Dental service utilisation and perceptions amongst Indian rural children with intellectual and developmental disabilities
Philcy Philip, Mathew lim, Gregory Armstrong, Nathan Grills

TL;DR
This study explores dental care access and perceptions among children with disabilities in rural India, finding low dental visits and perceived need due to factors like lack of information and clinic proximity.
Contribution
The study identifies specific factors influencing dental service utilisation and perceived need for care in rural Indian children with intellectual and developmental disabilities.
Findings
Only 23% of participants reported dental visits, and 29% perceived a need for dental care.
Factors like disability type, child’s age, information availability, and clinic proximity significantly influenced dental visits.
Caregiver perception of dental care quality affected perceived need for care.
Abstract
The present study investigated the factors affecting dental visits and the perceived need for dental care amongst children and adolescents with intellectual and developmental disabilities (IDD) living in rural India. A cross-sectional study was conducted using a convenience sample of 160 caregivers, of whom 79% were mothers with a mean age of 32 ± 8.67 years, caring for children with a mean age of 7.45 ± 3.72 years. The caregivers completed a questionnaire that explored various factors affecting dental service utilisation and perceived need for dental care. Indicators of influencing factors were adopted from validated instruments assessing healthcare access and including demographic and socioeconomic variables. Simple univariable logistic regression models were fitted to determine the odds of dental visits and perceived dental need. Twenty-three per cent of participants reported…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
- —Population Health Investing in Research Students' Training
- —University of Melbourne
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDental Health and Care Utilization · Oral microbiology and periodontitis research · Down syndrome and intellectual disability research
Introduction
The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, defines intellectual and developmental disability (IDD) as a neurodevelopmental disorder that begins during the developmental period, which affects cognitive functioning and adaptive behaviour (APA 2013). Adaptive impairments are noted when the child fails to meet social and cultural standards, whilst standardised intelligence tests confirm cognitive limitations. In addition, symptoms such as learning delay and poor problem-solving skills confirm the diagnosis (Girimaji et al. 2020). However, diagnostic criteria may vary internationally; for example, India’s National Sample Survey defines IDD in children under 18 as lacking comprehension, communication, daily living skills, and problem-solving ability (National Sample Survey 2003).
Children with IDD have a higher prevalence of oral diseases than those without IDD (Anders and Davis 2010; Ward et al. 2019; Wilson et al. 2019; Zhou et al. 2017). A main reason is that cognitive and adaptive impairment can affect oral health, as neurodevelopmental deficits can limit physical abilities and manual dexterity, making oral care, such as using a toothbrush, difficult, whilst cognitive impairments reduce their ability to comply with oral hygiene instructions (Ziegler and Spivack 2018). This leads to poor oral hygiene, increasing the risk of oral diseases. Additional factors such as parafunctional habits, altered dental morphology, and multiple medications can also affect oral health, especially by reducing saliva production and its protective functions (Cooper et al. 2015; Xavier et al. 2013). Overall, children and adolescents with IDD exhibit an increased susceptibility to oral diseases compared to their neurotypical peers, primarily due to inherent functional and cognitive impairment.
In addition, poor oral health amongst children with IDD can be attributed to the lack of universal access to dental care, which is affected by individual, organisational, and system-level barriers (Da Rosa et al. 2020). Lack of bodily awareness, altered pain response, limited communication abilities, or atypical expressions may affect an individual with IDD’s ability to convey oral issues (Gilbert-MacLeod et al. 2000). As a result, oral health issues may go unrecognised or misinterpreted (Alborz et al. 2005). Organisational and system-based challenges, such as limited service availability and limited practitioner willingness or preparedness to treat individuals with IDD, continue to impede access to care (Lim et al. 2021; Ningrum et al. 2021). These challenges are compounded by a global shortage of training programmes in special care dentistry, further limiting service provision for this population.
In 2016, the Indian government ratified the Right to Persons with Disability Act, which guarantees equal and barrier-free access to health care for people with disabilities (Department of Empowerment of Persons with Disabilities 2016). However, many studies conducted in India (Mehta et al. 2024; Philip et al. 2024b; Philip et al. 2024c) have reported poorer oral health and fewer dental visits amongst children with IDD than their peers (Ningrum et al. 2021; Philip et al. 2024a). These findings underscore a disparity in access to dental care in India. With 1–3% of India's population having an intellectual disability (Russell et al. 2022), and with their increased susceptibility to poor oral health, the result is a substantial oral health burden on individuals and communities (Mehta et al. 2024).
Exploring dental service utilisation in rural India is imperative as a considerable proportion of people with disabilities reside there (Rashmi and Mohanty 2024). Remoteness has been shown to negatively affect dental visits and oral health outcomes (Sawhney et al. 2023); however, most dental surveys amongst individuals with IDD in India have focussed on urban residents (Philip et al. 2024a). Although the differences in distribution of individuals with IDD between urban and rural areas are not stark, rural areas lack adequate facilities, identification mechanisms, and referral pathways (Lakhan et al. 2015). Dental awareness has been traditionally low in these areas (Kapoor et al. 2023). Fewer dentists practice in rural areas than in urban areas, and most rural dentists are non-specialists, restricting the scope of services for individuals with IDD (Tandon 2004). Therefore, access is likely to be further restricted in rural areas, increasing the risk of dental diseases.
Understanding the factors affecting access to dental care for children with IDD in rural areas is essential to developing interventions to improve care. Thus, the present study aimed to investigate the determinants and patterns of dental care utilisation and perceived dental needs amongst individuals with IDD aged 2–19 years living in rural India.
Methods
Study area and context
Bengaluru is the capital city of the Karnataka state, located in the south of India with a population of 18 million. Bengaluru is divided into Bengaluru urban and Bengaluru rural based on population density and economic activity. Rural Bengaluru is less densely populated (431/km^2^) than the urban Bengaluru (4381/km^2^), with much of the population involved in agricultural activities. Four subdistricts (taluks) form rural Bengaluru with a total size of 2298 sq. km (Bangalore Rural District, 2025). The Government of Karnataka initiated District Disability Rehabilitation Centres (DDRCs) in rural Bengaluru consistent with requirements under the Rights for Persons with Disabilities Act 2016 (DDRC Scheme: Department of Empowerment of Persons with Disabilities, 2019); DDRCs focus on rural or semi-urban populations, providing identification, early intervention, and therapeutic services for individuals with IDD.
Study design and data collection
A cross-sectional survey was conducted amongst caregivers of children with IDD attending the DDRCs in various rural suburbs of Bengaluru whose diagnosis had been confirmed by the in-house psychologist. Convenience sampling for data collection was used, as a comprehensive list of children with IDD was unavailable from which to obtain a probability-based sample of carers. Paper-based questionnaires were distributed to those who consented to our invitation to participate; DDRC staff, field workers, and the primary investigator distributed the questionnaire. All questions were in Kannada and English to accommodate caregivers’ language preferences and ensure clarity in responses. Assistance was provided by the DDRC staff for those with reading or writing difficulties. Questionnaires were distributed at the DDRCs, DDRC follow-up camps, and to families of children with IDD during home visits. Data collection occurred for 4 months starting from August of 2023. A total of 160 caregivers of children and adolescents with IDD responded to our invitation.
Eligibility criteria
- The caregiver should be registered with the DDRC.
- The child or adolescent in caregiver’s care should be diagnosed with any of these conditions: intellectual disability (ID), autism spectrum disorder (ASD), cerebral palsy (CP), or other neurodevelopmental disorders (global developmental delay, speech and language delay, or attention-deficit/hyperactivity disorder and Down syndrome) (National Sample Survey 2003).
- The child or adolescent in the caregiver’s care should be between the ages of 2 and 19 years.
- The caregiver should willingly provide consent and be cognitively able to answer questions.
Ethics approval was obtained from the Human Research Ethics Committee, the University of Melbourne (2023-25495-37,142-4) and the Bangalore Baptist Hospital (BBH/IRB/2023/002).
Measuring tool and framework used
Validated questions were selected from published questionnaires (Cu et al. 2021; Haggerty and Levesque 2015; Lakshmi et al. 2019; Nelson et al. 2011; Waterworth et al. 2022). The questionnaire used was developed based on protocols recommended by De Vaus (2014), which involved three steps: clarification of concepts, identifying pre-existing indicators, and evaluating indicators. The questionnaire was pretested amongst 10 caregivers and reviewed by authors (NG, GA, and ML) before distribution. This resulted in rewording/modification or exclusion of some of the questions and restructuring the order of questions. Although the questionnaire was revised to improve clarity and relevance, the updated version was not retested due to logistical and resource constraints.
Variables measured
The questionnaire was used to collect data on behaviour relating to dental visits and various attributes influencing those visits. It consisted of three sections, investigating (1) demographic variables, (2) number of dental visits, and (3) perceived need. Each section had follow-up questions to explore reasons and features. A dental visit was defined as any time the caregiver took their child to a dental clinic within the past 12 months. The perceived need for a dental visit was determined by whether the caregiver felt their child required dental care but could not avail themselves of care.
The follow-up questions (16 close ended with Yes/No options or multiple choice) for those who visited focussed on attributes that influenced dental visits, such as reasons for seeking dental care, the frequency of visits, satisfaction with the services received, types of dental clinics visited, challenges in reaching the clinic, time taken to get there, the child’s cooperation, waiting times, attitudes of the dentists and staff, facilities available at the clinic, comprehension of the information provided by the dentists, and whether the dentists arranged follow-up appointments.
Additionally, the questionnaire explored the reasons for not visiting a dentist and perceived needs through questions that offered multiple-choice answers alongside an open-ended option. General inquiries examined knowledge and attitudes, including the caregiver’s confidence in identifying dental issues in their child, their perspective on preventive oral care, information received about oral health, and the number of clinics available in their vicinity. These aspects were measured using ordinal and nominal response types.
Two questions addressed caregivers’ impressions of the quality of dental care and the difficulty of accessing a dental clinic, using an interval-level response scale from one to ten, with ten indicating the greatest difficulty and best quality. The questionnaire included information regarding the type of disability and its severity, which was subsequently reconfirmed by the in-house psychologist.
The questionnaire also examined parents’ perceptions of their child’s oral health, serving as a proxy for normative need. Parents who rated their child’s dental health as average to very poor were categorized as having high needs, whereas those who rated it as good to excellent were classified as having low needs.
Statistical analysis
The initial analysis was descriptive to describe dependent and independent variables, followed by bivariate analysis to describe the prevalence of dental visits and perceived need across various demographics and covariates. Follow-up questions were treated as independent variables and expressed and perceived need as dependent variables. Simple logistic regression models were fitted to describe the unadjusted odds ratio, p values, and 95% confidence intervals of the various independent variables on expressed and perceived need. STATA 18, (StataCorp. 2023) was used for the statistical analysis.
Results
Description of participants
One hundred and sixty caregivers of children and adolescents with IDD responded to the invitation; three caregivers did not meet the inclusion criteria. Most caregivers were parents or a close relative; 80% were female, with a mean age of 32.15 ± 8.67 years, and 72% had completed secondary education (Table 1). Fifty-six per cent of children were male, with a mean age of 7.45 ± 3.72 years. Thirty-eight per cent had intellectual disabilities (ID) as their primary diagnosis, whilst 30% had other neurodevelopmental disorders, and 24% had CP. The severity of the disability was mild in 47% and severe in 17% of children. The majority resided in various taluks of rural Bengaluru. Sixty per cent felt their child’s dental care needs were low.Table 1. Participant and child demographic, self-assessed dentition status, attitude towards dental care, information received regarding child’s oral care, distribution of clinics and self-perception regarding the quality of dental careIndependent variablesn (%)Gender of carer* Male31 (19.8) Female125 (79.6)Childs gender* Male84 (56.3) Female65 (43.6)Childs age* 1–5yrs48 (30.7) 6–11yrs88 (56.4) 12–19yrs20 (12.8)Type of disability* ID with and without other disorders57 (37.5) ASD with and without other disorders14 (9.2) CP with and without other disorders36 (23.7) Other neurodevelopmental disorders (ADHD, GDD, SLD, DS)45 (29.6)Severity of disability Mild55 (47.4) Moderate41 (35.3) Severe20 (17.2)Taluk (Subdistrict) Surrounding taluks32 (21.0) Bengaluru rural120 (78.9)Caregivers education < Primary education38 (25.1) Primary and secondary education92 (61) > Secondary Education21 (13.9)Breadwinners’ occupation Unskilled & unemployed30 (20.2) Clerical, shop-owner/farmer35 (23.6) Semi-skilled36 (24.3) Semi-professional & skilled47 (31.7)Perceived child’s dental health* High need62 (39.7) Low need94 (60.3)Do you feel confident you can identify dental issues in your child?* Always85 (55.6) Most of the time38 (24.8 Sometimes to Never30 (19.6)How much do you agree that dental disease can be prevented?* Strongly agree35 (23.5) Agree105 (70.5) Disagree to don’t know9 (6.0)Have you received any information regarding caring for your child’s teeth?* No85 (55.9) Yes67 (44.1)What best describes the number of clinics in your neighbourhood?* Few clinics around30 (21.1) Some to many clinics around23 (16.2) None for many km89 (62.7)Mean (SD)How much would you rate the overall quality of dental care in your community (1 = very poor, 10 very good)7.95 (± 2.13)^*^Total number of participants is short of 157 due to missing data
A majority of caregivers (55.6%) felt confident in identifying dental needs in their child’s teeth. More than half had received no information regarding dental care, and 63% mentioned very few nearby clinics.
Prevalence of dental visits and perceived needs and related findings
The prevalence of dental visits was 23% in the last 12 months, whilst 29% needed dental care but could not visit (Table 2). Among those who utilised dental services, 81% were either for consultation or screening (Appendix 1), 45% visited only in an emergency, and the rest more regularly, i.e. 27% once a year and 18.8% once in 6 months. Travelling to the nearest clinic took more than 30 min in 65% of those with dental visits. The mean score of ease of access to a clinic score was 5.42 ± 3.3 out of 10. Most reported being satisfied with care (88%) and had minimal barriers to accessing dental care (supplementary table). The top reason for not visiting a dental clinic was the lack of need for dental care (50.4%) (Fig. 1 Appendix). The top three reasons reported by those who perceived the need for dental care but could not were distance from the clinic (31.7%), lack of time (22%), unawareness of what to do (19.5%) and cost (17.1%) (Fig. 2 Appendix).Table 2. Distribution of outcome variables: dental visits and perceived need (n%)N 157n (%)Dental visit in past 12 months (expressed need) No121 (77.1) Yes36 (22.9)Perceived the need to visit a dentist but could not in the past 12 months (perceived need) * No103 (71.5) Yes41 (28.5)^*^Total number of participants is short of 157 due to missing data
Factors affecting dental visits
In unadjusted regression analyses, there were higher odds of dental visits in the 6–11-year-olds (OR 4.87; 95% CI 1.59, 14.91) compared to 1–5-year-olds (Table 3). Similarly, there were relatively higher odds of dental visits amongst children with CP (OR 3.34; 95% CI 1.32, 8.48) than those with ID. Odds of dental visits were higher amongst those who perceived poor oral health in their child (OR 3.67; 95% CI 1.68, 8.02) than those with good oral health. The availability of information regarding dental care (OR 3.51; 95% CI 1.56, 7.90) and the number of clinics in the vicinity improved the odds of dental visits (OR 4.18; 95% CI 1.56, 11.15). Time taken for travel and distance were issues, and most respondents expressed moderate difficulty getting to the dental clinic.Table 3. Prevalence of dental visit based on independent variables with unadjusted odds ratio and 95% Confidence intervalIndependent variablesDental visits, n (%)Crude OROR (95%CI)p valueGender of carer Male7 (22.6)1.00– Female28 (22.4)0.99 (0.39,2.54)0.983Childs gender Male17 (20.2)1.00– Female17 (26.2)1.39 (0.65,3.00)0.395Childs age1–5 years4 (8.3)1.006–11 years27 (30.7)4.87 (1.59,14.91)0.00612–19 years5 (25)3.60 (0.86,15.47)0.077Type of disability ID with and without other disorders11 (19.3)1.00– ASD with and without other disorders1 (7.1)0.32 (0.04,2.7)0.298 CP with and without other disorders16 (44.4)3.34 (1.32,8.48)0.011 Other neurodevelopmental disorders (ADHD, GDD, SLD, DS)6 (13.3)0.64 (0.22,1.9)0.424Severity of disability Mild10 (18.2)1.00 Moderate5 (12.2)0.62 (0.19,1.99)0.427 Severe5 (25)1.50 (0.44,5.09)0.516Taluk (Subdistrict) Surrounding taluks6 (18.8)1.00 Bengaluru rural29 (24.2)1.38 (0.52,3.68)0.519Caregivers education < Primary education11 (28.9)1.00 Primary and secondary education15 (16.3)0.48 (0.19,1.16)0.105 > Secondary education9 (42.9)1.84 (0.60,5.60)0.282Breadwinners’ occupation Semi-professional and skilled7 (14.9)1.00 Unskilled and unemployed7 (23.3)1.7 (0.54,5.58)0.352 Clerical, shop-owner/farmer6 (17.1)1.18 (0.36,3.88)0.783 Semi-skilled11 (30.6)2.51 (0.86,7.34)0.092Perceived child’s dental health Low need13 (13.8)1.00 High need23 (37.1)3.67 (1.68,8.02)0.001Confident identifying dental issues Always21 (24.7)1.00 Most of the time8 (21.1)0.81 (0.32,2.04)0.660 Sometimes to never6 (20)0.76 (0.27,2.11)0.602Dental disease can be prevented Strongly agree8 (22.9)1.00 Agree23 (21.9)1.05 (0.42,2.64)0.906 Disagree to Don’t know4 (44.4)0.37 (0.08,1.71)0.204Received information regarding oral care No11 (12.9)1.00 Yes23 (34.3)3.51 (1.56,7.90)0.002Number of clinics in your neighbourhood None for many km16 (17.9)1.00 Few clinics around5 (16.7)0.91 (0.30,2.74)0.871 Some to many clinics around11 (47.8)4.18 (1.56,11.15)0.004Rating of overall quality of dental careMean (SD)7.96 (± 2.17)1.00 (0.84,1.19)0.960^*^p < 0.05 significant
Factors affecting perceived dental need
In unadjusted regression analyses, factors that affected whether carers perceived a need for dental care but could not visit were the child’s age, type of disability, the prevalence of dental diseases, the availability of information regarding dental care, and caregivers’ impression of the quality of dental care (Table 4). Carers of children with disabilities aged 6–11 had higher odds (OR 5.12; 95% CI 1.82, 14.41) of perceiving the need for dental care than children aged 1–5. Similarly, children with CP (OR 2.66; 95% CI 1.07, 6.61) had increased odds of perceived need compared to those with ID. The odds of perceived need were lower amongst those with higher dental needs in their child than those with low need (OR 0.2; 95% CI 0.09, 0.46). In contrast, those who received information regarding dental care had higher odds of perceived need (OR 3.31; 95% CI 1.55, 7.06) than those who did not receive information regarding dental care. Caregiver impression regarding the quality of dental care affected perceived need; there was a 0.79 (95% CI 0.67, 0.94) decrease in odds of perceived need with every one-degree increase in score regarding the quality of dental care.Table 4. Prevalence of perceived need for dental visits based on independent variables with unadjusted odds ratio and 95% Confidence intervalIndependent variablesPerceived need, n (%)Crude OROR (95%CI)p valueGender of Carer Male9 (30)1.00 Female31 (27.4)0.88 (0.36,2.13)0.781Childs gender Male22 (27.5)1.00 Female17 (27.4)0.99 (0.23,0.62)0.991Childs age 1–5 years5 (10.9)1.00 6–11 years30 (38.5)5.12 (1.82,14.41)0.002 12–19 years6 (30.0)3.51 (0.92,13.32)0.065Type of disability ID with and without other disorders13 (24.1)1.00 ASD with and without other disorders2 (18.2)0.70 (0.13,3.67)0.674 CP with and without other disorders16 (45.7)2.66 (1.07,6.61)0.036 Other neurodevelopmental disorders (ADHD, GDD, SLD, DS)10 (25)1.05 (0.41,2.72)0.918Severity of disability Mild9 (17)1.00 Moderate11 (28.2)1.92 (0.71,5.22)0.201 Severe7 (36.8)2.85 (0.88,9.24)0.081Taluk (Subdistrict) Surrounding taluks10 (34.4)1.00 Bengaluru Rural29 (25.9)0.66 (0.27,1.59)0.359Caregivers’ Education < Primary education8 (21.6)1.00 Primary and secondary education23 (27.7)1.38 (0.55,3.48)0.483 > Secondary education8 (44.4)2.9 (0.86,9.77)0.086Breadwinners’ occupation Semi-professional and skilled16 (35.6)1.00 Unskilled & unemployed9 (31.0)0.82 (0.30,2.21)0.688 Clerical, shop-owner/farmer6 (19.4)0.44 (0.15,1.28)0.131 Semi-skilled6 (19.4)0.44 (0.15,1.28)1.131Perceived child’s dental health Low need28 (46.7)1.00 High need13 (15.7)0.21 (0.09,0.46)** < 0.001**Confident identifying dental issues Always26 (32.9)1.00 Most of the time8 (22.9)0.60 (0.24,1.51)0.282 Sometimes to never7 (24.1)0.65 (0.25,1.71)0.382Dental disease can be prevented Strongly agree12 (37.5)1.00 Agree24 (24.7)0.54 (0.23,1.28)0.166 Disagree to Don’t know3 (33.3)0.83 (0.17,3.96)0.819Received information regarding oral care No15 (18.3)1.00 Yes26 (42.6)3.31 (1.55,7.06)0.002Number of clinics in your neighbourhood None for many km10 (35.7)1.00 Few clinics around8 (40)1.2 (0.37,3.91)0.76 Some to many clinics around21 (24.4)0.58 (0.25,1.20)0.25Rating of overall quality of dental careMean (SD)7.10 (± 2.23)0.79 (0.67, 0.94)0.007^*^p < 0.05 significant
Discussion
The present study highlights that expressed needs (i.e. actual dental visits in the past 12 months) and unexpressed needs (i.e. a perceived need for a dental visit) were low amongst caregivers of children and adolescents with IDD in rural Bengaluru. Factors that affected dental visits included the child's age, type of disability, caregivers’ perception of their child’s dental need, and the availability of information on oral care. In addition, the distribution of clinics in the vicinity affected dental visits. Unexpressed or perceived needs were also affected by the age of the child, type of disability, need for dental care, and availability of information regarding care. Other covariates that affected unexpressed need included the caregivers' impressions of the quality of dental care in the community. Most dental visits were need-based.
The prevalence of dental visits for IDD was 23%, substantially lower than reported previously in urban Bengaluru amongst children with DS (57%) (Sabbarwal et al. 2018) and children with ASD (53%) (Richa et al. 2014). The difference indicates a disparity in access in rural areas, which may be due to the disproportionately low distribution of dentists in rural areas, as the relative odds of dental visits were higher in areas with a good distribution of dentists. And less than half (48%) of the participants lived in areas with good dentist distribution. The finding concurs with other reports regarding the low distribution of dentists in rural India (Tandon 2004), and probably indicates a correlation between dental care demand and the density of dental practices in the vicinity. Sabbarwal and colleagues reported that, amongst children with DS, the odds of dental visits increased with improved accessibility. Thus, enabling more dentists to practice in rural areas may improve dental attendance (ref).
Only a quarter of caregivers visited a dentist or reported a perceived need for dental care for their child, indicating a low demand for dental care. Whilst previous research has shown that region, parental education, family structure, and household income influence dental attendance (Sawhney et al. 2023), none of these variables affected dental visits or perceived need in this cohort. Instead, the availability of dental care information was an important determinant of both dental visits and felt need. Similar findings were reported amongst caregivers of children with DS in Bengaluru, where those who received oral health information were more likely to utilise oral health services (Sabbarwal et al. 2018). Providing caregivers with information about preventive oral care has been shown to improve visit routines and reduce problem-based dental visits (Camargo et al. 2012).
Despite the importance of accessible information, we were unable to identify any printed or online material regarding dental care, published in India or in local languages that specifically supports caregivers of children with intellectual disabilities. This aligns with previous reports highlighting the limited availability of information on oral care for caregivers (Ummer-Christian et al. 2018). Consequently, opportunities to enhance awareness—and thereby improve dental attendance—remain restricted in the Indian context. Improving caregivers’ knowledge of preventive dental care through improved access to culturally and linguistically appropriate information, alongside establishing regular dental screenings at dental clinics, DDRCs, and other early intervention centres, may facilitate early identification of oral diseases and promote timely care.
Caregivers’ perception of dental care quality significantly influenced perceived need. There are very few quality checks or standards for dental care for those with IDD in India. The NABH and the DCI have recommendations (NABH 2023; DCI 2017), but they are not mandatory. They recommend providing wheelchair access to clinics; however, most rural clinics cannot meet these requirements, as clinic spaces are rented and may not be disability inclusive. Enabling dentists to facilitate disability care and regular quality audits could improve the perceived need for care.
A strength of the present study is the use of composite indicators: frequency of visits, reasons for visits, and whether the patient visited a regular dental practitioner (Lopez Silva et al. 2021). Most studies exploring access to dental care focus on service utilisation but overlook the reasons behind limited utilisation. In addition, very few studies have examined perceived need amongst children with IDD in rural India (Philip et al. 2025), and our study is the first published study to explore this parameter in India. However, limitations include the sample size and non-probability sampling, which may affect generalisability. Furthermore, given that DDRCs were the most effective way of recruiting, we may have under-sampled those with severe disabilities or those who may have had difficulty accessing DDRCs. Secondly, oral health needs were self-evaluated rather than validated by the clinician, and such approaches tend to underestimate dental needs (Hennequin et al. 2000). A final drawback is the present study’s inability to account for confounders due to the small sample size; hence, findings are unadjusted estimates.
Conclusion
Our findings highlight factors that affect dental visits and the perceived need for dental care amongst children and adolescents with IDD in rural India. Limited access to oral health information, along with concerns about the quality of available services, affected their perceived need for care. Meanwhile, the availability of clinics in the vicinity and the type of disability strongly affected dental visits. Nevertheless, both dental attendance and the perceived need for dental care need to improve, underscoring the need for targeted strategies to strengthen service utilisation. Improving caregivers’ oral-health knowledge, expanding the availability of disability-inclusive dental services, and establishing minimum quality standards for dental clinics may enhance access to timely and appropriate care. Such measures are essential for reducing oral-health disparities and supporting better outcomes for children with IDD in rural Bengaluru.
Supplementary Information
Below is the link to the electronic supplementary material.Supplementary file1 (DOCX 56 KB)
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Department of Empowerment of Persons with Disabilities. RPWD ACT 2016.pdf. 2016: http://disabilityaffairs.gov.in/upload/uploadfiles/files/RPWD%20ACT%202016.pdf
- 2Waterworth CJ, Marella M, O’Donovan J, Bright T, Dowell R, Bhutta MF. Barriers to access to ear and hearing care services in low- and middle- income countries: a scoping review. Glob Public Health. 2022;1–2510.1080/17441692.2022.205373435319345 · doi ↗ · pubmed ↗
- 3Dental Council of India. 2017. Available from: https://dciindia.gov.in/College Search.aspx?Col Name=&Course Id=1&Spl Id=0&State Id=&Hospital=&Type=0&Status=--Select
- 4DDRC Scheme: Department of Empowerment of Persons with Disabilities. 2019: http://disabilityaffairs.gov.in/content/page/ddrc-scheme.php
- 5Bangalore Rural District , Government of Karnataka | City of Silk production | India. Bangalore Rural District. 2025: https://bangalorerural.nic.in/en/
