Determining the status of preconception care model in pregnant woman of Gorgan city (North of Iran) using structural equation modeling (SEM).

Behavior knowledge preconception care pregnancy self-efficacy

Journal

Journal of education and health promotion
ISSN: 2277-9531
Titre abrégé: J Educ Health Promot
Pays: India
ID NLM: 101593794

Informations de publication

Date de publication:
2022
Historique:
received: 30 08 2021
accepted: 30 10 2021
entrez: 30 9 2022
pubmed: 1 10 2022
medline: 1 10 2022
Statut: epublish

Résumé

Preconception reduces unplanned pregnancies and plays an important role in reducing maternal and infant mortality. Considering the importance of these care services, this study was conducted to determine the status of preconception care (PCC) model with Structural Equation Modeling (SEM). This cross-sectional descriptive study was conducted on 394 pregnant women referring to Gorgan's health centers. Samples were selected by multi-stage stratified sampling method. The instrument used in this research was a researcher-made questionnaire by Bayrami. Data were analyzed using R software version 4.1.4. Structural equation modeling (SEM) with weighted least square mean and variance method was used to fit the conceptual model and the significance level of the tests was considered 0.05. The results showed that PCC model was deemed appropriate as optimum conditions indicators of goodness of fit; knowledge with a coefficient of 0.182 leads to self-efficacy (SE), and SE affects the accessibility of facilities with a coefficient of 0.465 and the expected outcome with a coefficient of 0.500. After facility structure with a coefficient of 0.500, SE construct with a coefficient of 0.215 had the most effect on performing PCC behavior. Facilities and SE as a key element of empowerment have an important role in promoting PCC. Identifying the factors associated with this care appears to help health policymakers to planning for these caregivers more precise and sensitive.

Sections du résumé

BACKGROUND BACKGROUND
Preconception reduces unplanned pregnancies and plays an important role in reducing maternal and infant mortality. Considering the importance of these care services, this study was conducted to determine the status of preconception care (PCC) model with Structural Equation Modeling (SEM).
MATERIALS AND METHODS METHODS
This cross-sectional descriptive study was conducted on 394 pregnant women referring to Gorgan's health centers. Samples were selected by multi-stage stratified sampling method. The instrument used in this research was a researcher-made questionnaire by Bayrami. Data were analyzed using R software version 4.1.4. Structural equation modeling (SEM) with weighted least square mean and variance method was used to fit the conceptual model and the significance level of the tests was considered 0.05.
RESULTS RESULTS
The results showed that PCC model was deemed appropriate as optimum conditions indicators of goodness of fit; knowledge with a coefficient of 0.182 leads to self-efficacy (SE), and SE affects the accessibility of facilities with a coefficient of 0.465 and the expected outcome with a coefficient of 0.500. After facility structure with a coefficient of 0.500, SE construct with a coefficient of 0.215 had the most effect on performing PCC behavior.
CONCLUSIONS CONCLUSIONS
Facilities and SE as a key element of empowerment have an important role in promoting PCC. Identifying the factors associated with this care appears to help health policymakers to planning for these caregivers more precise and sensitive.

Identifiants

pubmed: 36177427
doi: 10.4103/jehp.jehp_1284_21
pii: JEHP-11-240
pmc: PMC9514249
doi:

Types de publication

Journal Article

Langues

eng

Pagination

240

Informations de copyright

Copyright: © 2022 Journal of Education and Health Promotion.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Narjes Sadat Borghei (NS)

Department of Midwifery, School of Nursing and Midwifery, Counseling and Reproductive Health Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.

Tayebeh Ebady (T)

Department of Midwifery, School of Nursing and Midwifery, Counseling and Reproductive Health Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.

Roghaieh Bayrami (R)

Department of Midwifery, School of Nursing and Midwifery, Patient Safety Research Center, Urmia University of Medical Sciences, Urmia, Iran.

Roya Nikbakht (R)

Department of Biostatistics and Epidemiology, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran.

Classifications MeSH