ArticleReproductive health2023
Time to postpartum family planning initiation and its predictors among mothers coming for first measles vaccination at Family Guidance Association of Ethiopia, Dessie Model Clinic, Northeast Ethiopia: cox-regression model.
Article in Reproductive health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Cofactors of earlier uptake of modern postpartum family planning methods in Kenya.PLOS global public health · 2025Article
- A Systematic Review of Determinants Influencing Family Planning and Contraceptive Use.Iranian journal of nursing and midwifery researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTiming of initiation of family planning is an important determinant for the health status of the mother and her child. One-fourths of mothers in developing countries who wanted to space or limit their children were not using family planning methods at right time after delivery. Despite, the existence of many literatures about postpartum family planning, the timing of it is not yet studied. Thus, this study aimed to assess time to postpartum family planning and its predictors among mothers coming for first measles vaccination in Dessie city, Northeast Ethiopia.
methodsAn institutional-based retrospective follow-up study was conducted among mothers coming for infant vaccination at Family Guidance Association of Ethiopia, Dessie Model Clinic in Dessie City. A systematic sampling technique was used. The data were entered and analyzed using Epi Data version 3.1 and STATA version 14.0, respectively. Kaplan-Meier and Cox regression model were used to test the time and predictors of postpartum family planning initiation. Adjusted hazard ratio with 95% CI was used to test the strength of association at a p-value of 0.05.
resultsThe rate of postpartum FP initiation was 0.6% with 95% CI (0.0056, 0.0069). Keeping the effect of confounder constant, age of the women 20-24 [AHR = 2.63, 95% CI (1.65,4.19)], 25-29 [AHR = 3.66, 95% CI (2.35,5.73)], 30-34 [AHR = 2.79, 95% CI (1.75,4.46)], getting family planning counseling [AHR = 1.78, 95% CI (1.26, 2.52)], want more child [AHR = 0.47, 95% CI (0.34, 0.66)], having history of abortion [AHR = 0.54, 95% CI (0.36,0.81)] and wanted last pregnancy [AHR = 0.69, 95% CI (0.49, 0.97) were significantly associated with postpartum family planning initiation.
conclusionsAge, history of abortion, counseling about family planning, the status of last pregnancy and want more child were significantly associated with postpartum family planning use. Continuous emphasis should be given for health care providers to encourage their counseling services for their customers at different age groups with special attention given for elders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.