Study design and sites
This cross-sectional study was conducted from February to April 2018 as a baseline survey of a randomized controlled trial (Clinical Trial Number: ISRCTN15177479) aiming to improve the oral health of children living with HIV at the National Paediatric Hospital, Phnom Penh, Cambodia. Details of the trial have been published elsewhere[15]. This hospital is a tertiary referral facility that provides comprehensive care and treatment for children from across the country, including HIV and dental services, and is a major pediatric HIV clinic in Phnom Penh that provides ART. The children living with HIV receive a consultation and collect their medication every two months. Dental care is provided free of charge to children living with HIV in this hospital.
Study population
The target population in this study was children living with HIV and their caregivers. In the case of older children, who visited the hospital and self-administered their medication, we interviewed only the children. The children were included if they were aged 3–15 years on the day of data collection, had a patient identification number at the study site hospital, and were under ART. They were selected from the registry of hospital’s ART clinic using an age-stratified random sampling method. Randomization was performed using a computerized algorithm by a data analyst, who was not a primary member of the research team. The caregivers were eligible only if they were ≥18 years old and were the primary caregiver of the child.
Sample size
The sample size for children was calculated based on the number required for the following intervention phase. The sample size set in the study protocol was calculated according to the decayed, missing, or filled permanent teeth (DMFT) score collected in a previous survey among 8–15-year-old children living with HIV [15]. However, after the completion of the baseline survey among the 3–15-year-old children, we obtained accurate DMFT scores for the study population. Therefore, we revised the sample size based on the following indicators: increment of DMFT, 17%; baseline DMFT of children living with HIV, 4.0 (standard deviation [SD] = 3.6); power, 80%; alpha, 5%. The final sample size required was 199 for each group. However, because of the improvement in the prevention of mother-to-child transmission in Cambodia, the number of children living with HIV aged <8 years was low, and we could not recruit the required sample size. Therefore, 160 children were recruited in each group. In this study, both intervention and control groups of children living with HIV were examined, and thus, in total, 320 children were expected to participate.
Data collection
Two teams, each consisting of one dentist and one dental assistant, collected data on the children’s dental caries status. To ensure accuracy of the examination, one of the dentist’s researchers provided a one-day training session on how to assess the dental status of patients using guidelines from the World Health Organization [16]. The reproducibility of intra-examiner and inter-examiner evaluations was assessed. The dentists checked for DMFT in 10 children and compared the results between the two teams. The consistency rate of the results was >85%. These data were not included in the main data collected. The total number of decayed, missing, or filled permanent teeth was calculated as the DMFT score, and the decayed, missing, or filled deciduous teeth (dmft) score was obtained for deciduous teeth. The overall DMFT and dmft values were evaluated separately and together by the sum of both scores. The severity of dental caries was expressed based on DMFT/dmft = 0 (no dental caries) and DMFT/dmft >0 (the presence of dental caries). If permanent and deciduous teeth were found to occupy the same tooth space, the status of the permanent tooth was recorded according to the World Health Organization guidelines [16]. All dental data were collected in the dental unit of the hospital using disposable mouth mirrors.
The research assistants collected clinical data from the HIV clinic’s registered documents, including age, latest viral load within 12 months, ART regimen, and duration of ART. Six research assistants interviewed the caregivers and older children on the same day of dental data collection using a structured questionnaire, including the child’s adherence to antiretroviral drugs developed based on previously published questionnaires [17, 18]. They received one-day training from the first author to clarify and improve their understanding of the questionnaire. For the adherence question, if the drugs were self-administered by the child, we interviewed the child to obtain accurate information. The question was, “How would you rate your/your child’s adherence over the past 30 days?” The response choices were very poor, poor, fair, good, very good, or excellent [17].
Statistical analyses
The data were analyzed descriptively to assess the distribution of the variables. Subsequently, dental caries were classified into dental caries in permanent teeth, dental caries in deciduous teeth, and dental caries in all teeth. We assessed the association of viral load, the dependent variable, with dental caries, age, sex, duration of ART, and adherence to antiretroviral drugs. The age, sex, and duration of ART variables were included following the model used in a previous study that examined the association between DMFT and CD4+ cell count [8]. The variable of adherence to antiretroviral drugs was also included because it is related to viral load in most cases [19]. For all participants, the independent variables were first examined for association with viral load (“detected” or “undetected”), defined with a cut-off point of <40 copies/mL according to the detection limit of the tests. We also examined the association with viral non-suppression, 1000 copies/mL, which is the threshold for treatment failure [20] among only those who had a detectable viral load. For bivariate analyses, we used the Chi-square test or Fisher’s exact test, if a count in one cell was <5, for categorical variables. We used Student’s t-tests for continuous variables. Further, we applied the multiple logistic regression analysis and p < 0.05 was used to indicate statistical significance. All data analyses were performed using IBM SPSS, version 24.0 (SPSS Inc., Chicago, IL, USA).