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
