Assessing the Disparities of Data in Monthly Returns Midwife's (Form A) in the PRU East District

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ABSTRACT

Background: Midwife returns form A is the standard operational reporting format used in Ghana Health Services (GHS) and World Health Organization (WHO) globally to report on maternal and child health care activities. However, it is common to observe that data generated by health care providers in the health facilities and at community outreach services have gaps either left. The aim of the study was to improve maternal and child health care data

Methods: A cross-sectional descriptive study involving a review of records of Monthly Midwives Returns Form A collected during the first quarter of 2021 was used. A sample size of six (6) facilities was randomly selected for the study. Data were analyzed using Microsoft Excel 2016 software. Descriptive summaries (frequencies and proportions) were calculated.  

Results: The study revealed high completeness of data in the monthly midwives' returns sheet. Also, none of the facilities recorded 100% data accuracy and quality in the Monthly Midwives Form A with total registrants and total deliveries by age group compared. The study also revealed high accuracy and quality of data.

Conclusions: It was concluded that there was high completeness of data in the monthly midwives returns sheet (report), low data accuracy and quality in the Monthly Midwives Form A with total registrants and total deliveries by age group compared and high accuracy of data transfer from Monthly Midwives Returns Form A. Ghana Health Service together with stakeholders should organize in-service training for all health workers who compile Monthly Midwives Returns Form A to help improve data accuracy, quality, and completeness.


Contents                                                                                    Page

Declaration

Dedication

Acknowledgement

Abstract

Chapter One

Introduction

1.0 Background to the Study

1.1 Problem Statement

1.2 Objectives of the Study

1.2.1 Main Objective

1.2.2 Specific Objectives

1.3 Research Questions of the Study

1.4 Justification /Significance of the Study

1.5 Limitations of the Study


CHAPTER TWO

LITERATURE REVIEW

2.0 Overview

2.1 Completeness of Data

2.2 The Quality and Accuracy of Data

2.3 The Accuracy of Data Transfer


CHAPTER THREE

METHODOLOGY

3.0 Introduction

3.1 Study Design

3.2 Study Population

3.3 Study Area

3.4 Sample Size

3.5 Sampling Technique

3.6 Study Variables

3.7 Instruments for Data Collection

3.8 Pre Testing

3.9 Instrument Administration Procedure

3.10 Procedure for Data Analysis and Presentation

3.11 Ethical Considerations


CHAPTER FOUR

RESULTS AND DISCUSSION

4.0 Overview

Discussion


CHAPTER FIVE

SUMMARY, CONCLUSIONS AND RECOMMENDATION

Summary of Key Findings

Conclusions

Recommendations

REFERENCES

APPENDIX

 

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APA

AMANKONA HENSCHEL, E. (2021). Assessing the Disparities of Data in Monthly Returns Midwife's (Form A) in the PRU East District. Afribary. Retrieved from https://afribary.com/works/assessing-the-disparities-of-data-in-monthly-returns-midwife-s-form-a-in-the-pru-east-district

MLA 8th

AMANKONA HENSCHEL, EBENEZER "Assessing the Disparities of Data in Monthly Returns Midwife's (Form A) in the PRU East District" Afribary. Afribary, 13 Jun. 2021, https://afribary.com/works/assessing-the-disparities-of-data-in-monthly-returns-midwife-s-form-a-in-the-pru-east-district. Accessed 19 Sep. 2021.

MLA7

AMANKONA HENSCHEL, EBENEZER . "Assessing the Disparities of Data in Monthly Returns Midwife's (Form A) in the PRU East District". Afribary, Afribary, 13 Jun. 2021. Web. 19 Sep. 2021. < https://afribary.com/works/assessing-the-disparities-of-data-in-monthly-returns-midwife-s-form-a-in-the-pru-east-district >.

Chicago

AMANKONA HENSCHEL, EBENEZER . "Assessing the Disparities of Data in Monthly Returns Midwife's (Form A) in the PRU East District" Afribary (2021). Accessed September 19, 2021. https://afribary.com/works/assessing-the-disparities-of-data-in-monthly-returns-midwife-s-form-a-in-the-pru-east-district