ABSTRACT
An epidemic free environment enhances the health status of all citizens in the community. The passive disease surveillance and notification systems occasioned by haphazard patient records management practices in the health facilities have led to devastating consequences on epidemic control in Osun State. This is why a sustainable epidemic controldepends on the extent to which patient records management practices and disease surveillance and notification systems issues are given serious consideration by the medical and health officers in local government areas. The extent to which the medical and health professionals pay attention to these patient records management practices and disease surveillance and notification systems issues is not clear. The study, investigated the influence of patient records management practices, diseases surveillance and notification systems on epidemic control in all the local government areas of Osun State, Nigeria.
The survey research design was adopted for the study. The population of the study was three hundred and six (306) medical and health officers in the 30 local government areas of Osun State. Total enumeration technique was used to cover all the 306 health care professionals in the 30 local government areas. A validated questionnaire was the instrument used for data collection. The reliability coefficient for the variables ranged from (α=0.81) to (α=0.89) and the overall Cronbach’s alpha reliability co efficient was (α=0.85). The response rate of 93.1% was obtained anddata were analyzed using descriptive and inferential (simple correlation, Pearson Product Moment Correlation coefficient and regression) statistics.
Findings revealed that a positive and significant relationship existed between patient records management practices(r=.641, p<0.05), disease surveillance and notification systems (r=.732, p<0.05) and epidemic control. Findings further revealed that patient records management practices and disease surveillance and notification systems had joint influence on epidemic control (Adj. R2=.600;F(2,282)=124.071; p<0.05). Results further indicated that the more potent predictor of epidemic control was disease surveillance and notification systems (β=.504; t=8.551; p<0.05) and the second potent predictor is patient records management practices (β=.237; t=4.084; p<0.05).This implies that,the relative influences of patient records management practices and disease surveillance and notification systemshad a significant influence on epidemic control, which means a unit increase in epidemic control activities has a high tendency to improve at the increase in each of the independent variables.
The study concluded that patient records management practices and disease surveillance and notification systems relatively interplayed to influence epidemic control in the local government areas of Osun State. The study recommended that,the medical and health professionals should be exposed to significant training on disease surveillance and notification systems, and patient records management practices, in order to ensure epidemic free environment in the state. The government should employ more health care professionals at health facility level for an effective epidemic control in Osun State.
Keywords: Patient records management practices, Disease notification, Disease
surveillance and notification systems, Epidemic control, Records management practices
Word Count: 459
TABLE OF CONTENTS
Content Page
Title page i
Certification ii
Dedication iii
Acknowledgements iv
Abstract v
Table of Contents vi
List of Tables ix
List of Figure x
Abbreviations xi
Appendices xii
CHAPTER ONE: INTRODUCTION
1.1. Background to the Study 1
1.2. Statement of the Problem 11
1.3. Objective of the Study 11
1.4. Research Questions 12
1.5. Hypotheses 13
1.6. Scope of the Study 13
1.7. Significance of the Study 14
1.8. Operational Definition of Terms 15
CHAPTER TWO: REVIEW OF LITERATURE
2.0 Introduction 16
2.1 Patient Records Management Practices 16
2.1.1 Method of Managing Patient Records 19
2.1.2 Roles of Health Records Management Practitioners 23
2.1.3 Legal and Ethical Issues in Patient Records Management Practices 25
2.1.4 Benefits of patient records management practices to the society 28
2.1.5 Challenges of Patient Records Management Practices 29
2.2 Disease Surveillance and Notification Systems 30
2.2.1 Disease Surveillance 31
2.2.2 Disease Notification 33
Content Page
2.2.3. Integrated Disease Surveillance and Response (IDSR) 35
2.2.3.1 Goal and Objective of Integrated Disease Surveillance and Response 37
2.2.3.2 Integrated Disease Surveillance and Response Methods 38
2.2.4 Methods of Disease Surveillance and Notification Systems 39
2.3 The Concept of Epidemic Control 43
2.3.1 Epidemic Preparedness and Response 43
2.3.2 Epidemic Control Management 46
2.3.3. Conducting Epidemiological Survey 47
2.3.4 Epidemiological Tool 48
2.3.5. Epidemic Control Strategy 49
2.3.6 Epidemic Investigation and Response 50
2.3.7 Epidemic Control Outcomes 53
2.4 Patient Records Management Practices and Disease Surveillance and Notification System 54
2.5. Disease Surveillance and Notification Systems and Epidemic Control 56
2.6. Patient Records Management Practices and Epidemic Control 58
2.7. Patient Records Management Practices, Disease Surveillance and Notification Systems and Epidemic Control 60
2.8 Theoretical Framework 62
2.8.1 The Record Life Cycle 62
2.8.2 Usual Sequence of Event Model 63
2.8.3 Information Sharing for Public Health Action Theory 63
2.8.4 Relevance of the Theories to the Study 64
2.9 Conceptual Model 65
2.11 Appraisal of Literature and Summary 68
CHAPTER THREE: METHODOLOGY
3.0 Introduction 70
3.1. Research Design 70
3.2. Population 70
Content Page
3.3. Sample size and sampling Technique 71
3.4. Instrumentation 72
3.5. Reliability and Validity of Instrument 73
3.6. Method of Data Collection 74
3.7. Method of Data Analysis 75
3.8 Ethical Consideration 76
CHAPTER FOUR: DATA ANALYSIS, RESULTS AND DISCUSSION OF FINDINGS
4.0 Introduction 77
4.1 Socio-Demographic Distribution of Respondents 77
4.2 Testing of Research Questions 80
4.3 Testing of Research Hypotheses 87
4.4 Discussions of Findings 93
CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONS
5.0 Introduction 99
5.1 Summary 99
5.2 Conclusion 101
5.3 Recommendations 101
5.4 Contribution to Knowledge 102
5.4 Limitation of the Study 103
5.5 Suggestion for Further Studies 103
REFERENCES 104
APPENDIX 116
LIST OF TABLES
Table Page
1: Analysis of the Sample Population 72
2: Distribution of instrument used for the pilot study 74
4.1: Demographic distribution of Respondents 77
4.2: Patient records management practices 80
4.3: Existing methods of disease surveillance and notification Systems 82
4.4: Epidemic control activities 84
4.5: Challenges facing patient records management practices and disease surveillance and notification systems 85
4.6: PPMC summary table showing the relationship between patient records management practices and epidemic control activities 88
4.7: PPMC summary table showing the relationship between patient records management practices and disease surveillance and notification systems 89
4.8: PPMC summary table showing the relationship between disease surveillance and notification systems and epidemic control activities 90
4.9: Showing the joint influence of the independent variables on epidemic 91
4.10: showing the relative influence of the independent variables on epidemic 92
LIST OF FIGURE
Figure Page
1: Conceptual Model of the Influence of Patient Records Management Practices, Disease Surveillance and Notification Systems on Epidemic Control 65
ABBREVIATIONS
AFP = Acute Flaccid Paralysis
AIDS= Acquired Immune Deficiency Syndrome
EPRC =Epidemic Preparedness and Response Committee
DSN = Disease Surveillance and Notification
DSNO = Disease Surveillance and Notification Officer
FMOH= Federal Ministry of Health
HIV = Human Immune Deficiency Virus
HRO = Health Records Officer
IDSR = Integrated Disease Surveillance and Response
IDSR-TG = Integrated Disease Surveillance and Response Technical Guidelines
IEC = International Emergency Committee
IHR = International Health Regulation
LGA = Local Government Area
SMOH = State Ministry of Health
WHO = World Health Organization
PPMC =Pearson Product Moment Correlation
RRT = Rapid Response Team
RTA = Road Traffic Accident
AFRO = Regional Office for Africa
Appendix
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