduce health-related quality of life [62]. Despite HIV care cascade successes in the UK [63], addressing the broader health, functioning, and well-being needs of women living with HIV requires disability-inclusive systems, interventions and multi-disciplinary care teams capable of providing comprehensive rehabilitation.

Implications for practice and research

The EDQ can be used clinically to describe disability experienced by women living with HIV, determine the impact of health challenges, improve communication between providers and patients, and evaluate the effect of interventions [10]. Clinicians and women living with HIV can use the EDQ to better understand which disability dimensions pose challenges and better direct personalised interventions and rehabilitation. The EDQ is also unique in its ability to measure and describe the episodic nature of health challenges experienced over time [10,64]. Our findings indicate that women living with HIV in the UK are experiencing and self-reporting high levels of disability and multimorbidity. This warrants the inclusion of disability as a core outcome within national HIV surveillance, such as the UK Health Security Agency (UKHSA) annual reporting [1] and the Positive Voices survey [43], using validated tools to estimate prevalence and distribution of disability. Given that disability is associated with poorer health outcomes, fewer economic opportunities, and increased risk of poverty [65], the availability of valid and reliable disability data is essential for informing national strategies and action plans [21] and addressing negative societal attitudes [66]. Such data are critical for identifying priority areas and policy targets, guiding service planning and resource allocation, evaluating whether a population's health needs are met, and assessing effective intervention coverage. Moreover, disability data are required for monitoring progress against the United Nations (UN) Sustainable Development Goals (SDGs) and for fulfilling obligations under the Convention on the Rights of Persons with Disabilities (CRPD) [6770].

Strengths and limitations

We recruited ethnically diverse women living and ageing with HIV across the UK who had participated in the PRIME study, whereby the majority of participants were peri- or post-menopausal. Menopausal experiences of women in the UK are multifaceted, spanning physical, emotional, and social dimensions of health [71], and our results bring attention to the disability experiences of women living with HIV during the menopause. Our results may not be generalisable to all women living with HIV or transferable to low or middle-income countries. Future research should explore the EDQ’s performance with broader populations of women living with HIV, and our results can support sample size estimations. This assessment of EDQ properties involved electronic administration, and results may not be transferable to other modes of administration, such as paper-based administration [10]. Future research should explore the EDQ's performance when administered via different or mixed modalities, and investigate potential mode effects, as accessibility for all populations may require mixed-mode administration. Women represent over a third of people receiving HIV care in the UK in 2024, with 48% aged 50 years and over [1]. Consequently, these data are representative of a large and growing population of women living with HIV in the UK, addressing chronic underrepresentation of women, racially minoritised people and older people in HIV research [24,72]. Future longitudinal studies using the EDQ are necessary to further confirm its responsiveness to change over longer periods and to establish minimal clinically important difference (MCID) values.

Conclusions

The EDQ demonstrated internal consistency, test-retest reliability, and construct validity with varied precision among women living with HIV. Disability prevalence and severity in this sample were higher than in the general population. The EDQ offers value for research, clinical practice, and national policy by enabling measurement and description of disability, supporting intervention evaluation, and informing priority-setting and healthcare service planning for women living with HIV in the UK.

Supporting information

S1 Table. Participants’ additional demographic, health, and social characteristics.

https://doi.org/10.1371/journal.pone.0336679.s001

(DOCX)

S2 Table. EQ-5D-5L frequency (%) of scores per domain.

https://doi.org/10.1371/journal.pone.0336679.s002

(DOCX)

S3 Table. WHODAS 2.0 12-item frequency (%) of participants scoring per difficulty level.

https://doi.org/10.1371/journal.pone.0336679.s003

(DOCX)

S1 Fig. Construct validity hypotheses testing and results of the Episodic Disability Questionnaire (EDQ).

https://doi.org/10.1371/journal.pone.0336679.s004

(PDF)

Acknowledgments

We express our deepest gratitude to all the women living with HIV who participated in this research, sharing their experiences and providing valuable insights into various aspects of their health and functioning. We also thank the research team, including co-investigators and collaborators from ten NHS outpatient HIV clinical settings recruiting participants, and the Sophia Forum for their dedicated efforts in providing patient and public involvement, for this evaluation of disability among PRIME study participants, the UK’s largest sample of women living with HIV.

References

  1. 1. UK Health Security Agency. HIV testing, PrEP, new HIV diagnoses and care outcomes for people accessing HIV services: 2025 report. 2025; Available from: https://www.gov.uk/government/statistics/hiv-annual-data-tables/hiv-testing-prep-new-hiv-diagnoses-and-care-outcomes-for-people-accessing-hiv-services-2025-report
  2. 2. Sukumaran L, De Francesco D, Winston A, Mallon PWG, Doyle N, Anderson J, et al. Changes in multimorbidity burden over a 3-5 year period among people with HIV. Front Syst Biol. 2023;3:1136999. pmid:40809470
  3. 3. Brown DA, O’Brien KK, Harding R, Sedgwick PM, Nelson M, Boffito M, et al. Prevalence, severity, and risk factors of disability among adults living with HIV accessing routine outpatient HIV care in London, United Kingdom (UK): A cross-sectional self-report study. PLoS One. 2022;17(5):e0267271. pmid:35551320
  4. 4. O’Brien KK, Bayoumi AM, Strike C, Young NL, Davis AM. Exploring disability from the perspective of adults living with HIV/AIDS: development of a conceptual framework. Health Qual Life Outcomes. 2008;6:76. pmid:18834538
  5. 5. O’Brien KK, Davis AM, Strike C, Young NL, Bayoumi AM. Putting episodic disability into context: a qualitative study exploring factors that influence disability experienced by adults living with HIV/AIDS. J Int AIDS Soc. 2009;12:5. pmid:19900284
  6. 6. Stucki G, Bickenbach J. Functioning: the third health indicator in the health system and the key indicator for rehabilitation. Eur J Phys Rehabil Med. 2017;53(1):134–8. pmid:28118696
  7. 7. Bristowe K, Clift P, James R, Josh J, Platt M, Whetham J, et al. Towards person-centred care for people living with HIV: what core outcomes matter, and how might we assess them? A cross-national multi-centre qualitative study with key stakeholders. HIV Med. 2019;20(8):542–54. pmid:31162817
  8. 8. Black N, Burke L, Forrest CB, Sieberer UHR, Ahmed S, Valderas JM, et al. Patient-reported outcomes: pathways to better health, better services, and better societies. Qual Life Res. 2016;25(5):1103–12. pmid:26563251
  9. 9. Calvert M, Kyte D, Price G, Valderas JM, Hjollund NH. Maximising the impact of patient reported outcome assessment for patients and society. BMJ. 2019;364:k5267. pmid:30679170
  10. 10. O’Brien KK, Erlandson KM, Brown DA, Carusone SC, Vera JH, Bergin C, et al. Episodic disability questionnaire (EDQ) measurement properties among adults living with HIV in Canada, Ireland, United Kingdom, and United States. BMC Infect Dis. 2024;24(1):71. pmid:38200425
  11. 11. O’Brien KK, Hanna S, Gardner S, Bayoumi AM, Rueda S, Hart TA, et al. Validation of the episodic disability framework with adults living with HIV. Disabil Rehabil. 2014;36(4):319–29. pmid:23688295
  12. 12. O’Brien KK, Dzingina M, Harding R, Gao W, Namisango E, Avery L, et al. Developing a short-form version of the HIV Disability Questionnaire (SF-HDQ) for use in clinical practice: a Rasch analysis. Health Qual Life Outcomes. 2021;19(1):6. pmid:33407538
  13. 13. O’Brien KK, Bayoumi AM, Bereket T, Swinton M, Alexander R, King K, et al. Sensibility assessment of the HIV Disability Questionnaire. Disabil Rehabil. 2013;35(7):566–77. pmid:22816434
  14. 14. O’Brien KK, Solomon P, Carusone SC, Erlandson KM, Bergin C, Bayoumi AM, et al. Assessing the sensibility and utility of a short-form version of the HIV Disability Questionnaire in clinical practice settings in Canada, Ireland and the USA: a mixed methods study. BMJ Open. 2022;12(9):e062008. pmid:36175103
  15. 15. O’Brien KK, Solomon P, Bergin C, O’Dea S, Stratford P, Iku N, et al. Reliability and validity of a new HIV-specific questionnaire with adults living with HIV in Canada and Ireland: the HIV Disability Questionnaire (HDQ). Health Qual Life Outcomes. 2015;13:124. pmid:26263898
  16. 16. Brown DA, Simmons B, Boffito M, Aubry R, Nwokolo N, Harding R, et al. Evaluation of the psychometric properties of the HIV Disability Questionnaire among adults living with HIV in the United Kingdom: a cross-sectional self-report measurement study. PLoS One. 2019;14(7):e0213222. pmid:31291243
  17. 17. O’Brien KK, Kietrys D, Galantino ML, Parrott JS, Davis T, Tran Q, et al. Reliability and validity of the HIV Disability Questionnaire (HDQ) with adults living with HIV in the United States. J Int Assoc Provid AIDS Care. 2019;18. pmid:31769326
  18. 18. Brien KK, Solomon P, Bayoumi AM. Measuring disability experienced by adults living with HIV: assessing construct validity of the HIV Disability Questionnaire using confirmatory factor analysis. BMJ Open. 2014;4(8):e005456.
  19. 19. House of Commons Library. UK disability statistics: Prevalence and life experiences. 2024. [cited 2025 Apr 20]. Available from: https://researchbriefings.files.parliament.uk/documents/CBP-9602/CBP-9602.pdf
  20. 20. Disability Unit Office for Equality and Opportunity. The lived experience of disabled people in the UK: a review of evidence. 2025.
  21. 21. Department of Health & Social Care. HIV Action Plan for England, 2025 to 2030. 2025; Available from: https://www.gov.uk/government/publications/hiv-action-plan-for-england-2025-to-2030
  22. 22. Office for National Statistics. Disability by age, sex and deprivation, England and Wales: Census 2021. 2023. [cited 2025 Apr 20]. Available from: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/disability/articles/disabilitybyagesexanddeprivationenglandandwales/census2021
  23. 23. Scotland's Census. Scotland’s Census 2022 - Health, disability and unpaid care. 2024. [cited 2025 Apr 20]. Available from: https://www.scotlandscensus.gov.uk/2022-results/scotland-s-census-2022-health-disability-and-unpaid-care/
  24. 24. Curno MJ, Rossi S, Hodges-Mameletzis I, Johnston R, Price MA, Heidari S. A systematic review of the inclusion (or exclusion) of women in HIV research: from clinical studies of antiretrovirals and vaccines to cure strategies. J Acquir Immune Defic Syndr. 2016;71(2):181–8. pmid:26361171
  25. 25. Gagnier JJ, Lai J, Mokkink LB, Terwee CB. COSMIN reporting guideline for studies on measurement properties of patient-reported outcome measures. Qual Life Res. 2021;30(8):2197–218. pmid:33818733
  26. 26. Tariq S, Burns FM, Gilson R, Sabin C. PRIME (Positive Transitions Through the Menopause) Study: a protocol for a mixed-methods study investigating the impact of the menopause on the health and well-being of women living with HIV in England. BMJ Open. 2019;9(6):e025497. pmid:31171548
  27. 27. Ustun T, et al. Measuring health and disability: manual for WHO Disability Assessment Schedule (WHODAS 2.0). 2010 [cited 2025 Mar 30]. Available from: https://www.who.int/publications/i/item/measuring-health-and-disability-manual-for-who-disability-assessment-schedule-(-whodas-2.0)
  28. 28. EuroQol Research Foundation. EQ-5D-5L User Guide. 2019. [cited 2025 Apr 20]. Available from: https://euroqol.org/wp-content/uploads/2023/11/EQ-5D-5LUserguide-23-07.pdf
  29. 29. Mundt JC, Marks IM, Shear MK, Greist JH. The Work and Social Adjustment Scale: a simple measure of impairment in functioning. Br J Psychiatry. 2002;180:461–4. pmid:11983645
  30. 30. Paton M, Lane R. Clinimetrics: World Health Organization Disability Assessment Schedule 2.0. J Physiother. 2020;66(3):199.
  31. 31. Federici S, et al. World Health Organization Disability Assessment Schedule 2.0: An International Systematic Review. Disabil Rehabil. 2017;39(23):2347–80.
  32. 32. Garin O, Ayuso-Mateos JL, Almansa J, Nieto M, Chatterji S, Vilagut G, et al. Validation of the “World Health Organization Disability Assessment Schedule, WHODAS-2” in patients with chronic diseases. Health Qual Life Outcomes. 2010;8:51. pmid:20482853
  33. 33. Barbosa KSS, et al. Validation of the Brazilian version of the World Health Organization Disability Assessment Schedule 2.0 for individuals with HIV/AIDS. Cien Saude Colet. 2020;25(3):837–44.
  34. 34. Hanass-Hancock J, Myezwa H, Carpenter B. Disability and living with HIV: baseline from a cohort of people on long term ART in South Africa. PLoS One. 2015;10(12):e0143936. pmid:26625001
  35. 35. Myezwa H, Hanass-Hancock J, Ajidahun AT, Carpenter B. Disability and health outcomes - from a cohort of people on long-term anti-retroviral therapy. SAHARA J-J Soc Aspect HIV/AIDS. 2018;15(1):50–9. pmid:29635976
  36. 36. Kietrys D, Myezwa H, Galantino ML, Parrott JS, Davis T, Levin T, et al. Functional Limitations and disability in persons living with HIV in South Africa and United States: similarities and differences. J Int Assoc Provid AIDS Care. 2019;18. pmid:31109225
  37. 37. Kietrys DM, Parrott JS, Galantino ML, Davis T, Levin T, O’Brien KK. Self-reported disability in persons with HIV-related neuropathy is mediated by pain interference and depression. Phys Ther. 2020;100(12):2174–85. pmid:32914180
  38. 38. Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36. pmid:21479777
  39. 39. Devlin NJ, Shah KK, Feng Y, Mulhern B, van Hout B. Valuing health-related quality of life: An EQ-5D-5L value set for England. Health Econ. 2018;27(1):7–22. pmid:28833869
  40. 40. Cooper V, Clatworthy J, Harding R, Whetham J, Emerge Consortium. Measuring quality of life among people living with HIV: a systematic review of reviews. Health Qual Life Outcomes. 2017;15(1):220. pmid:29141645
  41. 41. Zhou T, Guan H, Wang L, Zhang Y, Rui M, Ma A. Health-related quality of life in patients with different diseases measured with the EQ-5D-5L: a systematic review. Front Public Health. 2021;9:675523. pmid:34268287
  42. 42. Tran BX, Ohinmaa A, Nguyen LT. Quality of life profile and psychometric properties of the EQ-5D-5L in HIV/AIDS patients. Health Qual Life Outcomes. 2012;10:132. pmid:23116130
  43. 43. UK Health Security Agency. Positive Voices 2022: survey report. 2024. [cited 2025 Apr 21]. Available from: https://www.gov.uk/government/publications/hiv-positive-voices-survey/positive-voices-2022-survey-report
  44. 44. Thandi G, Fear NT, Chalder T. A comparison of the Work and Social Adjustment Scale (WSAS) across different patient populations using Rasch analysis and exploratory factor analysis. J Psychosom Res. 2017;92:45–8. pmid:27998511
  45. 45. Scott W, Guildford BJ, Badenoch J, Driscoll E, Chilcot J, Norton S, et al. Feasibility randomized-controlled trial of online acceptance and commitment therapy for painful peripheral neuropathy in people living with HIV: The OPEN study. Eur J Pain. 2021;25(7):1493–507. pmid:33711209
  46. 46. UK Government. Definition of disability under the Equality Act. 2010. [cited 2025 Mar 30]. Available from: https://www.gov.uk/definition-of-disability-under-equality-act-2010
  47. 47. Government Analysis Function. Measuring disability for the Equality Act 2010 harmonisation guidance. 2019. Available from: https://analysisfunction.civilservice.gov.uk/policy-store/measuring-disability-for-the-equality-act-2010/
  48. 48. Office for National Statistics. Measuring disability: comparing approaches. 2019. Available from: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/disability/articles/measuringdisabilitycomparingapproaches/2019-08-06
  49. 49. Nunnally J, Bernstein I. Psychometric Theory. 2025/01/01 ed. Vol. 60. Cambridge University Press & Assessment; 1995.
  50. 50. Wyrwich KW, Nienaber NA, Tierney WM, Wolinsky FD. Linking clinical relevance and statistical significance in evaluating intra-individual changes in health-related quality of life. Med Care. 1999;37(5):469–78. pmid:10335749
  51. 51. Haley SM, Fragala-Pinkham MA. Interpreting change scores of tests and measures used in physical therapy. Phys Ther. 2006;86(5):735–43. pmid:16649896
  52. 52. Terwee CB, Bot SDM, de Boer MR, van der Windt DAWM, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42. pmid:17161752
  53. 53. Mont D. Measuring disability prevalence. 2007 [cited 2025 Mar 30]. Available from: https://documents1.worldbank.org/curated/en/578731468323969519/pdf/395080Disability0SP070601PUBLIC1.pdf
  54. 54. Andrews G, Kemp A, Sunderland M, Von Korff M, Ustun TB. Normative data for the 12 item WHO Disability Assessment Schedule 2.0. PLoS One. 2009;4(12):e8343. pmid:20020047
  55. 55. Hanass-Hancock J, Misselhorn A, Carpenter B, Myezwa H. Determinants of livelihood in the era of widespread access to ART. AIDS Care. 2017;29(1):32–9. pmid:27350256
  56. 56. Browner WS, et al. Designing clinical research. Lippincott Williams & Wilkins; 2022.
  57. 57. O’Brien KK, et al. Short-Form HIV Disability Questionnaire Sensibility, Utility, and Implementation Considerations in Community-Based Settings: A Mixed Methods Study. J Int Assoc Providers of AIDS Care. 2023;22.
  58. 58. Cieza A, et al. Rethinking disability. BMC Medicine. 2018;16(1):14.
  59. 59. Pensions, DFW. Family Resources Survey: financial year 2022 to 2023. 2025. Available from: https://www.gov.uk/government/statistics/family-resources-survey-financial-year-2022-to-2023/family-resources-survey-financial-year-2022-to-2023
  60. 60. O’Brien KK, Hanna S, Solomon P, Worthington C, Ibáñez-Carrasco F, Chan Carusone S, et al. Characterizing the disability experience among adults living with HIV: a structural equation model using the HIV disability questionnaire (HDQ) within the HIV, health and rehabilitation survey. BMC Infect Dis. 2019;19(1):594. pmid:31286891
  61. 61. Lu C-B, Liu P-F, Zhou Y-S, Meng F-C, Qiao T-Y, Yang X-J, et al. Musculoskeletal pain during the menopausal transition: a systematic review and meta-analysis. Neural Plast. 2020;2020:8842110. pmid:33299396
  62. 62. Kelly C, et al., Health-related quality of life of adults with HIV in England, Wales, and Scotland: findings from Positive Voices 2022. In: British HIV Association (BHIVA) Spring Conference. Birmingham: HIV Medicine; 2024. pp. 21–111.
  63. 63. UK Health Security Agency. HIV Action Plan monitoring and evaluation framework 2023 report. 2025. Available from: https://www.gov.uk/government/publications/hiv-monitoring-and-evaluation-framework/hiv-action-plan-monitoring-and-evaluation-framework-2023-report
  64. 64. Su TT, et al. Trajectories of disability and influence of contextual factors among adults aging with HIV: insights from a community-based longitudinal study in Toronto, Canada. medRxiv. 2024.
  65. 65. World Health Organization. Global report on health equity for persons with disabilities. 2022. Available from: https://www.who.int/publications/i/item/9789240063600
  66. 66. Disability Unit Office for Equality and Opportunity. Public perceptions and attitudes towards disabled people in the UK. 2026.
  67. 67. Sabariego C, Lee L, Bickenbach J, Chatterji S. Estimating disability prevalence in population surveys: an exploratory study using national surveys carried out in Ethiopia, Uganda, Tanzania and USA. Disabil Rehabil. 2025;47(16):4212–9. pmid:39699121
  68. 68. Hendriks A. UN Convention on the rights of persons with disabilities. Eur J Health Law. 2007;14(3):273–80. pmid:18229764
  69. 69. Weiland S, et al. The 2030 agenda for sustainable development: transformative change through the sustainable development goals? Cogitatio Press; 2021. pp. 90–5.
  70. 70. De Groote W, Côté P, Wong JJ, Hogg-Johnson S, Chen T, Battistella L, et al. Development of a World Health Organization indicator and corresponding questions to measure effective coverage of rehabilitation. EClinicalMedicine. 2025;85:103317. pmid:40686681
  71. 71. Anto A, Basu A, Selim R, Eisingerich AB. Women’s menopausal experiences in the UK: a systemic literature review of qualitative studies. Health Expect. 2025;28(1):e70167. pmid:39888228
  72. 72. Castillo-Mancilla JR, Cohn SE, Krishnan S, Cespedes M, Floris-Moore M, Schulte G, et al. Minorities remain underrepresented in HIV/AIDS research despite access to clinical trials. HIV Clin Trials. 2014;15(1):14–26. pmid:24518211