PT  - JOURNAL ARTICLE
AU  - Bliznashka, Lilia
AU  - Hentschel, Elizabeth
AU  - Ali, Nazia Binte
AU  - Hunt, Xanthe
AU  - Neville, Sarah Elizabeth
AU  - Olney, Deanna
AU  - Pitchik, Helen O
AU  - Roy, Aditi
AU  - Seiden, Jonathan
AU  - Solís-Cordero, Katherine
AU  - Thapa, Aradhana
AU  - Jeong, Joshua
TI  - Psychometric properties of early childhood development assessment tools in low- and middle-income countries: a systematic review
AID  - 10.1136/bmjopen-2024-096365
DP  - 2025 May 01
TA  - BMJ Open
PG  - e096365
VI  - 15
IP  - 5
4099  - http://bmjopen.bmj.com/content/15/5/e096365.short
4100  - http://bmjopen.bmj.com/content/15/5/e096365.full
SO  - BMJ Open2025 May 01; 15
AB  - Objective Valid and reliable measurement of early childhood development (ECD) is critical for monitoring and evaluating ECD-related policies and programmes. Although ECD tools developed in high-income countries may be applicable to low- and middle-income countries (LMICs), directly applying them in LMICs can be problematic without psychometric evidence for new cultures and contexts. Our objective was to systematically appraise available evidence on the psychometric properties of tools used to measure ECD in LMIC.Design A systematic review following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.Data sources MEDLINE, Embase, PubMed, PsycInfo, SciELO and BVS were searched from inception to February 2025.Eligibility criteria We included studies that examined the reliability, validity, and measurement invariance of tools assessing ECD in children 0–6 years of age living in LMICs.Data extraction and synthesis Each study was independently screened by two researchers and data extracted by one randomly assigned researcher. Risk of bias was assessed using a checklist developed by the study team assessing bias due to training/administration, selective reporting and missing data. Results were synthesised narratively by country, location, age group at assessment and developmental domain.Results A total of 160 articles covering 117 tools met inclusion criteria. Most reported psychometric properties were internal consistency reliability (n=117, 64%), concurrent validity (n=81, 45%), convergent validity (n=74, 41%), test–retest reliability (n=73, 40%) and structural validity (n=72, 40%). Measurement invariance was least commonly reported (n=16, 9%). Most articles came from Brazil, China, India and South Africa. Most psychometric evidence was from urban (n=92, 51%) or urban–rural (n=41, 23%) contexts. Study samples focused on children aged 6–17.9 or 48–59.9 months. The most assessed developmental domains were language (n=111, 61%), motor (n=104, 57%) and cognitive (n=82, 45%). Bias due to missing data was most common.Conclusions Psychometric evidence is fragmented, limited and heterogeneous. More rigorous psychometric analyses, especially on measurement invariance, are needed to establish the quality and accuracy of ECD tools for use in LMICs.PROSPERO registration number CRD42022372305.All data relevant to the study are included in the article or uploaded as supplementary information.