Rapid rural-urban migration of people to cities is a reality around the globe that has increased city slum dwellers. Sodom and Gomorrah is a city slum located in the heart of Accra, Ghana. Like other slums, it lacks basic amenities necessary for dwellers’ quality of life. This study describes residents’ access to health and factors associated with the use of healthcare facilities.
Questionnaires were administered in systematically selected shacks across the entire slum. Data on demographic characteristics, existent health facilities and number of users, health-insured residents and knowledge of common diseases were collected.
Majority of the residents were from the northern parts of Ghana, relative to the south and a few of them come from other parts of West Africa. Seventy-one percent of residents had never visited a health facility in the last 5 years. When necessary, they access health care from drug stores (61.1%) or hospitals (33.1%). Residents’ age, educational status, income, health knowledge and membership of National Health Insurance Scheme were significantly (
Conditions of profound environmental hazards, overcrowding, poor-quality housing and lack of health care in Sodom and Gomorrah pose grave threats to the health of the inhabitants. Multisectoral interventions and resource mobilisation championed by the Ministry of Local Government and Rural Development are needed to alter the trend.
A slum, according to the United Nations and UN-Habitat, is a run-down area of a city characterised by poor substandard structural quality of housing, insecure residential status, squalor, overcrowding and lack of basic amenities.
City slums may geographically be close to healthcare facilities, yet residents are deprived of access to needed health care resulting in negative economic and health consequences.
Improving living conditions and access to quality health care for all, particularly for slums dwellers, is central to development and speedy realization of the Millennium Development Goals (MDGs) in any country. Efforts towards achieving the first MDG goal, eradication of extreme poverty, through cross-cutting appears more urgent in slums where poverty is demonstrably present.
The purpose of the study was to examine health issues in Sodom and Gomorrah in Accra, Ghana, and factors that may be associated with accessing healthcare facilities in the last year. This study is timely in the light of the fact that even though a plethora of studies on slums exist, very few have looked at the situation in sub-Saharan Africa and studies on Ghana are practically nonexistent. Because slums around the globe share similar characteristics of poverty and deprivations in many spheres of life, including health care,
The survey was conducted in Sodom and Gomorrah, a slum within Accra city, near the Korle Bu Teaching Hospital (KBTH). It stretches across 146 hectares and houses an estimated 25 000 to 40 000 residents. Residents are ethnically diverse, mostly poor, barely educated and generally unemployed or engaged in odd, nonpermanent jobs. Sodom and Gomorrah is characterised by poor housing, dirt and squalor, overcrowding and inadequate access to safe and clean water, sanitation and other infrastructure. It is one of the world’s digital dumping grounds, where millions of electronic waste products from the West are crudely processed each year.
This was a cross-sectional study. We conceptualised that access to health care in the slum was low and influenced by factors such as availability of health facilities, pattern of health facility use, based in part on knowledge of common illnesses, and on acquisition of health insurance to facilitate use of available health services. Based on this, we selected a total of 465 adults in the community who were heads of their respective dwellings or households. This sample size was deemed sufficient to estimate with 95% confidence that the proportion of Sodom and Gomorrah dwellers who used a healthcare facility in the last 1 year prior to this survey will not differ from 55% (the proportion of rural populations in Ghana who consult medical personnel)
A structured questionnaire with close-ended questions on respondent demographics, use of health facility in the last 1 year, membership of National Health Insurance Scheme (NHIS) and knowledge of causes, signs and symptoms, treatment and prevention of common illnesses in the community was used for data collection. Other data collected on potential barriers to the access and use of healthcare facilities included attitude of healthcare providers, distance to nearest health facility and access to transportation. The questionnaire was independently reviewed and edited by the investigators to ensure quality control and appropriateness for study. The questionnaire was pretested in Makola in the central business district of Accra amongst 50 head porters and truck pushers at the close of day when they were readily available. Pretesting of the questionnaire was done in this group because the investigators perceived that they are similar to the slum residents in demographic characteristics and hassled life styles. Pretesting of the questionnaire did not reveal any need for changes.
A research assistant and her team were trained on the administration of the questionnaire to ensure uniformity and consistency in their approach. The questionnaire was administered individually to participants by a team led by the research assistant moving from dwelling to dwelling within the slum over a 2-week period in December 2011.
Respondents were approached by the research assistant and her team who explained in detail the purpose of the study and solicited participation. Data were entered in Microsoft Office Excel, 2007. A composite indicator for health knowledge based on knowledge of causes, signs and symptoms, and prevention of malaria and cholera and common illnesses mentioned was constructed. Questions assessing knowledge were grouped under six blocks, which are causes of malaria, signs and symptoms of malaria, prevention of malaria, signs and symptoms of cholera, prevention of cholera and knowledge of other illnesses in the slum. Respondents’ knowledge was graded as good if they provided at least one correct response for each block. Respondents’ knowledge was graded as fair if they provided at least one correct response for only four or five blocks. Respondents’ knowledge was graded as poor if they provided at least one correct response for only three or less blocks. Stata 12.1
Risk ratio (RR) estimates and their confidence intervals were estimated by using the modified Poisson regression with a robust error variance. Adjusting the RR for other predictors or potential confounders was done by adding them to the model statement. A
Ethical approval for this study was granted by the Committee on Human Research, Publications and Ethics, Kwame Nkrumah University of Science and Technology, School of Medical Sciences, Kumasi, Ghana. Written informed consent was sought from all participants and consent obtained before questionnaires were administered. Illiterate participants thumb printed and/or gave verbal consent after they had been provided with adequate information about the study and had all their concerns and/or questions answered.
We sampled a total of 465 slum dwellers. Two were excluded from the analysis because of nonresponses. The Sodom and Gomorrah community has no hospitals or clinics. The residents said they mostly accessed health care from two drug stores in the slum and from herbalists. A few attended the Cathedral Clinic nearby in the past and only one respondent had ever attended the KBTH, which is a tertiary health facility in the city of Accra. Some demographic characteristics of the participants are presented in
Some characteristics of residents of Sodom and Gomorrah.
Characteristics | % | |
---|---|---|
Male | 298 | 64.4 |
Female | 165 | 35.6 |
18–21 | 126 | 30.66 |
22–25 | 144 | 35.04 |
26 and above | 141 | 34.31 |
Mean (SD) | 25.6 | (7.5) |
Median (interquartile range) | 24 | (7) |
Southern | 164 | 35.9 |
Northern | 261 | 57.1 |
Foreign | 32 | 7.0 |
During last year | 72 | 15.9 |
More than a year ago | 58 | 12.8 |
Never | 322 | 71.2 |
Yes | 136 | 29.4 |
No | 327 | 70.6 |
Yes | 90 | 19.4 |
No | 373 | 80.6 |
Hospital | 149 | 33.1 |
Chemical shop | 275 | 61.1 |
Herbalist | 11 | 2.4 |
Self-medication | 15 | 3.3 |
No problem | 338 | 74.1 |
A problem | 118 | 25.9 |
No problem | 333 | 73.2 |
A problem | 122 | 26.8 |
NHIS, National Health Insurance Scheme; SD, standard deviation.
Majority of them (80.6%) were not registered members of the NHIS at the time of the survey. They cited lack of money (45.5%) for the initial registration as the main reason for not having a national health insurance membership. Other reasons included inconvenience (13.4%), no need for it (9.1%) and other unexplained reasons (14.7%). The respondents were predominantly from the northern parts of Ghana, relative to the south. A few of them were from the West African subregion.
According to the residents, malaria and diarrhoeal diseases were the most prevalent illnesses in the slum because of the prevailing poor sanitation conditions. They also mentioned mental illness, HIV and convulsion in the young, though these were less frequent. Using malaria and cholera, we gauged residents’ health awareness by asking about the causes, symptoms and signs, and methods of prevention of the two diseases. Majority of the respondents (47.7%) had good knowledge about the causes, symptoms and signs of these illnesses and measures to prevent their occurrence (
Assessment of residents’ knowledge on common illnesses.
Characteristics | % | |
---|---|---|
Malaria | 153 | 34.5 |
Diarrhoea | 86 | 19.4 |
Respiratory tract infections | 47 | 10.6 |
HIV | 14 | 3.2 |
Mental illness | 53 | 12.0 |
Other | 90 | 20.3 |
Mosquito bites | 304 | 67.7 |
Choked gutters | 27 | 6.0 |
Rubbish damps | 23 | 5.1 |
Open gutters | 8 | 1.8 |
Stagnant waters | 6 | 1.3 |
Others | 81 | 18.0 |
Clean environment | 176 | 40.7 |
Insecticide treated net use | 126 | 29.2 |
Screen entrances | 15 | 3.5 |
Use insecticides | 71 | 16.4 |
Others | 44 | 10.2 |
Fever | 149 | 33.1 |
Headache | 52 | 11.6 |
Chills | 62 | 13.8 |
Vomiting | 35 | 7.8 |
Weakness | 66 | 14.7 |
Loss of appetite | 16 | 3.6 |
Others | 70 | 15.6 |
Watery stools | 293 | 64.8 |
Vomiting | 55 | 12.2 |
Weakness | 30 | 6.6 |
Loss of appetite | 6 | 1.3 |
Others | 68 | 15.0 |
Good hygiene | 251 | 63.5 |
Eat clean food | 72 | 18.2 |
Use clean water | 4 | 1.0 |
Clean hands | 57 | 14.4 |
Hygienic food handling | 11 | 2.8 |
Poor | 55 | 11.88 |
Fair | 187 | 40.39 |
Good | 221 | 47.73 |
Factors associated with the use of formal healthcare facilities amongst the slum dwellers are presented in
Factors associated with utilisation of health care by residents of Sodom and Gomorrah.
Associated factors | Used healthcare facility | ||||||
---|---|---|---|---|---|---|---|
No | Yes | Total | |||||
% | % | % | |||||
Male | 204 | 62.39 | 94 | 69.12 | 298 | 64.36 | 0.168 |
Female | 123 | 37.61 | 42 | 30.88 | 165 | 35.64 | |
18–21 | 94 | 32.64 | 32 | 26.02 | 126 | 30.66 | 0.015 |
22–25 | 108 | 37.5 | 36 | 29.27 | 144 | 35.04 | |
26 and above | 86 | 29.86 | 55 | 44.72 | 141 | 34.31 | |
Married | 117 | 36.34 | 55 | 41.67 | 172 | 37.89 | 0.288 |
Not married | 205 | 63.66 | 77 | 58.33 | 282 | 62.11 | |
No education | 146 | 45.48 | 35 | 26.52 | 181 | 39.96 | < 0.001 |
Primary education | 121 | 37.69 | 61 | 46.21 | 182 | 40.18 | |
Secondary education | 54 | 16.82 | 36 | 27.27 | 90 | 19.87 | |
Southern | 109 | 33.75 | 55 | 41.04 | 164 | 35.89 | 0.003 |
Northern | 198 | 61.3 | 63 | 47.01 | 261 | 57.11 | |
Foreign | 16 | 4.95 | 16 | 11.94 | 32 | 7 | |
Earn regular income | 42 | 12.96 | 31 | 23.13 | 73 | 15.94 | 0.007 |
No regular job/income | 282 | 87.04 | 103 | 76.87 | 385 | 84.06 | |
Yes | 48 | 14.68 | 42 | 30.88 | 90 | 19.44 | < 0.001 |
No | 279 | 85.32 | 94 | 69.12 | 373 | 80.56 | |
Some knowledge | 46 | 14.07 | 30 | 22.06 | 76 | 16.41 | 0.034 |
No knowledge | 281 | 85.93 | 106 | 77.94 | 387 | 83.59 | |
Poor | 30 | 9.17 | 25 | 18.38 | 55 | 11.88 | 0.006 |
Fair | 129 | 39.45 | 58 | 42.65 | 187 | 40.39 | |
Good | 168 | 51.38 | 53 | 38.97 | 221 | 47.73 | |
No | 303 | 94.39 | 123 | 90.44 | 426 | 93.22 | 0.125 |
Yes | 18 | 5.61 | 13 | 9.56 | 31 | 6.78 | |
Not a problem | 254 | 79.38 | 84 | 61.76 | 338 | 74.12 | < 0.001 |
A problem | 66 | 20.63 | 52 | 38.24 | 118 | 25.88 | |
Not a problem | 241 | 75.31 | 92 | 68.15 | 333 | 73.19 | 0.115 |
A problem | 79 | 24.69 | 43 | 31.85 | 122 | 26.81 | |
Not a problem | 177 | 55.14 | 88 | 65.19 | 265 | 58.11 | 0.047 |
A problem | 144 | 44.86 | 47 | 34.81 | 191 | 41.89 |
NHIS, National Health Insurance Scheme.
Estimates of relative risk of predictors of utilisation of health care by residents of Sodom and Gomorrah.
Predictors of healthcare use | Risk ratio | 95% Confidence interval | IRR | 95% Confidence interval | ||
---|---|---|---|---|---|---|
Male | Reference | Reference | ||||
Female | 0.81 | 0.59–1.10 | 0.176 | 1.14 | 0.82–1.57 | 0.434 |
18- | Reference | Reference | ||||
22- | 0.98 | 0.65–1.48 | 0.94 | 1.08 | 0.69–1.66 | 0.732 |
26- | 1.54 | 1.06–2.21 | 0.021 | 1.51 | 0.99–2.28 | 0.053 |
Married | Reference | Reference | ||||
Not married | 0.85 | 0.63–1.14 | 0.285 | 1.34 | 0.96–1.87 | 0.082 |
No education | Reference | Reference | ||||
Primary education | 1.73 | 1.20–2.48 | 0.003 | 1.57 | 1.06–2.30 | 0.023 |
Secondary education | 2.07 | 1.39–3.05 | < 0.001 | 1.72 | 1.11–2.66 | 0.014 |
Southern | Reference | Reference | ||||
Northern | 0.72 | 0.53–0.97 | 0.034 | 0.98 | 0.71–1.34 | 0.912 |
Foreign | 1.49 | 0.99–2.24 | 0.055 | 1.18 | 0.69–2.01 | 0.541 |
Earn regular income | Reference | Reference | ||||
No regular job/income | 0.63 | 0.46–0.86 | 0.004 | 0.70 | 0.50–0.96 | 0.031 |
Yes | Reference | Reference | ||||
No | 0.54 | 0.40–0.71 | < 0.001 | 0.55 | 0.39–0.75 | < 0.001 |
Some knowledge | Reference | Reference | ||||
No knowledge | 0.69 | 0.50–0.95 | 0.026 | 0.61 | 0.43–0.85 | 0.004 |
Poor | Reference | Reference | ||||
Fair | 0.68 | 0.47–0.97 | 0.038 | 0.64 | 0.42–0.96 | 0.033 |
Good | 0.53 | 0.36–0.76 | 0.001 | 0.44 | 0.28–0.66 | < 0.001 |
No | Reference | Reference | ||||
Yes | 1.45 | 0.93–2.25 | 0.097 | 1.45 | 0.86–2.44 | 0.158 |
Not a problem | Reference | Reference | ||||
A problem | 1.77 | 1.34–2.33 | < 0.001 | 1.62 | 1.17–2.23 | 0.003 |
Not a problem | Reference | Reference | ||||
A problem | 1.28 | 0.94–1.71 | 0.108 | 1.01 | 0.71–1.43 | 0.943 |
Not a problem | Reference | Reference | ||||
A problem | 0.74 | 0.54–1.00 | 0.051 | 0.77 | 0.55–1.07 | 0.122 |
NHIS, National Health Insurance Scheme.
In this study, we assessed utilisation of formal healthcare services by residents of Sodom and Gomorrah as a measure of access to and use of health care. We found that the majority of those sampled were youthful but unskilled, often jobless, and paid less attention to their health and general welfare. Majority of respondents had at least a primary-level education and a good overall knowledge about prevalent illnesses amongst residents of the slum. Just about 2 out of 10 respondents had an NHIS membership. A resident with NHIS membership was more than twice as likely to use a formal healthcare facility. Sodom and Gomorrah is centrally located in Accra and just about 300 m from the KBTH and even closer to other smaller health facilities. Indeed, the respondents indicated that neither distance nor access to transportation hindered them from using a health facility. Despite the central location of the slum and its proximity to healthcare facilities, it was interesting to note that less than 3 out of 10 used formal health care when they had need for it. They chose instead to seek from other sources. However, Agarwal and colleagues
The main health problems prevalent in this slum were malaria and diarrhoeal diseases. This is not surprising as the community has no pipe-borne water or good sanitary facilities. Sanitation is generally poor. There are no well-constructed gutters or drainage systems to allow easy flow of water. The few open gutters are choked with debris, resulting in dirty stagnant ponds and flooding during the rainy season. Houses are overcrowded and all-purpose. This is typical of slums as was observed in other studies conducted in slums.
It was observed that residents of Sodom and Gomorrah live in poor shacks primarily built or held together with old roofing sheets, plywood and/or cardboard papers. Children appeared neglected and malnourished, whilst adults loiter around smoking marijuana, sometimes with young children looking on. These conditions characterise Sodom and Gomorrah as a slum as defined operationally by the UN.
These results suggest that proximity of Sodom and Gomorrah to a tertiary health facility and many others in the centre of Accra did not necessarily encourage their patronage amongst the residents. However, just as it is the case for most Ghanaians, health-seeking behaviour is influenced by cultural and religious beliefs and practices.
Increasing urbanisation is a major factor in the creation and continued existence of the Sodom and Gomorrah slum. The slum reveals a ‘theatre of social exclusion’ where prevailing poor economic, educational and sociocultural conditions conspire as if to perpetuate each other’s reign. Conditions of profound environmental hazards, overcrowding and poor-quality housing and lack of health care or other essential services in Sodom and Gomorrah pose grave threats to the health of the inhabitants and probably to the rest of the city of Accra. Interventions requiring significant multisectoral effort and resource mobilisation championed by the Ministry of Local Government and Rural Development are needed to attempt a resolution of this crisis.
We thank all the participants who gave their time to participate in the study and the entire field team that worked so hard in collecting and processing the data.
The authors declare that they have no financial or personal relationship(s) that may have inappropriately influenced them in writing this article.
H.T. (Kwame Nkrumah University of Science and Technology) and F.E.O.A. (Kwame Nkrumah University of Science and Technology) devised the study design and objectives. H.T., M.A.T. (Military Hospital) and F.E.O.A. contributed to data collection, analysis and interpretation. F.E.O.A. wrote the first draft of the manuscript. All authors read, commented on and approved the final manuscript.