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Record W3213140714 · doi:10.47494/cajmns.v2i5.295

Prevalence of Contraceptive Methods among Women of Reproductive Age Attending Family Planning Clinic in Adeoyo Maternity Teaching Hospital, Ibadan, Oyo State

2021· article· en· W3213140714 on OpenAlexaff
Abayomi O Ayinde, Taiwo O Ayinde, Omone Veronica Okpere, Lawrence Adewale AGBONJIMI, Adewale Adewale Idowu, Christybelle Sylva John, Ogunlabi Julius Ademola

Bibliographic record

VenueCENTRAL ASIAN JOURNAL OF MEDICAL AND NATURAL SCIENCES · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMedicineFamily planningSystematic samplingCross-sectional studyDescriptive statisticsPopulationDeveloping countryFamily medicineDemographyEnvironmental healthResearch methodology

Abstract

fetched live from OpenAlex

The 2008 Nigeria demographic and health survey showed that maternal mortality in Nigeria is currently estimated at 545 per 100,000 live births.  This burden of maternal health can be alleviated through effective modern family planning measures (Singh, 2008). The contraceptive prevalence in Nigeria is still very low, about 15% (NDHS, 2008). This study aimed at examine the prevalence of contraceptive methods among women of reproductive age attending family planning clinic in Adeoyo, Ibadan, Oyo State. A descriptive cross sectional study design was used for this study. The study was carried out in Adeoyo Maternity Hospital, Yemetu located at Ibadan, Oyo State. Oyo State is one of the 36 states of Nigeria and is located in the South Western region of the country. Purposive sampling was used for the distribution of the questionnaires to the women attending Infant Welfare Clinic at General Hospital Adeoyo Maternity, Yemetu, Ibadan Oyo State. Participants were interviewed as they came into the hospital. The process continued until the required number of sample size (100) was obtained. Data was collected using an interviewer administered questionnaire which consists of the following. Section A consist of Socio demographic characteristics. Section B consist of data on Perceived reasons for choice of contraceptive method, perception about contraceptive choice. Section C consist of data on Perceived satisfaction with chosen contraceptive method and explore factors that influence satisfaction. Section D consist of data on Compliance with contraceptive methods and factor that influence compliance. Data was entered, edited, and analyze with SPSS statistical software (version 15). This included the analysis of participants socio-demographics data such as age, marital status, occupation, educational level, ethnicity. Frequency table diagrams and graph for these data was computed. Chi-square test was used for bivariate analyses to test the significance of the association between selected independents and dependents variables. findings from this study show that (96%) women of reproductive age that participated in this study have heard of contraceptive and understand it importance also  (58% ) were satisfied with the contraceptive method they choose because of the level of convenience, also (82%) of the respondents also used the contraceptive method of their choice regularly also (60% ) pf the respondents said they have confidence in the use of the method they went for .805) of the respondent their source of information on their currents method on the type of contraceptive to used was through the health worker. Only (19%) pf the respondents experienced side effect from their choice of contraceptive method they choose. Among the selected socio-demographic variable tested, it was discovered in this study that religion is the only factor that influence the use of contraceptive method among and this show statistically significant with P-value of 0.004.  It is recommended that Increase effort in modern contraceptive method promotion and education is needed to be intensify to improve knowledge among women so that they can make a proper and informed choice. It is also recommended that health care providers should effectively play their role by making sure that their clients have sufficient knowledge on contraceptives which can help them make a correct choice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.369
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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