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Psychometric properties of the Child Development Assessment Questionnaire (QAD-PIPAS) for use in population studies involving Brazilian children aged 0-59 months* * Study conducted at Instituto de Saúde, Secretaria de Estado da Saúde de São Paulo, São Paulo, SP, Brazil.

Abstract

Objective:

To analyze the psychometric properties of the Child Development Assessment Questionnaire (QAD-PIPAS).

Methods:

This methodological study was comprised of two axes. The first one aimed to analyze the instrument’s construct validity (discriminant and concurrent validity) and internal consistency, and the second one examined test-retest reliability, involving two different samples and procedures. For construct validity and internal consistency, the sample was recruited in Embu das Artes-SP, Brasilia-DF and Recife-PE during the immunization campaign in 2017, involving caregivers of 2005 children under 60 months of age (1295 under 36 and 710 from 37 to 59 months). For the test-retest analysis the sample consisted of 30 children aged 0-59 months old that attended daycare centers in Embu das Artes-SP in 2018.

Results:

Multivariate analyses of construct validity showed that the QAD-PIPAS was able to identify the association between the outcome (suspected child development delays) and expected risk and protective factors based on Nurturing Care Framework (OMS/UNICEF). A significant positive correlation was achieved between the scores of the QAD-PIPAS and CREDI in six of the eight age groups analyzed, with the most significant correlations being in the age groups from 25 to 30 and 31-36 months. Acceptable internal consistencies were identified in all age groups, with better performance above 36 months of age (Cronbach’s alpha between 0.61 to 0.80). We also found an adequate test-retest reliability (global Kappa 0.81).

Conclusion:

The QAD-PIPAS showed evidence of construct validity and reliability to be used in population studies involving children aged 0-59 months during multi-vaccination campaigns in Brazil.

KEYWORDS
Child development; Validation studies; Population assessment; Brazil

Introduction

The first years of life are essential to lay the groundwork for lifelong development.11 Shonkoff JP, Boyce WT, McEwen BS. Neuroscience, molecular biology and the childhood roots of health disparities: building a new framework for health promotion and disease prevention’’. JAMA. 2009;301:2252-9.

2 Campbell F, Conti G, Heckman JJ, Moon SH, Pinto R, Pungello E, et al. Early childhood investments substantially boost adult health. Science. 2014;343:1478-85.
-33 Nofziger S, Rosen NL. Building self-control to prevent crime. In: Teasdale B, Bradley M, editors. Preventing crime and violence. Basel, Switzerland: Springer International Publishing; 2017. p. 43-56.

However, an estimated 250 million children under five years of age worldwide will not reach their developmental potential due to poverty and stunting, in addition to their exposure to violence, abuse, neglect, or abandonment.44 Black MM, Walker SP, Fernald LC, Andersen CT, DiGirolamo AM, Lu C, et al. Early childhood development coming of age: science through the life course. Lancet. 2017;389:77-90.,55 Szwarcwald CL, Leal MC, Almeida WS, Barreto ML, Frias PG, Theme Filha MM, et al. Child Health in Latin America. Global Public Health (online). 2019;1:1-49.

The Sustainable Development Goals (SDGs) prioritize early childhood development (ECD) by recommending access to care and timely learning for young children. As a result, ECD interventions have increased, especially in lowand middle-income countries, which concentrate most of the disadvantaged children.66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017. Brazil has increased investment in ECD programs, such as the Criança Feliz, a home visiting program that has reached about 2000 Brazilian municipalities.77 Girade H, 34-8 [Cited 2021 Jan 01]. Available from: Criança Feliz: a programme to break the cycle of poverty and reduce the inequality in Brazil. Early Childhood Matters. Bernad van Leer Foundation; 2018 https://bernardvanleer.org/ecm-article/2018/crianc%CC%A7a-feliz-a-programme-to-break-the-cycle-of-poverty-and-reduce-theinequality-in-brazil/
https://bernardvanleer.org/ecm-article/2...
However, the formulation, improvement, and monitoring of these interventions depends on consistent evaluation of needs and outcomes related to ECD, using culturally appropriate measures.55 Szwarcwald CL, Leal MC, Almeida WS, Barreto ML, Frias PG, Theme Filha MM, et al. Child Health in Latin America. Global Public Health (online). 2019;1:1-49.,88 Altafim ER, McCoy DC, Brentani A, Escobar AM, Grisi SJ, Fink G. Measuring early childhood development in Brazil: validation of the Caregiver Reported Early Development Instruments (CREDI). J Pediatr (Rio J). 2018;96:66-75.,99 Venancio SI, Bortoli MC, Frias PG, Giugliani ER, Alves CR, Santos MO. Development and validation of an instrument for monitoring child development indicators. J Pediatr (Rio J). 2020;96:778-89.

Some tools have been developed for monitoring ECD at the populational level and large-scale in the last years, highlighting the role of international agencies such as UNICEF, the World Health Organization (WHO), and the Inter-American Bank. UNICEF has recently published the Early Childhood Development Index (ECDI2030)1010 UNICEF, A New Tool to Measure SDG Indicator 4.2.1. [Cited 2021 Jan 11]. Available from: Early Childhood Development Index 2030; 2020 https://data.unicef.org/resources/early-childhood-development-index-2030-ecdi2030/
https://data.unicef.org/resources/early-...
to determine whether children aged 24-59 months are developmentally on track in health, learning, and psychosocial well-being, based on 20 questions; the Regional Project on Child Development Indicators (PRIDI)1111 Verdisco A, Cueto S, Thompson J, Neuschmidt O. Urgency and possibility. In: First initiative of comparative data on child development in Latin America. Washington, DC: Interamerican Development Bank; 2015. is an initiative launched by the Inter-American Development Bank and consists in a direct assessment tool of children aged 24-59 months, including 21 items for capturing cognition, communication, language, socioemotional, and motor development;the Caregiver Reported Early Development Index (CREDI)88 Altafim ER, McCoy DC, Brentani A, Escobar AM, Grisi SJ, Fink G. Measuring early childhood development in Brazil: validation of the Caregiver Reported Early Development Instruments (CREDI). J Pediatr (Rio J). 2018;96:66-75.,1212 McCoy DC, Sudfeld CR, Bellinger DC, Muhihi A, Ashery G, Weary TE, et al. Development and validation of an early childhood development scale for use in low-resourced settings. Popul Health Metr. 2017;15:1-18. is a population-level measure for assessing the overall development of children aged 0-35 months across the motor, language, cognition, socioemotional, and mental health domains based on the child’s primary caregiver report. An ongoing initiative under the WHO leadership, called The Global Scale for Early Development (GSED), aims to provide an instrument that can assess child development across different contexts.1313 Cavallera V, Black M, Bromley K, Cuartas J, Dua T, Eekhout I, et al [Cited 2021 Jan 01]. Available from: The Global Scale for Early Development (GSED). Early Childhood Matters. Bernad van Leer Foundation; 2019 https://earlychildhoodmatters.online/2019/the-global-scale-for-early-development-gsed/
https://earlychildhoodmatters.online/201...
Despite the efforts of international agencies to develop an instrument that allows comparable measurement of child development at a global level, no consensus exists on the best instrument for population studies.

Due to the successful Brazilian experience of conducting rapid and low-cost surveys in vaccination campaigns,1414 Venancio SI, Escuder MM, Saldiva SR, Giugliani ER. A prática do aleitamento materno nas capitais brasileiras e Distrito Federal: situação atual e avanços. J Pediatr (Rio J.). 2010;86: 317-24. the scarcity of data on ECD in population studies in Brazil and the non-availability of an open-access test, based on caregivers’ report, to assess the development of children aged 0-59 months, the PIPAS Project (Early Childhood for Healthy Adults) created an easy and quick to administer instrument (QAD-PIPAS), to be applied in multi-vaccination campaigns. The great advantage of creating a new test is that it can be tailored to the local context. Nevertheless, any new test development requires reliability and validity assessments before being applied in the field.66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017. This article aims to analyze the Child Development Assessment Questionnaire’s (QAD-PIPAS) psychometric properties, focusing on reliability and construct validity, for population-level studies involving Brazilian children aged 0-59 months.

Methods

This methodological study was comprised of two axes, involving two different samples and procedures. The first aimed to analyze the instrument’s construct validity (discriminant and concurrent validity) and internal consistency. The second axis examined test-retest reliability.

The following psychometric properties66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017.,1515 Echevarria-Guanilo ME, Goncalves N, Romanoski PJ. Propriedades psicométricas de instrumentos de medidas: bases conceituais e métodos de avaliação PARTE I.Texto contexto - enferm. Florianópolis). 2017;26:e1600017.,1616 Echevarria-Guanilo ME, Goncalves N, Romanoski PJ. Propriedades psicométricas de instrumentos de medidas: bases conceituais e métodos de avaliação - Parte II. Texto contexto - enferm (Florianópolis). 2019;28:e20170311. were examined: 1) Discriminant validity: checks whether test scores are associated with factors that are expected to be related to them; 2) Concurrent validity: analyses the extent to which the results of a particular test or measurement tool correlate with results of a previously established measurement of the same construct measured at the same time; 3) Internal consistency: assesses how well the instrument items work individually and together, and 4) Test-retest reliability: refers to how consistently a measure produces similar results for a group of children with repeated measurements over a short period of time.

Study samples and recruitment procedures

The study included two samples. The first one was recruited on September 16th during the 2017 national multivaccination campaign in 44 Basic Health Units from three Brazilian regions: Embu das Artes (São Paulo) in the Southeast, Recife (Pernambuco) in the Northeast and Distrito Federal (Distrito Federal) in the Central-West. A convenience sample was defined to include at least 30 children in each of the following age groups: 0-6; 7-9; 10-12; 13-15; 16-18; 19-24; 25-30; 31-36; 37-49; 49-59 months (n = 2005). The inclusion criteria included was to be aged 0-59 months and to be accompanied by a primary caregiver (i.e., mother, father, grandmother) during the immunization procedure. Children were recruited in order of arrival at the Basic Health Unit. The questionnaire was applied from 8 am to 5 pm to all caregivers who agreed to participate in the study. Data collection involved 274 undergraduate health students who received an 8-h training by the study’s coordination team.

The second sample was recruited in 2018 on September 22th, in two daycare centers in Embu das Artes (São Paulo). We used a convenience sample of 30 children aged 0-59 months. The caregivers were interviewed twice within a 3-8 hour-interval (at the arrival at the daycare center and at the end of the period) by different researchers. The QAD-PIPAS was applied by eight interviewers who attended an 8-h training and had a graduate education level.

Data collection instruments

The QAD-PIPAS is an open-source tool that aims to assess children’s overall development from 0 to 59 months. It is based on the report of the child’s primary caregivers (i.e., mother, father, grandmother). It is structured in ten age groups (0-6; 7-9; 10-12; 13-15; 16-18; 19-24; 25-30; 31-36; 37-49; 49-59 months) and for each one, a set of items assesses the motor, cognitive, language, and socioemotional domains, using a yes/no/do not know response scale. The number of items by age group can vary from 9 to 24 questions. The content validity of the instrument is described elsewhere.99 Venancio SI, Bortoli MC, Frias PG, Giugliani ER, Alves CR, Santos MO. Development and validation of an instrument for monitoring child development indicators. J Pediatr (Rio J). 2020;96:778-89.

Considering that the care experienced by the children in their surrounding environment may influence their development, 66 questions were added to generate information about the WHO Nurturing Care Framework domains: good health, adequate nutrition, responsive care, opportunities for early learning, and security and safety.1717 Britto PR, Lye SJ, Proulx K, Yousafzai AK, Matthews SG, Vaivada T, et al. Nurturing care: promoting early childhood development. Lancet. 2016;389:91-102. In addition, questions from the Multiple Indicator Cluster Survey (MICS) related to the caregivers’ engagement in child stimulation activities were included.1818 United Nations Children’s Fund (UNICEF) [Cited 2021 Jan 11]. Available from: Multiple Indicator Cluster Surveys; 2013 http://mics.unicef.org/
http://mics.unicef.org/...
The complete QAD-PIPAS can be accessed in the Supplementary File 1.

For concurrent validity analysis, the Caregiver Reported Early Development Index (CREDI)88 Altafim ER, McCoy DC, Brentani A, Escobar AM, Grisi SJ, Fink G. Measuring early childhood development in Brazil: validation of the Caregiver Reported Early Development Instruments (CREDI). J Pediatr (Rio J). 2018;96:66-75.,1212 McCoy DC, Sudfeld CR, Bellinger DC, Muhihi A, Ashery G, Weary TE, et al. Development and validation of an early childhood development scale for use in low-resourced settings. Popul Health Metr. 2017;15:1-18. was also applied to the same children during the multi-vaccination campaign. CREDI was designed to be applied at the population level and is based on caregivers report, assessing the same domains of the QAD-PIPAS, and was validated to be used with Brazilian children aged 0-36 months.88 Altafim ER, McCoy DC, Brentani A, Escobar AM, Grisi SJ, Fink G. Measuring early childhood development in Brazil: validation of the Caregiver Reported Early Development Instruments (CREDI). J Pediatr (Rio J). 2018;96:66-75.

Statistical treatment

The data were entered into an application developed for PIPAS Project and exported to an Excel spreadsheet. The analysis was performed in the statistical packages SPSS 25.0 and Stata 14.0.

In the first stage, the Hot Deck imputation method was used to minimize the loss of information.1919 Andridge RR, Little RJ. A review of hot deck imputation for survey non-response. Int Stat Rev. 2010;78:40-64. For each child, a score was obtained from the sum of the answers to the items. The dichotomous attributes coding was 1 for the expected answers and 0 for the absence of the expected skill or behavior. Then, the scores were standardized by calculating the proportion of expected responses in relation to the total of items evaluated. This standardized score ranged from 0 to 1, with a value of 0 expressing inappropriate responses in all items evaluated and a value of 1 indicating appropriate responses in all items. The calculation of the QAD-PIPAS standardized scores for any age group is given by the expression (1):

Score i=1pQip where Q represents the i-th question, whose value 0 (No) or 1 (Yes), and p is the number of questions or items evaluated.

The score was normalized using the z-score distribution. Children with Z-scores less than-2 were suspected of having a developmental delay.

The discriminant validity analysis was based on hypothesis tests. The study hypothesized that risk factors for developmental delays would be associated with poorer test performance. The authors used multiple logistic regression to analyze the discriminant validity, and the outcome was suspected ECD delays (yes vs. no). The independent variables were organized considering the Nurturing Care Framework domains1717 Britto PR, Lye SJ, Proulx K, Yousafzai AK, Matthews SG, Vaivada T, et al. Nurturing care: promoting early childhood development. Lancet. 2016;389:91-102. as follows: good health (prenatal care; the presence of health/growth problems); adequate nutrition (exclusive breastfeeding for children under six months and food diversity for those over six months); responsive care (engaging caregivers in activities to stimulate development); opportunities for early learning (attending daycare centers and one or more children’s books at home) and safety and security (maternal education; home with running water; and participation in the Bolsa Família Conditional Cash Transfer Program). A descriptive analysis was carried out to characterize the study sample, followed by a logistic regression adjusted for the child’s age, adopting a significance level of 5%. Data are presented separately for children 0-36 (n = 1295) and 37-59 months old (n = 710). The concurrent validity analysis sought to assess whether the results of the QAD-PIPAS correlate with the CREDI simplified version.88 Altafim ER, McCoy DC, Brentani A, Escobar AM, Grisi SJ, Fink G. Measuring early childhood development in Brazil: validation of the Caregiver Reported Early Development Instruments (CREDI). J Pediatr (Rio J). 2018;96:66-75.,1212 McCoy DC, Sudfeld CR, Bellinger DC, Muhihi A, Ashery G, Weary TE, et al. Development and validation of an early childhood development scale for use in low-resourced settings. Popul Health Metr. 2017;15:1-18. Only children aged 0-36 months old (n = 1295) were included in this analysis because this is the age range covered by the CREDI. The procedures described to generate the standardized scores of PIPAS were also adopted to generate CREDI standardized scores for each child. Considering that the original categorical answers to the questionnaire were transformed in scores, bivariate correlation analysis was used to obtain Pearson’s correlation coefficient, at a significance level of 5%. The scatterplot diagram was used to represent the correlation between the scores obtained by applying CREDI and QAD-PIPAS.

The Cronbach’s alpha coefficient was used to calculate the internal consistency because it is recommended for instruments that adopt categorical ratings.1515 Echevarria-Guanilo ME, Goncalves N, Romanoski PJ. Propriedades psicométricas de instrumentos de medidas: bases conceituais e métodos de avaliação PARTE I.Texto contexto - enferm. Florianópolis). 2017;26:e1600017. We performed the analysis by age groups, as the items of the QAD-PIPAS differ according to the child’s age. The internal consistency is considered low if Cronbach’s alpha was lower than 0.21; reasonable if it was 0.21 to 0.40; moderate if 0.41 to 0.60; substantial if 0.61 to 0.80 and almost perfect if it was equal or higher than 0.81.2020 Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-74.

The test-retest reliability was analyzed using the Kappa coefficient, as QAD-PIPAS items were rated on a three-level scale.66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017. The agreement was categorized as insignificant (0), weak (Kappa coefficient < 0.21), reasonable (0.21-0.40), moderate (0.41-0.60), strong (0.61-0.80), and almost perfect (≥0.81).2121 McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22:276-82.

Ethical considerations

The research was approved by the Ethics Committee of the São Paulo Health Institute (CAAE 55261616.5.0000.5469).

Results

Table 1 shows the characteristics of the sample across the Nurturing Care Framework domains. In the good health domain, almost all mothers received prenatal care, and 10.5% of the mothers with children under 36 months and 15.4% with children between 37-59 months reported child health/growth problems. In the adequate nutrition domain, children with adequate food were higher in the age group above 36 months (67.5%) than in younger children (58.9%). In the responsive care, more than 75% of the caregivers of children aged 37-59 months reported engaging in 4-6 stimulation activities in the last week, whereas among children under 36 months was 61%. About 5% of the caregivers reported concerns about the child’s development in both age groups. Considering opportunities for early learning, only 20% of children under 36 months were attending daycare centers, while 78% of those aged 37-59 months attended school. The percentage of children who had at least one children’s book at home was 61% among children under 36 months and 87% between 37-49 months. In the security and safety domain, in both age groups, most mothers studied for 8-11 years, lived in homes with running water, and 30% were beneficiaries of the Bolsa Família Program.

Multivariable logistic regression models of suspected ECD delays are presented in Table 2. Under 36 months, when caregivers reported children had health/growth problems and were concerned about developmental problems, there was a significant association with the outcome, configuring a risk factor; while receiving one or more developmental stimulus at home configured as a protective factor. For children 37-59 months, similar results were observed. In addition, not having children’s books and low maternal education significantly increased the chances of developmental problems.

The results of concurrent validity between QAD-PIPAS and CREDI are presented in Fig. 1. A significant positive correlation was observed in six of the eight age groups analyzed. The most significant correlations were in the age groups 25-30 and 31-36 months, and the scores of the two instruments did not correlate in the age groups of 10-12 and 13-15 months.

The internal consistency was reasonable in four age groups (7-9, 10-12, 13-15, 16-18 months), moderate in an additional four (0-6, 19-24, 25-30, 31-36 months), and substantial among children over 36 months of age, with Cronbach’s alpha values varying between 0.61 and 0.80.

Table 3 presents the results of the reliability test-retest. 587 replicated observations were analyzed. An almost perfect agreement (Kappa 0.81) was observed in seven age groups (0-6; 7-9; 10-12; 13-15; 16-18; 31-36; 37-48 months) and a strong agreement (Kappa 0.61-0.80) in three age groups (19-24; 25-30; 49-59 months). The global Kappa coefficient (0.81) was almost perfect.

Discussion

The QAD-PIPAS showed evidence of construct validity and reliability to be used in population studies involving children aged 0-59 months.

The discriminant validity analysis showed that the QAD-PIPAS was sensitive to risk and protective factors based on the Nurturing Care Framework. The chance of being classified as a suspected developmental delay was higher in children experiencing risk factors than others. On the other hand, children with protective factors had fewer chances of being classified as a suspected developmental delay than their counterparts. The analysis performed enabled this validation step for both 0-36 and 37-59 age groups. Discriminant validity is one of the main objectives of the child development assessment at population-level studies, as it can inform appropriate interventions and also detect positive effects of the interventions.66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017. Children exposed to unfavorable socioeconomic conditions, such as low maternal education and not having children’s books, were more likely to have suspected developmental delays. Similar results were already identified in other studies in low and middle-income countries, including Brazil.2222 Sania A, Sudfeld CR, Danaei G, Fink G, McCoy DC, Zhu Z, et al. Early life risk factors of motor, cognitive and language development: a pooled analysis of studies from low/middle-income countries. BMJ Open. 2019;9:e026449.

23 Correia LL, Rocha HA, Sudfeld CR, Rocha SG, Leite AJ, Campos JS, et al. Prevalence and socioeconomic determinants of development delay among children in Ceará, Brazil: a population-based study. PLoS ONE. 2019;14:e0215343.
-2424 Oliveira CV, Palombo CN, Toriyama AT, Veríssimo ML, Castro MC, Fujimori E. Health inequalities: child development in different social groups. Rev Esc Enferm USP. 2019;53:e03499. Likewise, receiving one or more developmental stimulus at home in the last week, which is considered a protective factor, decreased the chances of children presenting any suspicion of developmental delays, which was also reported by Altafim et al. (2018).88 Altafim ER, McCoy DC, Brentani A, Escobar AM, Grisi SJ, Fink G. Measuring early childhood development in Brazil: validation of the Caregiver Reported Early Development Instruments (CREDI). J Pediatr (Rio J). 2018;96:66-75. In addition, the results confirm the strong association between caregivers’ perception and children’s performance in developmental assessment tests.2525 Council on Children with Disabilities, Section on Developmental Behavioral Pediatrics, Bright Futures Steering Committee and Medical Home Initiatives for Children With Special Needs Project Advisory Committee. Identifying infants and young children with developmental disorders in the medical home: an algorithm for developmental surveillance and screening. Pediatrics. 2006;118:405-20.

The comparisons made between QAD-PIPAS and CREDI found a statistically significant correlation in most analyzed age groups. The most favorable result was obtained for children in older age groups. Rubio-Codina et al. (2016), analyzing the concurrent validity of the cognitive, language, and fine motor scales of three multidimensional tests with the Bayley-III scales, also obtained worse results in children under 19 months and better results after 30 months of age.2626 Rubio-Codina M, Araujo MC, Attanasio O, Munoz P, Grantham-McGregor S. Concurrent validity and feasibility of short testscurrently used to measure early childhood development in largescale studies. PLoS ONE. 2016;11, e0160962.17. The analysis of internal consistency showed acceptable results in all age groups. Internal consistency is the reliability measure that indicates the correlation between items in a test2727 Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, et al. The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. J Clin Epidemiol. 2010;63:737-45. and considers the factorial loads of the items.2828 Valentini F, Damásio BF. Variância média extraída e confiabilidade composta: indicadores de precisão. Psicologia: Teoria e Pesquisa. 2016;32:1-7. The number of tested items influences Cronbach’s alpha value.2929 Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297-334.,3030 Prinsen CA, Voha S, Rose MR, Boers M, Tugwell P, Clarke M, et al. How to select outcome measurement instruments for outcomes included in a C¨ore Outcome Set¨- a practical guideline. Trials. 2016;17:449. The best results of Cronbach’s alpha were obtained for children between 37 and 59 months. The greater number of items in these age groups may have positively influenced the results.

There was a high degree of agreement in the caregivers’ responses in the test-retest reliability, obtained by different interviewers at two different times. Reliability assumes that individuals show some stability in exhibiting the behaviors under assessment, although there may be some variation in successive tests.66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017. The results tend to be satisfactory if the instrument is administered uniformly, with a standardized, high-quality interviewer training.66 World Bank Group. A toolkit for measuring early childhood development in lowand middle-income countries. Prepared for the strategic impact evaluation fund. Washington DC: The World Bank; 2017. The results indicate that QAD-PIPAS questions were adequately understood by the caregivers and interviewers after 8-hs training, enabling consistently high rates of agreement in all age groups.

Table 1
Characterization of the studied population of children 0-59 months old according to variables selected by the Nurturing Care Framework. Embu das Artes, Recife, and Distrito Federal, 2017.

The psychometric properties of the QAD-PIPAS analyzed in the present study encourage the use of the instrument to monitor ECD at the population level in Brazil. Some aspects must be highlighted, such as the methodological rigor of all validation stages and the sample, which included children residing in different Brazilian regions and socioeconomic and cultural contexts.

The advantages of QAD-PIPAS for monitoring ECD at the population level are: (i) being based on caregivers’ reports, which shortens the application time required for the questionnaire and does not require specialized evaluators for its application; (ii) providing a global measure of child development that considers the motor, cognitive, and language domains as well as the early manifestations of socioemotional aspects; (iii) and the absence of copyright, an aspect that facilitates large-scale use.

The study’s limitations include that the test-retest reliability analysis was conducted on a small sample, and it should be repeated in future studies. We could not perform the concurrent validity analysis for children over 36 months because we used CREDI as a reference test, considering its similarities to QAD-PIPAS. Besides, it is necessary to apply the instrument in larger samples in different regions of the country to test it in other contexts and expand the analysis of other psychometric properties.

Table 2
Factors associated with suspected ECD delays by age group adjusted for Nurturing Care Framework variables and the child’s age. Embu das Artes, Recife and Distrito Federal, 2017.

The experience of applying the QAD-PIPAS in surveys carried out in São Paulo, Pernambuco, and Distrito Federal allowed the authors to learn about the conditions necessary to carry out the research. It is essential to articulate epidemiological surveillance, primary health care, and child health services in the municipalities, beyond education and social assistance sectors, which can support data collection. Moreover, the partnership with universities is essential for recruiting students and supporting the 8-h training to prepare them for data collection. The study confirmed QAD-PIPAS is easily applied and can be implemented in multivaccination campaigns at low costs.

Figure 1
Results of concurrent validity between the QAD-PIPAS and CREDI instruments, 2017.
Table 3
Results of test-retest reliability of the Child Development Assessment Questionnaire (QAD-PIPAS), 2017.
  • Funding
    Chamada047/2014 MCTI/CNPq/MS/DECIT/Bill and Melinda Gates Foundation (Processo 401721/2015-9)

Acknowledgments

Our thanks to the managers and teams of Distrito Federal, Recife and Embu das Artes for supporting the research.

Appendix A Supplementary data

Supplementary material related to this article can be found, in the online version, at doi:https://doi.org/10.1016/j jped.2021.01.003.

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Publication Dates

  • Publication in this collection
    06 Dec 2021
  • Date of issue
    2021

History

  • Received
    23 Sept 2020
  • Accepted
    07 Jan 2021
  • Published
    21 Feb 2021
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