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. 2013 Dec 21;3(4):259–264. doi: 10.5588/pha.13.0083

Diabetes mellitus and treatment outcomes in Palestine refugees in UNRWA primary health care clinics in Jordan

A Khader 1, G Ballout 1, Y Shahin 1, M Hababeh 1, L Farajallah 1, W Zeidan 1, I Abu-Zayed 2, A Kochi 3, A D Harries 4,5,, R Zachariah 6, A Kapur 7, I Shaikh 1, A Seita 1
PMCID: PMC4463155  PMID: 26393043

Abstract

Setting:

Six primary health care clinics in Jordan, serving Palestine refugees diagnosed with diabetes mellitus (DM).

Objectives:

To report on the number and characteristics of new DM patients registered in the second quarter of 2013 and of all DM patients ever registered by 30 June 2013, with treatment outcomes and cumulative burden of late-stage complications.

Design:

A descriptive cohort study using routine data collected through e-Health.

Results:

Of the 288 new patients in Q2 2013 and 12 548 patients ever registered with DM by 30 June 2013, smoking, physical inactivity and obesity were recorded in 19%, 50% and 47%, respectively. In Q2 2013, 9740 (78%) patients attended a clinic, with >99% having undergone disease control measures: of these, 72% had postprandial blood glucose ⩽ 180 mg/dl, 71% had blood cholesterol < 200 mg/dl, 82% had blood pressure < 140/90 and 40% had body mass index < 30 kg/m2. Late-stage complications were present in 1130 (11.6%) patients who attended a clinic, with cardiovascular disease and stroke being the most common. Several differences in outcomes were found between males and females.

Conclusion:

There is a high burden of disease due to DM at primary health care clinics in Jordan. Cohort analysis using e-Health is a vital way to assess management and follow-up.

Keywords: diabetes mellitus, Palestine refugees, Jordan, cohort reports, e-Health


The United Nations Relief and Works Agency for Palestine Refugees (UNRWA) has been working in the Near East for 62 years, and provides education, health and social services for over 5 million Palestine refugees in Jordan, Lebanon, Syria, the West Bank and the Gaza Strip. Diabetes mellitus (DM) is a major problem among the population it serves. Registered numbers of patients with DM have increased from almost 73 000 in 2005 to 115 000 in 2011, and the current prevalence of DM among persons aged ⩾40 years attending UNRWA health facilities is 11.0%.1

In 2012, we reported on the value of cohort analysis and the use of real-time electronic medical record systems at the point of care (e-Health) for monitoring incidence, prevalence and treatment outcomes of Palestine refugees with DM in Nuzha Primary Health Care (PHC) Clinic, Amman, Jordan.2 The system also allowed a quarterly assessment of clinic performance to be undertaken, and deficiencies were noted in the proportion of patients recorded as having routine measurements of blood glucose, blood pressure, foot examinations and eye care.2 Following the report, a decision was made to improve the practice and recording of routine clinic measurements and to expand the use of cohort analysis to other PHC clinics that already had e-Health.

The aim of the present study was to use the principle of cohort analysis to report on the burden of DM and treatment outcomes of patients with DM registered at six PHC clinics in Jordan. Specific objectives were to report on 1) the number and characteristics of new patients with DM registered in the second quarter (Q2) of 2013 and of all patients with DM ever registered up to the end of June 2013; and 2) the treatment outcomes of patients ever registered up to the end of June 2013, along with measures of disease control and cumulative burden of disease-related complications, stratified by sex.

METHODS

Study design

This was a descriptive study of a quarterly and cumulative cohort of patients monitored using an e-Health record system.

Setting

The study was conducted in six PHC clinics in Jordan, a country of 6 million inhabitants that also houses 2 million registered Palestine refugees, of whom 17% live in 10 official camps. UNRWA has 24 PHC clinics in Jordan, and in 2012 served a population of 1 175 021 refugees. The six PHC clinics (Nuzha, Taybeh, Marka, South Baqaa, Baqaa and Suf) situated in or near Amman, the capital city, served 302 539 (26%) refugees in 2012. Each clinic is staffed by up to four doctors and a variable number of nurses; all services are provided free of charge.

Persons with diabetes mellitus and their management

Palestine refugees who attend the clinic are screened annually for DM and 6-monthly for hypertension if they are aged ⩾40 years, at risk of non-communicable diseases (NCDs) or are pre-conception or pregnant women. DM screening is performed by measuring random blood glucose on attendance at the clinic; if it is ⩾126 mg/dl (⩾7.0 mmol/l), then two fasting blood glucose (FBG) measurements are performed within a week, both of which must be ⩾126 mg/dl for diagnostic confirmation of DM.3,4 Those with FBG between 100 and 125 mg/dl (6.0–6.9 mmol/l) are further screened for DM using an oral glucose tolerance test.5

Persons diagnosed with DM are assessed at baseline and annually for additional risk factors for NCDs, late-stage complications and comorbidities such as hypertension, and these along with other patient data are recorded in the e-Health system (see below). Patients are categorised into three main groups: DM type 1, DM type 2 and DM and hypertension, and further classified as new or previously diagnosed.

Patients are managed according to a standard algorithm with diet and lifestyle advice, oral hypoglycaemic drugs (glibenclamide, gliclizide and metformin) and insulin, and are assessed as having controlled or uncontrolled DM, based on monthly or quarterly measurements of 2-h postprandial blood glucose (PPBG). Patients with uncontrolled DM (PPBG > 180 mg/dl) are seen weekly or monthly until their 2-h PPBG declines below the threshold. The follow-up schedule for patients with controlled DM is a clinic visit every 3 months, during which assessments are made of body mass index (BMI), blood pressure, urine for glucose and albumin, measurement of 2-h PPBG and the presence/absence of late complications (blindness, end-stage renal failure [defined as serum creatinine persistently ⩾2.0 mg/dl], myocardial infarction, congestive cardiac failure, stroke and above-ankle amputation). Once a year, all DM patients undergo foot assessments, an ophthalmologist referral and blood tests for total cholesterol and serum creatinine.

Electronic Health System at Nuzha Primary Health Care clinic

The Electronic Health System (e-Health) was set up in 2009 in Nuzha PHC Clinic and piloted for 6 months. The system was then adopted and has been further expanded to other PHC centres. E-Health is currently operational in six UNRWA clinics in Jordan and has been described elsewhere.2 In brief, clinicians and nurses use password-protected computers that are available in every work station to enter patient information during clinical encounters at the point of care. Patients have a health card and identification number, and these are used to trace the patients’ electronic data files at the clinic visits. All computers are connected to a central server where the data are stored.

All DM patients at Nuzha PHC clinic seen since October 2009 have their data entered in e-Health. In the other five clinics, all DM patients seen since mid-2011 have their data entered in e-Health. For patients who died, were lost to follow-up or transferred out before these dates, no data have been entered.

Patient population

All patients with DM who were registered and entered into the e-Health system from October 2009 in Nuzha PHC clinic and from mid-2011 in the other five clinics, up to 30 June 2013, were included in the study.

Sources of data, variables, cohort reporting formats and analysis

Patient data were obtained from the clinic e-Health systems. Variables included age, sex, category of DM, new or previously known diagnosis of DM, smoking status, physical activity, BMI, and, as of 30 June 2013, treatment outcome, measures of disease control and presence or absence of late-stage complications recorded in Q2 2013. The definitions of variables are shown in Table 1.

TABLE 1.

Definitions for the management and recording of patients with diabetes mellitus at six primary health care clinics in Jordan

Quarterly and cumulative registrations
 New diagnosis Date of registration within 4 weeks of date of diagnosis
 Previous diagnosis Date of registration 4 weeks or later from date of diagnosis
 Transferred in Previously registered in another UNRWA clinic and now transferred to the current clinic
 Smoker Currently smoking cigarettes from one cigarette per week upwards
 Physical inactivity Less than 20 min of exercise three times per week
 Obesity Body mass index ⩾30 kg/m2
 Hypertension Blood pressure ⩾140/90 mmHg on two or more occasions in 1 week
Cumulative treatment outcomes
 Attended the clinic in Q2 2013 Seen by a doctor or nurse in the clinic during Q2 2013
 Did not attend the clinic in Q2 2013 Not seen by a doctor or nurse in the clinic during Q2 2013
 Dead Died at any time from any cause
 Transferred out Permanently transferred out from the clinic to another clinic
 Lost to follow-up No clinic attendance in the last 12 months

UNRWA = United Nations Relief and Works Agency for Palestine Refugees in the Near East.

For the study, the cohorts included new patients registered between 1 April and 30 June 2013 (the quarterly cohort) and all patients ever registered up to 30 June 2013 (the cumulative cohort), with treatment outcomes of the cumulative cohort censored in Q2 up to 30 June 2013. Risk factors, treatment outcomes and late-stage complications were compared between males and females using the ⎟2 test, with odds ratios and 95% confidence intervals. Levels of significance were set at 5%.

Ethics approval

Approval for the study was obtained from the UNRWA Headquarters, Jordan, and as this was regarded as a routine programme audit, no local ethics approval was required. Ethics approval for the publication of the study was obtained from the Ethics Advisory Group of the International Union Against Tuberculosis and Lung Disease, Paris, France.

RESULTS

The number and characteristics of the 288 new patients with DM registered in the Q2 2013 are shown in Table 2. The majority were females, and nearly 90% were aged ⩾40 years; type 2 DM accounted for 98% of all patients, with 60% of these having associated hypertension. There was an almost equal division of new and previously known DM, and transfer-ins were low, at 2%.

TABLE 2.

Number and characteristics of patients registered with DM at six PHC clinics for Q2, April–June 2013 (quarterly cohort registration), Jordan

Patient characteristic Nuzha PHC Clinic n Taybeh PHC Clinic n Marka PHC Clinic n South Baqaa PHC Clinic n Baqaa PHC Clinic n Suf PHC Clinic n All clinics n (%)
Newly registered with DM 76 50 49 40 62 11 288
 Male 40 21 22 18 22 5 128 (44)
 Female 36 29 27 22 40 6 160 (56)
Age group at registration, years
 <20 1 0 1 0 1 0 3 (1)
 20–39 8 3 6 4 7 0 28 (10)
 40–59 45 28 32 27 37 5 174 (60)
 ⩾60 22 19 10 9 17 6 83 (29)
Disease category
 DM type 1 2 1 1 1 1 0 6 (2)
 DM type 2 24 17 19 20 32 4 116 (40)
 DM type 2 with hypertension 50 32 29 19 29 7 166 (58)
Type of patient
 New diagnosis 29 21 26 27 41 7 151 (52)
 Previously known diagnosis 47 29 23 13 21 4 137 (48)
 Transferred in 0 5 0 0 0 1 6 (2)

DM = diabetes mellitus; PHC = primary health care.

The number and characteristics of the 12 548 patients with DM ever registered up to the end of June 2013 are shown in Table 3. Characteristics were similar to those observed for new registrations, except that a higher proportion of patients had associated hypertension, which, among those with type 2 DM, was just over 75%. Additional risk factors identified at the time of registration are shown in Table 4. Nearly 20% of the DM patients were current smokers and 50% were physically inactive, with a significantly higher prevalence of both risk factors in males than females. Nearly 60% of the DM patients were obese, with a significantly higher prevalence in females.

TABLE 3.

Number and characteristics of patients ever registered with DM at six PHC clinics up to 30 June 2013 (cumulative cohort registration), Jordan

Patient characteristic Nuzha PHC Clinic n Taybeh PHC Clinic n Marka PHC Clinic n South Baqaa PHC Clinic n Baqaa PHC Clinic n Suf PHC Clinic n All clinics n (%)
Newly registered with DM 3273 1738 2263 1798 2880 598 12 550
 Male 1515 693 936 757 1045* 237 5 183 (41)
 Female 1758 1045 1327* 1041 1835 361 7 367 (59)
Age group at registration, years
 <20 55 32 49 41 49 12 238 (2)
 20–39 293 204 307 242 325 91 1 462 (12)
 40–59 1912 1037 1386 1103 1743 366 7 547 (60)
 ⩾60 1013 465 521 412 763 129 3 303 (26)
Disease category
 DM type 1 84 54 67 67 61 19 352 (3)
 DM type 2 658 429 628 524 782 133 3 154 (25)
 DM type 2 with hypertension 2531 1255 1568 1207 2037 446 9 044 (72)
Type of patient
 New diagnosis 1028 669 1198 957 1951 493 6 296 (50)
 Previously known diagnosis 2245 1069 1065 841 929 105 6 254 (50)
 Transferred in 128 83 27 16 19 3 276 (2)

DM = diabetes mellitus; PHC = primary health care.

TABLE 4.

Additional risk factors recorded at the time of registration in all patients registered with DM at six primary health care clinics, Jordan

Additional risk factor All patients n (%) Males n (%) Females n (%) OR (95%CI)* P value
All patients registered with DM 12 550 5183 7367
Current smokers 2 394 (19) 1869 (36) 525 (7) 7.4 (6.6–8.2) <0.001
Physical inactivity 6 265 (50) 3013 (58) 3252 (44) 1.8 (1.6–1.9) <0.001
Obesity (body mass index ⩾30 kg/m2) 7 347 (59) 2250 (43) 5097 (69) 0.34 (0.32–0.37) <0.001
*

OR when males are compared with females, with 95%CI and P value when significant.

DM = diabetes mellitus; OR = odds ratio; CI = confidence interval.

Treatment outcomes and measures of disease control in patients ever registered up to the end of June 2013 are shown in Table 5. The majority (78%) of the patients attended the clinic during the period April to June 2013, with less than 5% having died, been lost to follow-up or transferred out. A sizeable proportion of patients (17%) failed to attend the clinic during the quarter. In males, there was significantly reduced clinic attendance in the quarter, and this was associated with significantly increased non-attendance in the quarter and an increase in death and transfer out. Of those who attended the clinic, ⩾99% had appropriate measurements performed. Of these, 72% had postprandial blood glucose ⩽ 180 mg/dl, 71% had blood cholesterol < 200 mg/dl, 82% had blood pressure < 140/90, but 60% were obese, with BMI ⩾ 30 kg/m2. While the proportion of males and females with blood glucose ⩽ 180 mg/dl was similar, there were gender differences in the other parameters (Table 5).

TABLE 5.

Cumulative cohort treatment outcomes and measures of disease control in patients with DM ever registered at six primary health care clinics, Jordan, up to 30 June 2013

Treatment outcome All patients n (%) Males n (%) Females n (%) OR (95%CI)* P value
All DM patients ever registered up to 30 June 2013 12 550 5183 7367
Principal outcome on 30 June 2013
 Attended the clinic in Q2 2013 9 741 (78) 3828 (73.9) 5913 (80.2) 0.7 (0.6–0.8) <0.001
 Did not attend the clinic in Q2 2013 2 181 (17) 1033 (20.0) 1148 (15.6) 1.4 (1.3–1.5) <0.001
 Dead 435 (3.5) 222 (4.3) 213 (2.9) 1.5 (1.3–1.8) <0.001
 Transferred out 168 (1.4) 92 (1.8) 76 (1.0) 1.7 (1.3–2.4) <0.001
 Lost to follow-up 25 (<1) 8 (<1) 17 (0.3) 0.7 (0.3–1.6)
Of those who attended the clinic in Q2 2013 9 741 3828 5913
 PPBG measured 9 691 (99) 3789 (99) 5902 (99) 1.1 (0.9–1.1)
 PPBG ⩽180 mg/dl 6 278 (65) 2483 (66) 3837 (65)
 Blood cholesterol measured 9 724 (99) 3817 (99) 5907 (99) 1.7 (1.6–1.9) <0.001
 Blood cholesterol <200 mg/dl 6 174 (63) 2715 (71) 3459 (58)
 Blood pressure measured 9 736 (99) 3824 (99) 5912 (99) 0.8 (0.7–0.9) <0.001
 Blood pressure <140/90 8 469 (87) 3274 (86) 5195 (88)
 BMI measured 9 741 (100) 3828 (100) 5913 (100) 2.9 (2.7–3.1)
 Non-obese (BMI <30 kg/m2) 3 854 (40) 2102 (55) 1752 (30) <0.001
*

OR when males are compared with females, with 95%CI and P value when significant.

DM = diabetes mellitus; OR = odds ratio; CI = confidence interval; PPBG = postprandial blood glucose; BMI = body mass index.

The cumulative burden of late-stage complications is shown in Table 6. Almost 12% of the patients had one or more late complications of disease, with cardiovascular disease and stroke being the most common. Complications, particularly myocardial infarction and end-stage renal disease, were significantly more common in males.

TABLE 6.

Cumulative complications in patients with DM ever registered at six primary health care clinics, Jordan, up to 30 June 2013

Complications of DM All patients n (%) Males n (%) Females n (%) OR (95%CI)* P value
Attended the clinic in Q2 2013 9741 3828 5913
One or more late complications 1130 (11.6) 559 (14.6) 571 (9.7) 1.6 (1.4–1.8) <0.001
Myocardial infarction 446 (4.6) 277 (7.2) 169 (2.9) 2.6 (2.2–3.2) <0.001
Congestive cardiac failure 422 (4.3) 162 (4.2) 260 (4.4) 0.96 (0.8–1.2)
Stroke 319 (3.3) 149 (3.9) 200 (3.4) 1.2 (0.9–1.4)
Blindness 48 (0.5) 22 (0.6) 26 (0.4) 1.3 (0.7–2.3)
End-stage renal disease 26 (0.3) 17 (0.4) 9 (0.15) 2.9 (1.3–6.6) <0.01
Above-ankle amputation 22 (0.25) 9 (0.24) 13 (0.22) 1.1 (0.5–2.5)
*

OR when males are compared with females, with 95%CI and P value when significant.

DM = diabetes mellitus; OR = odds ratio; CI = confidence interval.

DISCUSSION

This report from six UNRWA PHC clinics in Jordan, using cohort analysis and e-Health, shows the quarterly and cumulative burden of DM. Altogether, over 12 000 patients with DM were registered; as nearly 300 new patients were registered in Q2 2013, the predicted additional caseload each year is over 1000 patients. This is valuable information for the clinics, as it enables them to plan accurately for an ever increasing burden of patients in terms of logistics, laboratory reagents, drugs and staffing levels. About half of the patients were newly diagnosed, confirming the importance of regular annual screening for DM carried out at UNRWA clinics. Furthermore, as a large proportion of patients with DM had associated hypertension, this needs to be screened for routinely at the same time, and attention should be paid to the management of both diseases in the same person.

It was of concern to see the high proportion of patients with additional risk factors for NCDs such as cigarette smoking, physical inactivity and obesity, with over one third of males being smokers, 60% of males being physically inactive and 70% of females being obese. There are ways to help people to quit smoking,510 or to improve physical activity and reduce obesity,1114 and considerations are needed about introducing these at UNRWA clinics along with appropriate sex specificity and annual monitoring.

It was encouraging to see that nearly 80% of patients who were ever registered in the clinics attended in Q2 2013 for follow-up, although the results were better for females than males. Less than 5% of patients had died, been lost to follow-up or transferred out, suggesting an overall good patient management and tracking system.15 We have previously discussed the need for a more proactive approach to getting patients to attend clinic on a quarterly basis, which includes the use of mobile phones.2,16 This has yet to be done on a routine basis either in Jordan or, as far as we know, elsewhere in diabetes clinics, but it might help in reducing the proportion of patients, particularly males, who fail to attend their quarterly scheduled visit. Of those who attended the clinic in Q2 2013, it was also encouraging to see that in almost all patients, males and females, specific measurements of disease control were performed, and this was a significant improvement in what was recorded in Nuzha PHC the year before. Although just over 70% of patients achieved a blood glucose or total cholesterol below the established threshold, about 30% had blood glucose or cholesterol levels that were too high and needed more aggressive treatment.

Finally, just over one in 10 patients had developed late-stage complications, with cardiovascular disease and stroke being the most common. Males were more affected than females, likely due to a higher prevalence of additional risk factors. With over 40 000 patients with DM in UNRWA clinics in Jordan and over 120 000 in UNRWA clinics in the region (Jordan, Syria, Lebanon, Gaza Strip and the West Bank),17 this extrapolates to a large number of patients with chronic disability needing long-term additional medical and community care; how well this happens requires further operational study.

The strengths of this study are the large number of patients registered for care, which from the six clinics constitutes over one quarter of UNRWA’s DM patients in Jordan. The findings are therefore probably representative of the situation in the country. Although when e-Health was first used for cohort analysis in 2012, the issue of incomplete recording practices was raised,2 1 year later the e-Health systems were in good working order, with data that were clean and ready for immediate use. The study also followed STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines for the reporting of observational data.18 Study limitations are mainly related to the use of already collected data, which may be wrongly entered or inaccurate. Patients who transfer in or out risk being counted twice; however, in both quarterly and cumulative cohort analyses these numbers were small and unlikely to impact on the overall findings.

The implications of the study are clear. First, it endorses the use of e-Health and cohort analysis for monitoring and managing patients with DM and hypertension, and adds to the growing body of literature supporting the use of this method in Jordan and other countries for NCDs.19,20 Second, e-Health also enforces adherence to UNRWA technical guidelines, as it is impossible to move from the current to the next screening page without completing the requested assignments, and we feel that this is partly responsible for the excellent performance of disease control measurements seen in Q2 2013. Nevertheless, it needs to be asked whether PPBG is the best monitoring method or whether this could be replaced by glycated haemoglobin, which is more convenient and reliable as a measure of diabetes control, although more costly.21 Third, the best ways of reducing the quarterly clinic attendance failures need to be determined and implemented. Finally, further operational research into how patients with complications and disability are faring in the community is needed.

In conclusion, this study shows the high burden of disease from DM at PHC clinics in Jordan and endorses the use of cohort analysis through e-Health. Patient management and follow-up were satisfactory, but more needs to be done to ensure better quarterly clinic attendance.

Acknowledgments

The authors thank all United Nations Relief and Works Agency staff at the six primary health care clinics (Nuzha, Taybeh, Marka, South Baqaa, Baqaa and Suf) for their support in managing and monitoring patients.

Conflict of interest: none declared.

References

  • 1.United Nations Relief and Works Agency for Palestine Refugees in the Near East . UNRWA Health Department annual report 2012. Amman, Jordan: UNRWA; 2013. [Google Scholar]
  • 2.Khader A, Farajallah L, Shahin Y, et al. Cohort monitoring of persons with diabetes mellitus in a primary healthcare clinic for Palestine refugees in Jordan. Trop Med Int Health. 2012;17:1569–1576. doi: 10.1111/j.1365-3156.2012.03097.x. [DOI] [PubMed] [Google Scholar]
  • 3.United Nations Relief and Works Agency Health Department . Technical Instruction Series: HD/DC/01/1997. Revision no. 4. Amman, Jordan: UNRWA; 2009. Technical instructions and management protocols on prevention and control of non-communicable diseases. [Google Scholar]
  • 4.World Health Organization . Summary of Technical Report and Recommendations. Geneva, Switzerland: WHO; 2006. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia. [Google Scholar]
  • 5.Lancaster T, Stead L F. Individual behavioural counselling for smoking cessation. Cochrane Database Syst Rev. 2005 doi: 10.1002/14651858.CD001292.pub2. (2): CD001292. [DOI] [PubMed] [Google Scholar]
  • 6.Marti J. Successful smoking cessation and duration of abstinence—an analysis of socioeconomic determinants. Int J Environ Res Public Health. 2010;7:2789–2799. doi: 10.3390/ijerph7072789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Borland R, Li L, Driezen P, Wilson N, et al. Cessation assistance reported by smokers in 15 countries participating in the International Tobacco Control (ITC) policy evaluation surveys. Addiction. 2011;107:197–205. doi: 10.1111/j.1360-0443.2011.03636.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mardle T, Merret S, Wright J, Percival F, Lockhart I. Real world evaluation of three models of NHS smoking cessation service in England. BMC Res Notes. 2012;5:9. doi: 10.1186/1756-0500-5-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Kaleta D, Korytkowski P, Makowiec-Da˛browska T, Usidame B, Ba˛k-Romaniszyn L, Fronczak A. Predictors of long-term smoking cessation: results from the global adult tobacco survey in Poland. BMC Public Health. 2009–2010;2012(12):1020. doi: 10.1186/1471-2458-12-1020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Srivastava S, Malhotra S, Harries A D, Lal P, Arora M. Correlates of tobacco quit attempts and cessation in the adult population of India: secondary analysis of the Global Adult Tobacco Survey, 2009–10. BMC Public Health. 2013;13:263. doi: 10.1186/1471-2458-13-263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Appel L J, Clark J M, Yeh H C, et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Eng J Med. 2011;365:1959–1968. doi: 10.1056/NEJMoa1108660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Villareal D T, Chose S, Parimi N, et al. Weight loss, exercise, or both and physical function in obese older adults. N Eng J Med. 2011;364:1218–1229. doi: 10.1056/NEJMoa1008234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Snel M, Sleddering M A, Vd Peijl I D, et al. Quality of life in type 2 diabetes mellitus after a very low calorie diet and exercise. Eur J Intern Med. 2012;23:143–149. doi: 10.1016/j.ejim.2011.07.004. [DOI] [PubMed] [Google Scholar]
  • 14.Yanovski S Z. Obesity treatment in primary care—are we there yet? N Eng J Med. 2011;365:2030–2031. doi: 10.1056/NEJMe1111487. [DOI] [PubMed] [Google Scholar]
  • 15.Harries A D, Zachariah R, Kapur A, Jahn A, Enarson D A. The vital signs of chronic disease management. Trans R Soc Trop Med Hyg. 2009;103:537–540. doi: 10.1016/j.trstmh.2008.12.008. [DOI] [PubMed] [Google Scholar]
  • 16.Lester R T, Ritvo P, Mills E J, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTelKenya1): a randomised trial. Lancet. 2010;376:1838–1845. doi: 10.1016/S0140-6736(10)61997-6. [DOI] [PubMed] [Google Scholar]
  • 17.United Nations Relief and Works Agency for Palestine Refugees in the Near East . Annual report 2011. Amman, Jordan: UNRWA Health Department; 2012. [Google Scholar]
  • 18.von Elm E, Altman D G, Egger M, Pocock S J, Gotzsche P C, Vandenbroucke J P. STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Bull World Health Organ. 2007;85:867–872. doi: 10.2471/BLT.07.045120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Allain T J, van Oosterhout J J, Douglas G P, et al. Applying lessons learnt from the ‘DOTS’ tuberculosis model to monitoring and evaluating persons with diabetes mellitus in Blantyre, Malawi. Trop Med Int Health. 2011;16:1077–1084. doi: 10.1111/j.1365-3156.2011.02808.x. [DOI] [PubMed] [Google Scholar]
  • 20.Khader A, Farajallah L, Shahin Y, et al. Cohort monitoring of persons with hypertension: an illustrated example from a primary healthcare clinic for Palestine refugees in Jordan. Trop Med Int Health. 2012;17:1163–1170. doi: 10.1111/j.1365-3156.2012.03048.x. [DOI] [PubMed] [Google Scholar]
  • 21.World Health Organization . Use of glycated haemoglobin (HbA1c) in the diagnosis of diabetes mellitus: abbreviated report of a WHO consultation. WHO/NMH/CHP/CPM/11.1. Geneva, Switzerland: WHO; 2011. http://www.who.int/cardiovascular_diseases/report-hba1c_2011_edited.pdf. Accessed November 2013. [PubMed] [Google Scholar]

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