Abstract
Background
The health seeking behaviour of a community determines how they use health services. Utilisation of health facilities can be influenced by the cost of services, distance to health facilities, cultural beliefs, level of education and health facility inadequacies such as stock-out of drugs.
Objectives
To assess the health seeking practices and challenges in utilising health facilities in a rural community in Wakiso district, Uganda.
Methods
The study was a cross sectional survey that used a structured questionnaire to collect quantitative data among 234 participants. The sample size was obtained using the formula by Leslie Kish.
Results
While 89% of the participants were aware that mobile clinics existed in their community, only 28% had received such services in the past month. The majority of participants (84%) did not know whether community health workers existed in their community. The participants' health seeking behaviour the last time they were sick was associated with age (p = 0.028) and occupation (p = 0.009). The most significant challenges in utilising health services were regular stock-out of drugs, high cost of services and long distance to health facilities.
Conclusions
There is potential to increase access to health care in rural areas by increasing the frequency of mobile clinic services and strengthening the community health worker strategy.
Keywords: Health seeking behaviour, Rural community, Health facilities, Challenges, Uganda
Introduction
The health seeking behaviour of a community determines how health services are used and in turn the health outcomes of populations1. Factors that determine health behaviour may be physical, socio-economic, cultural or political2. Indeed, the utilisation of a health care system may depend on educational levels, economic factors, cultural beliefs and practices. Other factors include environmental conditions, socio-demographic factors, knowledge about the facilities, gender issues, political environment, and the health care system itself3,4.
A key determinant for health seeking behaviour is the organisation of the health care system1. In many health systems, particularly in developing countries such as Uganda, illiteracy, poverty, under funding of the health sector, inadequate water and poor sanitation facilities have a big impact on health indicators. In addition, cost of services, limited knowledge on illness and wellbeing, and cultural prescriptions are a barrier to the provision of health services5. These challenges, which are significant in Uganda's health system, affect the health seeking practices of communities.
Several factors can determine the choice of health care providers that patients use. These include factors associated with the potential providers (such as quality of service and area of expertise) and those that relate to the patients themselves (such as age, education levels, gender, and economic status)6. Such factors can affect access to health care even when services do exist in a community. Despite the availability of many service providers in Uganda, the poor, being financially constrained, normally have limited choice and often use public services many of which are offered free of charge7. Indeed, there is a significant difference in access to various health care providers between the rich and poor8,9. Although self-care and use of traditional healers is categorized under health care, these are often discouraged by health practitioners, with the emphasis on encouraging people to opt for conventional channels with medically trained personnel10.
The poor and other vulnerable groups such as the elderly, who are mainly concentrated in rural areas in Uganda, are the most affected by health system challenges7. Indeed, health facility coverage is greater in urban areas and there is less choice of health service provision in villages. Yet these vulnerable groups are known to be the most at need of these services. The non-use of health facilities leads to undesirable health behaviour such as patients using traditional remedies or no treatment at all which has led to increase in mortality even for easily manageable conditions11.
The Government of Uganda under the Ministry of Health has increased the number of health facilities throughout the country in recent years. However, there are still disparities between urban and rural areas, as well as by geographic location therefore certain communities have more access to health services than others. The lack of public facilities in some communities, which are predominantly used by the poor, is likely to affect the health seeking practices of the population. This problem of inequity in health facility distribution affects the health seeking practices of several communities hence hindering health services utilisation.
Most studies on health seeking behaviour in Uganda have been disease specific particularly on malaria12,13,14. Therefore, limited knowledge is available on general health seeking practices of communities including problems faced in pursuit of health services. The purpose of the study was to assess the health seeking practices and challenges in utilising health facilities in a rural community in Wakiso district, Uganda.
Methods
Study design
The study was a cross-sectional survey. Data was collected between April and May 2010 using a structured questionnaire that was administered by 2 research assistants. The questionnaire was developed in reference to existing tools that had been used in related studies15,16,17,18 and had sections on awareness on health facilities in the area, health seeking practices, problems faced while seeking health services and demographic information of participants.
Study area
The study was conducted in Katabi sub-county, Wakiso district located in the central region of Uganda. The sub-county has 5 parishes and is predominantly a rural community which had a projected population for 2010 of 80,00019. The population is engaged in various economic and social activities such as fishing, crop farming, animal husbandry, petty trading, stone quarrying, brick making and sand mining. The other section of the population is employed in schools, hospitals, factories, recreation centers, and hotels19.
Sample size and sampling technique
A sample size of 234 participants obtained using the formula by Kish and Leslie (1965) for cross-sectional studies was used20. A 95% level of confidence, 81.3% proportion of utilization of health services (obtained from the National Household Survey of 2003) and a 5% level of precision were used in the sample size calculation. Multistage and simple random sampling techniques were used to obtain the participants of the study. The various stages of sampling in the sub-county were parishes, villages and households. Random sampling was used to select 1 parish from the 5 in the subcounty; and 1 village from the 6 in the selected parish. Once the village was obtained, the list of households in the village was used to obtain the households that were involved in the study using a table of random numbers.
From the households selected, only one member per household, preferably the household head, was allowed to participate in the study. In situations where the household head was not available or unwilling to take part, any other adult present was included. Preference for inclusion in the study was given to the older family members such as the spouse of the household head or oldest child. This was considered since the health seeking behaviour of older members of a family is more likely to influence that of other members because of their authority and experience.
Data analysis
Data was analysed using EpiInfo version 3.5.1 and SPSS version 17.0. Analysis involved the generation of frequency distributions from univariate analysis and cross-tabulation of certain variables looking for any associations during bivariate analysis. A p-value of 0.05 was considered statistically significant.
Ethical considerations
Approval to conduct the research was obtained from the Makerere University School of Public Health Higher Degrees, Research and Ethics Committee. The study was also registered and cleared by the Uganda National Council for Science and Technology. The local leaders of the study area were duly informed about the study and permission obtained from them before collecting data. Written informed consent was obtained from participants before taking part in the study.
Results
Socio-demographic characteristics of participants
Farming (34%) and business (36%) were the main occupations of the participants.
The majority of participants (67%) had completed secondary education while only 6% had reached university / tertiary institutions. Regarding the average household monthly income of the participants, 49% earned between 50– 250 US dollars while 48% earned less than 50 US dollars (Table 1).
Table 1.
Socio-demographic characteristics of the participants
Variable | Frequency (N = 234) | Percentage (%) |
Age | ||
18–25 | 38 | 16.2 |
26–35 | 150 | 64.1 |
36–50 | 45 | 19.2 |
> 50 | 1 | 0.4 |
Gender | ||
Male | 112 | 47.9 |
Female | 122 | 52.1 |
Marital Status | ||
Married | 31 | 13.2 |
Single | 32 | 13.7 |
Divorced | 16 | 6.8 |
Widowed | 5 | 2.1 |
Cohabiting | 150 | 64.1 |
Occupation | ||
Farmer | 80 | 34.2 |
Business | 83 | 35.5 |
Housewife | 33 | 14.1 |
Fisherman | 14 | 6.0 |
Others | 24 | 10.3 |
Highest level of education | ||
Primary | 65 | 27.8 |
Secondary | 156 | 66.7 |
Tertiary / University | 13 | 5.6 |
Average household monthly income | ||
< 50 US dollars | 113 | 48.3 |
Between 50 – 250 US dollars | 115 | 49.1 |
Between 250 – 500 US dollars | 5 | 2.1 |
Don't know | 1 | 0.4 |
Awareness on health facilities
The participants were highly knowledgeable about the health facilities that existed in their community. This included those aware about health centres (100%), clinics (100%) and pharmacies / drug shops (91%). The health centres were government facilities ranging from health centre IIs (the lowest public facility in Uganda) to health centre IVs excluding hospitals. Clinics, pharmacies and drug shops were privately owned facilities.
The majority of participants (89%) were aware that mobile clinic services existed in their community. They reported that these clinics offered: immunization services (88%), laboratory testing (87%), medical consultation (86%) and health education (78%). However, only 28% had received such outreach services in the past 1 month while 52% had received them in the past 6 months.
The majority of participants (84%) did not know whether Community Health Workers (CHWs) existed in their community while 12% mentioned that they were non-existent. Among the 4% of participants who said CHWs existed, the services they mentioned were offered included health education (56%), referral of patients to health facilities (56%) and drug distribution (33%). Only 22% did not know the services offered by CHWs.
Health seeking behaviour
Most of the participants (92%) did not have a regular medical worker to care for their health or to consult. Among those who did not have a regular medical worker, 76% said it was because they used any health worker they found.
When asked what they had ever used when sick, responses given were: health facilities (99%), pharmacies/ drug shops (94%), self treatment with local herbs (81%) and traditional healers (30%). Regarding what they had done the last time they were sick, the majority (65%) had gone to a health facility for treatment while 24% went to a pharmacy or drug shop for medication. Only 2% admitted to having sought treatment from a traditional healer. The participants' health seeking behaviour the last time they were sick showed statistical significance with only age (p = 0.028) and occupation (p = 0.009) (Table 2).
Table 2.
Participants' health seeking behaviour the last time they were sick
Used | Used | Used | Self | Did | χ2 | P | |
health | pharmacy | traditional | treatment | nothing | value | value | |
facility | / drug | healer | with local | at all | |||
shop | herbs | ||||||
Gender | 2.129 | 2.129 | 0.780 | ||||
Male | 75 | 24 | 3 | 9 | 1 | ||
Female | 77 | 31 | 2 | 12 | 0 | ||
Age | 24.168 | 0.028 | |||||
18 – 25 | 22 | 15 | 0 | 1 | 0 | ||
26 – 35 | 106 | 28 | 4 | 12 | 0 | ||
36 – 50 | 23 | 12 | 1 | 8 | 1 | ||
> 50 | 1 | 0 | 0 | 0 | 0 | ||
Highest level | 10.018 | 0.242 | |||||
of education | |||||||
attained | |||||||
Primary | 35 | 22 | 3 | 5 | 0 | ||
Secondary | 107 | 31 | 2 | 15 | 1 | ||
Tertiary / | 10 | 2 | 0 | 1 | 0 | ||
University | |||||||
Average | 19.683 | 0.213 | |||||
household | |||||||
monthly | |||||||
income | |||||||
< 50 US | 68 | 29 | 2 | 14 | 0 | ||
dollars | |||||||
Between 50 – | 80 | 25 | 3 | 6 | 1 | ||
250 US | |||||||
dollars | |||||||
Between 250 | 4 | 0 | 0 | 1 | 0 | ||
– 500 US | |||||||
dollars | |||||||
Don't know | 0 | 1 | 0 | 0 | 0 | ||
Occupation | 27.380 | 0.009 | |||||
Farmer | 47 | 25 | 0 | 8 | 0 | ||
Business | 63 | 13 | 0 | 6 | 1 | ||
Housewife | 20 | 6 | 2 | 5 | 0 | ||
Fisherman | 9 | 2 | 2 | 1 | 0 | ||
Others | 13 | 9 | 1 | 1 | 0 | ||
Distance to | 12.949 | 0.774 | |||||
nearest | |||||||
health | |||||||
facility | |||||||
Less than ¼ a | 27 | 6 | 1 | 4 | 0 | ||
kilometer | |||||||
Between ¼ | 64 | 25 | 3 | 6 | 1 | ||
and ½ of a |
Almost all the participants (99%) had used a health facility that was outside their village. Among this category, 91% had done so because the particular health facility offered services not offered by those in their area, while 78% said it was because the facility offered free or cheaper services. Most of the health facilities visited outside the participants' village were public (91%) while 64% were private. The majority of participants (73%) had visited a medical practitioner between 1 to 2 times in the past 12 months for their personal needs, while 15% had done so 3 to 4 times. The frequency of visiting a medical practitioner during the last 12 months was statistically significant with only average household monthly income (p = 0.038) (Table 3)
Table 3.
The number of times participants visited a medical practitioner for their personal medical needs during the last 12 months
Not at all | 1 to 2 | 3 to 4 | 5 to 10 | χ2 | P | |
times | times | times | value | value | ||
Gender | 3.074 | 0.389 | ||||
Male | 7 | 87 | 15 | 3 | ||
Female | 11 | 83 | 21 | 7 | ||
Age | 10.335 | 0.401 | ||||
18 – 25 | 4 | 23 | 7 | 4 | ||
26 – 35 | 12 | 110 | 22 | 6 | ||
36 – 50 | 2 | 36 | 7 | 0 | ||
> 50 | 0 | 1 | 0 | 0 | ||
Highest level of | 7.078 | 0.257 | ||||
education | ||||||
attained | ||||||
Primary | 4 | 50 | 9 | 2 | ||
Secondary | 11 | 111 | 27 | 7 | ||
Tertiary / | 3 | 9 | 0 | 1 | ||
university | ||||||
Average | 17.101 | 0.038 | ||||
household | ||||||
monthly income | ||||||
< 50 US dollars | 7 | 92 | 13 | 1 | ||
Between 50 – 250 | 10 | 73 | 23 | 9 | ||
US dollars | ||||||
Between 250 – 500 | 1 | 4 | 0 | 0 | ||
US dollars | ||||||
Don't know | 0 | 1 | 0 | 0 | ||
Occupation | 15.572 | 0.108 | ||||
Farmer | 7 | 62 | 11 | 0 | ||
Business | 4 | 58 | 16 | 5 | ||
Housewife | 2 | 22 | 5 | 4 | ||
Fisherman | 1 | 10 | 2 | 1 | ||
Others | 4 | 18 | 2 | 0 | ||
Distance from | 19.105 | 0.081 | ||||
nearest health | ||||||
facility | ||||||
Less than ¼ a | 2 | 23 | 8 | 5 | ||
kilometer | ||||||
Between ¼ and ½ | 6 | 68 | 20 | 5 | ||
of a kilometer | ||||||
Between ½ and ¾ | 3 | 36 | 4 | 0 | ||
of a kilometer | ||||||
Between ¾ and 1 | 6 | 38 | 4 | 0 | ||
kilometer | ||||||
More than a | 1 | 5 | 0 | 0 | ||
kilometer |
Challenges of using health facilities
Nearly all of the participants (99.6%) had ever experienced a challenge while accessing health facilities. The most outstanding challenges faced were regular stockout of drugs, high cost of services and long distance to health facilities (Figure 1).
Figure 1.
Challenges of accessing health facilities
The nearest health facilities to the participants' homes were clinics (68%), health centres (21%), and pharmacies / drug shops (11%). The distance of these nearest facilities from the participants' homes is shown in Table 4. No hospital existed in the community.
Table 4.
Distance of nearest health facilities from homes
Distance | Frequency (N = 234) | Percentage (%) |
Less than ¼ a kilometer | 38 | 16.2 |
Between ¼ and ½ of a | 99 | 42.3 |
kilometer | ||
Between ½ and ¾ of a | 43 | 18.4 |
kilometer | ||
Between ¾ and 1 kilometer | 48 | 20.5 |
More than a kilometer | 6 | 2.6 |
While sick, the majority of participants (75%) used commercial motorcycles to travel to health facilities while 18% walked. The rest used either bicycles (5%) or vehicles (2%).
Discussion
The participants were generally low earners based on their average monthly household income. This clearly relates to the high poverty levels in Uganda particularly in rural communities. Such low income levels can affect uptake and utilisation of health services particularly in communities with no public health facilities where services are supposed to be offered for free following abolition of user fees in 200121.
Mobile clinic services are crucial in supplementing services offered at health facilities especially in communities where these are few hence necessitating to travel long distances to seek medical attention (among other challenges). These services are known to be very beneficial to disadvantaged populations such as the poor (including those without health insurance), and where no services are provided22,23.
With a range of services offered at these mobile clinics including immunization, laboratory testing, medical consultation and health education as established by this study, the population would immensely benefit from them.
Although the Ministry of Health (Uganda) recommends mobile clinic services for hard to reach areas and disadvantaged groups24.
Use of CHWs in health service delivery is a strategy used in Uganda and other countries that serves as a community's initial point of contact for health. These CHWs are volunteers who carry out community mobilization, drug distribution, health education, and referral of patients to health facilities. Although CHWs are known to increase access to health care and facilitate appropriate use of health resources25, several studies have indicated high attrition rates amongst them26,27,28.
The major challenges facing CHWs include inadequate , lack of community support, inadequate refresher training, unclear roles and expectations, inadequate supervision, and inappropriate selection of workers26. Although each village in Uganda is recommended to have on average 5 CHWs in form of village health team members29, their numbers are often inadequate as they cover large geographic areas with inadequate means of transport30. Indeed, with the majority of participants in this study unaware of the existence of CHWs in their community, the strategy was not being fully utilised hence the need for strengthening. Having a regular health practitioner enhances health services utilisation and outcomes as it promotes continuity of care31,32.
When a patient visits the same medical worker whenever they are sick, it enables the health practitioner to monitor the health of the patient over time as opposed to visiting a different one during every sickness episode. Indeed, studies have shown that patients with some form of constant care have better access to services than those without a regular source of care33,34. However, rural inhabitants are more likely to lack a regular source of care than those in urban areas mainly because of local resource inaccessibility35. Indeed, the majority of participants in this study did not have regular medical workers for their health needs.
The use of traditional healers was low as established in other studies36,37. However, the use of traditional healers may have been under reported as it is at times associated with stigma36 hence those using them may not openly declare so. Other studies have shown that a biomedical provider is more likely to be consulted when one has a condition with multiple symptoms and occurring for a long time38,39. Patients who seek health care frequently report better health than those who do so less frequently28,40. However, multiple factors are known to influence patient-health worker encounters such as the complexity of the condition, level of patient concern and trust between patient and health worker41. Although the frequency of seeking health care increased with income levels which compares with other studies42,43, some evidence suggests that the poor (and other vulnerable groups) visited health centres more frequently44,45 due to higher burden of disease7. In addition, certain age groups such as children and the elderly46 are known to be vulnerable to illnesses hence have regular visits for medical attention.
The problem of regular stock out of drugs has been known in the Ugandan health system for a long time. The reasons for its occurrence include the long procurement process (bureaucracy) for drugs from the main government suppliers (National Medical Stores - NMS), monopoly of NMS, inadequate funding for essential drugs, lack of skills in medicine forecasting, poor selection and quantification of medicines, poor records management and lack of prioritization47. The continued absence of essential drugs especially at public health facilities has a negative impact on health services utilisation as people shun health facilities because of the usual trend of no drugs. This is likely to lead to unfavourable behaviours such as self medication or use of traditional healers.
High cost of services and long distances to health facilities were the other main challenges established. Other studies conducted elsewhere have also indicated that cost is often a barrier to seeking health services especially among the poor48,49. Due to abolition of user fees at public health facilities, rural communities use them frequently7. However, due to the limited number of public facilities particularly in rural areas, inhabitants are necessitated to use private health care providers at a cost.
The rich may also opt for private facilities because of their higher ability to pay for services50. Long distance that patients need to travel to get health services is a precursor to use of such services. This has been shown in several studies that distance to health facilities affects health services utilisation51,52. The problem of distance to health facilities is aggravated by the high poverty levels in rural communities which affects expenditure on transport. Some patients including those that are disabled or pregnant may not attempt long distances to seek health care without adequate means of transport. Although constructing more health facilities in the country could be a long term strategy to address this problem, providing more frequent mobile clinic services would greatly benefit the rural population.
These use of commercial motorcycles have become a popular means of transport in recent times in Uganda and other countries in the developing world53,54. Indeed, they play an important role in the transport industry for the local economies. In the health sector, motorcycles have been seen to be important especially in emergency situations where a quick response is needed55.
The main limitation of this study is that the findings are limited in terms of generalization and impact since it was a case study conducted in one rural community. There may also have been recall bias when responding to some of the questions asked. Nevertheless, the data provides useful information on the health seeking behaviour and challenges in utilising health facilities in rural communities in Uganda which can inform stakeholders in the health sector in Uganda and other low income countries.
Conclusion
There is potential for stakeholders in health service provision to increase access to health care by increasing the frequency of mobile clinic services and strengthening the community health worker strategy particularly in communities with limited access to health facilities such as in rural areas. In addition, there is need for concerned authorities such as ministries of health to address the health systems challenges such as stock-out of drugs at health facilities which have for long affected health service delivery in Uganda.
Acknowledgements
We acknowledge the financial support provided by Makerere University School of Public Health, in particular the Dean's office and the Department of Health Policy, Planning and Management. We are grateful to the research assistants Godfrey Walusimbi and Frederick Nteza, the chairman of Bbendegere village Samuel Mpanga and all study participants for having made a contribution towards this work. We also thank Wilson Nsubuga for his statistical advice during data analysis.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
The main author (DM) developed the research design, prepared data collection, supervised research assistants during data collection, carried out analysis and drafted the manuscript. PB, CB and MBM assisted with the research design and offered critical comments in the reviewing and writing of the manuscript. All authors read and approved the final version of the manuscript.
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