| Literature DB >> 31118591 |
Amer Al-Sahouri1, Joy Merrell1, Sherrill Snelgrove1.
Abstract
Poorly controlled Type-2 diabetes is considered a significant public health problem and associated with adverse outcomes in Jordan. This review focuses on barriers to good glycemic control levels and adherence to diabetes management plan in adults with Type-2 diabetes in Jordan. The aim was to identify the extent of Type-2 diabetes and the influence of knowledge, perceptions and sociocultural factors on adherence to the diabetes management plan. Thirty-two studies were included in the literature review. The high prevalence rate of poorly controlled Type-2 diabetes is associated with many negative consequences among patients in Jordan. Despite the publication of research findings that have shown the importance of adherence to diet, physical activity, medications, monitoring blood glucose and foot care, the level of adherence is still unsatisfactory among patients in Jordan. This review also identified that social, cultural and religious factors influence diabetes management. These factors highlighted the overwhelming influence of socio-cultural factors and lifestyles as determinants of patients' health and health behaviors. For example, the influence of family, friends and culture on herbal use and food preferences that patients make on a daily basis and during social gatherings. A holistic approach incorporating patient-centered care could usefully be incorporated into educational programs to improve the understanding of patients' health and information needs. The importance of factors beyond the individual level in terms of social, cultural, organizational and policy influences such as food habits, religious beliefs and lack of continuity of care were identified as key factors which influence adherence to the diabetes management plan. Recognition of multiple determinants of patients' health among health care professionals may expand the scope of interventions to seek to modify social norms and values and improve patient outcomes.Entities:
Keywords: behaviors; cultural factors; determinants; lifestyle; poorly controlled Type-2 diabetes; preferences
Year: 2019 PMID: 31118591 PMCID: PMC6507072 DOI: 10.2147/PPA.S198828
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Figure 1PRISMA flow diagram showing the selection process of the included studies in the literature review.
| Author/s and date | Sample size and characteristics | Research design and methods of data collection | Main findings |
|---|---|---|---|
| El-Qudah, 2016. | Convenience sampling, 180 females with diabetes | Cross-sectional study. Dietary knowledge was assessed by a self-reported questionnaire. | More than half of patients (56.1%) provided wrong answers for meals recommended for diabetes/day and that should be used with hypoglycemia, food rich in protein, number of snacks (50.6%) and their role (43.1%), drinks permitted with unlimited amounts (61.4%) and suitable time to drink juice (78.1%). |
| Khattab et al, 2010. | Systematic random sample, 917 patients with T2DM. | Cross-sectional study. Sociodemographic data and diabetes self-management behaviours were collected by questionnaire. | 65.1% had HbA1c ≥7% and negative attitude towards diabetes. |
| Al-Khawaldeh et al, 2012. | Convenience sample, 223 patients with T2DM. | Cross-sectional survey. Data were collected by diabetes management self-efficacy scale, and a diabetes self-management behaviours scale | Diet self-efficacy and diet self-management behaviours predicted better glycemic control, whereas insulin use was a predictor for poor glycemic control. |
| Khatib et al, 2006. | Convenience sampling, 988 patients with diabetes. | Cross-sectional survey. The prevalence rate of erectile dysfunction was measured by structured interviews. | The overall prevalence of erectile dysfunction was 62% and 30.3% had severe erectile dysfunction. |
| Al-Bdour et al, 2008. | Convenience sampling, 1961 patients with diabetes. | Cross-sectional survey. Full eye examination, biochemical measurements and medical assessment were used to collect data about risk factors for diabetic retinopathy. | 64.1% (n=1257) were found to have one type of diabetic retinopathy, and there was association between diabetic retinopathy with poorly controlled diabetes and longer duration of disease. |
| Rabiu et al, 2015. | Random selection, 104 patients with diabetes. | Cross-sectional study. | Untreated cataract and diabetic retinopathy were the major causes of blindness, accounting for 46.7% and 33.2% of total blindness cases, respectively. The prevalence of any retinopathy was 48.4%. |
| Bakkar et al, 2017. | Random selection, 237 patients with T2DM. | Cross-sectional study. Awareness and knowledge of diabetes and diabetic | 88.2% were aware that diabetes can affect the eyes and 81% reported that diabetic retinopathy can lead to blindness. |
| Ajlouni et al, 2008. | Random selection, 1121 participants (general population). | Cross-sectional survey. Data were collected by sociodemographic questionnaire, anthropometric and biochemical measurements. | The study findings identified 195 participants who had T2DM, of whom 79 (54%) were poorly controlled cases. |
| Albikawi and Abuadas, 2015. | Convenience sampling, 49 patients with T2DM. | Cross-sectional study. Data about diabetes management behaviours were collected by a self-report questionnaire. | The most frequently performed self-care management behaviours was medication taking followed by foot care, dietary adherence, exercise, and the least performed behaviour was blood glucose testing. |
| Khawaja et al, 2018. | Convenience, 1003 patients with T2DM. | Cross-sectional study. | The overall prevalence of diabetic neuropathy was 39.5%, The most frequently reported symptoms were numbness (32.3%) and pain with walking (29.7%), while the least reported symptoms were the history of amputation |
| Ali et al, 2008. | Random selection, 613 female patients with diabetes and 524 women without diabetes | Cross-sectional study. sexual dysfunction was measured by The Female Sexual Function Index questionnaire | Prevalence of sexual dysfunction in diabetic women was 59.6% vs 45.6% in nondiabetic women. |
| Yasein and Masa’d, 2011. | Random selection, 730 Patients with chronic conditions including T2DM. | Cross-sectional study. Data were collected by sociodemographic questionnaire, anthropometric (weight, height, hip, BP and waist circumferences) and biochemical (fasting blood glucose and lipid profile) measurements. | The prevalence of metabolic syndrome was 37.4% (31.7% in men; 41.0% in women). The prevalence increased with age in the total sample and in both sexes. High waist circumference showed the highest prevalence in the total sample (61.6%). Among females it ranked as the first criterion (73.5%). High serum triglyceride level showed the highest prevalence in males (50.2%). |
| Al-Amer et al, 2008. | Random selection, 1000 patients with T2DM | Cross-sectional study. Prevalence and risk factors of diabetic retinopathy were assessed by eye examination. | The prevalence of diabetic retinopathy in patients was |
| Al-Amer et al, 2011. | Systematic random sampling, 649 patients with diabetes. | Cross sectional study. Prevalence of undiagnosed depression and the relationship between depression and blood sugar control were collected by a structured questionnaire. | 128 (19.7) have depression, females are more likely to develop depression than males. 64.7% of participants did not follow the diabetic diet and 70.9% of the participants were poorly controlled |
| Al Omari et al, 2009. | Convenience sampling, 337 patients with T2DM. | Cross sectional study. The data were collected by reviewing the patients’ medical records | 56.1% had HbA1c <7%. The mean HbA1c was 7.1%. Half of the patients achieved the target levels of total cholesterol, triglycerides and HDL. |
| Bawadi et al., 2013. | Convenience sampling, 750 patients with T2DM | Cross-sectional survey. Dietary profile of participants was assessed by a semi-quantitative food frequency questionnaire (FFQ). | Patients reported high intakes of fruits and grains, enough intakes of vegetables and low intakes of milk, meat and beans. Daily caloric consumption was 65% from carbohydrates, 13% protein, and 29% fat (distributed as 8% from saturated fat, 14% from monounsaturated fat, and 3.5% from polyunsaturated fat). |
| Al-Sarihin et al, 2012. | Convenience sample, 100 patients with diabetes. | Cross-sectional study. Data were collected by using Fitzgerald’s (1998) questionnaire to assess general diabetes knowledge and insulin knowledge. | The overall scores of the total sample were low; Total knowledge was (49.8±13.4); General Diabetes Knowledge was (54±14) and Insulin Knowledge was (43±19.6). Men scored higher than women in the total Knowledge (52.9 vs 46.7); General Diabetes Knowledge (56.8 vs 51.1); and Insulin Knowledge (46.9 vs 39.8). Moreover, there were no differences found between patients with type 1 and type 2 Diabetes in study group. |
| Barghouti et al, 2015. | Random selection, 3196 (General population). | Cross-sectional study. Knowledge and practice of leisure-time physical activity were assessed by a questionnaire. | 12.5% were physically active, and 55.9% of the participants recognised the recommended physical activity guidelines in Jordan. |
| Darawad et al, 2016. | Convenience, 115 patients with diabetes. | Cross-sectional survey. Exercise behaviours were measured by patients’ self-reported questionnaires. | An average number of 3.2 physical activities per week (average of 2.9 hrs), with walking being the most common activity. Lack of desire, time, having diabetes were reasons for not exercising. |
| Al Jamal and Ibrahim, 2011. | Random selection, 45 patients with T2DM and 15 healthy participants. | Pre/post randomised trial. Data about the changes produced in the lipid profile after consumption olive oil were collected by asking participants to consume 30 ml of olive oil per day | Four weeks of consumption of olive oil lowered the levels of fasting blood glucose, triglycerides, total cholesterol, and low density lipoproteins in both groups. Reduction was more profound in diabetics than in healthy controls. |
| Jammal et al, 2013. | Random selection, 127 patients with T2DM. | Cross-sectional study. Data were collected by complete ocular examinations | Prevalence of diabetic retinopathy of 7.9%. |
| Abdel-Aal et al, 2008. | Convenience sampling, 702 patients with T2DM. | Cross-sectional study. Data were collected by reviewing medical records. | 90% of a sample of 702 patients with T2DM had one or more types of dyslipidaemia in Jordan. |
| Jarab et al, 2018. | Purposive sampling, 36 patients with T2DM. | Qualitative study. Focus group method was used to collect data about patients’ perspective and experiences regarding T2DM. | Medication regimen characteristics including rout of administration, number of prescribed medications and dosage frequency in addition to perceived side effects represented the major barriers to medication adherence. |
| Awwad et al, 2015. | Convenience sampling, 902 patients with chronic conditions including T2DM. | Cross-sectional survey. Adherence to medicines using Morisky Medication Adherence | Most of the participants had low adherence. High income and higher education were associated with higher adherence scores. |
| Basheti et al, 2016. | Random selection, 167 patients with chronic conditions. | Cross-sectional survey. Adherence to medications was assessed Morisky Medication Adherence | 46.1% of participants were non adherent. |
| Al-Keilani et al, 2017. | Convenience sampling, 1079 patients with diabetes. | Cross-sectional survey. Self-monitoring of blood glucose (SMBG) adherence was measured by questionnaire. | 59% of participants were SMBG adherent. |
| Salayta and Aleyadeh, 2010. | Convenience sampling, 60 patients with diabetes. | Longitudinal cohort, prospective. Following up 60 patients with a diabetic foot infection to identify the progression of diabetic foot infection | Ten patients out of 60 (17%) had below knee amputation after failure of local foot debridement. |
| Bakri et al, 2012. | Random selection, 1000 patients with diabetes. | Cross-sectional survey. Data about the prevalence of diabetic foot ulcers were collected by reviewing the medical records, interviewing, and examining the patients. | Diabetic foot ulcer prevalence was 4.6%, sensory neuropathy 14.9%, lower limb ischemia 7.5%, and amputation 1.7%. |
| Al-Sahouri et al, 2019. | Purposeful sampling, 38 patients with T2DM. | Qualitative study. Attitudes, perceptions and knowledge of patients were explored by a focus group method. | Patients reported the different ways in which they were diagnosed with Type 2 diabetes. Stress and family history were perceived as causes of developing diabetes and reasons for poorly controlled diabetes. Patients’ responses also showed a poor understanding of the basic knowledge of diabetes. |
| Abu-Qamar and Wilson, 2011. | Purposeful sampling, 7 patients with diabetes. | Qualitative. Patient’s views of diabetic foot care within the Jordanian healthcare system were collected by unstructured interviews. | Participants were not practising preventive foot care behaviours. Participants believed that the presence of diabetes does not necessitate the need for regular foot examination when there are no active ulcers on their feet. |
| Wazaify et al, 2013. | Random selection, 700 patients with chronic conditions including T2DM. | Cross sectional study. The prevalence of herbal medicine use was explored by a semi-structured questionnaire. | 7.6% of a sample reported using herbs. Most of complementary and alternative medicine users were older than 50 years of age and predominantly female. |
| Wazaify et al, 2011. | Random selection, 1000 patients with diabetes. | Cross sectional study. Data about prevalence, type, frequency, purpose and pattern of herbal preparation were collected by a semi-structured questionnaire. | 16.6% (n=166)of a sample of 1000 patients with diabetes, were users of herbal remedies in Jordan and green tea was the most popular herb used by participants. |
The English, local and scientific names of herbs that were used by patients with diabetes in Jordan.70,71
| English name | Local name | Scientific name |
|---|---|---|
| Cinnamon | Kerfah | |
| Fenugreek | Helba | |
| Garlic | Thoom | |
| Germander | Geádah | |
| Ginger | Zanjabeel | |
| Okra | Bamia | |
| Olive leaves | Waraq Zaytoon | |
| White lupine | Termos |