- Research article
- Open Access
Access and utilisation of primary health care services comparing urban and rural areas of Riyadh Providence, Kingdom of Saudi Arabia
BMC Health Services Research volume 17, Article number: 106 (2017)
The Kingdom of Saudi Arabia (KSA) has seen an increase in chronic diseases. International evidence suggests that early intervention is the best approach to reduce the burden of chronic disease. However, the limited research available suggests that health care access remains unequal, with rural populations having the poorest access to and utilisation of primary health care centres and, consequently, the poorest health outcomes. This study aimed to examine the factors influencing the access to and utilisation of primary health care centres in urban and rural areas of Riyadh province of the KSA.
A questionnaire survey was carried out to identify the barriers and enablers to accessing PHCS in rural (n = 5) and urban (n = 5) areas of Riyadh province, selected on the classification of the population density of the governorates. An adapted version of the NHS National Survey Programme was administered that included 50 questions over 11 sections that assessed a wide range of factors related to respondent’s access and experience of the PHCS. A total of 935 responses were obtained with 52.9% (n = 495) from urban areas and the remaining 47.1% (n = 440) from rural areas of Riyadh province.
This study highlights that there are high levels of satisfaction among patients among all PHCS. In relation to differences between urban and rural respondents, the findings indicated that there were significant variations in relation to: education level, monthly income, medical investigations, receiving blood tests on time, extra opening hours, distance, cleanliness and health prevention. Core barriers for rural patients related to the distance to reach PHCS, cleanliness of the PHCS, receiving health prevention and promotion services, which should serve to improve health outcomes.
This study highlighted important differences in access to and utilisation of PHCS between urban and rural populations in Riyadh province in the KSA. These findings have implications for policy and planning of PHCCs and reducing inequalities in health care between rural and urban populations and contributing to a reduction in the chronic disease burden in Riyadh province.
One of the core aims of the Sustainable Development Goals (SDG’s) is to provide all people throughout the world with equal, unbiased access to and ensure measures are in place to enable utilisation of basic Primary Health Care Services (PHCS) . International evidence continues to demonstrate the fundamental role PHCS plays in improving population health through the reduction of morbidity and all-cause mortality [2, 3]. The impact of globalisation alongside the progression of developing and middle-income countries demographic and epidemiological transition has resulted in a rise in chronic disease . It is reported that the Middle East and North African regions are now shown to have the highest regional prevalence of chronic diseases for 2011, (after age standardisation to the world population) [5, 6]. Consequently, tackling the rising chronic disease burden alongside the associated cost to the national health care systems [7, 8] represents a central agenda for policymakers when addressing changes to PHCS .
The Kingdom of Saudi Arabia (KSA) represents a middle Eastern country which has seen an increased chronic disease burden . Current evidence has indicated that KSA has the 7th highest rate of Diabetes Mellitus (DM) in the world [11, 12] alongside markedly increased rates of hypertension and coronary heart disease [13, 14]. This has, consequently, led to increased health costs to the government. For example, the current cost of diabetes in estimated at 17 billion Riyals  which is expected to increase to 43 billion Riyals .
The existing evidence base (the majority of which is based on evidence from the developed world) shows that early intervention has proven to be an effective strategy for reducing the incidence of chronic diseases and the difficulties, including the costs, associated with treatment of such diseases at the later stages of the conditions [15, 16]. Internationally, research suggests that access to and utilisation of PHCS can been unequal in countries between urban and rural (and nomadic) populations, with the latter having the poorest access to and utilisation of PHCS . Rural (and nomadic) populations are also the most deprived groups within the KSA population [17, 18].
There is a paucity of evidence in comparing access to and utilisation of PHCS between urban and rural populations. By understanding the barriers and enablers to accessing PHCS in rural and urban areas in Riyadh province, KSA, this study will contribute towards reducing inequalities in access to and utilisation of PHCS. The objective of this study was to identify barriers and enablers in relation to access to and utilisation of PHCS among a sample of patients attending PHCS in rural and urban areas of Riyadh province.
The Riyadh province of Saudi Arabia was selected as the location for this study. The Riyadh province consists of twenty governorates (areas, districts or city). The twenty governorates in Riyadh province are not classified as either urban or rural based on any officially published statistics/record. Hence, it was proposed that the top quartile governorates will be classified as urban and the lower quartile as rural based on the population density  for the purposes of this study. The population density of each governorate was calculated by dividing the total population by the area of the corresponding governorate and the governorates were then arranged in a descending order of catchment population density to identify the ‘urban’ (top quartile) and the ‘rural’ (bottom quartile) governorates. Table 1 below presents the figures for the catchment population density for the twenty governorates in the Riyadh province.
Five rural and five urban Primary Health Care Centres (PHCC) in the Riyadh province were selected based on the classification of the population density of the governorates as discussed above (see Table 1). The selection of the PHCCs in these selected rural and urban governorates for the purpose of this study (data collection sites) was based on the Ministry of Health classification of services provided by the PHCCs. The Ministry of Health classifies its PHCCs based on the range of services provided. MOH classifies PHCCs that have a laboratory, dentistry and residential facilities for the GP and a nurse working at the PHCC with the identifier B3. After reviewing the Ministry of Health classifications for the PHCCs, it was observed that the most numerous categories of PHCSs were B3. To ensure like to like comparison (in terms of services offered) between rural and urban governorates, the B3 PHCCs serving the largest population in each governorate were identified as the PHC sites for inclusion in this study (Table 2).
Participants and methods
Participants were eligible to take part in the present study if they were aged 18 years or older, attended one of the recruiting PHCCs, were a Saudi resident and could consent. The sample size was calculated by using the following formulae (1)n = Z 2 α P(1-P)/d 2, where n = required sample size, Zα = 1.96 (standard normal deviation), P = proportion of patients having access to and utilising the PHC and d = precision of estimate. Considering that 50% of patients have access to and are utilising their PHCCs both at urban and rural regions of Riyadh province, with a precision of ±5% and at 5% level of significance, 384 patients each were required at urban and rural PHCCs. The calculated sample size was 384 (n = (1.96)2 × (0.50 (1–0.50) / (0.05)2 = 384.16). With an anticipated 15% non-response and incomplete responses from the patients, the required sample size increased by 56. This represented a final target sample size of 440 from each urban and rural PHCCs, a total of 880 patients from the selected urban and rural PHCCs of Riyadh province (88 patients from each PHCC).
A questionnaire survey was carried out to identify the barriers and enablers to accessing PHCS in rural and urban areas of Riyadh province. An adapted version of the NHS National Survey Programme: Primary Care Trust Question bank 2008 v6 dated 27th November 2007 was used. Permission to use and adapt the questionnaire was obtained from the Care Quality Commission in the UK [20–25]. The original questionnaire was a validated measuring instrument and included 123 questions in 15 sections covering information on local PHCS in the UK. The adapted final questionnaire used for this study included 50 questions over 11 sections. These sections included: (1) making an appointment, (2) visiting the PHCC, (3) seeing a doctor, (4) medicines, (5) tests, (6) referrals, (7) seeing another professional from a PHCC, (8) satisfaction of PHCC, (9) dental care and (10) health promotion alongside (11) personal socio-demographic information (see Additional file 1).
An Arabic version of the questionnaire, information sheet and consent form were developed. These were back translated by the lead researcher (GA) from UK English to Arabic and were piloted for interpretation and accuracy with Saudi postgraduate students studying at the University of Bedfordshire (N = 20). Minimal changes were needed. Modifications mostly related to formatting, i.e. increase of font size and improved presentation of information. In some cases, the Arabic translation used a very high level of Arabic grammar and pilot participants suggested that more ‘every day’ Arabic would be more appropriate to ensure that respondents fully understood the questionnaire.
All patients were recruited at each of the PHCC’s. To facilitate recruitment, practice managers at each of the PHCCs were sent a letter from the Ministry of Health, introducing the study. This was followed up by a phone call from a male research assistant with a date and time to set up a face-to-face meeting with the PHCC practice managers to discuss the research, enlist support to access patients and complete the questionnaire survey.
There were two phases of data collection. Phase one took place across a 3-month period (1 January 2014–31 March, 2014). In phase one PHCC nurses administered the questionnaires through 1–1 interviews with the patients in Arabic.
The lead researcher (GA) with the support of a male researcher provided a training support session with each PHCC practice team, which included practice managers and nursing staff who would administer the questionnaire. During this session, the lead researcher (GA) gave the team a protocol and recruitment packs that provided information on the patient eligibility criteria and the recruitment process. The questionnaires were discussed in detail alongside information on how they should be completed and what support nursing staff should provide. During the recruitment phase, a male research assistant communicated with the PHCC weekly to ascertain recruitment and engagement. Concerns were quickly identified that related to the resources needed for nurses to administer the questionnaires, with only 438 questionnaires completed during this period.
As such, a second phase was built in to the data collection process to facilitate higher recruitment. This phase was conducted across a 2-month period (1st May 2014–1st July 2014). The lead researcher (GS) and a male research assistant, who both had extensive experience in interviewing and administering questionnaires, visited each PHCC to recruit participants. The same recruitment protocol was applied with all questionnaires administered via 1–1 interviews in Arabic. This phase led to the collection of an additional 538 questionnaires. Overall, there were a total of 935 questionnaires collected from both recruitment phases. Table 3 provides the number of questionnaires handed out at each of the phases of the data collection, returned, excluded and the response rate for each PHCC.
Categorical variables for all explanatory variables were calculated. Chi-square Goodness of Fit analyses were completed for frequencies with adjusted standardised residuals (ASR)’s that were calculated to indicate the importance of the cell to the ultimate chi-square value, which considers the overall sample size. This was particularly important given the varying counts by uptake rate across groups. Therefore, when reporting the results, the ASR values were used to indicate significance, i.e. ASR values of 3.09 (p < .001), 2.6 (p < .01) and 2 (p < .05) will signify significance, with anything below 2 deemed non-significant (p > .05). All statistical tests were completed using IBM SPSS for Windows, Version 22 ; two-tailed significance was assumed at p < 0.05.
Ethics, consent and permissions
Ethical approval for this study was obtained from the University of Bedfordshire ethics committee and the KSA Ministry of Health.
A total of 935 responses were obtained with 52.9% of patient respondents from urban areas and the remaining 47.1% from rural areas. Results are presented in Table 4.
Gender and age
There was a total of 43.1% male and 56.1% female respondents. Chi-square analysis revealed that distribution was not equally distributed across the total sample by gender and region (X 2 = (2, N = 935) = 5.90, p < .01). Findings confirmed there were significantly more males from regions identified as ‘rural’ (ASR 2.4; p < .05) with significantly more females from regions identified as ‘urban’ (ASR 2.4; p < .05).
In relation to age distribution, chi-square analysis revealed that the distribution of age of respondents was not equally represented across both urban and rural regions (X 2 = (6, N = 935) = 10.66, p < .05). There were significantly fewer ‘older’ respondents (60 years+) from rural regions (ASR −2.4; p < .05) compared to urban.
Education and income
Respondents from rural regions were more likely to have a higher level of education compared to those from urban regions (X 2 = (4, N = 935) = 13.26, p < .01). Specifically, those residing in urban areas were significantly more likely to have left education at 17–18 years old (ASR 3.2; p < .001) compared to rural areas where respondents were more likely to have left education at 19 years and older (ASR 2.3; p < .05). Furthermore, those from rural areas were significantly more likely to earn more income compared to those from urban areas (X 2 = (3, N = 935) = 18.64, p < .001). Chi square analysis revealed that those residing in rural areas were significantly more likely to earn SAR 3000–15,000 (p < .01) compared to those from urban areas who were significantly more likely to earn SAR 3000 or less (ASR 3.9; p < .001).
There was no association by region (urban vs. rural) and health status (X 2 = (4, N = 935) = 1.84, p > .05). The majority of respondents rated their health as either very good (rural; 53%, urban; 54.3%) or good (rural; 33%, urban; 30.7%) with only a minority rating their health as poor.
Use of services
There was no significant relationship between the region someone resides in (urban vs. rural) and seeing a doctor (X 2 = (2, N = 935) = 0.89, p > .05) with most respondents stating that they have not had an appointment with their doctor in the past 12 months (rural; 100%, urban; 99.8%). Likewise, there was no significant relationship between the region someone resides in (urban vs. rural) and being referred to a specialist (X 2 = (2, N = 935) = 3.07, p > .05) with all respondents stating that they have not been referred to a specialist in the past 12 months. In relation to medical investigations, there was a significant relationship between the region someone resides in (urban vs. rural) and having a blood test (X 2 = (3, N = 935) = 7.96, p > .01). The findings confirmed that respondents from rural regions were significantly more likely to have a blood test (ASR 2.8; p < .01) compared to those from urban regions (ASR −2.8; p < .01).
There was no significant relationship between the region someone resides in (urban vs. rural) and seeing their GP on time (X 2 = (2, N = 935) = 0.89, p > .05) with nearly all the respondents stating that they did not have to wait at all to see their doctor. Moreover, there was no significant relationship between the region someone resides in (urban vs. rural) and receiving blood test results on time (X 2 = (4, N = 935) = 6.33, p > .05).
There was no significant relationship between the region someone resides in (urban vs. rural) and if clinic hours negatively impacted on respondents seeing their doctor (X 2 = (3, N = 935) = 0.66, p > .05), with most respondents stating that opening hours was not an issue. There was a significant relationship between the region someone resides in (urban vs. rural) and wanting extra opening days (X 2 = (5, N = 935) = 17.67, p < .001) and times (X 2 = (6, N = 935) = 28.75, p < .001). The findings confirmed that respondents from urban regions were significantly more likely to want the centre to open early mornings (ASR 4.7; p < .001), with those from rural regions most likely to want the centre to open for extra days (ASR 3.6, p < .001).
In relation to the distance from patients’ residence to the primary care centre, there was a significant relationship between the region someone resides in (urban vs. rural) and distance posing an issue for attending the primary care centre (X 2 = (2, N = 935) = 32.87, p < .001). These findings suggested that distance was significantly more likely to present a problem to those residing in rural regions (ASR 5.7, p < .001) compared to those from urban regions (ASR −5.7, p < .001).
There was a significant relationship between the region someone resides in (urban vs. rural) and the cleanliness of the PCC (X 2 = (5, N = 935) = 42.43, p < .001) and ease of moving around with mobility (X 2 = (4, N = 935) = 12.16, p < .01). Respondents from rural regions were significantly more likely to state that the PCC was not very clean (ASR 4.4, p < .001) and not at all clean (ASR 3.7, p < .001) compared to those from urban regions who were significantly more likely to state the PCC is very clean (ASR 4, p < .001). Mobility appeared to be an issue for those who resided in a rural region. For example, significantly more people from urban regions stating it is very easy to get around (ASR 3.1, p < .001) compared to those from regions areas who were more likely to state it was only ‘fairly easy’ (ASR 3.1, p < .001).
There was no significant relationship between the region someone resides in (urban vs. rural) and help understanding Arabic (X 2 = (3, N = 935) = 1.48, p > .05), with most respondents stating that understanding Arabic was not an issue.
Respondents were asked if they have had to pay for prescribed medicines in the past 12 months. Findings confirmed there was no significant relationship between the region someone resides in (urban vs. rural) and payment for prescriptions (X 2 = (2, N = 935) = 1.31, p > .05), with many respondents stating that they have not had to pay for medicines.
Service provider-patient communication
There was no significant relationship between the region someone resides in (urban vs. rural) and whether the respondent’s doctor listened carefully (X 2 = (2, N = 935) = 2.91, p > .05), provided enough time to discuss health issues (X 2 = (3, N = 935) = 2.36, p > .05) and provided answers for questions (X 2 = (2, N = 935) = 6.69, p > .05) and satisfactorily explained investigative test results (X 2 = (4, N = 935) = 4.95, p > .05). Most respondents viewed the doctor favourably across all factors.
However, there were significant differences noted for ‘being treated with dignity and respect’ (X 2 = (2, N = 935) = 5.37, p < .001) and ‘treatment explained and understood’ (X 2 = (5, N = 935) = 18.5, p < .01). For example, respondents from rural areas felt that their doctor treated them with dignity and respect ‘all of the time’ (ASR 2.3; p < .01) compared with urban respondents who were significantly more likely to state ‘only some of the time’ (ASR 2.3; p < .01). However, in relation to communication relating to treatment, urban respondents were more significantly likely to state treatment was explained well and was well understood (ASR 2.5 p < .01) compared to those from the rural areas.
There was no significant relationship between the region someone resides in (urban vs. rural) and receiving advice related to weight (X 2 = (2, N = 935) = 5.05, p > .05). However, there were significant differences found for blood sugars being checked (X 2 = (3, N = 935) = 7.96, p < .01) and receiving advice relating to healthy eating (X 2 = (4, N = 935) = 21.82, p < .001). The findings confirmed respondents from rural regions were more likely to have their blood sugars checked (ASR 2.8, p < .01). However, respondents from urban regions were significantly more likely to ‘definitely’ receive advice relating to healthy eating (ASR 2.1; p < .05), with those from rural regions less likely to receive advice but significantly more likely to want advice (ASR 4; p < .001).
Respondents were asked to rate their level of satisfaction of using the PCC. There was no significant relationship between the region someone resides in (urban vs. rural) and satisfaction (X 2 = (3, N = 935) = 2.98, p > .05), with the majority of respondents completely satisfied.
There was higher female participation compared to males, which could be reflective of more general patterns of health care utilisation [27, 28]. However, research that has explored health service use in Islamic societies has shown that often females have lower rates of healthcare utilisation . This is often because they remain dependent on men to make decisions about healthcare, with women not normally allowed out to visit a health facility or health care provider alone . The higher participation of females in non-Islamic societies may also be related to the presence of a female administering the questionnaire during recruitment; an essential consideration when conducting research with women in the Saudi Traditional Islamic segregated context [31, 32].
Socio-economic factors, such as income, education and employment, are key enabling characteristics for accessing health care, particularly in terms of the ability to pay for health insurance [33–35]. The monthly income of patient respondents ranged from less than 3000–15,000 Riyals per month, with highest income rates shown for 8000 Riyals and less. This is representative of the average monthly incomes in the KSA . Interestingly, respondents from rural regions earned significantly more (3–15,000 Riyals) compared to urban regions (<3000 Riyals). Furthermore, respondents from rural regions were more likely to have a higher level of education and to have left education later compared to those from urban regions. Traditionally, urban regions and cities were viewed as focal points of economic growth, employment and innovation, all factors shown to be indicative of good general health and wellbeing . However, it is now strongly argued that the proportion of urban poor in developing countries worldwide is increasing faster that of the overall rate of urban population growth . For example, 30% of the urban population of the Middle East and North Africa live in Slums .
The majority of respondents from both urban and rural locations rated their health as good and very good irrespective of what region they were from. This is an interesting finding given that 47.5% (n = 209) of rural and 46.3% (n = 229) of urban patients are taking prescribed medication. Health care research has shown that beliefs and understandings surrounding a patient’s illness in culturally diverse groups are not only a core facilitator of health service uptake [40, 41] but also medication adherence . Consequently, future research should examine the illness beliefs of patients in relation to their health status, co-morbidities and medication to determine what processes are related to help-seeking behaviour and, consequently, access.
Use of services
The majority of respondents from both urban and rural regions stated that they have not made an appointment with a doctor in the past 12 months. Whilst this may relate to recall bias, this does not correspond with other findings. For example, many patients were referred to a specialist and likewise had medical investigations during the same period. Patients from rural areas were significantly less likely to have had a medical investigation in the past 12 months. Further, whilst the majority of respondents from urban areas who had a medical investigation stated they received test results on time, for rural participants this was significantly later than expected. International evidence has suggested that provision of medical care is poorer in rural communities  particularly those in developing countries, which often is related to lower proportions of healthcare professions  and reduced access to medical resources .
Whilst it may have been hypothesized that rural patients would want extra opening hours compared to their urban counterparts, this finding was not supported. For example, urban respondents were shown to want increased opening hours particularly in the evenings, with rural respondents significantly more likely to state that they did not want extra opening hours. This may be related to the economic growth and the increased levels of employment found in the more urbanised provinces of KSA . Further, this finding may be related to the international legislative commitments that have centred on women’s welfare and increasing their societal and economic role [47, 48]. For example, recent evidence has shown that the number of women in employment in Saudi Arabia quadrupled, from 48,000 in 2009 to over 200,000 in 2012 . Differences are found in urban and rural communities, with rural mothers less likely to be employed and more likely to engage in household chores and parental activities [49, 50]. Inconvenient clinic times for PHCC remains a core barrier to accessing health services [51–54], more flexible opening times for urban respondents should serve to improve health outcomes and increase levels of patient satisfaction.
Distance from the patients’ residence was viewed as a barrier to accessing PHCCs for participants residing in rural areas but not from those residing in urban areas. There is an extensive evidence base that continues to suggest that distance from health facilities, often referred to as the ‘distance decay’ effect, has a detrimental impact on health care utilisation [55–57]. It is widely reported that the KSA population is reluctant to travel long distances to PHCCs because of the hot climate found in the summer months [56, 58]. Households within KSA have high rates of car ownership, so the availability of transportation to the PHCC was not considered an important factor that may intersect with distance from residence as a barrier to accessing the PHCC .
The majority of respondents stated it was very easy for them to move around inside the PHCC. This is particularly important in a segregated society like the KSA because, without clearly defined (and resourced) spaces for women and men, access to the PHCC would be a major barrier to accessing and utilising the PHCCs . However, in relation to cleanliness, there were marked differences. For example, rural respondents were significantly more likely to state that the cleanliness was ‘not at all clean’ and ‘not very clean,’ with urban respondents significantly more likely to state their PHCC was ‘very clean’. This has been found in other rural areas of middle income countries where standards are not always consistent . A recent review by the World Health Organisation stated that primary health care centres have significantly lower water, sanitation and hygiene in middle income countries, although this is viewed as problematic for rural residents as often this is the only point of contact . As such, national planning should remain key in improving services and sanitation to improve the delivery of routine services and to prevent and control infections.
However, it is also important to note that the rural sample was characterised by higher levels of income and education. Further, there were more men; therefore, this finding could be related to increased levels of expectations, particularly within in a society with a strong gender hierarchy among wealthier and better-educated men. Research has highlighted that acceptability and levels of satisfaction towards health services, particularly in Middle Eastern countries is higher among disadvantaged groups (women and the poor) compared to men and those with higher levels of income . This, therefore, suggests that satisfaction of services may be variable and is dependent on the local context .
Doctor patient communication
This study found that there was good overall communication between the doctor and patient respondents. The majority of patient respondents said that their doctor listened carefully, had enough time to discuss their medical problem and, if they had questions to ask the doctor, they got the answers and were treated with respect and dignity. These are some of the ideal features patients report as being important to creating positive relationships between the doctor (and other health care professionals) and patient [65–67]. However, there were significant differences found between patient respondents in urban and rural areas in relation to understanding the treatment or action that was explained, with fewer rural patient participants feeling that doctors explained reasons for any treatments. This may be related to levels of expectations as previously reported.
All the GPs included in this study were a non-Saudi national, which is the norm in KSA  (Egyptian, Pakistani, Sudanese and Tunisian), but spoke Arabic and were Muslim, which may be one reason for positive patient responses about seeing the doctor. None of the respondents said they needed help speaking Arabic. We can surmise, therefore, that having doctors who are able to communicate in the vernacular was an enabler for patients accessing and utilising the PHCC. The cultural competency of non-Saudi health professionals has been argued as impacting on patient satisfaction with HCS in the context of KSA, with calls for increased cultural awareness training for non-Saudi health care professional .
Health prevention and promotion
All patient respondents said that they had their blood sugar levels measured and were given advice on weight and advice on healthy eating. Results also showed that patient respondents attending PHCC in urban areas were being given more advice on eating a healthy diet compared to patient respondents attending rural PHCCs. It is clear that the PHCCs are monitoring and addressing the health education needs of their patients related to chronic diseases, but increasing prevalence rates of chronic diseases in the KSA and in the Riyadh province suggest that more health education is needed to stem the epidemic of chronic disease in the KSA [69–72].
Overall satisfaction with the PHCCs
Patient satisfaction has been used as an indication/measure of quality of care. Overall, patient participants were positive about their PHCCs and the majority said they went to the PHCC because the PHCC dealt with them in a satisfactory way. This research highlighted that patients had high levels of satisfaction with this finding consistently for both urban and rural patients. This finding supports existing evidence, which has reported high levels of patient satisfaction with PHCC’s in the KSA [71, 73, 74].
Strengths and limitations
This study has provided some important information on the barriers and enablers to the access and utilisation of PHCS in the Riyadh province in the KSA. Nonetheless, there are several limitations to the study that are noteworthy. The lead researcher (GA) was working in a gender-segregated society where women are not permitted to access male spaces. The gender bureaucracy in the KSA meant that the success of this study, therefore, was heavily dependent on the support of a mahram who acted as the research assistant (mahram). Consequently, GA was dependent on her mahram to support and negotiate access to research sites, practice managers and accessing male patients.
A further limitation related to the patient questionnaire. On some occasions, it was unclear if there was no answer because the question was not applicable or if this was a true missing variable. For example, section E (Test) and section K (Dental care) (see Additional file 1) did not ask patients if they had the relevant facilities in their PHCC. Therefore, if this section was missing, it may have been that the PHCC did not have the facility rather than a true missing variable. This may have impacted the validity of the findings.
Our study demonstrated that there are important differences in access to and utilisation of PHCS between urban and rural populations. Further studies evaluating patient access, utilisation and experiences in other areas of the KSA will assist policy makers and service providers and provide insight into the required service provision. Our study highlights that there are high levels of satisfaction among patients regarding PHCS. However, distance to reach PHCS and extended opening hours are key issues to consider when commissioning PHCS for rural residents.
Adjusted standardised residual
Kingdom of Saudi Arabia
Primary Health Care Centres
Primary Health Care Services
Griggs D, Stafford-Smith M, Gaffney O, Rockstrom J, Ohman MC, Shyamsundar P, Steffen W, Glaser G, Kanie N, Noble I. Policy: sustainable development goals for people and planet. Nature. 2013;495(7441):305–7.
Macinko J, Starfield B, Shi L. The contribution of primary care systems to health outcomes within Organization for Economic Cooperation and Development (OECD) countries, 1970–1998. Health Serv Res. 2003;38(3):831–65.
Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q. 2005;83(3):457–502.
Yusuf S, Reddy S, Ounpuu S, Anand S. Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001;104(22):2746–53.
Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011;94(3):311–21.
Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006;367(9524):1747–57.
Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(1):4–14.
Zhang P, Zhang X, Brown J, Vistisen D, Sicree R, Shaw J, Nichols G. Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(3):293–301.
Yach D, Hawkes C, Gould CL, Hofman KJ. The global burden of chronic diseases: overcoming impediments to prevention and control. JAMA. 2004;291(21):2616–22.
Almalki M, FitzGerald G, Clark M. Health care system in Saudi Arabia: an overview/Aperçu du système de santé en Arabie saoudite. East Mediterr Health J. 2011;17(10):784.
Mokdad AH, Tuffaha M, Hanlon M, El Bcheraoui C, Daoud F, Al Saeedi M, Alrasheedy AA, Al Hussein MA, Memish ZA, Basulaiman M. Cost of Diabetes in the Kingdom of Saudi Arabia, 2014. J Diabetes Metab. 2015;6:575. doi:10.4172/2155-6156.1000575.
Robert AA, Al Dawish AM, Braham R, Musallam AM, Al Hayek AA, Al Kahtany HN. Type 2 Diabetes Mellitus in Saudi Arabia: Major Challenges and Possible Solutions. Curr Diabetes Rev. 2017;13(1):59–64.
El Bcheraoui C, Memish ZA, Tuffaha M, Daoud F, Robinson M, Jaber S, Mikhitarian S, Al Saeedi M, AlMazroa MA, Mokdad AH, Al Rabeeah AA. Hypertension and Its Associated Risk Factors in the Kingdom of Saudi Arabia, 2013: a National Survey. Int J Hypertens. 2014;2014. https://www.hindawi.com/journals/ijhy/2014/564679/abs/.
Al-Nozha MM, Abdullah M, Arafah MR, Khalil MZ, Khan NB, Al-Mazrou YY, Al-Maatouq MA, Al-Marzouki K, Al-Khadra A, Nouh MS, et al. Hypertension in Saudi Arabia. Saudi Med J. 2007;28(1):77–84.
Beaglehole R, Ebrahim S, Reddy S, Voute J, Leeder S. Prevention of chronic diseases: a call to action. Lancet. 2008;370(9605):2152–7.
Kahn R, Robertson RM, Smith R, Eddy D. The impact of prevention on reducing the burden of cardiovascular disease. Diabetes Care. 2008;31(8):1686–96.
Qureshi NA. Strategies for enhancing the use of primary health care services by nomads and rural communities in Saudi Arabia. 1996.
Al Yousuf M, Akerele T, Al Mazrou Y. Organization of the Saudi health system. 2002.
Bakhashwain AS. Acceptance and utilisation of primary health care in Jeddah City, Saudi Arabia. Hull: University of Hull; 1995.
Jenkinson C, Layte R, Jenkinson D, Lawrence K, Petersen S, Paice C, Stradling J. A shorter form health survey: Can the SF-12 replicate results from the SF-36 in longitudinal studies? J Public Health. 1997;19:179–86.
Jenkinson C, Coulter A, Bruster S, Richards N, Chandola T. Patients’ experiences and satisfaction with health care: results of a questionnaire study of specific aspects of care. Qual Saf Health Care. 2002;11(4):335–9.
Brazier JE, Harper R, Jones N, O’cathain A, Thomas K, Usherwood T, Westlake L. Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ. 1992;305(6846):160–4.
McHorney CA, Tarlov AR. Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res. 1995;4(4):293–307.
Rosenthal GE, Shannon SE. The use of patient perceptions in the evaluation of health-care delivery systems. Med Care. 1997;35(11):NS58–68.
Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131(7):485–91.
IBM. IBM SPSS Statistics for Windows, Version 22.0. Armonk: IBM Corp; 2012.
El Bcheraoui C, Tuffaha M, Daoud F, Kravitz H, AlMazroa MA, Al Saeedi M, Memish ZA, Basulaiman M, Al Rabeeah AA, Mokdad AH. Access and barriers to healthcare in the Kingdom of Saudi Arabia, 2013: findings from a national multistage survey. BMJ Open. 2015;5(6):e007801.
Ojanuga DN, Gilbert C. Women’s access to health care in developing countries. Soc Sci Med. 1992;35(4):613–7.
Ahmed SM, Adams AM, Chowdhury M, Bhuiya A. Gender, socioeconomic development and health seeking behavior in Bangladesh. Soc Sci Med. 2000;51:361–71.
Shaikh B, Hatcher J. Health seeking behaviour and health service utilization in Pakistan: challenging the policy makers. J Public Health. 2005;27(1):49–54.
Ryan L, Kofman E, Aaron P. Insiders and outsiders: working with peer researchers in researching Muslim communities. Int J Soc Res Methodol. 2011;14(1):49–60.
Egharevba I. Researching an-‘other’ minority ethnic community: Reflections of a black female researcher on the intersections of race, gender and other power positions on the research process. Int J Soc Res Methodol. 2001;4(3):225–41.
Kuo RN, Lai M-S. The influence of socio-economic status and multimorbidity patterns on healthcare costs: a six-year follow-up under a universal healthcare system. Int J Equity Health. 2013;12(1):69.
Frenk J. Leading the way towards universal health coverage: a call to action. Lancet. 2015;385(9975):1352–8.
James CD, Hanson K, McPake B, Balabanova D, Gwatkin D, Hopwood I, Kirunga C, Knippenberg R, Meessen B, Morris SS. To retain or remove user fees? Appl Health Econ Health Policy. 2006;5(3):137–53.
Ramady M. The Saudi Arabian economy: policies, achievements, and challengs. 2nd ed. Saudi Arabia: Springer; 2010.
Cohen B. Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability. Technol Soc. 2006;28(1–2):63–80.
United nations human settlements programme (UN-HABITAT). The state of the world’s cities 2004/2005: globalization and urban culture. London: Earthscan; 2004.
United nations human settlements programme (UN-HABITAT). The challenge of slums: global report on human settlements. London: Earthscan; 2003.
Kirscht JP. The health belief model and illness behavior. In: Becker MH, editor. The health belief model and personal health behavior. Thorofare: Charles B Slack INC; 1974.
Kar S, Kramer J, Skinner J, Zambrana RE. Panel VI: ethnic minorities, health care systems, and behavior. Health Psychol. 1995;14(7):641–6.
Horne R, Chapman SCE, Parham R, Freemantle N, Forbes A, Cooper V. Understanding Patients’ adherence-related beliefs about medicines prescribed for long-term conditions: a meta-analytic review of the necessity-concerns framework. PLoS One. 2013;8(12):e80633.
Syed ST, Gerber BS, Sharp LK. Traveling towards disease: transportation barriers to health care access. J Community Health. 2013;38(5):976–93.
Grobler L, Marais BJ, Mabunda SA, Marindi PN, Reuter H, Volmink J. Interventions for increasing the proportion of health professionals practising in rural and other underserved areas. The Cochrane Library. 2009;(1):CD005314. doi:10.1002/14651858.CD005314.pub2.
Hall JJ, Taylor R. Health for all beyond 2000: the demise of the Alma-Ata declaration and primary health care in developing countries. Med J Aust. 2003;178(1):17–20.
Al-Rasheed M. A history of Saudi Arabia. New York: Cambridge University Press; 2010.
Moghadam VM. Women, work and family in the Arab region: Toward economic citizenship. DIFI Family Research and Proceedings. 2015:7. http://www.qscience.com/doi/full/10.5339/difi.2013.arabfamily.7.
Saqib N, Aggarwal P, Rashid M. Women Empowerment and Economic Growth: Empirical Evidence from Saudi Arabia. Adv Manag Appl Econ. 2016;6(5):79–92.
Hossain M, Bose ML, Ahmad A. Nature and impact of women’s participation in economic activities in rural Bangladesh: insights from household surveys. Working Papers. Department of Economics, Lund University. 2004(20). https://www.mysciencework.com/publication/show/d2506abc8130a7dcb8bee4def18f977d.
Hossain Z, Juhari R. Fathers across Arab and Non-Arab Islamic societies. Fathers across cultures: the importance, roles, and diverse practices of dads: the importance, roles, and diverse practices of dads. 2015. p. 368.
Kontopantelis E, Roland M, Reeves D. Patient experience of access to primary care: identification of predictors in a national patient survey. BMC Fam Pract. 2010;11:1–15.
Beckman A, Anell A. Changes in health care utilisation following a reform involving choice and privatisation in Swedish primary care: a five-year follow-up of GP-visits. BMC Health Serv Res. 2013;13(1):452.
Scheppers E, Dongen E, Dekker J, Geertzen J, Dekker J. Potential barriers to the use of health services among ethnic minorities: a review. Fam Pract. 2006;23(3):325–48.
Ahmed SM, Adams AM, Chowdhury M, Bhuiya A. Gender, socioeconomic development and health-seeking behaviour in Bangladesh. Social science & medicine. 2000;51(3):361–71.
Arcury TA, Gesler WM, Preisser JS, Sherman J, Spencer J, Perin J. The effects of geography and spatial behavior on health care utilization among the residents of a rural region. Health Serv Res. 2005;40(1):135–56.
Al-Shahrani H. The accessibility and utilization of primary health care services in Riyadh, Kingdom of Saudi Arabia. Norwich: University of East Anglia; 2004.
McLaren ZM, Ardington C, Leibbrandt M. Distance decay and persistent health care disparities in South Africa. BMC Health Serv Res. 2014;14(1):1.
el Shabrawy AM. A study of patient satisfaction as an evaluation parameter for utilization of primary health care services. J R Soc Health. 1992;112(2):64–7.
Al-Sahili K, Aboul-Ella M. Accessibility of public services in Irbid, Jordan. J Urban Plann Dev. 1992;118(1):1–12.
al-Qatari G, Haran D. Determinants of users’ satisfaction with primary health care settings and services in Saudi Arabia. Int J Qual Health Care. 1999;11(6):523–31.
Abodunrin O, Adeomi A, Adeoye OA. Clients’ satisfaction with quality of healthcare received: Study among mothers attending infant welfare clinics in a semi-urban community in South-western Nigeria. Sky Journal of Medicine and Medical Sciences. 2015;2(7):45–51.
World Health Organization. Water, sanitation and hygiene in health care facilities Status in low- and middle-income countries and way forward. Geneva: World Health Organization; 2015.
Peters DH, Garg A, Bloom G, Walker DG, Brieger WR, Hafizur Rahman M. Poverty and access to health care in developing countries. Ann N Y Acad Sci. 2008;1136(1):161–71.
Peters DH, Noor AA, Singh LP, Kakar FK, Hansen PM, Burnham G. A balanced scorecard for health services in Afghanistan. Bull World Health Organ. 2007;85(2):146–51.
Bendapudi NM, Berry LL, Frey KA, Parish JT, Rayburn WL. Patients’ perspectives on ideal physician behaviors. In: Mayo Clinic Proceedings: 2006. Elsevier; 2006;81:338–344.
Beach MC, Sugarman J, Johnson RL, Arbelaez JJ, Duggan PS, Cooper LA. Do patients treated with dignity report higher satisfaction, adherence, and receipt of preventive care? Ann Fam Med. 2005;3(4):331–8.
Walsh K, Kowanko I. Nurses’ and patients’ perceptions of dignity. Int J Nurs Pract. 2002;8(3):143–51.
al-Shahri MZ. Culturally sensitive caring for Saudi patients. J Transcult Nurs. 2002;13(2):133–8.
Al-Eissa EI. The morbidity pattern among adolescents visiting primary health care centers. Saudi Med J. 2000;21(10):934–7.
Alnaif MS, Alghanim SA. Patients’ knowledge and attitudes towards health education: implications for primary health care services in Saudi Arabia. J Family Community Med. 2009;16(1):27.
Al-Faris E, Al Taweel A. Audit of prescribing patterns in Saudi primary health care: what lessons can be learned? Ann Saudi Med. 1998;19(4):317–21.
Khan AR, Lateef ZNA-A, Al Aithan MA, Bu-Khamseen MA, Al Ibrahim I, Khan SA. Factors contributing to non-compliance among diabetics attending primary health centers in the Al Hasa district of Saudi Arabia. J Family Community Med. 2012;19(1):26.
Ali MES. A study of patient satisfaction as an evaluation parameter for utilization of primary health care services. J R Soc Promot Health. 1992;112(2):64–7.
Almoajel A, Fetohi E, Alshamrani A. Patient satisfaction with primary health care in Jubail City, Saudi Arabia. World J Med Sci. 2014;11(2):255–64.
This research was funded by the Ministry of Health, Kingdom of Saudi Arabia.
Availability of data and materials
The data from this study will not be made publically available as it contains personal identifiable data.
GA, GR, EC, and NA were involved in conception and design of the study. GA collected all data. All authors contributed to interpretation and prioritisation of findings. GA and EC conducted the statistical analysis. GA drafted the paper. GR is the guarantor. GA, GR, EC, and NA read and approved the final manuscript.
The authors declare that they have no competing interests.
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Ethics approval and consent to participate
Ethical approval for this study was obtained from the University of Bedfordshire ethics committee and the KSA Ministry of Health. All participants were provided with an information sheet available in English and Arabic. The translation was checked and validated by the research team using backward and forward translation. Consent was obtained verbally by the research team prior to the completion of the questionnaire.
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Alfaqeeh, G., Cook, E.J., Randhawa, G. et al. Access and utilisation of primary health care services comparing urban and rural areas of Riyadh Providence, Kingdom of Saudi Arabia. BMC Health Serv Res 17, 106 (2017). https://doi.org/10.1186/s12913-017-1983-z
- Health service access
- Primary health care