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      The burden and predictors of late antenatal booking in a rural setting in Ghana

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          Abstract

          Aim

          The aim of the study was to determine the prevalence and key predictors of late booking among pregnant women accessing antenatal care services in a rural district of Ghana.

          Design

          Cross‐sectional study.

          Methods

          Data on demographic characteristics, knowledge of accessing antenatal care services and booking gestation were collected from 163 randomly selected pregnant women accessing accessing antenatal care in rural Ghana from 1 March 2022 to 30 April 2022 using a structured questionnaire. The chi‐square and logistic regression were used to explore associations between exposure and dependent variables.

          Results

          The prevalence of late accessing antenatal care booking among study participants was 44.8% (73/163). About 79.1% (129/163) of them had adequate knowledge of accessing antenatal care services. Maternal age of 35–49 years (AOR: 8.53, 95% CI: 2.41–30.12), participants whose partners had no formal education (AOR: 3.43, 95% CI: 1.03–11.39) and participants with adequate knowledge about accessing antenatal care services (AOR: 0.21, 95% CI: 0.07–0.62) were associated with late booking for accessing antenatal care services among study participants.

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          Most cited references49

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          How to Calculate Sample Size for Different Study Designs in Medical Research?

          Calculation of exact sample size is an important part of research design. It is very important to understand that different study design need different method of sample size calculation and one formula cannot be used in all designs. In this short review we tried to educate researcher regarding various method of sample size calculation available for different study designs. In this review sample size calculation for most frequently used study designs are mentioned. For genetic and microbiological studies readers are requested to read other sources.
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            National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis

            Previous estimates have highlighted a large global burden of stillbirths, with an absence of reliable data from regions where most stillbirths occur. The Every Newborn Action Plan (ENAP) targets national stillbirth rates (SBRs) of 12 or fewer stillbirths per 1000 births by 2030. We estimate SBRs and numbers for 195 countries, including trends from 2000 to 2015.
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              Cross-Sectional Studies

              Cross-sectional studies are observational studies that analyze data from a population at a single point in time. They are often used to measure the prevalence of health outcomes, understand determinants of health, and describe features of a population. Unlike other types of observational studies, cross-sectional studies do not follow individuals up over time. They are usually inexpensive and easy to conduct. They are useful for establishing preliminary evidence in planning a future advanced study. This article reviews the essential characteristics, describes strengths and weaknesses, discusses methodological issues, and gives our recommendations on design and statistical analysis for cross-sectional studies in pulmonary and critical care medicine. A list of considerations for reviewers is also provided.
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                Author and article information

                Contributors
                douglasopokuaninng@gmail.com
                Journal
                Nurs Open
                Nurs Open
                10.1002/(ISSN)2054-1058
                NOP2
                Nursing Open
                John Wiley and Sons Inc. (Hoboken )
                2054-1058
                04 November 2022
                April 2023
                : 10
                : 4 ( doiID: 10.1002/nop2.v10.4 )
                : 2182-2191
                Affiliations
                [ 1 ] School of Medicine and Dentistry Kwame Nkrumah University of Science and Technology Kumasi Ghana
                [ 2 ] Department of Occupational & Environmental Health, School of Public Health Kwame Nkrumah University of Science and Technology Kumasi Ghana
                [ 3 ] Allen Clinic Family Healthcare Services Kumasi Ghana
                [ 4 ] Department of Community Medicine, School of Medicine University of Health and Allied Health Science Ho Ghana
                [ 5 ] Department of Medicine Tamale Central Hospital Ghana
                [ 6 ] Department of Global Health, School of Public Health Kwame Nkrumah University of Science and Technology Kumasi Ghana
                [ 7 ] UK Foreign, Commonwealth and Development Office Accra Ghana
                [ 8 ] Department of Epidemiology and Biostatistics, School of Public Health Kwame Nkrumah University of Science and Technology Kumasi Ghana
                Author notes
                [*] [* ] Correspondence

                Douglas Aninng Opoku, Department of Occupational and Environmental Health, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

                Email: douglasopokuaninng@ 123456gmail.com

                Author information
                https://orcid.org/0000-0003-2321-387X
                https://orcid.org/0000-0002-1828-8984
                Article
                NOP21467 NOP-2022-May-0756.R2
                10.1002/nop2.1467
                10006594
                36330845
                d7e9609d-3987-4d26-b703-50c7b5f7e38a
                © 2022 The Authors. Nursing Open published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 08 October 2022
                : 11 May 2022
                : 22 October 2022
                Page count
                Figures: 0, Tables: 4, Pages: 10, Words: 7042
                Categories
                Empirical Research Quantitative
                Empirical Research Quantitative
                Custom metadata
                2.0
                April 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.6 mode:remove_FC converted:11.03.2023

                antenatal care,ghana,late booking,predictors,pregnant women
                antenatal care, ghana, late booking, predictors, pregnant women

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