ANALYZING THE EFFECT OF POOR QUALITY DATA ON HEALTH CARE PLANNING IN RURAL AREA IN NIGERIA

Chapter One

Introduction

1.1 Background of the Study

It is important for health planning for ensuring the provision of quality health services especially in the rural regions of Nigeria where there are more challenges in terms of health issues because of inadequate resources and poor infrastructure. At the heart of this planning exercise is the availability and use of quality data. Health data that is accurate, reliable, and timely serve as the basis for decision-making, resource allocation, and program evaluation in the health sector. The challenge, however, is that the quality of health data in most rural parts of Nigeria is very poor (Adewale, 2019).

In rural health settings, poor quality data can take many forms, such as inaccuracies inconsistencies missing information, and delayed reporting. Usually, these problems are linked to weak health information systems, training of health personnel on data management being insufficient, the limited availability of basic infrastructures like electricity and internet, and lack of standardized data collection tools (Igbinedion & Okpani, 2021). So, health care planning using such data gets weakened, resulting in inefficient allocation of resources, the service delivery models being inappropriate, and the critical health needs of rural communities being overlooked.

Not having good quality data is one of the biggest mayhem in health planning, Mainly in rural areas of Nigeria where health statistics like maternal and child mortality figures are extremely high. Lack of correct data hinders health planning team from identifying priority areas, discovering disease outbreaks, evaluating effectiveness of interventions, and assessing health conditions of the community. That means, the health policies and program implementations may not be in line with the major health issues in the community (Onwujekwe et al. 2018).

Besides, substandard data quality has an impact not only on regional health care organization but also on health strategies at the national level as well as on global reporting commitments. Due to the lack of resilient data systems, governance of the health sector remains weak, and various players in the health sector find it very difficult to assess how well they are doing for the health-related Sustainable Development Goals (SDGs) in Nigeria (World Health Organization [WHO], 2020). This shows that there is a pressing necessity to reinforce health information systems and raise the standard of data to improve the planning and execution of health services in rural areas.

A number of studies have also pointed out that solving problems with data quality calls for a comprehensive solution. Some of the measures include building the capacity of health workers on data management; using standardized methods for data collection and reporting; improving infrastructure; and promoting a culture of using data for decision making (Eze et al., 2022). The improvement of quality of data on health will enable health planners and policymakers to come up with better strategies that can positively impact health in rural areas of Nigeria.

So, one of the biggest obstacles to efficient health care planning in rural Nigeria is a major problem of poor quality health data. Getting to know the problem and its implications must be a major step in creating the interventions that will help the data systems and ultimately the health of the rural populations. First, the paper analyzes the impact of poor data quality on health care planning in rural Nigeria, then it looks at the causes of data quality problems. Lastly, it gives specific guidance on how to develop health information systems that are more capable of supporting better planning and service delivery..

1.2 Problem Statement

Even with the efforts put forth by the Nigerian Government and international organizations to ensure that the quality of health data is improved, there still exist inefficiencies in the data quality emanating from the rural parts of Nigeria (Onwujekwe et al., 2020). The presence of incomplete, inaccurate, and outdated data will result in inefficient health care planning as well as policy interventions, which means that there will be inefficiency in meeting the health demands of the communities. This research is aimed at evaluating the impact of poor quality data on health care planning..

1.3 Objectives of the Study

The primary aim of this study is the analysis of the impact of low-quality data in healthcare planning in rural areas of Nigeria. Specific aims include:

1.     The assessment of the current situation with the quality of health data in rural health facilities of Nigeria.

2.     The investigation of the impact of low-quality data on healthcare planning decision making.

3.     The examination of the factors that hinder access to quality health data in rural areas.

4.     The development of recommendations on how to enhance data quality and healthcare planning.

1.4 Research Questions In order to achieve the above objectives, the research will answer the following questions: 1.     What is the quality status of health data that emanate from the rural health facilities in Nigeria? 2.     What are the consequences of poor data quality on the planning and provision of health care services in the rural settings? 3.     What are the major difficulties that rural health personnel encounter in the process of collecting accurate data? 4.     How can the quality of data be improved for effective health care planning?     1.5 Significance of the Study   Significance of the Study This study is very important in that it highlights an extremely important aspect of rural health systems that is generally overlooked. Improving data quality could result in planning and resource allocation that is more evidence-based, thus improving health outcomes for underprivileged rural populations (Adamu & Garba, 2020). The results of this study could prove beneficial to health policymakers, planners, and development agencies engaged in improving rural health.     1.6 Definition of Terms

•       Data Quality: Consists of the accuracy, completeness, timeliness, and dependability of data collected (WHO, 2020).

•       Health Planning: An activity involving need assessment, resource allocation, and intervention design (Ameh et al., 2017).

•       Rural Areas: Areas that are sparsely populated and lack access to health services (NBS, 2021).

1.7 Definition of Key Terms

Quality of Health Care: The effectiveness of health services in producing positive health outcomes aligned with the latest professional standards.

Health Care Planning: The act of methodically arranging and distributing resources to fulfill the health requirements of a community (WHO, 2018).Rural Areas: Geographical locations away from city centers with few people and less availability of facilities (National Population Commision, 2020).