Research Article | | Peer-Reviewed

Cross-Sectional Analysis of Demographic Factors Influencing Health Research Utilization in Nigeria

Received: 30 July 2024     Accepted: 22 August 2024     Published: 11 September 2024
Views:       Downloads:
Abstract

Health research utilization is essential for evidence-based policymaking and the implementation of effective health interventions. This cross-sectional study analyzes demographic factors influencing the utilization of health research in Nigeria, focusing on public health professionals and policymakers. The study employed a cross-sectional descriptive design and used a purposive sampling method to recruit participants from various public health and health policy platforms. Data was collected through a structured questionnaire administered via Google Survey. The study reveals a predominant participation of female respondents (56.5%) and a mean participant age of 41.5 years, with a significant concentration in the 41-50 years age group. The majority hold a master’s degree in public health (58.5%), reflecting the high academic qualifications within the sector. Despite this, the perceived utilization of research findings is overwhelmingly poor, highlighting a substantial gap between research production and practical application. The study finds significant relationships between age and perceptions of research utilization, suggesting that mid-career professionals may have different views on the challenges and opportunities for integrating research into health policy. These findings underscore the need for targeted strategies to enhance the practical application of health research, emphasizing the importance of improving access to research findings and ensuring their relevance to local contexts. This research contributes to understanding the barriers to effective knowledge translation and suggests avenues for fostering a more evidence-based approach to public health in Nigeria.

Published in American Journal of Applied Scientific Research (Volume 10, Issue 3)
DOI 10.11648/j.ajasr.20241003.13
Page(s) 57-64
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Demographic Factors, Health Research Utilization, Public Health Professionals, Policymakers, Evidence-Based Policy-Making, Knowledge Translation

1. Introduction
Health research utilization is a cornerstone of effective public health practice, providing the foundation for evidence-based policymaking and the implementation of interventions aimed at improving population health outcomes. The process of integrating research findings into health policies and practices is multifaceted and influenced by various demographic factors. This introduction explores these factors in depth, highlighting how they shape the use and application of health research by public health professionals and policymakers.
Public health professionals and policymakers rely on a robust body of research to inform decisions and strategies. The utilization of health research is essential for designing interventions that are not only effective but also equitable and sustainable. However, despite the abundance of health research available, its application in real-world settings often falls short. One of the significant barriers to effective health research utilization is the accessibility of research findings. Studies have shown that access to research publications is unevenly distributed, with professionals in low- and middle-income countries facing substantial barriers compared to their counterparts in high-income countries . This disparity can be attributed to a lack of resources, such as subscription-based journal access and insufficient infrastructure for disseminating research findings .
Moreover, the translation of research into practice requires not only access to information but also the ability to critically appraise and apply it appropriately. Educational background and training play a crucial role in this regard. Public health professionals with advanced degrees and specialized training in epidemiology or biostatistics are more likely to utilize research effectively . Conversely, those with limited training may struggle to interpret complex research findings, which can hinder their ability to incorporate evidence into practice.
Another critical factor influencing health research utilization is the relevance of research findings to the local context. Research conducted in high-income countries often dominates the literature, which may not always be applicable to low- and middle-income settings due to differences in disease burden, healthcare infrastructure, and sociocultural factors . For instance, a study on the effectiveness of a particular intervention in a well-resourced urban area in Europe may not be directly translatable to a rural setting in sub-Saharan Africa. This lack of contextual relevance can discourage the use of research findings, as public health professionals and policymakers seek solutions that are tailored to their specific needs and circumstances .
The engagement of public health professionals in the research process itself can also enhance the utilization of health research. When professionals are involved in identifying research questions, designing studies, and interpreting results, they are more likely to value and apply the findings . Collaborative research efforts that include local stakeholders can ensure that the research addresses pertinent issues and produces actionable insights. Furthermore, involving policymakers in the research process can help bridge the gap between evidence and policy, fostering a culture of evidence-based decision-making .
Demographic factors such as age, gender, and ethnicity significantly influence health research utilization. Younger professionals, often more comfortable with digital technology, may have better access to online research databases and are more adept at using advanced search tools to find relevant studies . Gender can also play a role, as women in some settings may face additional challenges in accessing education and professional development opportunities that are crucial for effective research utilization . Ethnicity and cultural background can impact the interpretation and acceptance of research findings, particularly if the research does not consider the specific cultural context of the target population . Socioeconomic status is another critical factor, as individuals from lower socioeconomic backgrounds may have fewer opportunities for higher education and professional training, limiting their ability to engage with and apply health research .
The integration of health research into policy and practice is further influenced by the organizational environment and the availability of supportive infrastructure. Institutions that prioritize evidence-based practice and provide resources such as access to research databases, training in research methods, and opportunities for continuous professional development are more likely to see higher levels of research utilization . Leadership within public health organizations also plays a pivotal role in fostering a culture of research utilization. Leaders who champion the use of evidence in decision-making can influence their teams to value and apply research findings, creating an environment where evidence-based practice is the norm .
The dissemination of research findings is another critical aspect of health research utilization. Traditional methods of dissemination, such as publication in peer-reviewed journals, may not reach all relevant stakeholders, particularly those in resource-limited settings. Innovative dissemination strategies, including open-access publishing, policy briefs, and knowledge translation platforms, can help bridge this gap. Additionally, the use of digital and social media can enhance the reach and impact of research findings, making them more accessible to a broader audience .
2. Method
2.1. Study Design
The study employed a cross-sectional descriptive design. This approach was chosen to gather data on the utilization of research findings in health within Nigeria, to identify perceived barriers to such utilization, and to develop recommendations for improving the use of research findings in health.
2.2. Sampling Technique
A purposive sampling method was utilized to recruit participants from various public health professional and health policy maker platforms. This method was selected to focus on individuals with specific characteristics relevant to the study, namely, those involved in public health research and the utilization of research findings for health policy and intervention development. Given the unknown and potentially uneven distribution of these professionals, purposive sampling was deemed appropriate.
2.3. Data Collection
Data was collected using a structured questionnaire administered via Google Survey. The questionnaire was designed to capture quantitative data on several aspects, including:
1) Demographic characteristics of respondents
2) Perceived utilization of research findings in health
3) Effective systems for the dissemination and utilization of research findings
4) The importance of utilizing research findings
5) Challenges and barriers to the utilization of research findings
6) Recommendations for improving the utilization of research findings
The questionnaire was pre-tested for validity and necessary adjustments were made before full deployment. The survey link was distributed through various public health and related social media and email platforms, inviting voluntary participation from public health professionals and health policy makers across Nigeria.
2.4. Ethical Considerations
To ensure ethical compliance, the study adhered to the following guidelines:
Anonymity and Confidentiality: No names or contact information were requested from participants, ensuring their anonymity. Collected data was kept confidential and securely stored with password protection.
Informed Consent: Participants were informed about the study's purpose in a language they could easily understand, and their consent was obtained. Participation was voluntary, with respondents free to withdraw at any stage without any coercion.
Voluntary Participation: Respondents were not coerced into participating and were informed that they could withdraw at any time.
Data Protection: All collected information was kept confidential and protected from unauthorized access.
These measures were in place to comply with scientific principles and international ethical guidelines for research involving human subjects.
3. Result
3.1. Socio-Demographic Characteristics of Respondents
Table 1 shows that there are more females (56.5%) than male (43.5%) respondents. Participants mean age was 41.5. There were more respondents (30.1%) from age group 41 to 50years followed with age group 31 to 41years (28.1%), 51-60years (20.1%), 21-30years (18.9%), and age group 61years and above (2.8%).
Majority, (58.5%) had master’s degree in public health while 13.7% had Doctorate degree in Public Health, 6.7% had bachelor’s degree in public health and 21.1% had non-public health degree. Majority of the respondents (78.1%) are from the Public Health Professional work area while 21.9% are from the Health Policy maker work area.
Table 1. Socio-demographic characteristics of the research participants N=402.

Socio-demographic characteristics

No of respondents

Percent (%)

Sex

Male

175

43.5

Female

227

56.5

Total

402

100

Age

21-30 years

76

18.9

31-40 years

113

28.1

41-50 years

121

30.1

51-60 years

81

20.1

61 years & above

11

2.8

Total Mean age was 41.5

402

100

Educational Level

Bachelor Public Health

27

6.7

Master’s in Public Health

235

58.5

Doctorate in Public Health

55

13.7

Non-Public Health Degree

85

21.1

Total

402

100

Work Area

No of respondents

Percent (%)

Public Health Professional

314

78.1

Health Policy Maker

88

21.9

Total

402

100

3.2. Participants Perception of Whether Research Findings Are Being Utilized in Heath in Nigeria
From table 2, Out of the total 175 male respondents, 28.0% indicated that research findings are being utilized in heath in Nigeria, while 27.0% of the total 227 female respondents indicated that research findings are being utilized in heath in Nigeria. Chi square value is 0.528 and p value is 0.768, showing no significant relationship between gender and participants perception of whether research findings are being utilized in heath in Nigeria.
More proportion (36.0%) of those aged 51-60years and 21-30years alike, indicted that research findings are being utilized in heath in Nigeria, than those aged 31-40years (30.0%), 41-50years (16.0%) and those aged 61 and above (18.0%), Chi square value is 18.377 and p value is 0.019, showing significant relationship between age group and participants perception of whether research findings are being utilized in heath in Nigeria.
More proportion (33.0%) of those with bachelor’s degree in public health indicted that research findings are being utilized in heath in Nigeria, followed by those with doctorate degree in Public Health and non-Public Health degree alike (31.0%), followed with those with master’s degree in public health (25.0%). Chi square value is 4.669 and p value is 0.587, showing no significant relationship.
Also, 29.0% of the total 314 respondents who are in the Public Health Professional work area indicated that research findings are being utilized in heath in Nigeria than those in the Health Policy work area (23.0%). Chi square value is 2.645 and p value is 0.267, showing no significant relationship between work area and participants perception of whether research findings are being utilized in heath in Nigeria.
Table 2. Participants Perception of whether research findings are being utilized in heath in Nigeria.

Participants Perception of whether research findings are being utilized

Demographic Variables

Yes

No

Not Sure

Total

X2

P-value

Sex

Male

49 (28%)

77 (44%)

49 (28%)

175 (100%)

0.528

0.768

Female

62 (27%)

94 (42%)

71 (31%)

227 (100%)

Total

111

171

120

402

Age

21-30 years

27 (36%)

25 (33%)

24 (31%)

76 (100%)

18.377

0.019

31-40 years

34 (30%)

52 (46%)

27 (24%)

113 (100%)

41-50 years

19 (16%)

61 (50%)

41 (34%)

121 (100%)

51-60 years

29 (36%)

27 (33%)

25 (31%)

81 (100%)

61 years & above

2 (18%)

6 (55%)

3 (27%)

11 (100%)

Total

111

171

120

402

Educational Qualification

Bachelor Public Health

9 (33%)

10 (37%0

8 (30%)

27 (100%)

4.669

0.587

Master’s in Public Health

59 (25%)

99 (42%)

77 (33%)

235 (100%)

Doctorate -Public Health

17 (31%)

27 (49%)

11 (20%)

55 (100%)

Non-Public Health Degree

26 (31%)

35 (41%)

24 (28%)

85 (100%)

Total

111

171

120

402

Work Area

Public Health Professional

91 (29%)

135 (43%)

88 (28%)

314 (100%)

2.645

0.267

Health Policy Maker

20 (23%)

36 (41%)

32 (36%)

88 (100%)

Total

111

171

120

402

3.3. Participants Perceived Level of Utilization of Research Findings in Heath in Nigeria
From figure 1, majority of participants (69.4%) perceived the level of utilization of research findings in heath in Nigeria to be poor (45.5%) and very poor (23.9%).
In table 3, More proportion of females (25.6%) indicated very poor as their perceived level of utilization of research findings in heath in Nigeria than the male respondents (21.7%). Chi square value is 1.765 and p value is 0.779, showing no significant relationship between gender and perceived level of utilization of research findings in heath in Nigeria.
More proportion of age group 61 years & above (45.5%) indicated very poor as their perceived level of utilization of research findings in heath in Nigeria more than those of aged 31-40 years (26.5%), 41-50 years (24.8%), 51-60 years (23.5%), and 21-30 years (15.8%). On the other hand, more proportion of age group 41-50 years (57.9%) indicated poor as their perceived level of utilization of research findings in heath in Nigeria more than those of aged 51-60 years (43.2%), 31-40 years (41.6%), 21-30 years (36.8%) and 61 years & above (27.3%). Chi square value is 31.345 and p value is 0.012, showing significant relationship between age group and perceived level of utilization of research findings in heath in Nigeria.
Also in table 3, More proportion of respondents with Doctorate in Public Health (30.9%) indicated very poor as their perceived level of utilization of research findings in heath in Nigeria than those with Bachelor Public Health (25.9%), Master’s in Public Health (25.5%) and those with Non-Public Health Degree (14.1%). Chi square value is 13.418 and p value is 0.339, showing no significant relationship between Educational Qualification and perceived level of utilization of research findings in heath in Nigeria.
More respondents in the work area of Health Policy Maker indicated poor as their perceived level of utilization of research findings in heath in Nigeria than those in the work area of Public Health Professionals (43.0%). Chi square value is 4.468 and p value is 0.346, showing no significant relationship between work area and perceived level of utilization of research findings in heath in Nigeria.
Table 3. Participants Perceived Level of utilization of research findings in heath in Nigeria.

Participants Perceived Level of utilization of research findings in heath in Nigeria

Demographic Variables

Very poor

Poor

Fair Good

Very Good

Excellent

Total

X2

P-value

Sex

Male

38 (21.7%)

80 (45.7%)

52 (29.7%)

3 (1.7%)

2 (1.1%)

175 (100%)

1.765

0.779

Female

58 (25.6%)

103 (45.4%)

60 (26.4%)

5 (2.2%)

1 (0.4%)

227 (100%)

Total

96

183

112

8

3

402

Age

21-30 years

12 (15.8%)

28 (36.8%)

31 (40.8%)

4 (5.3%)

1 (1.3%)

76 (100%)

31.345

0.012

31-40 years

30 (26.5%)

47 (41.6%)

34 (30.1%)

2 (1.8%)

0 (0%)

113 (100%)

41-50 years

30 (24.8%)

70 (57.9%)

18 (14.9%)

2 (1.7%)

1 (0.8%)

121 (100%)

51-60 years

19 (23.5%)

35 (43.2%)

26 (32.1%)

0 (0%)

1 (1.2%)

81 (100%)

61 years & above

5 (45.5%)

3 (27.3%)

3 (27.3%)

0 (0%)

0 (0%)

11 (100%)

Total

96

183

112

8

3

402

Educational Qualification

Bachelor Public Health

7 (25.9%)

16 (59.3%)

3 (11.1%)

1 (3.7%)

0 (0%)

27 (100%)

13.418

0.339

Master’s in Public Health

60 (25.5%)

101 (43.0%)

67 (28.5%)

5 (2.1%)

2 (0.9%)

235 (100%)

Doctorate -Public Health

17 (30.9%)

21 (38.2%)

17 (30.9%)

0 (0%)

0 (0%)

55 (100%)

Non-Public Health Degree

12 (14.1%)

45 (52.9%)

25 (29.4)

2 (2.4%)

1 (1.2%)

85 (100%)

Total

96

183

112

8

3

402

Work Area

Public Health Professional

78 (24.8%)

135 (43.0%)

91 (29.0%)

7 (2.2%)

3 (1.0%)

314 (100%)

4.468

0.346

Health Policy Maker

18 (20.5%)

48 (54.5%)

21 (23.9%)

1 (1.1%)

0 (0%)

88 (100%)

Total

96

183

112

8

3

402

Figure 1. Participants Perceived Level of utilization of research findings in heath in Nigeria.
4. Discussion
4.1. Socio-Demographic Characteristics of Respondents
The study’s findings, as presented in Table 1, reveal a predominance of female respondents (56.5%) compared to males (43.5%), with the mean age of participants being 41.5 years. This gender distribution aligns with trends observed in the public health sector where females often outnumber males, particularly in academic and policy-making roles . The age distribution shows a higher concentration of respondents in the 41-50 years age group (30.1%), followed by those in the 31-40 years range (28.1%), which suggests that mid-career professionals are the primary participants. This could indicate a robust engagement in continuous professional development among these age groups . Educationally, a significant majority (58.5%) of respondents hold a master’s degree in public health, with a smaller percentage (13.7%) having attained a Doctorate in Public Health, reflecting the high level of academic qualification typically required in the field . Interestingly, 21.1% of the participants possess non-public health degrees, indicating a diverse educational background among public health workers, which is beneficial for interdisciplinary approaches in health policy and practice . The professional background of the respondents predominantly consists of Public Health Professionals (78.1%), compared to Health Policy Makers (21.9%), suggesting a potentially greater focus on the practical application of public health research among the survey population. This demographic distribution underscores the importance of targeted strategies for improving research utilization across different educational and professional cohorts within the public health domain .
4.2. Participants Perception of Whether Research Findings Are Being Utilized in Heath in Nigeria
The findings from the research shows that research findings appear not to be utilized in health in Nigeria. Majority of the respondents are of the opinion that research findings are not utilized to improve the health and wellbeing of people. Meanwhile out of the few participants who indicated that research findings are being utilized in heath in Nigeria, there is significant relationship between age group and participants perception of whether research findings are being utilized in heath in Nigeria. This is in line with research carried out by Walugembe DR et al. and Hanney SR et al.
4.3. Participants Perceived Level of Utilization of Research Findings in Heath in Nigeria
Finding from this research indicated that the level of utilization of research findings in health in Nigeria, is poor. Majority of participants perceived the level of utilization of research findings in heath in Nigeria to be poor. This is in concordance with and also in line with . There is a significant relationship between age group and perceived level of utilization of research findings in heath in Nigeria.
5. Conclusion
The study reveals critical insights into the socio-demographic characteristics and perceptions of public health professionals and policymakers regarding the utilization of research findings in Nigeria. The predominance of female respondents and the concentration of participants in mid-career stages highlight a trend towards gender diversity and continuous professional development in the sector. Despite the high educational qualifications of the respondents, with a significant number holding Master’s and Doctorate degrees, the perceived level of research utilization in health is overwhelmingly poor. The findings indicate a substantial gap between research production and practical application in improving health outcomes, aligning with previous studies that underscore systemic barriers to effective knowledge translation. The significant relationship between age and perception of research utilization suggests that younger and mid-career professionals may have different views on the challenges and opportunities for applying research in health policy and practice. These insights emphasize the need for targeted strategies to enhance the integration of research findings into health initiatives, fostering a more evidence-based approach to public health in Nigeria.
Abbreviations

ASPPH

Association of Schools and Program of Public Health

FHI360

Family Health International

LMICs

Low- and Medium-Income Countries

NGO

Non-Governmental Organization

WHO

World Health Organization

Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Hanney SR, Gonzalez-Block MA, Buxton MJ, Kogan M. The utilisation of health research in policy-making: concepts, examples and methods of assessment. Health Res Policy Syst. 2003; 1(1): 2.
[2] Aronson JK, Barends E, Boruch R, Brennan M, Chalmers I, Chislett J, Cunliffe-Jones P, Dahlgren A, Gaarder M, Haines A, Heneghan C, Matthews R, Maynard B, Oxman AD, Oxman M, Pullin A, Randall N, Roddam H, Schoonees A, Sharples J, Stewart R, Stott J, Tallis R, Thomas N, Vale L. Key concepts for making informed choices. Nature. 2019; 572(7769): 303-306.
[3] Dobbins M, Cockerill R, Barnsley J, Ciliska D. Factors of the innovation, organization, environment, and individual that predict the influence five systematic reviews had on public health decisions. Int J Technol Assess Health Care. 2001; 17(4): 467-478.
[4] Nchinda TC. Research capacity strengthening in the South. Soc Sci Med. 2002; 54(11): 1699-1711.
[5] Hyder AA, Corluka A, Winch PJ, El-Shinnawy A, Ghassany H, Malekafzali H, Lim MK, Mfutso-Bengo J, Segura E, Ghaffar A. National policy-makers speak out: are researchers giving them what they need? Health Policy Plan. 2011; 26(1): 73-82.
[6] Brownson RC, Fielding JE, Maylahn CM. Evidence-based public health: a fundamental concept for public health practice. Annu Rev Public Health. 2009; 30: 175-201.
[7] Nyström ME, Karltun J, Keller C, et al. Collaborative and partnership research for improvement of health and social services: researcher’s experiences from 20 projects. Health Res Policy Syst. 2018; 16: 46.
[8] Clarke MA, Fruhling AL, Sitorius M, Windle TA, Bernard TL, Windle JR. Impact of age on patients' communication and technology preferences in the era of meaningful use: mixed methods study. J Med Internet Res. 2020; 22(6): e13470.
[9] Langer A, Meleis A, Knaul FM, Atun R, Aran M, Arreola-Ornelas H, Bhutta ZA, Binagwaho A, Bonita R, Caglia JM, Claeson M, Davies J, Donnay FA, Gausman JM, Glickman C, Kearns AD, Kendall T, Lozano R, Seboni N, Sen G, Sindhu S, Temin M, Frenk J. Women and health: the key for sustainable development. Lancet. 2015; 386(9999): 1165-1210.
[10] Kagawa-Singer M, Dadia AV, Yu MC, Surbone A. Cancer, culture, and health disparities: time to chart a new course? CA Cancer J Clin. 2010; 60(1): 12-39.
[11] Lorenc T, Petticrew M, Whitehead M, et al. Crime, fear of crime and mental health: synthesis of theory and systematic reviews of interventions and qualitative evidence. Southampton (UK): NIHR Journals Library; 2014 Mar. (Public Health Research, No. 2.2.) Available from:
[12] Haldane V, Chuah FLH, Srivastava A, Singh SR, Koh GCH, Seng CK, Legido-Quigley H. Community participation in health services development, implementation, and evaluation: a systematic review of empowerment, health, community, and process outcomes. PLoS One. 2019; 14(5): e0216112.
[13] Dobbins M, Robeson P, Ciliska D, et al. A description of a knowledge broker role implemented as part of a randomized controlled trial evaluating three knowledge translation strategies. Implementation Sci. 2009; 4: 23.
[14] Bero LA, Grilli R, Grimshaw JM, Harvey E, Oxman AD, Thomson MA. Closing the gap between research and practice: an overview of systematic reviews of interventions to promote the implementation of research findings. BMJ. 1998; 317(7156): 465-468.
[15] World Health Organization. Delivered by women, led by men: a gender and equity analysis of the global health and social workforce. World Health Organization. 2019.
[16] Campos-Serna J, Ronda-Pérez E, Artazcoz L, et al. Gender inequalities in occupational health related to the unequal distribution of working and employment conditions: a systematic review. Int J Equity Health. 2013; 12: 57.
[17] Sellers K, Leider JP, Gould E, Castrucci BC, Beck A, Bogaert K, Coronado F, Shah G, Yeager V, Beitsch LM, Erwin PC. The state of the US governmental public health workforce, 2014-2017. Am J Public Health. 2019; 109(5): 674-680.
[18] Gohar F, Maschmeyer P, Mfarrej B, Lemaire M, Wedderburn LR, Roncarolo MG, van Royen-Kerkhof A. Driving medical innovation through interdisciplinarity: unique opportunities and challenges. Front Med (Lausanne). 2019; 6: 35.
[19] Grimshaw JM, Eccles MP, Lavis JN, et al. Knowledge translation of research findings. Implementation Sci. 2012; 7: 50.
[20] Walugembe DR, Kiwanuka SN, Matovu JKB, et al. Utilization of research findings for health policy making and practice: evidence from three case studies in Bangladesh. Health Res Policy Syst. 2015; 13: 26.
[21] Hirvonen M. Research into Use: An Institutional History of The RIU Nigeria Country Programme. DFID. 2011.
[22] Duze CO. Awareness, availability and utilization of research findings in building the education sector for sustainable development. Makerere J Higher Educ. 2011; 3(1): 91–100.
[23] Stephenson R. Using research to inform health policy: barriers and strategies in developing countries. J Health Commun. 2005; 10(2): 163-180.
Cite This Article
  • APA Style

    Avwerhota, M., Daniel, E. O., Avwerhota, O. O., Popoola, T. A., Popoola, I. O., et al. (2024). Cross-Sectional Analysis of Demographic Factors Influencing Health Research Utilization in Nigeria. American Journal of Applied Scientific Research, 10(3), 57-64. https://doi.org/10.11648/j.ajasr.20241003.13

    Copy | Download

    ACS Style

    Avwerhota, M.; Daniel, E. O.; Avwerhota, O. O.; Popoola, T. A.; Popoola, I. O., et al. Cross-Sectional Analysis of Demographic Factors Influencing Health Research Utilization in Nigeria. Am. J. Appl. Sci. Res. 2024, 10(3), 57-64. doi: 10.11648/j.ajasr.20241003.13

    Copy | Download

    AMA Style

    Avwerhota M, Daniel EO, Avwerhota OO, Popoola TA, Popoola IO, et al. Cross-Sectional Analysis of Demographic Factors Influencing Health Research Utilization in Nigeria. Am J Appl Sci Res. 2024;10(3):57-64. doi: 10.11648/j.ajasr.20241003.13

    Copy | Download

  • @article{10.11648/j.ajasr.20241003.13,
      author = {Michael Avwerhota and Ebenezer Obi Daniel and Oladayo Olarinre Avwerhota and Taiwo Aderemi Popoola and Israel Olukayode Popoola and Adebanke Adetutu Ogun and Ahmed Mamuda Bello and Michael Olabode Tomori and Aisha Oluwakemi Salami and Celestine Emeka Ekwuluo and Olukayode Oladeji Alewi and Aremu Bukola Janet},
      title = {Cross-Sectional Analysis of Demographic Factors Influencing Health Research Utilization in Nigeria
    },
      journal = {American Journal of Applied Scientific Research},
      volume = {10},
      number = {3},
      pages = {57-64},
      doi = {10.11648/j.ajasr.20241003.13},
      url = {https://doi.org/10.11648/j.ajasr.20241003.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20241003.13},
      abstract = {Health research utilization is essential for evidence-based policymaking and the implementation of effective health interventions. This cross-sectional study analyzes demographic factors influencing the utilization of health research in Nigeria, focusing on public health professionals and policymakers. The study employed a cross-sectional descriptive design and used a purposive sampling method to recruit participants from various public health and health policy platforms. Data was collected through a structured questionnaire administered via Google Survey. The study reveals a predominant participation of female respondents (56.5%) and a mean participant age of 41.5 years, with a significant concentration in the 41-50 years age group. The majority hold a master’s degree in public health (58.5%), reflecting the high academic qualifications within the sector. Despite this, the perceived utilization of research findings is overwhelmingly poor, highlighting a substantial gap between research production and practical application. The study finds significant relationships between age and perceptions of research utilization, suggesting that mid-career professionals may have different views on the challenges and opportunities for integrating research into health policy. These findings underscore the need for targeted strategies to enhance the practical application of health research, emphasizing the importance of improving access to research findings and ensuring their relevance to local contexts. This research contributes to understanding the barriers to effective knowledge translation and suggests avenues for fostering a more evidence-based approach to public health in Nigeria.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Cross-Sectional Analysis of Demographic Factors Influencing Health Research Utilization in Nigeria
    
    AU  - Michael Avwerhota
    AU  - Ebenezer Obi Daniel
    AU  - Oladayo Olarinre Avwerhota
    AU  - Taiwo Aderemi Popoola
    AU  - Israel Olukayode Popoola
    AU  - Adebanke Adetutu Ogun
    AU  - Ahmed Mamuda Bello
    AU  - Michael Olabode Tomori
    AU  - Aisha Oluwakemi Salami
    AU  - Celestine Emeka Ekwuluo
    AU  - Olukayode Oladeji Alewi
    AU  - Aremu Bukola Janet
    Y1  - 2024/09/11
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ajasr.20241003.13
    DO  - 10.11648/j.ajasr.20241003.13
    T2  - American Journal of Applied Scientific Research
    JF  - American Journal of Applied Scientific Research
    JO  - American Journal of Applied Scientific Research
    SP  - 57
    EP  - 64
    PB  - Science Publishing Group
    SN  - 2471-9730
    UR  - https://doi.org/10.11648/j.ajasr.20241003.13
    AB  - Health research utilization is essential for evidence-based policymaking and the implementation of effective health interventions. This cross-sectional study analyzes demographic factors influencing the utilization of health research in Nigeria, focusing on public health professionals and policymakers. The study employed a cross-sectional descriptive design and used a purposive sampling method to recruit participants from various public health and health policy platforms. Data was collected through a structured questionnaire administered via Google Survey. The study reveals a predominant participation of female respondents (56.5%) and a mean participant age of 41.5 years, with a significant concentration in the 41-50 years age group. The majority hold a master’s degree in public health (58.5%), reflecting the high academic qualifications within the sector. Despite this, the perceived utilization of research findings is overwhelmingly poor, highlighting a substantial gap between research production and practical application. The study finds significant relationships between age and perceptions of research utilization, suggesting that mid-career professionals may have different views on the challenges and opportunities for integrating research into health policy. These findings underscore the need for targeted strategies to enhance the practical application of health research, emphasizing the importance of improving access to research findings and ensuring their relevance to local contexts. This research contributes to understanding the barriers to effective knowledge translation and suggests avenues for fostering a more evidence-based approach to public health in Nigeria.
    
    VL  - 10
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Method
    3. 3. Result
    4. 4. Discussion
    5. 5. Conclusion
    Show Full Outline
  • Abbreviations
  • Conflicts of Interest
  • References
  • Cite This Article
  • Author Information