Skip to main content
  • Research article
  • Open access
  • Published:

Self-management of diabetes in Sub-Saharan Africa: a systematic review



The prevalence of diabetes in sub-Saharan Africa has increased rapidly over the last years. Self-management is a key element for the proper management, but strategies are currently lacking in this context. This systematic review aims to describe the level of self-management among persons living with type 2 diabetes mellitus in sub-Saharan Africa.


Relevant databases including PubMed, Web of Science and Google Scholar were searched up to September 2016. Studies reporting self-management behavior of people with type 2 diabetes mellitus and living in sub-Saharan Africa were included.


A total of 550 abstracts and 109 full-text articles were assessed. Forty-three studies, mainly observational, met the inclusion criteria. The studies showed that patients rarely self-monitored their glucose levels, had low frequency/duration of physical activity, moderately adhered to recommended dietary and medication behavior, had poor level of knowledge regarding diabetes related complications and sought traditional or herbal medicines beside of their biomedical treatment. The analysis also revealed a lack of studies on psychosocial aspects.


Except for the psychosocial area, there is a good amount of recent studies on self-management behavior of type 2 diabetes mellitus sub-Saharan Africa. These studies indicate that self-management in sub-Saharan Africa is poor and therefore a serious threat to the health of individuals and the health systems capacity.

Peer Review reports


Although the true burden of diabetes in sub-Saharan Africa (SSA) is unknown, it is recognized as a serious challenge to health systems [1, 2]. Current prevalence-estimates range between 2.1 and 6.0%, and the number of people suffering from the disease is likely to double within the next 25 years [3]. In order to reduce the burden posed to health systems and affected individuals, patients with diabetes need to adopt certain self-management behaviors. The American Diabetes Association (ADA) has therefore defined a list of essential self-care behaviors, which have been found to be positively correlated to good glycemic control and a reduction of complications [4, 5]. Diabetes Self-Management Education (DSME) is critical for informing patients about these essential self-care behaviors. Currently, DSME in most African countries is limited in scope, content and consistency and it is not clear how patients from SSA manage their diabetes [6,7,8]. Therefore, the aim of this systematic review is to assess the status of self-management of people with diabetes in SSA, and to analyze to what extent they follow the recommended self-management behavior.


Search strategy and screening procedure

A preliminary search was performed in order to find appropriate terms. The final search strategy was discussed among the authors (VS and DO). Search term categories belonged to: “Diabetes”, “Sub-Saharan Africa” and “Self-management”. Databases included in the search were PubMed, Web of Science and Google Scholar. In addition, reference lists of screened studies were checked. An example of the performed search and the key words used is provided in Additional file 1.

The search-strategy yielded 741 publications (MEDLINE 436, Web of Science 232, Google Scholar 50). After removal of duplicates, 550 studies remained. VS and DO reviewed titles, keywords and abstracts independently and discussed the eligibility for full-text inclusion.

After discussing results and resolving disagreements, full texts of the remaining 109 publications were screened for eligibility. The overlapping rate of included and excluded studies was 87% between both authors. Disagreements were discussed and resolved by consensus, resulting in forty-three articles included in this review.

Inclusion criteria

Studies were included for this review if they met the following inclusion criteria:

  • They took place in at least one country from sub-Saharan Africa, as defined by the World Bank [9]

  • Participants were people living with type 2 diabetes mellitus (which accounts for 90% of all diabetes cases in SSA [10])

  • The study analyzed self-management behavior of type 2 diabetes patients as defined by the American Diabetes Association (ADA) as described in Table 1. If a study analyzed both, type 1 and type 2 diabetes, it was only included if the outcome measures (or self-management behavior) for patients with type 2 diabetes were presented separately

  • Published anytime before September 2016 (with no limit concerning the start date)

  • The study was published in English or German

Table 1 Specification of categories and included outcomes used for the analysis of self-management as given by the ADA [5]

Table 1 presents all self-management related outcome categories and specifies them according to the recommendations given by the ADA [11].

Data extraction, analysis, and synthesis

Two data extraction templates (using Microsoft Excel) were developed to gather all data relevant for the analysis. One template was used for collecting characteristics of included studies (e.g. year of publication, country, number of participants, number of woman/man, age); study results and relevant information on self-management were collected in a second template. Qualitative and quantitative results were combined and summarized according to their specific area of self-management. Quantitative results were rounded to the nearest full percent and study-size-weighted arithmetic averages were calculated if eligible.

Risk of bias was assessed and information about the quality of the included studies were derived from the text using quality-assessment tools for cross-sectional studies [12], pre-post studies [13] and randomized controlled trials [14]. Additional file 2 contains the full details of a PRISMA checklist for this review and the full risk assessment of the included studies can be found in the Additional files 3, 4, 5.


The final analysis included forty-three studies. Figure 1 illustrates the literature search and selection process. Common reasons for exclusion were: lack of results, reports from non-SSA countries, or focus on other diseases than type 2 diabetes mellitus. Publication dates were between 2002 and 2016. The majority of studies (n = 33) were published after 2010.

Fig. 1
figure 1

Literature screening process

Description of included studies

Study characteristics such as the year of publication, sample size, study design and the measured outcome parameters of the forty-three included studies are summarized in Table 2. Most studies took place in Nigeria (n = 13) and South-Africa (n = 11), followed by Ghana (n = 6), Uganda (n = 4), Ethiopia (n = 3), Cameroon (n = 2), Tanzania, Kenya, Sudan, Zimbabwe (n = 1 each). Thirty-five studies were observational (mostly cross-sectional, only one longitudinal study [15]), while six studies were experimental (two studies described the same intervention [16, 17]). 8281 participants with type 2 diabetes were included with an average age above 50 years, and out of which 4676 were women (3 studies did not indicate how many men or women were included). People had been living with their diabetes on average over 5 years. Most studies dealt with the self-management area of medication (n = 26), followed by the assessment of nutritional intake and the engagement in physical activity (n = 21 and n = 20). Fifteen studies were about risk reduction and self-monitoring of blood glucose, respectively. Only three studies considered psychosocial aspects of people with diabetes.

Table 2 Characteristics of included studies

All experimental studies tested various forms of DSME programs, with either a pre-post design [18, 19], or a control group [16, 17, 20] study-design. One intervention was done by counselling and educating the patients on medication adherence at the beginning of the study [21]. In another study [18] patients attended a one-day education program. Two studies tested the impact of 4 one-hour group education sessions about the importance of nutrition, physical activity, adherence to medication and risk reduction [19, 20]. A more comprehensive intervention tested the outcome of weekly group education sessions on nutritional aspects, combined with monthly follow up sessions plus education in vegetable gardening [16, 17].

Study results on self-management

Healthy eating

Twenty-one studies included information on healthy eating self-care behaviors. Participants understood that unhealthy eating is a dominant cause of diabetes [16, 22, 23] and that it is important to take aspects such as the sugar-, salt- or fat-level of consumed food into consideration [19, 22, 24,25,26]. However, misconceptions and gaps of knowledge were present; particularly about the definition of high risk food [19], the sugar-level of food [24, 27] and the underlying diabetes related metabolic mechanisms [24]. As found in one study, respondents did not know the proportion of food they were allowed to eat [24]. And another study showed that mostly men talked about regular meals, while most women did not [28]. ‘Positive dietary behavior changes’ because of their diabetes were reported by 33% of Nigerian [29], 51% of Ghanaian [30] and most of South African [16] participants. Regarding the adherence to a certain diet plan, 60% [31], 70% [32] and 87% [33] stated that they ‘followed an eating plan’.

Four experimental studies assessed the impact of counseling sessions on the adherence to diet plans. Two interventions assessed the impact of four one-hour group education sessions on nutritional aspects: One increased the level of adherence significantly from 4.8 to 5.9 days per week [19] and one decreased the adherence non-significantly from 4.8 to 4.6 days per week [20]. The third intervention, which combined weekly group educational sessions on nutritional aspects with monthly follow up sessions and education in vegetable gardening, significantly reduced the intake of energy and starchy food [17]. The fourth intervention, which consisted of weekly contacts among the patients over a period of four months, was found to improve the healthy eating habit of patients significantly from 11.5 points to 22.4 points (out of 25 total points on the ‘Diabetes Self-Management Assessment and Reporting Tool’) [18].

Being active

Seventeen observational studies assessed physical activity behaviors and three interventional studies tested the impact of group educational programs.

The majority of participants in six studies were aware of the importance of being active and of doing regular aerobic exercises (such as brisk walking or climbing staircases) as part of their non-medical treatment [22, 25, 34,35,36,37]. However, respondents in three studies showed that a majority did not understand the relevance of physical activity as part of their glycemic control and therefore revealed gaps in knowledge on recommended type, frequency and duration of physical activity [24, 38, 39]. In addition, men and women were not always equally well-informed [34].

No study mentioned that participants had an activity plan or kept records of type, frequency, time and intensity of all exercises, or did glucose checking before and after doing sports.

Five observational studies indicated a low engagement in practicing exercises: 29% mentioned to ‘practice exercise’ [29], and only 25% [19], 27% [37], 33% [32] and 46% [40] said they were engaged in exercises on a regular basis. The most common type of exercise among participants was brisk walking [26, 37].

Less than half of the people who were engaged in regular exercises did their exercise daily [26] and only 39% at least in 30 min of duration [37]. In one study [31], 50.5% of respondents from Ethiopia reported to be engaged in at least 30 min of physical activity for total of ≥3 days per week.

Interventions with frequent group education sessions had mixed results based on the studies identified. One study found a significant increase in physical activity from 3 to 4.5 days per week [19], one found a non-significant increase from 4.1 to 4.5 [18], and one found a non-significant decrease from 4 to 3.9 days per week [20].


Fifteen observational studies reported on patients’ behavior regarding monitoring of blood glucose. The vast majority of respondents from Nigeria [24] and Zimbabwe [25] reported to not be aware of SMBG. Thirteen studies observed how many of the study participants had the possibility to self-monitor their blood glucose level and had access to a glucometer at home (Fig. 2). The results indicate a very low degree of SMBG, ranging from a study from Uganda, where none of the patients had access to a glucose meter at home [41] to one study from Nigeria with 43% of all patients doing glucose testing at home [40]. On average only 15% of all patients were able to test his or her blood glucose level at home [23, 25, 29, 31, 32, 40,41,42,43,44,45,46,47].

Fig. 2
figure 2

Percentage of people who are able to self-monitor their blood-glucose level at home

Most patients, who had access to a glucometer at home, checked their glucose level only once a month or at no regular interval [21, 45, 47]. Only 1% [21] and 2% [45] of respondents measured their glucose level on a daily basis. One study mentioned that women did SMBG more regularly than men [47]. Another study reported that half of those people who performed SMBG, also kept records of their results [40]. Most importantly, no study reported patients’ ability to analyze test results and whether they know what to do if their glucose numbers are off target.


Twenty-three observational and three experimental studies included information on peoples’ awareness and adherence to prescribed medication. The most common type of medication prescribed were oral hypoglycemic agents (OHA): On average, 86% were on OHA alone, while 7% were on a combination of OHA and Insulin and the remaining 7% were on Insulin alone [29, 31,32,33, 40, 42, 46, 48, 49]. The fact that diabetes drugs need to be taken throughout the life-time was known by the majority of patients in Nigeria [24, 29, 36] and Uganda [34].

Six observational studies assessed patients’ medication adherence by using the Morisky Medication Adherence Scale (MMAS). It entails (8 or 4, depending on the MMAS-version) questions about the self-reported medical adherence. A perfect medication adherence is having a full score on the MMAS (meaning 8 or 4 points). Setting a cut-off point at 75% of the MMAS (indicating a moderate level of adherence), the adherence rate is on average 64% (see Fig. 3) [29, 32, 43, 46, 50, 51].

Fig. 3
figure 3

‘Morisky Medication Adherence Scale’ results showing the percentage of people with a moderate medication adherence (> 75% of adherence)

Six other studies asked for the non-adherence (instead of adherence) without utilizing a standardized questionnaire. The results ranged from 20% of people who had a “lack of adherence” [52], to 21% who stated that they “missed the medication” [42], to 35% who were classified as having a “poor adherence” [22], to half of all participants who reported that they “forget sometimes” to take their medication [24] and who do not “take the drugs on time” [40].

One study [53] asked the responsible diabetes doctors about their perception on patients’ adherence to prescribed medication. They concluded that the majority of all patients are non-compliant with the pharmacotherapy.

All three experimental studies improved medication adherence. A one-day education program in combination with weekly contacts among participants improved the frequency of ‘missed medication’ from 1.9 to 1.6 (1 never, 5 daily) [18], and the four one-hour group education programs about self-care behaviors improved the medication adherence from 6.3 to 6.5 days a week [19] and from 6.8 to 6.9 [20] days a week. However, all of these improvements resulted to be non-significant.

Risk reduction

Thirteen observational studies and two interventional studies dealt with risk reduction. Participants had various levels of knowledge about general consequences and complications of uncontrolled diabetes. All respondents from Ghana attributed complications to medical non-adherence [23] and most patients from a South African study [22] connected their already developed complications (e.g. foot problems, sexual dysfunction) to uncontrolled diabetes. However, only few participants were aware of the specific complications that could develop: the most frequently named complications were foot ulcers (on average named by 45%) and retinopathy (on average 36%) [42, 46, 50, 54, 55]. Other complications named were neuropathy (31%), sexual dysfunction (26%) [50, 54], or nephropathy (18%) [42, 50, 54]. The prevalence of cigarette smoking, which contributes to developing complications, appeared to be not very present and accounted on average for only 10% of all participants [18, 20, 31,32,33, 36, 43, 50, 54].

Having regular appointments at medical specialists (e.g. eye-doctor or dentist) is an important aspect of risk reduction. 77% of patients in one Nigerian study knew that they should go to the doctor when they have changes in their eyesight [38]. In another study 29% stated that they had previous dilated eye examinations [48]. On average, 80% [36, 38] of participants knew that they should take care of their teeth. No study assessed the frequency of visits at medical specialists.

Proper foot care is also critical for the reduction of risks. Most Nigerian diabetes patients knew that they have to take extra care of their feet [36]. In Zimbabwe only half of one group had been informed about foot care, and only with a limited content [25]. There was also a men-women discrepancy in one Ugandan study: women were better informed on how they should take care of their feet then men [34]. In one South African study all respondents reported that they adhered to the recommended foot care [55]. Two studies looking at group education programs about self-care behaviors, improved the foot care of participants non-significantly from 5.5 to 5.7 days per week [20] and significantly from 4.5 to 5.8 days per week [19].

Psychosocial aspects

Only three observational studies reported about the psychosocial aspects of having diabetes.

One study mentioned that the majority of patients received support from their family [22]. Stress and insufficient sleep due to the diabetes appeared to be below 1% among South African patients [19] and another study revealed a moderate level of emotional distress [40]. However, no study on environmental or other social aspects of living with diabetes was identified.

Alternative medicine

Although not included in the ADA framework (Table 1), alternative medicine was seen as an important component in SSA for self-management: Eleven studies addressed the utilization of alternative medicine by study participants. This shows that the western based model of self-management fails to describe the entire self-management behavior of diabetes patients in SSA. 11% of South African patients sought traditional healers [56] and many respondents from Cameroon stated that they used traditional diagnostic tools, such as tasting their urine for glucose [15]. Herbal medicine was equally valued with biomedical therapy [57] and frequently used [25]. The use of herbal medicines as part of the diabetes treatment was on average 32% [21, 34, 46, 48]. For some participants, it was grounded on their negative feelings and dissatisfaction towards biomedicine [15] or the belief that diabetes is a supernatural problem caused by witchcraft or fate [23, 25, 55]. To others, the willingness to treat diabetes took them to a 'modern' health facility but the willingness to cure diabetes took them to a traditional healer [15, 33, 56].


Main findings and recommendations

This is the first systematic review which analyzes the self-management behavior of people with diabetes in SSA. Studies which analyzed nutritional aspects (n = 20) revealed a moderate level of adherence to recommended diet plans, with adherence rates ranging from 33 to 87% [16, 29,30,31,32,33]. Moreover, patients demonstrated a basic understanding of the right eating habits [16, 19, 22,23,24,25,26], but also revealed several gaps in their knowledge (e.g. regarding the sugar-level of food) [19, 24, 28]. Those which analyzed physical activity aspects of self-management behavior (n = 20) found that most patients were aware of the importance of aerobic exercises [22, 25, 34,35,36,37]. However, adherence rates to exercise plans varied between 29 and 46% [19, 26, 29, 31, 32, 37, 40]. Studies with information on the medication (n = 26) showed that Medication-adherence, measured by the MMAS questionnaire, was on the average 64% [29, 32, 43, 46, 50, 51]. Other studies, which utilized other (non-MMAS) methods confirmed these moderate results [22, 24, 40, 42, 52]. Risk reduction was assessed by 15 studies. Patients connected complications to uncontrolled diabetes, but only few were aware of the specific complications that can be developed [22, 23, 42, 46, 50, 54, 55] and how they can be prevented [25, 34, 36]. There was no study assessing the frequency of visits at medical specialists (such as an eye doctor or dentist) and only one study mentioned that all patients adhered to the recommended foot care [55]. Only three studies reported on psychosocial aspects. They indicated that people with diabetes seem to have a very low emotional distress level [19, 22, 40]. Although not part of the ADA self-management guidlines the use of herbal medicine and traditional healers was frequently mentioned [21, 25, 34, 46, 56,57,58]. Lowest adherence rates were assessed for patient’s ability to self-monitor their blood glucose. On average, only 15% were able to test the blood glucose at home [23, 25, 29, 31, 32, 40,41,42,43,44,45,46,47] – and only very irregularly [19, 21, 45, 47]. Studies which tested DSME programs (n = 6) showed significant improvements for eating and activity habits [16, 18, 19], medication adherence [21] and risk reduction behavior [19]. Improvements were ascertained for the adherence to activity and medication plans [18,19,20] and risk reduction behavior [20], but without significance. Also without any significance, negative effects were shown in only one study for eating and activity behaviors [20].

This review is important because it shows that self-management of diabetes in SSA is insufficient. Particularly, the lack of physical activity, the inappropriate risk reduction knowledge and behavior, and the missing ability to self-monitor blood glucose are a serious threat to good glycemic control. Medication and nutritional adherence appeared to be better but are still sub-optimal. By comparing the results with results from other countries outside SSA, we observe a similar ‘ranking’: The three elements ‘physical activity’, ‘risk reduction’ and ‘SMBG’ are also the most critical parts of self-management outside SSA (adherence rates of 45–54%), while the adherence to medication and nutrition plans is better: outside SSA medication plans are followed by 87% (vs 64% in SSA). And diet plans are followed by 76% outside SSA (vs 72% in SSA) [59].

Second, the review revealed that the (western-based) ADA model of self-management fails to describe all self-care activities in SSA. One third of all patients sought alternative medicine beside of their biomedical therapy (in non-SSA countries this is done by 8% [59]). For many people it is therefore part of the self-management. Future research should focus on the (unknown) ingredients of herbal medicines and their interactions with other taken medicines, such as OHA.

Third, the provision of structured DSME programs in SSA is found to be effective. Most of the measured self-management behaviors, such as the adherence to medication or diet plans, were significantly improved by DSME programs. This supports the existing literature, which has proven that DSME is effective in non-SSA countries [60]. Therefore, we recommend to improve the current distribution of structured context-adapted DSME programs in SSA. Important factors, such as the low access to blood glucometers or the utilization of alternative medicines, need to be considered when conceptualizing these programs. Other factors, which have not been addressed in this review, need to be considered as well, e.g. the shortages of healthcare workers [61] or the lack of medicines [62]. Moreover, the implementation of structured DSME programs could be supported by technology. So called mobile health (mHealth) solutions, which have shown to be effective against non-communicable diseases [63], could be used to guide health professionals through the education process and to follow up with patients.

Last, our results showed that there is only very limited research on psychosocial aspects in SSA. In contrast to all other self-management factors, we identified only three studies on psychosocial aspects (e.g. 21 studies on nutritional behavior or 15 studies about SMBG). Therefore, future research should put a higher emphasis on the assessment of the psychosocial situation, because factors such as stress or the missing support by the family can have a highly negative impact on people with diabetes and are associated with non-adherence to medication regimen and other self-management behaviors [64].


An important limitation of this review is that it combines studies from 10 countries, which are culturally and economically diverse. The generalizability of the results is therefore problematic, because it was not always clear whether the individual study results were representative (see risk of bias assessment, additional files 3-5). The studies also differ in their objective, e.g. while some evaluated DSME programs, others measured the adherence to OHA. However, combining studies from various countries with heterogeneous objectives is not unusual for reviews on diabetes in SSA [65]. Furthermore, methods applied to measure outcome-parameters varied among included studies. One example is the medication adherence: in some studies people where simply asked whether they “missed medication” or “forget sometime” to take their medication, while other studies used the standardized MMAS scale. Moreover, the analysis considers only patients who have been diagnosed with diabetes. It is estimated that around two thirds of all people who suffer from diabetes in SSA remain undiagnosed [3]. Another limitation concerns the method used by all included studies: most of the measured outcomes were self-reported. The use of self-reported measures, such as the medication adherence may underestimate the non-adherence of patients [52]. Multiple methods may be required to detect those who report adherence but who may in fact be non-adherent.


There is a good amount of recent studies on self-management behavior of type 2 diabetes in SSA. These studies indicate that self-management in SSA is poor and a serious threat to glycemic control. Particularly, self-monitoring of blood glucose, physical activity and risk reduction behavior are insufficient. More research on the psychosocial situation is needed. Future efforts and resource investments in public health systems need to strengthen the distribution of strucutred DSME programs which need to be adapted to the SSA-context.



American Diabetes Association


Diabetes Self-Management Education


Morisky Medication Adherence Scale


Non Communicable Diseases


Oral Hypoglycemic Agents


Self-Monitoring of Blood Glucose


Sub Saharan Africa


  1. Curbing N. Noncommunicable diseases in Africa: youth are key to curbing the epidemic and achieving sustainable development. Washington: Population Reference Bureau; 2015.

    Google Scholar 

  2. Beran D, Yudkin JS. Diabetes care in sub-Saharan Africa. Lancet. 2006;368(9548):1689–95.

    Article  Google Scholar 

  3. Cho NH, Kirigia J, Mbanya JC. IDF diabetes atlas - eighth edition 2017. The International Diabetes Federation. 2017.

  4. Shrivastava SR, Shrivastava PS, Ramasamy J. Role of self-care in management of diabetes mellitus. Journal of Diabetes & Metabolic Disorders. 2013;12(1):14.

    Article  Google Scholar 

  5. Haas L, Maryniuk M, Beck J, Cox CE, Duker P, Edwards L, Fisher E, Hanson L, Kent D, Kolb L. National standards for diabetes self-management education and support. The Diabetes Educator. 2012;38(5):619–29.

    Article  Google Scholar 

  6. Dube L, Van den Broucke S, Housiaux M, Dhoore W, Rendall-Mkosi K. Type 2 diabetes self-management education programs in high and low mortality developing countries: a systematic review. The Diabetes Educator. 2015;41(1):69–85.

    Article  Google Scholar 

  7. Rawal LB, Tapp RJ, Williams ED, Chan C, Yasin S, Oldenburg B. Prevention of type 2 diabetes and its complications in developing countries: a review. Int J behavioral Med. 2012;19(2):121–33.

    Article  Google Scholar 

  8. Dube L, Van den Broucke S, Dhoore W, Kalweit K, Housiaux M. An audit of diabetes self-management education programs in South Africa. J Public Health Research. 2015;4(3).

  9. Bank TW. World bank country and lending groups. Washington DC: The World Bank Group; 2017.

    Google Scholar 

  10. Hall V, Thomsen RW, Henriksen O, Lohse N. Diabetes in sub Saharan Africa 1999-2011: epidemiology and public health implications. A systematic review. BMC Public Health. 2011;11(1):564.

    Article  Google Scholar 

  11. Association AD: Living with Diabetes. In.; 2017.

  12. Guyatt GH, Sackett DL, Cook DJ, Guyatt G, Bass E, Brill-Edwards P, Browman G, Cook D, Farkouh M, Gerstein H. Users' guides to the medical literature: II. How to use an article about therapy or prevention a. are the results of the study valid? Jama. 1993;270(21):2598–601.

    Article  CAS  Google Scholar 

  13. Quality Assessment Tool for Before-After (Pre-Post) Studies With No Control Group Accessed 13 Aug 2018.

  14. Reeves BC, Deeks JJ, Higgins J. Including randomized studies. In: Cochrane handbook for systematic reviews of interventions, vol. 1; 2008. p. 391.

    Google Scholar 

  15. Awah PK, Unwin N, Phillimore P. Cure or control: complying with biomedical regime of diabetes in Cameroon. BMC Health Serv Res. 2008;8:43.

    Article  Google Scholar 

  16. Muchiri J, Gericke G, Rheeder P. Subjects' experiences of a nutrition education programme: a qualitative study of adults with type 2 diabetes mellitus living in a rural resource-limited setting in South Africa. S Afr J Clin Nutr. 2016;29(2):83–9.

    Article  Google Scholar 

  17. Muchiri JW, Gericke GJ, Rheeder P. Effect of a nutrition education programme on clinical status and dietary behaviours of adults with type 2 diabetes in a resource-limited setting in South Africa: a randomised controlled trial. Public Health Nutr. 2016;19(1):142–55.

    Article  Google Scholar 

  18. Baumann LC, Frederick N, Betty N, Jospehine E, Agatha N. A demonstration of peer support for Ugandan adults with type 2 diabetes. Int J behavioral Med. 2015;22(3):374–83.

    Article  Google Scholar 

  19. van der Does AM, Mash R. Evaluation of the “take five school”: an education programme for people with type 2 diabetes in the Western cape, South Africa. primary care diabetes. 2013;7(4):289–95.

    Article  Google Scholar 

  20. Mash B, Levitt N, Steyn K, Zwarenstein M, Rollnick S. Effectiveness of a group diabetes education programme in underserved communities in South Africa: pragmatic cluster randomized control trial. BMC Fam Pract. 2012;13:126.

    Article  Google Scholar 

  21. Awodele O, Osuolale JA. Medication adherence in type 2 diabetes patients: study of patients in Alimosho general hospital, Igando, Lagos, Nigeria. Afr Health Sci. 2015;15(2):513–22.

    Article  Google Scholar 

  22. Adeniyi OV, Yogeswaran P, Wright G, Longo-Mbenza B. Diabetic patients' perspectives on the challenges of glycaemic control. African journal of primary health care & family medicine. 2015;7(1):1–8.

    Article  Google Scholar 

  23. de-Graft Aikins A, Awuah RB, Pera TA, Mendez M, Ogedegbe G. Explanatory models of diabetes in urban poor communities in Accra, Ghana. Ethnicity & health. 2015;20(4):391–408.

    Article  Google Scholar 

  24. Adisa R, Alutundu MB, Fakeye TO. Factors contributing to nonadherence to oral hypoglycemic medications among ambulatory type 2 diabetes patients in southwestern Nigeria. Pharm Pract. 2009;7(3):163–9.

    Google Scholar 

  25. Hjelm K, Mufunda E. Zimbabwean diabetics' beliefs about health and illness: an interview study. BMC Int Health Hum Rights. 2010;10(1):7.

    Article  Google Scholar 

  26. Obirikorang Y, Obirikorang C, Odame Anto E, Acheampong E, Dzah N, Akosah CN, Nsenbah EB. Knowledge and lifestyle-associated prevalence of obesity among newly diagnosed type II diabetes mellitus patients attending diabetic Clinic at Komfo Anokye Teaching Hospital, Kumasi, Ghana: a hospital-based cross-sectional study. Journal of diabetes research. 2016;2016:9759241.

    Article  Google Scholar 

  27. Doherty ML, Owusu-Dabo E, Kantanka OS, Brawer RO, Plumb JD. Type 2 diabetes in a rapidly urbanizing region of Ghana, West Africa: a qualitative study of dietary preferences, knowledge and practices. BMC Public Health. 2014;14(1):1069.

    Article  Google Scholar 

  28. Mayega RW, Etajak S, Rutebemberwa E, Tomson G, Kiguli J. Change means sacrificing a good life’: perceptions about severity of type 2 diabetes and preventive lifestyles among people afflicted or at high risk of type 2 diabetes in Iganga Uganda. BMC Public Health. 2014;14(1):864.

    Article  Google Scholar 

  29. Adisa R, Fakeye TO, Fasanmade A. Medication adherence among ambulatory patients with type 2 diabetes in a tertiary healthcare setting in southwestern Nigeria. Pharm Pract. 2011;9(2):72.

    Google Scholar 

  30. Mogre V, Nsoh JA, Wanaba P, Apala P. Demographic factors, weight management behaviours, receipt of healthcare professional's counselling and having knowledge in basic anthropometric measurements associated with underassessment of weight status in overweight and obese type 2 diabetes patients. Obesity research & clinical practice. 2016;10(4):381–9.

    Article  Google Scholar 

  31. Sorato MM, Tesfahun C, Lamessa D. Levels and predictors of adherence to self-care behaviour among adult type 2 diabetics at Arba Minch general hospital, Southern Ethiopia. J Diabetes Metab. 2016;7(6):11.

    Article  Google Scholar 

  32. Kamuhabwa AR, Charles E. Predictors of poor glycemic control in type 2 diabetic patients attending public hospitals in Dar Es Salaam. Drug, Healthcare and Patient Safety. 2014;6:155–65.

    Article  Google Scholar 

  33. Nthangeni G, Steyn NP, Alberts M, Steyn K, Levitt NS, Laubscher R, Bourne L, Dick J, Temple N. Dietary intake and barriers to dietary compliance in black type 2 diabetic patients attending primary health-care services. Public Health Nutr. 2002;5(2):329–38.

    Article  Google Scholar 

  34. Hjelm K, Nambozi G. Beliefs about health and illness: a comparison between Ugandan men and women living with diabetes mellitus. Int Nurs Rev. 2008;55(4):434–41.

    Article  CAS  Google Scholar 

  35. Steyl T, Phillips J. Management of type 2 diabetes mellitus: adherence challenges in environments of low socio-economic status. Afr J Prim Health Care Fam Med. 2014;6(1):E1–7.

    Article  Google Scholar 

  36. Jackson IL, Adibe MO, Okonta MJ, Ukwe CV. Knowledge of self-care among type 2 diabetes patients in two states of Nigeria. Pharm Pract. 2014;12(3).

    Article  Google Scholar 

  37. Awotidebe TO, Adedoyin RA, Afolabi MA, Opiyo R. Knowledge, attitude and practice of exercise for plasma blood glucose control among patients with type-2 diabetes. Diabetes & metabolic syndrome. 2016;10((2 Suppl 1):S1–6.

    Article  Google Scholar 

  38. Adibe MO, Aguwa CN, Ukwe CV. The construct validity of an instrument for measuring type 2 diabetes self-care knowledge in Nigeria. Trop J Pharm Res. 2011;10(5):619–29.

    Google Scholar 

  39. Okonta HI, Ikombele JB, Ogunbanjo GA. Knowledge, attitude and practice regarding lifestyle modification in type 2 diabetic patients. Afr J Prim Health Care Fam Med. 2014;6(1):1–6.

    Article  Google Scholar 

  40. Ogbera A, ADEYEMI-DORO A. Emotional distress is associated with poor self care in type 2 diabetes mellitus. Journal of diabetes. 2011;3(4):348–52.

    Article  Google Scholar 

  41. Nielsen J, Bahendeka SK, Bygbjerg IC, Meyrowitsch DW, Whyte SR. Diabetes treatment as “homework”: consequences for household knowledge and health practices in rural Uganda. Health education & behavior : the official publication of the Society for Public Health Education. 2016;43(1 Suppl):100S–11S.

    Article  Google Scholar 

  42. Wabe NT, Angamo MT, Hussein S. Medication adherence in diabetes mellitus and self management practices among type-2 diabetics in Ethiopia. N Am J Med Sci. 2011;3(9):418–23.

    Article  Google Scholar 

  43. Kassahun A, Gashe F, Mulisa E, Rike WA. Nonadherence and factors affecting adherence of diabetic patients to anti-diabetic medication in Assela general hospital, Oromia region, Ethiopia. J Pharm Bioallied Sci. 2016;8(2):124–9.

    Article  CAS  Google Scholar 

  44. Matheka DM, Kilonzo JM, Munguti CM, Mwangi PW. Pattern, knowledge and practices of HbA1C testing among diabetic patients in a Kenyan tertiary referral hospital. Glob Health. 2013;9:55.

    Article  Google Scholar 

  45. Abdelgadir A, Elbagir A, Eltom A, Berne C. The influence of glucose self-monitoring on glycaemic control in patients with diabetes mellitus in Sudan. Diabetes Res Clin Pract. 2006;74(1):90–4.

    Article  CAS  Google Scholar 

  46. Yusuff KB, Obe O, Joseph BY. Adherence to anti-diabetic drug therapy and self management practices among type-2 diabetics in Nigeria. Pharmacy world & science : PWS. 2008;30(6):876–83.

    Article  Google Scholar 

  47. Iwuala SO, Olamoyegun MA, Sabir AA, Fasanmade OA. The relationship between self-monitoring of blood glucose and glycaemic control among patients attending an urban diabetes clinic in Nigeria. Annals of African medicine. 2015;14(4):182–7.

    Article  Google Scholar 

  48. Ezuruike U, Prieto JM. Assessment of potential herb-drug interactions among Nigerian adults with Type-2 diabetes. Front Pharmacol. 2016;7:248.

    Article  Google Scholar 

  49. Onakpoya OH, Adeoye AO, Kolawole BA. Determinants of previous dilated eye examination among type II diabetics in southwestern Nigeria. European journal of internal medicine. 2010;21(3):176–9.

    Article  Google Scholar 

  50. Bruce SP, Acheampong F, Kretchy I. Adherence to oral anti-diabetic drugs among patients attending a Ghanaian teaching hospital. Pharm Pract. 2015;13(1):533.

    Article  Google Scholar 

  51. Jackson IL, Adibe MO, Okonta MJ, Ukwe CV. Medication adherence in type 2 diabetes patients in Nigeria. Diabetes Technol Ther. 2015;17(6):398–404.

    Article  Google Scholar 

  52. Oyetunde OO, Aina BA, Tayo F. Impact of generic substitution practice on care of diabetic patients. Int J Clin Pharm. 2014;36(3):623–9.

    Article  Google Scholar 

  53. Haque M, Emerson SH, Dennison CR, Navsa M, Levitt NS. Barriers to initiating insulin therapy in patients with type 2 diabetes mellitus in public-sector primary health care centres in Cape Town. South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde. 2005;95(10):798–802.

    CAS  PubMed  Google Scholar 

  54. Obirikorang Y, Obirikorang C, Anto EO, Acheampong E, Batu EN, Stella AD, Constance O, Brenya PK. Knowledge of complications of diabetes mellitus among patients visiting the diabetes clinic at Sampa government hospital, Ghana: a descriptive study. BMC Public Health. 2016;16:637.

    Article  Google Scholar 

  55. Matwa P, Chabeli MM, Muller M, Levitt NS. Experiences and guidelines for footcare practices of patients with diabetes mellitus. Curationis. 2003;26(1):11–21.

    Article  CAS  Google Scholar 

  56. Mendenhall E, Norris SA. Diabetes care among urban women in Soweto, South Africa: a qualitative study. BMC Public Health. 2015;15:1300.

    Article  Google Scholar 

  57. Awah PK, Unwin NC, Phillimore PR. Diabetes mellitus: indigenous naming, indigenous diagnosis and self-management in an African setting: the example from Cameroon. BMC Endocr Disord. 2009;9:5.

    Article  Google Scholar 

  58. Ezuruike U, Prieto JM. Assessment of potential herb-drug interactions among Nigerian adults with Type-2 diabetes. Front Pharmacol. 2016;7.

  59. Nicolucci A, Kovacs Burns K, Holt RI, Comaschi M, Hermanns N, Ishii H, Kokoszka A, Pouwer F, Skovlund S, Stuckey H. Diabetes attitudes, wishes and needs second study (DAWN2™): cross-national benchmarking of diabetes-related psychosocial outcomes for people with diabetes. Diabet Med. 2013;30(7):767–77.

    Article  CAS  Google Scholar 

  60. Brown SA. Interventions to promote diabetes self-management: state of the science. The Diabetes Educator. 1999;25(6_suppl):52–61.

    Article  CAS  Google Scholar 

  61. Naicker S, Plange-Rhule J, Tutt RC, Eastwood JB. Shortage of healthcare workers in developing countries--Africa. Ethnicity & disease. 2009;19(1):60.

    Google Scholar 

  62. Kirigia J, Barry S. Health challenges in Africa and the way forward. In: BioMed Central. 2008.

  63. Stephani V, Opoku D, Quentin W. A systematic review of randomized controlled trials of mHealth interventions against non-communicable diseases in developing countries. BMC Public Health. 2016;16(1):572.

    Article  Google Scholar 

  64. Mayberry LS, Osborn CY. Family support, medication adherence, and glycemic control among adults with type 2 diabetes. Diabetes Care. 2012;35(6):1239–45.

    Article  Google Scholar 

  65. Mbanya JCN, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-saharan africa. Lancet. 2010;375(9733):2254–66.

    Article  Google Scholar 

Download references


The authors thank John Armstrong for helping with the extraction of characteristics of included studies (Table 2) and Prof. Reinhard Busse for providing guidance to the research.


This research received no specific grant from any funding agency in the public, commercial, or non-profit sectors.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article and its Additional files 1, 2, 3, 4, 5.

Author information

Authors and Affiliations



VS conceived the idea, collected data, participated in analysis and drafting of manuscript. DO collected data and participated in analysis. DB participated in analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Victor Stephani.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Search strategy used. (DOCX 12 kb)

Additional file 2:

PRISMA checklist. (DOCX 26 kb)

Additional file 3:

Risk assessment for cross-sectional studies. (DOCX 21 kb)

Additional file 4:

Risk assessment for pre-post studies. (DOCX 14 kb)

Additional file 5:

Risk assessment for RCTs. (DOCX 13 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stephani, V., Opoku, D. & Beran, D. Self-management of diabetes in Sub-Saharan Africa: a systematic review. BMC Public Health 18, 1148 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: