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