Keywords
Early childhood development, Dominican Republic, Monitoring, Screening
This article is included in the Health Services gateway.
This article is included in the Developmental Psychology and Cognition gateway.
Early childhood development, Dominican Republic, Monitoring, Screening
The Dominican Republic confirmed its commitment to achieving the United Nation’s sustainable development goal 4.2 for 2030 to guarantee that children are ready for primary education by offering quality early childhood services, including care and early education (United Nations, 2015). One of this goal’s indicators is “[the] proportion of children aged 24-59 months who are developmentally on track in health, learning, and psychosocial well-being, by sex” (UNESCO UIS, n.d., para. 1). Although this indicator is conceptually straightforward, and numerous efforts have been conducted to establish a global methodology for measuring it, some challenges associated with determining cut-off points for early childhood development remain (Daelmans et al., 2017; Richter et al., 2017).
First, high-income countries' screening tools might translate poorly to low- and middle-income countries. This poses the risk of either underestimating or overestimating childhood development, which in turn precludes making accurate, evidence-based decisions regarding early childhood interventions and resource allocation (Gladstone et al., 2008; Sabanathan et al., 2015). The second challenge is the need for more funding for monitoring systems in low- and middle-income countries, which translates into needing more sufficiently qualified personnel to conduct periodic childhood development screenings (Lokuketagoda et al., 2016). And third, there is a critical need to obtain a large pool of data from developing children to identify those at risk for developmental delay (Lokuketagoda et al., 2016), which is particularly challenging in low- and middle-income countries (Richter et al., 2017).
In Latin America and the Caribbean, childhood development measurement has attracted attention, evidenced by the creation of the Regional Network for Measuring Childhood Development (REMDI) (Interamerican Dialogue, 2020). This international network of specialists is dedicated to promoting national measurements of childhood development to obtain data for decision-making and comparison between and within countries. Since the year 2000, the Dominican Republic has collected data on childhood development by participating in a series of Multiple Indicator Cluster Surveys (MICS), a household survey methodology designed by UNICEF that analyzes the situation of women and children across the world. The instrument collects data on children’s health, education, protection, and environment (such as sanitation), among other variables. The Dominican Republic participated in MICS2 (Molina Achécar and Polanco, 2001), MICS5 (ONE and UNICEF, 2016), and MICS6 (ONE and UNICEF, 2021) survey rounds with an evolving early childhood development measurement (Loizillon et al., 2017).
The latest data from 2019 reported that 87.1% of Dominican children meet the minimum development indicators. Data generated by MICS have been useful for guiding the advocacy and system-strengthening plans of early childhood development and children’s rights institutions, including sustainable investments in the multi-year governmental planning for 2020-2024. In addition, the MICS data have been used to create predictive models that quantify the impact of multiple sociodemographic and psychosocial factors in childhood development (Sánchez-Vincitore and Castro, 2022).
Household surveys provide useful information on general trends in childhood development, but they are not comprehensive enough to assess development in its various dimensions or sensitive enough to generate alerts to detect developmental delays. These limitations highlight the need for specific child development screening tools that, although quick and cost-effective in the application, have adequate psychometric properties.
Many private, informal, and some public initiatives have been conducted in the Dominican Republic to provide early childhood services. However, until 2019 there were no standardized instruments to measure the impact of such efforts. In 2019, Sánchez-Vincitore et al. (2019) initiated the validation of the Dominican adaptation of the Malawi Developmental Assessment Tool (MDAT) (Gladstone et al., 2008, 2010). It is a childhood development screener in which an evaluator observes the behavior of a child in four different domains: gross motor, fine motor, language, and socio-emotional development. One of the advantages of this screener is that it optimizes test application time by only presenting items that correspond to the child’s expected evolutionary stage according to the child’s age. Therefore, providing a more precise item order is crucial to prevent bias in obtaining total scores. Although the instrument presented good psychometric properties, some limitations had to be considered before upscaling it as a national surveillance tool. First, as a preliminary pilot implementation within the academic context, research assistants with vast experience and training in data collection administered the instrument, which is unlikely in naturalistic environments. Second, the study had a small sample size (N = 42), meaning that there was no national representativeness. Therefore, age-standardized norms were not obtained for each item, threatening item presentation order. Finally, the study evaluated children up to 24 months, limiting the age range for which data were available.
To overcome these limitations, the National Institute for Early Childhood Comprehensive Care (INAIPI, for its acronym in Spanish) –the state institution responsible for providing quality comprehensive care services to children from 0 to five years and their families–, the Universidad Iberoamericana (UNIBE), and the United Nations Children’s Fund (UNICEF) developed the Dominican System for Measuring Early Childhood Development (SIMEDID, for its acronym in Spanish). SIMEDID was created by re-analyzing the content and structure of the Dominican version of the MDAT (Sánchez-Vincitore et al., 2019) and integrating other items from international and national instruments (Alonso et al., 2022).
SIMEDID is an electronic platform that hosts an early childhood development screener. This platform allows data collection through mobile devices and connects to INAIPI’s servers as part of its monitoring and evaluation system. The mobile application extracts sociodemographic information from the server, configuring individual evaluations according to each child’s age. As a result, INAIPI personnel already in the field can administer the early childhood development screener time-efficiently with little training. Once the assessment is over and the device connects to the internet, the data sync to the server—reducing the risk of losing the data.
Given the current stage of development of SIMEDID, the aims of this study were: (1) To determine the psychometric properties of SIMEDID; (2) To adjust the sequence of item presentation according to developmental milestones obtained from data from a large sample; (3) To provide age-standardized norms for each item.
The Universidad Iberoamericana’s ethics committee approved this study (CEI2021-3). Written informed consent was obtained from participant’s parents or guardians before participation in the study.
This is a cross-sectional, non-experimental, and descriptive study that evaluated children who receive services at INAIPI.
Data collection occurred in Santo Domingo, Dominican Republic, from November 1st, 2021, to February 17th, 2022. INAIPI participants who attended Comprehensive Care Centers for Early Childhood (CAIPIs, for its Spanish acronym) were assessed at their centers. In contrast, those who participated in Comprehensive Care Centers for Children and the Family (CAFI, for its Spanish acronym) received community and family-based services at their home, which is where children were assessed. The instrument was applied during regular service hours. The evaluation personnel consisted of 20 educational agents (who work at CAIPIs) and 20 community agents (who work at CAFIs).
An intentional sample of 948 children who live in Santo Domingo was selected from the INAIPI’s System of Information and Management for Early Childhood (SIGEPI, for its Spanish acronym) according to their age and type of service received (CAIPI or CAFI, which were kept proportional to the actual service: 36% and 64%, respectively). The inclusion criterion was to be beneficiaries of INAIPI. Participants were 428 girls (45.1%) and 520 boys (54.9%).
Sociodemographic variables: This set of questions addressed general demographic variables: sex assigned at birth (male and female), age (in days at the moment of evaluation), and type of service (CAIPI vs CAFI). These variables, obtained directly from SIGEPI, determine the starting item of SIMEDID 's subscales.
SIMEDID: This electronic instrument assesses childhood development in four development areas: gross motor, fine motor, language development, and social development. Each subtest has 33 items (except for language development, which has 34 items) in ascending difficulty levels. The presentation of the first item depends on the child’s age. Once the first item is completed on each dimension, the instrument is presented backward until the participant passes three items. Then the presentation continues forward until the participant misses three items. This allows evaluators to know the actual state of child development, in addition to detecting alerts, either delays in childhood development (backward presentation) or above the average development (forward presentation). Since the purpose of the study was to determine the age range in which each item is accomplished, we used the Malawi MDAT norms for this first trial. Subsequent data collection will use the sequence based on the findings from this study.
The evaluation is conducted using a mobile device with the SIMEDID app that connects to the INAIPI server and instructs the evaluator to assess a specific child. The app calculates the first item in each development area and presents items backward and forward. Passed items were scored 1, while missed items scored 0. Items not shown (for not corresponding to the participant's age range) were automatically completed: items before the three first achieved items were scored 1 (since it is assumed that the child has already passed these), and items after three consecutive misses scored 0 since the child is not ready to perform these.
We obtained an expert panel's consensus before collecting data to guarantee the instrument's construct definition (Sireci and Sukin 2013). The expert panel consisted of a group of professionals who represent Dominican institutions that provide early childhood services, including the Early Childhood Education Department and the Special Education Department from the Ministry of Education; the Ministry of Health; the National Health Services (SNS for its Spanish acronym); the National Council for Childhood and Adolescence (CONANI for its Spanish acronym); and the National Council for Disabilities (CONADIS for its Spanish acronym). The experts had the opportunity to revise each item and their definitions. The experts suggested to modify the definition of the item “[They] walk on tiptoes”. They included a statement that differentiates walking on tiptoes as a possible disability indicator vs. the intentional action of walking on tiptoes. The experts unanimously approved all changes.
The items were presented in Spanish and were translated to English by the research team for this publication.
The variables included in this study are listed in Table 1.
A total of 40 evaluators received a six-hour training session and conducted two practice evaluations. During the practice evaluations, the research team coached and supervised the evaluators. Recruitment was conducted by an institutional message indicating that either a CAIPI or CAFI was selected to participate. Children from CAIPI attending services during the data collection day were evaluated after a parent signed the consent form when dropping off their children at the centers. For CAFI participants, evaluation was conducted at home, and the assigned in-field INAIPI personnel contacted their families. Parents signed the informed consent before the interview took place at home. Each evaluation had a duration of 25-30 minutes.
To determine the instrument's psychometric properties, which corresponds to the first aim, we calculated Cronbach’s alpha and split half-parallel reliability. Then, for additional evidence of content validity, we conducted descriptive analyses (means and standard deviations) of each sub-scale score for each age group to confirm alignment of the instrument with development by age.
To determine the most appropriate item presentation order according to these data (second aim) and age-standardized norms (third aim), we conducted a logistic regression analysis on each item with item success (0 and 1) as the dependent variable and age in days as the independent variable. Following the methodology used by Gladstone et al. (2008, 2010), after ensuring a good model fit, the alpha and beta coefficients were used to calculate the cut-off age associated with a.9 probability of success following the formula in Equation 1:
The formula was also used to calculate the .75, .50, and .25 probabilities of success for each item. We used predictive probabilities from the regressions to calculate ages corresponding to 25%, 50%, 75%, and 90% of children passing each item, as proposed by Gladstone et al. (2008, 2010). For the statistical analyses, we used the IBM SPSS Statistics 25 program (https://www.ibm.com/products/spss-statistics). An open-source alternative to SPSS that can conduct the same processes is JASP (https://jasp-stats.org/).
To confirm the content validity of SIMEDID, we obtained descriptive statistics on each age group for the evaluated developmental areas. Table 2 shows that mean growth is progressive through age groups.
Age group | n | Gross motor | Fine motor | Language | Social-emotional | |
---|---|---|---|---|---|---|
0-2 month | 2 | Mean | * | * | * | * |
SD | * | * | * | * | ||
2-4 month | 30 | Mean | 4.97 | 5.13 | 5.53 | 7.23 |
SD | 2.62 | 3.75 | 1.36 | 3.73 | ||
4-6 month | 43 | Mean | 6.49 | 8.98 | 6.84 | 9.74 |
SD | 2.10 | 2.20 | 1.29 | 3.07 | ||
6-9 month | 65 | Mean | 9.31 | 11.66 | 8.31 | 13.88 |
SD | 2.66 | 2.94 | 2.08 | 4.24 | ||
9-12 month | 52 | Mean | 12.35 | 13.00 | 9.52 | 16.23 |
SD | 1.61 | 1.61 | 1.41 | 2.58 | ||
12-15 month | 48 | Mean | 15.94 | 14.54 | 11.23 | 18.90 |
SD | 4.25 | 2.82 | 2.89 | 3.45 | ||
15-18 month | 37 | Mean | 19.16 | 18.03 | 14.19 | 21.86 |
SD | 4.36 | 5.16 | 5.33 | 3.96 | ||
18-24 month | 82 | Mean | 22.44 | 21.27 | 17.23 | 22.95 |
SD | 3.90 | 4.49 | 6.70 | 4.30 | ||
24-30 month | 85 | Mean | 25.74 | 24.42 | 21.61 | 25.96 |
SD | 4.50 | 4.56 | 6.57 | 4.36 | ||
30-36 month | 89 | Mean | 27.61 | 25.79 | 25.90 | 27.78 |
SD | 3.98 | 3.75 | 5.56 | 3.99 | ||
36-42 month | 111 | Mean | 28.86 | 28.38 | 28.86 | 30.50 |
SD | 3.75 | 3.11 | 4.98 | 3.26 | ||
42-48 month | 101 | Mean | 28.98 | 28.76 | 29.85 | 31.33 |
SD | 4.29 | 3.44 | 5.34 | 2.50 | ||
48-54 month | 117 | Mean | 31.67 | 30.89 | 32.05 | 32.05 |
SD | 3.27 | 3.06 | 3.59 | 2.98 | ||
54-60 month | 86 | Mean | 32.20 | 32.14 | 33.30 | 32.22 |
SD | 1.83 | 1.16 | 1.42 | 2.12 |
Two internal consistency indices were calculated for each developmental area to confirm the instrument reliability, Cronbach's alpha, and split-half Spearman-Brown’s correlation (see Table 3).
To complete the second and third aims, we conducted a logistic regression analysis on each item with independent variable age and dependent variable item success. The results show a good fit (p < .05), except for the first item in the gross motor area and three of the first four items in the language development area.
The item presentation order was determined by sorting the age at which each item had a .9 probability of success from the results of logistic regression analyses on each item. To describe the expected evolution of item success probability across age, we also determined the .75, .50, and .25 probability of success. We thus provided the range amplitude for each item's success predicted by age. Figures 1 to 4 contain a visual representation of sorted items and corresponding probabilities of success. Note that results are presented in two scales for the X axis: for the first two years, the X axis corresponds to age in months, and for the following age ranges, in years.
Notes: MG1 Hold their head when carried; MG2 Lift their chin off the floor; MG3 From the prone position, they can lift their head to 90 degrees; MG4 Support head when lifted by hands; MG5 Flip over; MG6 Raise head, shoulders, and chest from a prone position; MG7 Start creeping; MG8 Start crawling position; MG9 Stand up with support; MG10 Sits up unassisted; MG11 Crawl with displacement alternating knees and hands; MG12 Take steps with help; MG13 Stand up unassisted; MG14 Walk without help; MG15 They crouch and stand up; MG16 Walk well with cross-scroll; MG17 Run, they may fall; MG18 Throw ball; MG19 Kick the ball; MG20 Run showing coordination in their movements; MG21 Run well, stops and start again without falling; MG22 Jump with feet together; MG23 Jump moving with both feet; MG24 Stand on one foot for 3 seconds; MG25 Stand on tiptoe with both feet; MG26 Walk on tiptoe; MG27 Walk in a straight line keeping balance; MG28 Jump on one foot without support; MG29 Can catch a ball with both hands; MG30 Bounce and catch the ball; MG31 Stand on one foot for 5 seconds; MG32 Jump moving with one foot; MG33 Jump alternating feet.
Notes: MF1 Palmar grasp reflex; MF2 Stare the midline; MF3 Visually focuses on an object and tracks it horizontally; MF4 Keep hands open when awake; MF5 Hold an object in hand; MF6 Show interest in putting an object in their mouth; MF7 Visually focus on an object and follow it from top to bottom; MF8 Grasp large objects voluntarily; MF9 Hold an object in each hand; MF10 Pass an object from one hand to another; MF11 Pick up small objects as if their fingers were a rake; MF12 Find the object under a blanket; MF13 Put and take out objects from the container; MF14 Grasp with thumb and forefinger (tweezers); MF15 Pick up a spoon and brings it to their mouth; MF16 Scribble; MF17 Push a car; MF18 Turn pages of a book; MF19 Make a tower of two cubes; MF20 Put nails on a board; MF21 Make a tower of six cubes; MF22 Make a ball of paper; MF23 Tear paper with both hands; MF24 Make shapes with putty; MF25 Rotate hand to unscrew; MF26 String; MF27 Copy a horizontal and vertical line; MF28 Copy a circle; MF29 Copy a cross; MF30 Know how to button and unbutton; MF31 Color without leaving the outline of the drawing; MF32 Draw a human figure; MF33 Cut paper with scissors.
Notes: DL1 Calm down when speaking to them; DL2 Startle or jump in response to sounds; DL3 Cry to express needs; DL4 They laugh; DL5 Make sounds with the throat; DL6 Turn their head when they search for a sound; DL7 React when called by their name; DL8 Pronounce syllables like Ma, Pa, Ba, Ta; DL9 Point with their finger when they want something; DL10 Repeat the same syllable twice “Dada, Mama, Mimi, Tata, Papa, Yaya, Baba”; DL11 Understand the meaning of the word no; DL12 Follow one-step commands; DL13 Follow two-step instructions; DL14 Answer with yes or no; DL15 Pronounce their first words with communicative intention; DL16 Recognize at least 6 objects; DL17 Point to 5 parts of their body; DL18 Use a two-word phrase; DL19 Say 6 words; DL20 Say their name; DL21 Know the use of three or more objects; DL22 Can identify 10 objects by name; DL23 Pronounce sentences of three words; DL24 Use more than 15 words; DL25 Use long sentences; DL26 Know the qualities or characteristics of an object; DL27 Pronounce the sounds of words correctly; DL28 Describe the drawing; DL29 Name at least three things in a category; DL30 Recognize opposites; DL31 Can count up to 5 or more objects; DL32 Answer two comprehension questions; DL33 Compare objects; DL34 Tell a story from a sequence of images.
Notes: DS1 Calm down with family members or caregivers; DS2 Smile spontaneously; DS3 Smile in response to a person; DS4 Recognize the voice of the main caregiver; DS5 Make eye contact; DS6 Touch the examiner's hands; DS7 They are aware of their hands (body); DS8 Try to hold a cup when being fed; DS9 Respond to a conversation; DS10 Raise their arms or indicate that they want to be carried; DS11 Laugh out loud; DS12 Explore their face when they are in front of the mirror; DS13 Show interest or intention to feed themselves; DS14 Look for continuing the game; DS15 Explore the environment; DS16 Participate in games; DS17 Wave or verbally greet; DS18 Express their satisfaction when they achieve something; DS19 Take a glass without spilling; DS20 Imitate adult actions; DS21 Recognize their belongings; DS22 Express interest in playing with other children; DS23 Symbolic game; DS24 Refer to themselves as “I”; DS25 Say the names of the people with whom they live; DS26 They urinate or defecate independently without dirtying their clothes; DS27 Indicate in some way that they need to urinate or defecate; DS28 Identify basic emotions in images; DS29 Come up with games; DS30 Share their belongings; DS31 Recognize basic emotions in themselves and express them verbally; DS32 Recognize and express basic emotions in others; DS33 Participate in games respecting rules and turns.
This paper collects evidence for the validity of SIMEDID, an electronic early childhood development screening tool adapted to the Dominican context conducted by INAIPI’s personnel through an electronic application. Regarding the first objective, we found that the instrument has adequate psychometric properties: the instrument’s subscales showed high internal consistency scores, evidencing excellent reliability. Furthermore, total scores for each sub-scale increased progressively across age, which evidenced alignment with standards already provided by an expert panel (Alonso et al., 2022) and criterion validity with a previous version of this instrument on a small sample size (Sánchez-Vincitore et al., 2019).
Regarding the second aim, we found that age predicted item success in most items, which supports similar results in children from Malawi Gladstone et al. (2008, 2010). However, age did not predict four initial items from the gross motor and language development subscales. We attribute these null findings to the fact that our study did not include an acceptable sample size for the age group for which these items were relevant. This is because INAIPI’s services to very young children were scarce at the time of this study, which will be considered for future studies. To comply with the third aim, age-standardized norms for each item were established, obtaining correspondences between ages and different probabilities of success for each item, which will allow comparing the achievement of participants with what is expected at their age.
Adapting this instrument to the Dominican context guarantees that cultural aspects of childrearing do not overshadow developmental scores (Suchdev et al., 2017) and that development is not under or overestimated. Having the instrument in an electronic platform solves two main challenges. First, personnel training is kept to the minimum since the platform guides the evaluator throughout the evaluation, presenting the items that only pertain to the child according to their age, with suggested videos and additional testing resources. Second, having SIMEDID connected to INAIPI servers and incorporating the data on national services provided by INAIPI creates a continuous stream that otherwise would be costly and logistically convolute data. This data stream will allow the development of new research agendas that include correlational modeling, intervention studies, and longitudinal studies to understand better the factors associated with childhood development in the Dominican Republic in a timely and cost-efficient way.
The study findings demonstrate that SIMEDID passes three elements of a checklist of critical methodological elements to consider when appraising a childhood development assessment tool: (1) the instrument measures domains affected by the risk factor or intervention; (2) reliability and validity of the instrument in the population of interest; (3) sensitivity of the instrument to identify changes; (4) logistics and methodology is suitable for evaluating the outcome; and (5) consideration of control group (Sabanathan et al., 2015). SIMEDID passes the first two elements from this checklist, as it measures specific domains of early childhood development previously identified as risk factors in the Dominican Republic, such as the sociodemographic and psychosocial factors that predict childhood development (Sánchez-Vincitore and Castro, 2022) and low levels of oral language comprehension in school-aged children that should be addressed during early childhood development before children enter primary school (Sánchez-Vincitore et al., 2020, 2022) among other risk factors. In addition, it passes the fourth element, given that the logistic and methodology was specifically designed to assess the outcome in the Dominican context. Future studies will address the third and fifth items when SIMEDID is used as a monitoring tool on a population basis.
This study has some limitations that should be considered before its interpretation. Children from the sample for which these age standards were obtained receive services at INAIPI. Socio-economic vulnerability is one of the main inclusion criteria for receiving such services. This means that the results of this study can only be generalizable for this population. Future studies should consider the whole socio-economic position spectrum to obtain national norms. The data generated in the Dominican context using SIMEDID has limited comparability to data from other countries.
Another important limitation is that the experience of creating this platform in the Dominican Republic was cost-effective due to the already existing infrastructure within INAIPI, which should be considered when transferring it to other countries. The institution is the national administrator of early childhood services, which gives them access to the population of interest and trained personnel already working with children. In addition, INAIPI has the Division of Early Childhood Development Measurement, with dedicated personnel to designing, creating, supervising, and training the personnel in childhood development measurement. And finally, INAIPI has a dedicated Information and Communications Technology Department, which developed the online platform and made it to synchronize with SIGEPI, the national database for managing data from early childhood services. Further studies should conduct a cost-per-user analysis to evaluate its efficiency.
Even with these limitations, these results will allow the pertinent institutions of the Dominican Republic to implement and report more accurate early childhood development indicators. They will also contribute to creating a robust monitoring system with a high-quality data collection process that allows evidence-based and timely decision-making. Furthermore, such a system will contribute to generating longitudinal data that can establish the association between childhood development and sociodemographic and psychosocial variables and determine the impact of initiatives and interventions (Richter et al., 2017), which is not sufficiently evaluated in most countries (Daelmans et al., 2017).
Although SIMEDID was created to be integrated into the services provided by INAIPI, and the instrument so far has only been administered to INAIPI beneficiaries, efforts to make a paper version of SIMEDID are on the way under the name of TADID (Tamizaje de Desarrollo Infantil Dominicano). This will allow other institutions, clinicians, schools, and pediatricians to use this validated tool at no cost.
In conclusion, this study provides evidence for the validity of SIMEDID, an electronic early childhood development screening tool adapted to the Dominican context, with adequate psychometric properties and age-standardized norms for each item. Adapting this instrument to the Dominican context ensures that cultural aspects of childrearing do not overshadow developmental scores. While SIMEDID is a screening tool and not intended for diagnosis, it offers valuable insights for caregivers and stakeholders, both at a group level for program design and decision-making, as well as at the individual level to monitor each child's progress.
Open Science Framework: Database for Validation of the Dominican System for Measuring Early Childhood Development. https://doi.org/10.17605/OSF.IO/KW3B8 (Sánchez-Vincitore et al., 2023b).
The project contains the following underlying data:
• Codebook SIMEDID.docx (names and values of each variable).
• Database – Validation study – SIMEDID.csv (database).
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Open Science Framework: Questionnaire and item presentation for SIMEDID validation study. https://doi.org/10.17605/OSF.IO/SWN8C (Sánchez-Vincitore et al., 2023a).
This project contains the following extended data:
• SIMEDID – Presentation order.xlsx. (Order of item presentation before and after data collection. Spanish and English translations)
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
The authors sincerely thank Besaida Manola Santana and Penélope Melo Ballesteros for their exemplary leadership throughout the project. We also extend our heartfelt appreciation to the dedicated team of data collectors whose hard work and commitment to quality ensured the success of this study.
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Child health and Early Childhood Development
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
No
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Neurodevelopmental Paediatrics and International Child Health
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