Research Article | | Peer-Reviewed

Unveiling Barriers to Universal Health Coverage: A Cross-Sectional Assessment of the Demand-Side Viewpoints in Northwest Region-Cameroon

Received: 21 March 2025     Accepted: 31 March 2025     Published: 29 April 2025
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Abstract

Universal Health Coverage (UHC) aims to ensure that everyone has access to quality health services without suffering financial hardship. Health services must be culturally acceptable; otherwise, utilization will remain low despite availability. The understandings and attitudes toward UHC differ across populations, impacting its implementation. This study assessed the knowledge, attitudes, and perceptions of UHC, analyzed the factors associated with these views, and examined the users’ preferences for UHC in terms of healthcare provider choice, payment schemes, and factors predicting these choices. This study was conducted in the Northwest Region of Cameroon, with over 3 million inhabitants, in a humanitarian crisis since 2016. A cross-sectional survey included 417 respondents selected through multistage sampling from 20 health districts. Data were collected through face-to-face interviews using pretested questionnaires. Data was entered and analyzed using Excel and SPSS. The association between variables was studied using the Chi-squared test, Student’s t-test, and Analysis of Variance (ANOVA). A multiple linear regression was done to eliminate the effect of confounders influencing knowledge and attitudes toward UHC. Ethical considerations included informed consent, data confidentiality, and compliance with the Regional Ethical Committee for Human Health Research (CERSH). Most respondents (77%) had heard of UHC, but only 32.3% knew it reduces out-of-pocket costs. Three-quarters were unaware of the government's UHC goals. While 82.5% desired universal access to cost-effective healthcare, only 6.4% had a good perception of UHC. Nonetheless, 83.3% wanted a National Health Insurance Scheme (NHIS), and 70% wanted it to be compulsory. Higher knowledge scores were found in older age groups (p=0.020), urban residents (p=0.015), private-sector employees (p<0.001), and those with free healthcare access (p<0.001). Regarding UHC plan choices, 51.0% had no preference for private or public hospitals, 48.1% believed the government should cover all costs, while 38.0% wanted a mixture, with the wealthier paying more. This study shows significant gaps in knowledge and perceptions of UHC among the population. While there is a strong desire for cost-effective healthcare access, awareness of government initiatives and UHC mechanisms remains low. Policy implications include the need for targeted educational campaigns on UHC. Additionally, considering a compulsory NHIS could foster greater community participation and support backed by their strong willingness to contribute to the NHIS. This will definitely build a resilient health system.

Published in Central African Journal of Public Health (Volume 11, Issue 2)
DOI 10.11648/j.cajph.20251102.14
Page(s) 70-83
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), 2025. Published by Science Publishing Group

Keywords

Barriers to UHC, Demand-side Views, Anglophone Crisis, Healthcare Financing, Universal Health Coverage, Cameroon

1. Introduction
Achieving Universal Health Coverage (UHC) is essential for improving health outcomes, reducing inequalities, and fostering resilient healthcare systems. In the Northwest Region of Cameroon, where conflict and economic disparities compound healthcare challenges, addressing barriers to UHC is a critical step toward equitable access to healthcare services. Despite global advancements, more than half of the world’s population lacks essential healthcare services, and Cameroon is no exception . Efforts to implement UHC in Cameroon have made progress, but financial, cultural, and infrastructural barriers continue to impede access, especially for vulnerable populations . Understanding these demand-side barriers, particularly in conflict-affected regions, is vital for tailoring solutions that ensure healthcare is not just available but accessible and utilized . With UHC aligned with global goals like the Sustainable Development Goals (SDGs), specifically SDG 3 , the stakes are high for Cameroon to address these challenges head-on. Only by investigating and addressing these barriers can Cameroon move closer to achieving equitable healthcare for all.
Previous research has demonstrated the significance of UHC in addressing global health inequalities, improving access to essential services, and protecting individuals from financial hardship . Studies have shown that UHC contributes to poverty eradication (SDG 1) and gender equality (SDG 5) by improving access to maternal healthcare and reducing out-of-pocket expenses . However, despite these benefits, challenges persist in low- and middle-income countries, including Cameroon, where financial barriers, healthcare infrastructure gaps, and cultural factors continue to hinder UHC's implementation . While research has highlighted the supply-side barriers, there is limited focus on the demand-side factors—such as income, health literacy, and cultural norms—that influence healthcare utilization . This study aims to fill this gap by specifically exploring the demand-side barriers in the conflict-affected Northwest Region of Cameroon. Understanding these factors is crucial for designing context-specific interventions to make healthcare more accessible and equitable, addressing not just availability but also actual utilization of services.
Our objective was to explore the demand-side barriers to UHC in the Northwest Region of Cameroon, where healthcare challenges have been made worse by an ongoing humanitarian crisis. First, we assessed the knowledge, attitudes, and perceptions of UHC among the population, highlighting their understanding of the concept. Second, we analyzed the factors associated with these views, examining how socio-demographic variables, health literacy, and cultural norms shape perceptions of UHC. Third, we investigated the population's preferences regarding healthcare provider choice, financing mechanisms, and payment schemes. By exploring these demand-side perspectives, this study provides valuable insights for policymakers seeking to improve UHC implementation in Cameroon. Understanding these preferences and barriers is crucial for designing tailored interventions that ensure equitable access to healthcare and foster community support for UHC initiatives.
2. Methods
2.1. Study Setting
This study was conducted in the Northwest Region of Cameroon, a region known for its cultural diversity, agricultural importance, and geographic diversity, including both urban and rural areas. The region’s population of over 3 million people includes various ethnic groups, such as the Tikari, Widikum, Fulani, and Moghamo, whose differing cultural backgrounds provide a rich context for analyzing perspectives on UHC . Importantly, the region has been severely impacted by a protracted Anglophone crisis since 2016, which has disrupted healthcare, education, and livelihoods. These crises have further strained the healthcare system, particularly in rural areas where access to care is limited . The selection of this setting allows for an in-depth understanding of the demand-side readiness for UHC in a conflict-affected and socio-economically diverse environment.
2.2. Study Design
This study employed a cross-sectional observational design to assess the knowledge, attitudes, and perceptions of UHC in the Northwest Region of Cameroon. Cross-sectional studies are well-suited for examining relationships at a single point in time, making them ideal for understanding the population’s current stance on UHC, especially in the context of a region impacted by the Anglophone crisis. This design enabled the researchers to capture data from a diverse set of urban and rural participants, providing a snapshot of demand-side readiness for UHC. Stratified sampling was used to ensure demographic and geographical diversity, while random sampling was employed at the household level to avoid selection bias.
The study used structured survey questionnaires to gather quantitative data related to knowledge, attitudes, socio-demographic factors, and preferences for UHC financing. The choice of this study design aligns with the aim of exploring how socio-economic factors influence health-seeking behaviors and UHC perceptions. This methodology adheres to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines, ensuring strong reporting of observational studies . This approach is appropriate as it allows for the comprehensive exploration of factors relevant to UHC uptake in a conflict-affected, socio-economically diverse region.
2.3. Data Collection
Data collection for this cross-sectional study was conducted by trained interviewers who were supervised by a team of experienced health researchers. The interviewers were selected based on their familiarity with the Northwest Region of Cameroon and were trained to ensure consistency in data collection methods. Regular supervision and monitoring were conducted by the research team to maintain data quality and adherence to standardized protocols. The data were collected using structured survey questionnaires that covered key areas of interest. These included socio-demographic information, knowledge of UHC, attitudes toward healthcare financing, healthcare-seeking behavior, and preferences for UHC payment schemes. The questionnaire was tailored to the objectives of the study and adapted from validated tools used in previous UHC-related research . Where necessary, the tools were modified to fit the local context, and pilot testing was conducted to ensure clarity and relevance.
Data collection was conducted across all 20 health districts in the Northwest Region of Cameroon, encompassing both urban and rural settings. This geographical spread was vital to capturing a broad spectrum of socio-economic and demographic perspectives on UHC. The surveys were administered face-to-face, enabling engagement with households in remote areas where healthcare access is often limited. Data collection spanned a three-month period, from July 9th to September 28th, 2023. A total of 400 households were selected using a multistage sampling technique. To ensure representativeness, all 20 health districts were included. Within each district, specific health areas were randomly selected. Subsequently, households were sampled proportionately within each health area, reflecting the population distribution. Representativeness in this context was defined by proportional inclusion across districts based on the most recent population estimates from the Regional Delegation of Public Health. The sample size was calculated using Cochran’s formula for large populations, with a 95% confidence level and a 5% margin of error, which is in line with standard recommendations for household surveys. To ensure data quality, the research team employed a structured data validation process, including double data entry using Excel and SPSS. These tools were also used for the rigorous data analysis. Outliers and missing data were managed through consistency checks, logical imputation where appropriate, and removal of responses that failed completeness criteria. Supervisory field checks were conducted throughout to ensure adherence to methodological consistency.
2.4. Data Analysis
To achieve the study objectives, a detailed data analysis process was undertaken using Excel and SPSS software. First, data management and cleaning were performed to ensure accuracy and consistency, including handling missing data, outlier detection, and correcting data entry errors. The data were then analyzed based on the study objectives, focusing on both qualitative and quantitative outcomes.
For descriptive purposes, qualitative data were presented using counts and percentages, offering an overview of the population’s socio-demographic characteristics, healthcare-seeking behavior, and attitudes toward UHC. Quantitative data were summarized using means and standard deviations, describing variables such as knowledge levels, attitudes, and perceptions of UHC. Participants' knowledge, attitudes, and perceptions of UHC were categorized into poor (<25%), inappropriate (25-49%), acceptable (50-70%), and good (>70%). These classifications facilitated the analysis of responses, highlighting areas for improvement in understanding and acceptance of UHC principles among the population.
To examine associations between categorical variables (such as knowledge and attitudes toward UHC) and demographic factors, the Chi-squared test (or Fisher’s exact test, where appropriate) was applied. Continuous variables were analyzed using the Student’s t-test and ANOVA to compare means across different groups. In order to control for confounding variables that could influence knowledge and attitudes toward UHC, a multiple linear regression analysis was conducted. This allowed for adjusting the effects of socio-demographic variables, such as age, income, and education level, on key outcomes. The results are presented in the following order: first, descriptive statistics of the population; second, analysis of the associations between key demographic factors and UHC knowledge and attitudes; and finally, the findings from the multiple linear regression analysis are discussed to explore the most significant predictors of UHC awareness and attitudes.
2.5. Ethics
This study was conducted in full compliance with ethical standards for human health research, as approved by the Regional Ethical Committee for Human Health Research (CERSH) in the Northwest Region of Cameroon. Ethical considerations were rigorously upheld throughout the research process. Informed consent was obtained from all participants prior to data collection, ensuring they understood the study's objectives, their role in the study, and their rights, including the right to withdraw at any time without repercussions.
To protect participants' privacy, personal information was anonymized, and all data were securely stored and accessed only by authorized research personnel. Confidentiality was strictly maintained, and no identifying information was disclosed in any part of the study's reporting. Additionally, ethical guidelines concerning vulnerable populations, particularly in the context of the ongoing Anglophone crisis, were adhered to, ensuring that participation was voluntary and non-coercive.
3. Results
3.1. Socio-demographic Characteristics
The study collected data on key demographic, educational, and socio-economic variables. The largest age group among participants was 21-30 years, making up 44.0% of the sample; > 70 years (2.6%). Gender distribution was relatively balanced, with females constituting 57.2%. Educational background varied: 34.2% had completed secondary education, 33.5% had tertiary education, and 25.8% had primary education, with 6.5% having no formal education. Occupation-wise, self-employed individuals represented the largest group (33.3%), followed by students (20.1%), while public sector workers constituted the least (15.6%). Marital status was diverse, with 48.8% married and 40.9% single. Most participants were Christian (81.3%), followed by Muslims (17.5%). We found out that only 12.7% of participants had ever had any form of health insurance. Furthermore, only 25.6% of respondents reported having ever had access to free healthcare. See Table 1: Presentation of demographic statistics.
Table 1. Presentation of demographic statistics.

Variables

Number (n=418)

Percentage (%)

Age groups

≤20

25

6.0

21 - 30

184

44.0

31 - 40

92

22.0

41 - 50

65

15.6

51 - 60

25

6.0

61 - 70

16

3.8

71 - 80

7

1.7

>80

4

0.9

Sex

Male

179

42.8

Female

239

57.2

Level of Education

None

27

6.5

Primary

108

25.8

Secondary

143

34.2

Tertiary

140

33.5

Profession

Unemployed

63

15.

Student

84

20.1

Self-employed

139

33.3

Private sector

67

16.0

Public sector

65

15.6

Marital Status

Single

171

41

Married

204

48.8

Divorced

19

4.5

Widow

24

5.7

Religion

Christian

340

81.3

Muslim

73

17.5

Atheist

5

1.2

Own an insurance scheme

Yes

53

12.7

No

365

87.3

Why not

Cannot afford

44

12

Unawareness

273

74.8

Not compulsory

21

5.8

Don’t trust Insurance

19

5.2

Don’t need it

4

1.1

Other

4

1.1

Access to free healthcare

Yes

107

25.6

No

311

74.4

3.2. The Knowledge, Attitudes, and Perceptions of UHC in the Northwest Region of Cameroon
Only 18.4% of participants had heard of UHC, highlighting a significant gap in awareness. These results are similar to those of Silva, 2021, Lenga, 2023 and Adedeji et al., 2023 . Regarding specific statements about UHC, only 32.3% agreed that it helps reduce out-of-pocket expenditures, while 61.2% were unsure. Similarly, 20.3% believed that Cameroon aims to achieve UHC, with a large proportion (73.9%) uncertain about this goal. See Table 2. As presented in Table 5, Knowledge levels were notably low, with 43.3% of respondents classified as having poor knowledge and only 4.8% demonstrating good knowledge about UHC. In terms of attitudes, as presented in Table 6, 47.4% exhibited inappropriate attitudes towards UHC, while only 6.5% displayed a good attitude. Despite low knowledge and mixed attitudes, a majority (82.5%) supported the idea that everyone should have access to cost-effective healthcare services. See Table 4.
Regarding preferences for medical service visits, 26.3% chose public hospitals, while 22.7% preferred private facilities. See Table 3. Most respondents believed that the government should finance UHC, with 48.1% supporting this view. These results are in line with those of Nde et al., 2019 and Nonla, 2024 . Opinions on compulsory registration for the National Health Insurance Scheme (NHIS) were also mixed, as was realized by Akokuwebe & Idemudia, (2022) , with 33.3% strongly supporting it and 24.9% opposing it. Despite concerns about UHC implementation, a significant willingness to participate in the NHIS emerged, with 83.0% expressing readiness to register, demonstrating a potential avenue for enhancing UHC acceptance in Cameroon. Overall, the findings reveal critical areas for improving public awareness and attitudes towards UHC, which are essential for its successful implementation.
Table 2. Knowledge of UHC.

Question

Yes n (%)

No n (%)

Don’t know n (%)

Have you ever heard of UHC

77 (18.4)

341 (81.6)

/

UHC helps reduce out-of-pocket health expenditure

135 (32.3)

27 (6.5)

256 (61.2)

Does Cameroon aim to achieve UHC

85 (20.3)

24 (5.8)

309 (73.9)

With UHC, users register and pay a yearly fee as contribution

90 (21.5)

18 (4.3)

310 (74.2)

All users (patients) will contribute the same amount

81 (19.4)

65 (15.6)

272 (65)

Registration for the UHC will be voluntary

119 (28.4)

58 (13.9)

241 (57.7)

Cameroon intends to offer UHC to

Few regions n (%)

All regions n (%)

Don’t know n (%)

54 (12.9)

131 (31.4)

233 (55.7)

UHC will concern

All facilities n (%)

Private facilities (%)

Public facilities (%)

320 (76.6)

14 (3.3)

84 (20.1)

Table 3. Summary statistics for Knowledge of Universal Health Coverage.

Questions

Number

Percentage

When you require a medical service, would you prefer to visit

Private hospital

95

22.7

Public hospital

110

26.3

Anyone

213

51.0

Who should consult you under free UHC?

Doctor

207

49.5

Specialist

100

23.9

Nurse

18

4.3

Anyone

93

22.3

Who should pay for UHC?

Government

201

48.1

Users

31

7.4

Both

155

37.1

I don’t know

31

7.4

Do you support the implementation of compulsory registration to the National Health Insurance Scheme (NHIS) for UHC?

Strongly support

139

33.3

Support

154

36.8

Oppose

104

24.9

Strongly oppose

21

5.0

Your preferred revenue-collecting organization for NHIS.

Public organization

135

32.3

Private (Independent)

56

13.4

Combination of both

148

35.4

I don’t know

79

18.9

What is your preferred design for NHIS contribution rates?

All pay same

142

34.0

Richer pay more

159

38.0

Poor shouldn’t pay

58

13.9

I don’t know

59

14.1

Table 4. Perception of UHC.

QUESTIONs

Yes n (%)

No n (%)

Don’t know n (%)

Would you like everyone to have access to cost-effective healthcare services

345 (82.5)

23 (5.5)

50 (12.0)

Do you believe that Cameroon can provide all of its population with effective and sufficient health services

222 (53.1)

118 (28.2)

78 (18.7)

Do you believe that providing free public healthcare is a good method for achieving UHC in Cameroon

315 (75.4)

46 (11.0)

57 (13.6)

Do you believe that people should get the choice between acquiring health insurance (registering for UHC) or paying out of pocket for medical services

322 (77.1)

54 (12.9)

42 (10.0)

Will you visit the hospital more often than needed if it is free

236 (56.4)

150 (35.9)

32 (7.7)

Will you feel discriminated if you can’t have access to all the services you need

261 (62.4)

111 (26.6)

46 (11.0)

Do you feel implicated in the government’s decisions and designs for UHC

122 (29.2)

201 (48.1)

95 (22.7)

Are you willing to join (register) NHIS to promote UHC

347 (83.0)

31 (7.4)

40 (9.6)

Are you willing to make contributions to support healthcare for the poor Cameroonians

4.9)

59 (14.1)

46 (11.0)

Table 5. Summary statistics for the level of knowledge pertaining to UHC.

Knowledge

Number

Percentage (95% CI)

Poor (<25%)

181

43.3 (38.8 - 47.8)

Insufficient (25-49%)

127

30.4 (26.1 - 34.7)

Moderate (50-70%)

90

21.5 (17.7 - 25.4)

Good (>70%)

20

4.8 (2.6 - 7.2)

Table 6. Attitudes and perception towards Universal Health Coverage.

Attitude/Perception

Number

Percentage (95% CI)

Poor (<25%)

34

8.1 (5.7 - 11.0)

Inappropriate (25-49%)

198

47.4 (42.6 - 51.7)

Acceptable (50-70%)

159

38.0 (33.3 - 42.8)

Good (>70%)

27

a. (4.3 - 8.9)

3.3. Factors Associated with the Knowledge, Attitudes, and Perceptions of UHC in the Northwest Region of Cameroon
The study revealed significant variations in knowledge and attitudes toward UHC among different health districts in the Northwest Region of Cameroon. As per Table 7, Districts like Ako and Batibo had the highest mean knowledge scores, whereas Nkambe and Ndu reported the lowest, with a statistically significant difference (p < 0.001). For attitudes, Bali demonstrated the highest mean score, in contrast to Nkambe and Nwa, which had the lowest scores (p < 0.001). These variations suggest that localized health education initiatives may influence residents' understanding and perceptions of UHC. Age played a role in knowledge levels, with older respondents (61-70 years) showing lower knowledge scores (1.4±0.9) compared to those aged 51-60 (2.8±2.1), indicating that age may affect UHC knowledge (p = 0.020). However, attitudes and perceptions did not significantly differ across age groups (p = 0.947). Gender did not influence either knowledge or attitudes, as scores were comparable between males and females. Educational attainment had a limited effect on knowledge, while attitudes showed statistically significant differences; those with tertiary education had higher attitude scores than those with no formal education (p = 0.014) (see Table 7.)
Results as presented in Table 10 indicate that Profession significantly impacted knowledge levels (p < 0.001), indicating that certain occupations may offer more exposure to UHC information. Access to free healthcare significantly influenced both knowledge (B coefficient = 0.139, p = 0.004) and attitudes (B coefficient = 0.111, p = 0.024). Respondents with access reported higher knowledge and more positive attitudes towards UHC, underscoring the importance of free healthcare policies. Overall, the models explained 37.2% of the variability in knowledge scores and 29.7% in attitudes/perception scores, suggesting that additional unmeasured factors may also play a crucial role in shaping public perceptions of UHC in the region.
Table 7. Factors associated with knowledge, attitude, and perception differences (1).

Variables

Knowledge

Attitudes/Perception

Mean ± SD

p-value

Mean ± SD

p-value

Health district

Ako

3.6±1.7

<0.001

8.7±1.8

<0.001

Bamenda I

2.3±1.8

8.3±1.9

Bamenda III

3.2±2.1

8.3±2.3

Bafut

3.6±1.7

9±2

Bali

2.7±1.6

10.4±2.9

Batibo

4.4±1.2

8.4±1.6

Benakuma

1±1

7.7±2.3

Fundong

3.2±1.9

9.7±1.4

Kumbo East

1.6±1.4

7.9±1.7

Kumbo West

2.8±1.6

8.6±2.2

Mbengwi

1.7±0.5

6.4±1.3

Ndop

0.9±0.9

7.1±1.9

Ndu

2.6±1.1

8.1±2.5

Njikwa

4.2±1.3

6.4±2.1

Nkambe

0.9±0.8

5.1±3.7

Nwa

2.3±12

5.7±3.5

Oku

0.7±0.4

6.8±0.8

Santa

1.5±0.9

7.8±2.9

Tubah

3±1.9

9.6±2.0

Wum

1.9±1.3

8.5±2.5

Age groups

≤20

1.6±1.8

0.020

7.8±2.2

0.947

21 - 30

2.5±1.9

7.8±2.5

31 - 40

2.3±1.6

8.2±2.5

41 - 50

2.3±1.7

8.1±2.8

51 - 60

2.8±2.1

7.9±2.5

61 - 70

1.4±0.9

7.6±2.1

71 - 80

1.9±1.4

7.4±3.8

>80

0.5±0.6

8±1.8

Sex

Male

2.4±1.8

0.477

7.9±2.6

0.573

Female

2.3±1.7

8.0±2.5

Table 8. Factors associated with knowledge, attitude, and perception differences (2).

Variables

Knowledge

Attitudes/Perception

Mean ± SD

p-value

Mean ± SD

p-value

Level of Education

None

1.9±1.6

0.147

6.9±1.9

0.014

Primary

2.3±1.6

7.9±2.7

Secondary

2.1±1.8

7.7±2.5

Tertiary

2.6±1.9

8.4±2.5

Profession

Unemployed

1.9±1.7

<0.001

7.4±2.8

0.212

Student

2.1±1.9

8.1±2.5

Self-employed

2.1±1.5

8.0±2.6

Private sector

3.1±1.9

7.8±2.0

Public sector

2.6±1.8

8.3±2.5

Marital Status

Single

2.3±1.9

0.115

7.9±2.4

0.238

Married

2.4±1.7

8.0±2.5

Divorced

2.3±2.2

8.8±2.7

Widow

1.5±1.4

7.3±3.0

Religion

Christian

2.3±1.8

0.931

7.9±2.5

0.998

Muslim

2.2±1.5

7.9±2.5

Atheist

2.2±2.3

8±2.3

Table 9. Variation in Knowledge and Attitudes/Perception.

Variables

Knowledge

Attitudes/Perception

Mean ± SD

p-value

Mean ± SD

p-value

Own an insurance scheme.

Yes

2.7±2.0

0.140

8±2.5

0.894

No

2.2±1.7

7.9±2.5

Why not

Cannot afford

2.5±1.6

0.376

8.3±2.1

0.119

Unawareness

2.2±1.8

7.9±2.5

Not compulsory

2.0±1.6

7.3±2.6

Don’t trust Insurance

2.3±1.6

7.5±2.4

Don’t need it

1.5±2.4

5.5±3.4

Other

3.8±1.9

9.8±3.5

Access to free healthcare

Yes

2.7±1.9

<0.001

8.6±2.3

0.003

No

2.1±1.7

7.7±2.5

Table 10. Multiple linear regression.

Variables

Knowledge

Attitude/Perception

B coefficient

p-value

B coefficient

p-value

Health district

0.224

<0.001

0.155

0.002

Age groups

0.028

0.580

NA

NA

Level of education

0.009

0.862

0.073

0.127

Profession

0.170

<0.001

NA

NA

Access to free healthcare

0.139

0.004

0.111

0.024

0.372

0.297

3.4. Preferences and Predictors of UHC Choices: Provider, Financing, and Payment Schemes
Regarding UHC plan choices, 51.0% had no preference for private or public hospitals, 26.3% preferred public hospitals, 48.1% believed the government should cover all UHC costs, and 37.1% supported joint government-individual payments. Most (70%) supported a compulsory NHIS. Mixed institutions were preferred as revenue collectors, with 38.0% favoring higher contributions from the rich. The study examined respondents’ preferences for UHC in relation to their awareness of UHC and their engagement with health insurance. Awareness played a pivotal role in shaping preferences, with 83.1% of respondents familiar with UHC expressing a preference for insurance options compared to 75.7% of those unaware. Table 11. However, the statistical significance of this association was not established. Among those aware of UHC, individuals who preferred not to select insurance had a lower odds ratio of 0.626, suggesting less inclination toward insurance choice. Awareness did not significantly influence feelings of discrimination related to access to healthcare (odds ratio 1.065, p = 0.810). Furthermore, respondents with UHC awareness showed distinct preferences for insurance models, notably favoring designs where wealthier individuals contribute more (odds ratio 2.297, p = 0.001). Conversely, those preferring equal contributions had a lower odds ratio (0.630, p = 0.101). Willingness to financially support the poor in accessing healthcare was significantly higher among those aware of UHC, with an odds ratio of 4.033 (p < 0.001).
Table 11. Factors Influencing Attitudes and Preferences Regarding Universal Health Coverage.

Variable

Ever heard of UHC

Odds ratio (95% CI)

p-value

Yes

No

UHC vs Out-of-Pocket: Should People Have a Choice?

Yes

64 (83.1)

258 (75.7)

1.584 (0.831 - 3.020)

0.160

No

7 (9.1)

47 (13.8)

0.626 (0.271 - 1.443)

0.268

Don’t know

6 (7.8)

36 (10.5)

0.716 (0.290 - 1.765)

0.466

Would You Feel Discriminated If You Can’t Access All the Health Services You Need

Yes

49 (63.6)

212 (62.2)

1.065 (0.637 - 1.779)

0.810

No

19 (24.7)

92 (27.0)

0.887 (0.501 - 1.569)

0.679

Don’t know

9 (11.7)

37 (10.8)

1.087 (0.501 - 2.359)

0.832

Preferred NHIS contribution rates

Everyone pays same

20 (26.0)

122 (35.8)

0.630 (0.361 - 1.098)

0.101

Richer pay more

42 (54.5)

117 (34.3)

2.297 (1.392 - 3.792)

0.001

Poor shouldn’t pay

10 (13.0)

48 (14.1)

0.911 (0.439 - 1.893)

0.803

Don’t know

5 (6.5)

54 (15.8)

0.369 (0.142 - 0.956)

0.033

Willingness to join NHIS to promote UHC

Yes

63 (81.8)

284 (83.3)

0.903 (0.474 - 1.722)

0.757

No

5 (6.5)

26 (7.6)

0.841 (0.312 - 2.266)

0.732

Don’t know

9 (11.7)

31 (9.1)

1.324 (0.602 - 2.908)

0.484

Willingness to pay for healthcare for the poor

Yes

70 (90.9)

243 (71.3)

4.033 (1.791 - 9.080)

<0.001

No

3 (3.9)

56 (16.4)

0.206 (0.063 - 0.678)

0.004

Don’t know

4 (5.2)

42 (12.3)

0.390 (0.136 - 1.123)

0.071

Table 12. Factors Influencing Attitudes and Preferences Regarding UHC in Relation to Ownership of Insurance.

Variable

Own any form of Insurance

Odds ratio (95% CI)

p-value

Yes n (%)

No n (%)

Who Should Pay for UHC

Government

23 (43.4)

178 (48.8)

0.805 (0.451 - 1.440)

0.465

Users

6 (11.3)

25 (6.8)

1.736 (0.677 - 4.452)

0.259

Both

16 (30.2)

139 (38.1)

0.703 (0.377 - 1.311)

0.266

Don’t know

8 (15.1)

23 (6.3)

2.643 (1.116 - 6.262)

0.043

Support for Compulsory Payment of NHIS for UHC:

Strongly support

31 (58.5)

108 (29.6)

3.353 (1.857 - 6.054)

<0.001

Support

13 (24.5)

141 (38.6)

0.516 (0.267 - 0.999)

0.047

Oppose

8 (15.1)

96 (26.3)

0.498 (0.227 - 1.095)

0.078

Strongly oppose

1 (1.9)

20 (5.5)

0.332 (0.044 - 2.524)

0.497

Preferred Design for Payment:

Everyone pays same

8 (15.1)

134 (36.7)

0.306 (0.140 - 0.670)

0.002

Richer pay more

33 (62.3)

126 (34.5)

3.130 (1.725 - 5.679)

<0.001

Poor shouldn’t pay

9 (17.0)

49 (13.4)

1.319 (0.606 - 2.871)

0.484

Don’t know

3 (5.7)

56 (15.3)

0.331 (0.100 - 1.098)

0.059

Willingness to Join NHIS to Promote UHC:

Yes

49 (92.5)

298 (81.6)

2.754 (0.961 - 7.895)

0.050

No

2 (3.8)

29 (7.9)

0.454 (0.105 - 1.962)

0.403

Don’t know

2 (3.8)

38 (10.4)

0.337 (0.079 - 1.442)

0.125

Insurance ownership also influenced preferences and support for UHC financing. Table 12 indicates that among those with insurance, 43.4% believed the government should finance UHC, similar to 48.8% of those without insurance (odds ratio 0.805, p = 0.465). Respondents with insurance were significantly more likely to support compulsory National Health Insurance Scheme (NHIS) payments for UHC (odds ratio 3.353, p < 0.001) and showed a preference for payment designs where wealthier individuals pay more (odds ratio 3.130, p < 0.001). Although a higher percentage of insured respondents (92.5%) were willing to join NHIS, the difference was not statistically significant (odds ratio 2.754, p = 0.050). Overall, the study underscores the complex interplay between awareness, insurance ownership, and preferences for UHC in shaping attitudes toward health financing.
4. Discussion
This study on Universal Health Coverage in the Northwest Region of Cameroon reveals critical insights into public awareness, attitudes, and preferences regarding healthcare access. Notably, only 18.4% of participants had heard of UHC, indicating a significant gap in awareness. Despite low knowledge levels—43.3% classified as having poor knowledge—there is strong support for the principle of UHC, with 82.5% advocating for universal access to cost-effective healthcare services . The findings highlight the necessity for targeted health education initiatives, particularly in districts with lower knowledge scores, as demonstrated by significant variations in understanding and attitudes across regions. Age and occupation were influential factors, with older individuals displaying lower knowledge levels, while access to free healthcare correlated with improved understanding and positive attitudes; this was similar to the findings of Nde, 2019 in Cameroon . Preferences for UHC financing revealed that nearly half of respondents believed the government should cover all costs, with 70% supporting compulsory registration for the National Health Insurance Scheme (NHIS). This was similar to the findings of Akokuwebe and Elnade . Additionally, awareness of UHC, as studied by Ahmad in Nigeria positively correlated with preferences for insurance models that require wealthier individuals to contribute more, indicating recognition of equity in healthcare financing. Overall, the study highlights the need for comprehensive strategies to enhance public knowledge and foster positive attitudes toward UHC, which is essential for its successful implementation in Cameroon.
The study presents several strengths, including a comprehensive assessment of knowledge, attitudes, and perceptions of UHC among a diverse sample in the Northwest Region of Cameroon. The inclusion of various socio-demographic factors (age, gender, education, and occupation) enhances the understanding of how these variables influence UHC awareness and preferences. The use of odds ratios to analyze associations between awareness and attitudes provides a quantitative basis for interpreting results, adding rigor to the findings. However, there are limitations to consider. The low overall awareness of UHC (18.4%) suggests that results may not be generalizable to broader populations. The cross-sectional design limits the ability to establish causal relationships between variables. Additionally, the reliance on self-reported data may introduce bias, as participants might provide socially desirable responses regarding their attitudes toward healthcare financing. Furthermore, the study's findings could be influenced by external factors not measured, such as socio-economic status or access to healthcare services. Finally, the relatively low percentage of respondents with prior health insurance (12.7%) may impact the validity of conclusions drawn regarding insurance ownership and preferences for UHC financing. These factors should be acknowledged when interpreting the study's implications for UHC implementation in Cameroon.
This study on UHC in the Northwest Region of Cameroon reveals critical insights into public awareness, attitudes, and preferences regarding healthcare access, aligning with existing research and policies. Notably, the finding that only 18.4% of participants had heard of UHC reflects a substantial gap in awareness, corroborating earlier studies indicating low public knowledge of UHC in similar contexts . The fact that 43.3% were classified as having poor knowledge further emphasizes this issue, consistent with findings from other regions where low awareness impeded UHC implementation . Despite these low knowledge levels, 82.5% of participants expressed support for UHC, highlighting a discrepancy between awareness and advocacy, which aligns with previous findings that demonstrated strong public backing for UHC principles despite limited understanding . The influence of demographic factors, particularly age and occupation, aligns with literature suggesting that older individuals often have less exposure to health policies . Furthermore, preferences for UHC financing—where nearly half believed the government should cover all costs—echo the findings of other studies advocating for equitable financing structures . The positive correlation between awareness of UHC and support for equitable insurance models underscores the need for educational initiatives to enhance public understanding, which is essential for effective UHC implementation in Cameroon. This study contributes to the literature by highlighting significant gaps in public awareness and knowledge of UHC in the Northwest Region of Cameroon. It emphasizes the need for targeted health education initiatives and reveals strong public support for UHC, particularly regarding equitable financing and access to healthcare.
The findings provide valuable insights that can be generalized and transferred to similar low-resource settings with comparable healthcare challenges. The low levels of public awareness and knowledge of UHC, alongside the strong support for universal access, are likely to resonate in other regions of Cameroon and similar contexts across Sub-Saharan Africa. Health education initiatives aimed at enhancing understanding and promoting positive attitudes toward UHC can be adapted to address the unique needs of different populations, making these approaches transferable to other districts with low knowledge scores. Moreover, the methods employed in this study, including quantitative surveys and stratified sampling based on demographics, can be generalized for assessing public perceptions and attitudes towards UHC in other regions. This methodological framework can be useful for researchers and policymakers aiming to identify gaps in awareness and to develop targeted interventions in diverse healthcare contexts. Additionally, the identified correlations between socio-demographic factors, such as age and occupation, and knowledge levels provide a basis for tailored educational strategies that can be applied broadly to improve healthcare accessibility and equity in similar environments.
This study carries significant implications for policy and practice. Policymakers should prioritize targeted health education initiatives to enhance public awareness and understanding of UHC, especially in regions exhibiting lower knowledge levels. The high level of support for UHC principles stresses the need for comprehensive policies that align with public views, advocating for universal access to cost-effective healthcare services. Engaging communities through education can foster a positive environment for implementing UHC strategies, thereby increasing public buy-in. The study also reveals a willingness among respondents to co-finance UHC through compulsory participation in the National Health Insurance Scheme (NHIS), with a vast majority supporting the model where wealthier individuals contribute more. This finding highlights the potential for equitable financing mechanisms that can gather public support, ensuring sustainability. For further research, future studies should explore the barriers to implementing UHC, including financial, logistical, and infrastructural challenges, to inform evidence-based interventions. Researchers should also investigate the effectiveness of various educational approaches in enhancing knowledge and attitudes toward UHC. By nurturing collaboration between researchers and policymakers, future interventions can be designed to effectively address the identified gaps and ensure a successful rollout of UHC initiatives across similar contexts.
Abbreviations

UHC

Universal Health Coverage

SPSS

Statistical Package for Social Sciences

ANOVA

Analysis of Variance

CERSH

Regional Ethical Committee for Human Health Research

NHIS

National Health Insurance Scheme

SDG

Sustainable Development Goals

SD

Standard Deviation

Author Contributions
Therence Nwana Dingana: Conceptualization, Data curation, Investigation, Project administration, Writing – original draft
Longla Terence Achelieu: Investigation, Methodology, Resources, Validation
Leo Cedric Fosso Fozeu: Data curation, Formal Analysis, Methodology
Stewart Ndutard Ngasa: Software, Supervision, Validation, Visualization, Writing – review & editing
Conflicts of Interest
The authors declare no conflicts of interest.
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Cite This Article
  • APA Style

    Dingana, T. N., Achelieu, L. T., Fozeu, L. C. F., Ndisang, D. A., Ngasa, S. N. (2025). Unveiling Barriers to Universal Health Coverage: A Cross-Sectional Assessment of the Demand-Side Viewpoints in Northwest Region-Cameroon. Central African Journal of Public Health, 11(2), 70-83. https://doi.org/10.11648/j.cajph.20251102.14

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    Dingana, T. N.; Achelieu, L. T.; Fozeu, L. C. F.; Ndisang, D. A.; Ngasa, S. N. Unveiling Barriers to Universal Health Coverage: A Cross-Sectional Assessment of the Demand-Side Viewpoints in Northwest Region-Cameroon. Cent. Afr. J. Public Health 2025, 11(2), 70-83. doi: 10.11648/j.cajph.20251102.14

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    AMA Style

    Dingana TN, Achelieu LT, Fozeu LCF, Ndisang DA, Ngasa SN. Unveiling Barriers to Universal Health Coverage: A Cross-Sectional Assessment of the Demand-Side Viewpoints in Northwest Region-Cameroon. Cent Afr J Public Health. 2025;11(2):70-83. doi: 10.11648/j.cajph.20251102.14

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  • @article{10.11648/j.cajph.20251102.14,
      author = {Therence Nwana Dingana and Longla Terence Achelieu and Leo Cedric Fosso Fozeu and Daniel Agwenig Ndisang and Stewart Ndutard Ngasa},
      title = {Unveiling Barriers to Universal Health Coverage: A Cross-Sectional Assessment of the Demand-Side Viewpoints in Northwest Region-Cameroon
    },
      journal = {Central African Journal of Public Health},
      volume = {11},
      number = {2},
      pages = {70-83},
      doi = {10.11648/j.cajph.20251102.14},
      url = {https://doi.org/10.11648/j.cajph.20251102.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20251102.14},
      abstract = {Universal Health Coverage (UHC) aims to ensure that everyone has access to quality health services without suffering financial hardship. Health services must be culturally acceptable; otherwise, utilization will remain low despite availability. The understandings and attitudes toward UHC differ across populations, impacting its implementation. This study assessed the knowledge, attitudes, and perceptions of UHC, analyzed the factors associated with these views, and examined the users’ preferences for UHC in terms of healthcare provider choice, payment schemes, and factors predicting these choices. This study was conducted in the Northwest Region of Cameroon, with over 3 million inhabitants, in a humanitarian crisis since 2016. A cross-sectional survey included 417 respondents selected through multistage sampling from 20 health districts. Data were collected through face-to-face interviews using pretested questionnaires. Data was entered and analyzed using Excel and SPSS. The association between variables was studied using the Chi-squared test, Student’s t-test, and Analysis of Variance (ANOVA). A multiple linear regression was done to eliminate the effect of confounders influencing knowledge and attitudes toward UHC. Ethical considerations included informed consent, data confidentiality, and compliance with the Regional Ethical Committee for Human Health Research (CERSH). Most respondents (77%) had heard of UHC, but only 32.3% knew it reduces out-of-pocket costs. Three-quarters were unaware of the government's UHC goals. While 82.5% desired universal access to cost-effective healthcare, only 6.4% had a good perception of UHC. Nonetheless, 83.3% wanted a National Health Insurance Scheme (NHIS), and 70% wanted it to be compulsory. Higher knowledge scores were found in older age groups (p=0.020), urban residents (p=0.015), private-sector employees (p<0.001), and those with free healthcare access (p<0.001). Regarding UHC plan choices, 51.0% had no preference for private or public hospitals, 48.1% believed the government should cover all costs, while 38.0% wanted a mixture, with the wealthier paying more. This study shows significant gaps in knowledge and perceptions of UHC among the population. While there is a strong desire for cost-effective healthcare access, awareness of government initiatives and UHC mechanisms remains low. Policy implications include the need for targeted educational campaigns on UHC. Additionally, considering a compulsory NHIS could foster greater community participation and support backed by their strong willingness to contribute to the NHIS. This will definitely build a resilient health system.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Unveiling Barriers to Universal Health Coverage: A Cross-Sectional Assessment of the Demand-Side Viewpoints in Northwest Region-Cameroon
    
    AU  - Therence Nwana Dingana
    AU  - Longla Terence Achelieu
    AU  - Leo Cedric Fosso Fozeu
    AU  - Daniel Agwenig Ndisang
    AU  - Stewart Ndutard Ngasa
    Y1  - 2025/04/29
    PY  - 2025
    N1  - https://doi.org/10.11648/j.cajph.20251102.14
    DO  - 10.11648/j.cajph.20251102.14
    T2  - Central African Journal of Public Health
    JF  - Central African Journal of Public Health
    JO  - Central African Journal of Public Health
    SP  - 70
    EP  - 83
    PB  - Science Publishing Group
    SN  - 2575-5781
    UR  - https://doi.org/10.11648/j.cajph.20251102.14
    AB  - Universal Health Coverage (UHC) aims to ensure that everyone has access to quality health services without suffering financial hardship. Health services must be culturally acceptable; otherwise, utilization will remain low despite availability. The understandings and attitudes toward UHC differ across populations, impacting its implementation. This study assessed the knowledge, attitudes, and perceptions of UHC, analyzed the factors associated with these views, and examined the users’ preferences for UHC in terms of healthcare provider choice, payment schemes, and factors predicting these choices. This study was conducted in the Northwest Region of Cameroon, with over 3 million inhabitants, in a humanitarian crisis since 2016. A cross-sectional survey included 417 respondents selected through multistage sampling from 20 health districts. Data were collected through face-to-face interviews using pretested questionnaires. Data was entered and analyzed using Excel and SPSS. The association between variables was studied using the Chi-squared test, Student’s t-test, and Analysis of Variance (ANOVA). A multiple linear regression was done to eliminate the effect of confounders influencing knowledge and attitudes toward UHC. Ethical considerations included informed consent, data confidentiality, and compliance with the Regional Ethical Committee for Human Health Research (CERSH). Most respondents (77%) had heard of UHC, but only 32.3% knew it reduces out-of-pocket costs. Three-quarters were unaware of the government's UHC goals. While 82.5% desired universal access to cost-effective healthcare, only 6.4% had a good perception of UHC. Nonetheless, 83.3% wanted a National Health Insurance Scheme (NHIS), and 70% wanted it to be compulsory. Higher knowledge scores were found in older age groups (p=0.020), urban residents (p=0.015), private-sector employees (p<0.001), and those with free healthcare access (p<0.001). Regarding UHC plan choices, 51.0% had no preference for private or public hospitals, 48.1% believed the government should cover all costs, while 38.0% wanted a mixture, with the wealthier paying more. This study shows significant gaps in knowledge and perceptions of UHC among the population. While there is a strong desire for cost-effective healthcare access, awareness of government initiatives and UHC mechanisms remains low. Policy implications include the need for targeted educational campaigns on UHC. Additionally, considering a compulsory NHIS could foster greater community participation and support backed by their strong willingness to contribute to the NHIS. This will definitely build a resilient health system.
    
    VL  - 11
    IS  - 2
    ER  - 

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    1. 1. Introduction
    2. 2. Methods
    3. 3. Results
    4. 4. Discussion
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