Evidence map›Paper›PMID 37565413›Full record

ArticleJournal of global health2023

Association between the quality of care and continuous maternal and child health service utilisation in Angola: Longitudinal data analysis.

Ai Aoki, Keiji Mochida, Michiru Kuramata, Toru Sadamori, Pedro Sapalalo, Lino Tchicondingosse, Olukunmi Omobolanle Balogun, Hirotsugu Aiga, Ketha Rubuz Francisco, Kenji Takehara

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Ai AokiDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Keiji MochidaTA Networking Corp., Tokyo, Japan.
Michiru KuramataSamauma Consulting LLC, Chiba, Japan.
Toru SadamoriSamauma Consulting LLC, Chiba, Japan.
Pedro SapalaloDomus Custodius (SU) Lda. Tchikos Agency, Luanda, Angola.
Lino TchicondingosseDomus Custodius (SU) Lda. Tchikos Agency, Luanda, Angola.
Olukunmi Omobolanle BalogunDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Hirotsugu AigaSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Ketha Rubuz FranciscoNational Directorate of Public Health, Ministry of Health, Luanda, Angola.
Kenji TakeharaDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
National Center For Child Health and Development · JPClínica Sagrada Esperança · AOMinistry of Health · AONagasaki University · JPUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many low- and middle-income countries (LMICs) prioritise minimising maternal, neonatal, and infant mortality. To improve maternal and child health, various evidence-based interventions have been introduced. Quality of care is pertinent while strengthening service utilisations. Achieving optimal-quality care is often marred with difficulties, such as inadequate skills and knowledge of health workers, poor fidelity to protocols, and poor user acceptance. Angola is a LMIC facing these problems. This study aimed to demonstrate the influence of health facilities' quality of care at antenatal care (ANC) on subsequent maternal, newborn and child health (MNCH) service utilisation in Angolan pregnant women. Methods: Population-based cohort data from the Maternal and Child Health Handbook (MCH-HB) effectiveness study were analysed. The original study was conducted among women who became pregnant between March and April 2019 in Benguela Province, Angola. Socioeconomic and MNCH service utilisation indicators were collected through interviewer-administered structured questionnaires. The indicator of quality of care was a composite measure that assessed the implementation of the MCH-HB based on the RE-AIM framework, mostly consisted of common factors related to delivery and management of MNCH services. A multivariate logistic regression analysis was performed between quality of care, socioeconomic factors, and service utilisation indicators among the intervention group participants who had at least one ANC visit. Results: Of the 3351 pregnant women who visited ANC at least once, 2911 without missing values among explanatory or dependent variables were included in the analysis. Among them, 2032 (69.8%) were exposed to optimal-quality ANC, and 2058 (70.7%), 1573 (54.0%), and 941 (32.3%) achieved ANC target, facility delivery, and vaccination target for six-month-old infants, respectively. Exposure to suboptimal-quality care at ANC was associated with lower odds for facility delivery (adjusted odds ratio (AOR) = 0.60, 95% CI = 0.49-0.73) and the achievement of the vaccination target (AOR = 0.43, 95% CI = 0.33-0.55). A low socioeconomic status was inversely associated with health service utilisation indicators. Conclusions: Health facilities' quality of care influences subsequent MNCH service utilisation. Therefore, simultaneous efforts to improve quality of care and the mobilisation of pregnant women and communities are essential for enhancing maternal and child health.

Indexed as

Child Health ServicesPrenatal CareAngolaChildFemaleHumansInfantInfant MortalityInfant, NewbornPregnancyQuality of Health Care

Identifiers

PMID37565413
PMCPMC10416139
OpenAlexW4385752001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.