Preventing Complications of Type-2 Diabetes: History
View Latest Version
Please note this is an old version of this entry, which may differ significantly from the current revision.
Subjects: Health Care Sciences & Services | Nutrition & Dietetics
Contributor:
Maria Teresa Riccardi

Diabetes is a major public health concern that is approaching epidemic proportions globally [1]. About 422 million people worldwide have diabetes, and 1.6 million deaths are directly attributed to diabetes each year. The most common is the type 2 diabetes. In the past three decades, the prevalence of type 2 diabetes has risen dramatically in countries of all income levels [2].

  • patient engagement
  • food literacy
  • diabetes intervention
  • chronic disease

1. Introduction

There is substantial evidence that leading a healthy lifestyle, including following a healthy diet, achieving modest weight loss, and performing regular physical activity, can maintain healthy blood glucose levels and reduce the risk of complications of type 2 diabetes [1]. Indeed, the American Diabetes Association (ADA) published guidelines highlighting that self-management and education are crucial aspects of diabetes care allowing the optimization of metabolic control, the improvement of overall quality of life, and the prevention of acute and chronic complications [2]. Given its nature, primary care can be a valuable setting for preventing diabetes and its complications in at-risk populations because it is a patient’s primary point of contact with the health care system. Patients can be offered support by primary care health professionals (e.g., general practitioners, practice nurses) for prevention, such as screening and lifestyle advice, as well as monitoring health outcomes [3]. For these reasons, scholars have been studying how to educate and engage patients in effective behavioral change towards better health outcomes [4][5][6]. The concept of food literacy is recognized in the literature as a fundamental ingredient for the management of chronic diseases, such as type 2 diabetes [7]. This concept is defined in the literature as the ability to develop knowledge and skills in food management, and it is a multi-componential concept that includes several aspects [8]. In a recent review of the literature [9], authors systematized the various definitions of food literacy, identifying these constitutional components: food skills, food nutritional knowledge, self-efficacy and attitudes towards food, food and dietary behaviors, ecological factors (socio-cultural, influences, and eating practices). This multi-component nature was also highlighted in the review from 2017 by Truman and colleagues [10]. However, both scholars and institutions suggested that knowledge alone is not sufficient to sustain a behavioral change in disease management, but it is necessary to gain a broader perspective that considers patients’ psychosocial aspects and how they contribute to their engagement in the care [11][12][13][14]. Recently, the World Health Organization confirmed the support of a change in this direction with the Shanghai 2016 declaration [15] that promotes both health literacy and empowerment for individuals to enable their participation in managing their health. Over the past 50 years, an extensive body of literature has emerged describing several concepts of the relationship between patients and healthcare systems. In this perspective, the patients are considered as full members of the healthcare team [16] not only with their disease but also with their psychological uniqueness, values, and experience [10][17][18] as the human component of the care. For the patients, to assume an active role in disease management, it means to shift from being a passive user of the healthcare services to being an active partner, emotionally resilient, and behaviorally able to adjust medical advices to their own disease status [14][19][20]. In fact, people with high levels of engagement have been identified as more effective in enhancing behavioral change and in adhering to medical prescriptions [21][22] and in diabetes management [23] and in having an overall better quality of care.

To sum up, in the past decades, the shift towards a more multifaceted approach to patients with diabetes is challenging the public health sector to lever on the patients themselves as the key actors for implementing effective educational interventions. In this scenario, concepts related to patient engagement have been recognized as an essential topic to sustain type 2 diabetes disease-management and prevention behaviors. However, the relative newness of this concept and the fragmentation of articles applying it to food literacy educational interventions in the scientific debate urges for a systematization aimed at providing innovative insights.

In line with these premises, the aim of this systematic review is to map educational intervention for patients with type 2 diabetes in order to promote food literacy, with a particular focus on patient engagement, and to discuss the results about disease complications’ prevention.

2. Analysis on Results

2.1. Overview of the Studies

After duplicates removal, a total of 1880 articles were retrieved from five databases; 1819 were excluded through title and abstract screening because they were not pertinent with the aims of the study, reported a different disease (i.e., type 1 diabetes, cardiovascular disease), or did not consider food literacy or patient-engagement outcomes. Twenty-eight articles were excluded after full-text analysis because they did not meet eligibility criteria (see Section 2.2). The articles included for the analyses ranged from 2003 to 2019 and were conducted in 13 different countries. The majority of the studies were conducted in the USA (n. 15) [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]; three in Iran [39][40][41] and Korea [6][42][43]; two in Canada [44][45] and the UK [46][47]; one in China [5], Belgium [4], Bulgaria [48], Hong Kong [49], Japan [50], Malaysia [51], Mexico [52], and Taiwan [53]. Considering articles’ design the majority (n. 21) was a Randomized Control Trial [5][6][24][26][27][28][29][30][31][32][33][35][39][41][42][43][45][46][47][51]; seven were a pre-post study [4][25][44][45][48][50][52]; three had a quasi-experimental design [37][49][53]; and one had a quasi-experimental case control [40]. The number of participants ranged from 17 to 1039 and had an average age between 43 and 74.5 (intervention sample). Table 1 reports an overview of all the included studies, describing year and country of the study; study design; outcome category; exposure timing; sample size (female; intervention and control); age (intervention and control) synthetic results; and long-term maintenance.
Table 1. Summary of the selected studies in the current systematic review.
ACY Study Design Exposure Timing Outcomes Cathegory N Age Intervention (Mean, SD) Age Control (Mean, SD) Synthetic Results
Glasgow, R.E., USA, 2003 Rct NR clinical, behavioral, psychological, literacy 320 59; 9.2 NR Improvements on behavioural, psychological, and biological outcomes. Difficulties in maintaining website usage over time.
Glasgow, R.E., USA, 2006 Rct NR clinical, behavioral, psychological, literacy 301 62.0 (11.7) 61.0 (11.0) Reduction of dietary fat intake and weight.
Among patients having elevated levels of HbA1c or lipids or depression at baseline, promising trend but not significant.
Petkova, V.B., Bulgaria, 2006 Pre-post study NR clinical, behavioral, psychological, literacy 24 64.96 (10.18) NR Improvement in patients’ diabetes knowledge and quality of life. Decreased frequency of hypo- and hyperglycemic incidents.
Song, M., Korea, 2009 Rct 2 days program clinical 49 51.0 (11.3) 49.5 (10.6) Reduction of mean HbA1c levels by 2.3% as compared with 0.4% in the control group. Increased adherence to diet.
Lujan, J., USA, 2007 Rct 8 weekly 2 h group sessions clinical, psychological, literacy 150 58 NR No significant changes at the 3-month assessment. At 6 months, adjusting for health insurance coverage, improvement of the diabetes knowledge scores and reduction of the HbA1c levels. The health-belief scores decreased in both groups.
Hill-Briggs, F., USA, 2008 Rct 90 min literacy 30 60.9 (8.9) 62.1 (11.2) Knowledge scores increased for below average (BA) and average (A) literacy groups. The BA group showed the largest gains in knowledge about recommended ranges for HbA1c, HDL cholesterol, and goals for CVD self-management. In the A group, the largest gains were found in differentiating LDL as “bad” cholesterol and knowing the recommended range for blood pressure.
Wallace, A.S., USA, 2009 Quasi-experimental NR behavioral, psychological, literacy 250 56 NR Improvements (similar across literacy levels) in activation, self-efficacy, diabetes-related distress, self-reported behaviors, and knowledge.
Hamuleh, M., Iran, 2010 Rct 40 min psychological and literacy 128 NA NA Using health-belief models for an educational intervention significantly modified benefits and barriers of perception to diet.
Hill-Briggs, F., USA, 2011 Rct NR clinical, behavioral, psychological, literacy 56 (29 intensive intervention; 26 condensed intervention) 61.1 (11.0) 61.5 (10.9) Program scored as helpful and easy to understand. At immediate post intervention, participants in both programs demonstrated knowledge gain. At 3 months post intervention, only the intensive intervention was effective in improving knowledge, problem-solving skills, self-care, and HbA1c levels.
Carter, E.L., USA, 2011 Rct 30 min biweekly clinical 47 52 49 Improvement in health outcomes and responsibility for self-health together with “other benefits’’.
Osborn, C.Y., USA, 2011 Rct expected to be completed in 5 days clinical, behavioral, psychological, literacy 118 56.7 (10.1) NR At 3-months: increased level of participants reading food labels and improvement in adherence to diet recommendations. No significant differences between the two groups on adjusted group means for physical activity and HbA1c levels.
Taghdisi, M.H., Iran, 2012 Quasi-experimental case-control study 20–30 min psychological 78 49 NR No significant increase in the mean score of quality of life. Significant differences in physical health, self-evaluation of quality of life, and self-assessment of health.
Castejón, A.M., USA, 2013 Rct half a day session + 2 × 60 min consultation clinical 43 55 (10) 54 (9) Greater BMI and HbA1c levels reduction. No significant difference in blood glucose, blood pressure, or lipid levels.
Swavely, D., USA, 2014 Pre-post study 13 h clinical, behavioral, psychological, literacy 106 56.8 (10.4) NR Significant improvements in diabetes knowledge, self-efficacy, and three self-care domains, such as diet, foot care, and exercise. At 3 months, levels of HbA1c decreased. No significant improvements in the frequency of blood glucose testing.
Calderón, J.L., USA, 2014 Rct 13 min video literacy 240 NA NA No differences in the increase of DHLS scores occurred in both groups, but when adjusting for baseline DHLS score, sex, age, and insurance status, intervention group performed better. For participants with inadequate literacy levels, health literacy scores significantly increased.
Koonce, T.Y., USA, 2015 Rct NR literacy 128 54 (12.1) 53 (9.6) DKT results at 2 weeks showed better performance on all literacy domains.
Kim, M.T., USA, 2015 Rct weekly 2 h sessions × 6 weeks clinical, behavioral, psychological, literacy 209 59.1 (8.4) 58.3 (8.5) At 12 months: reduction in HbA1c levels and improvement in diabetes-related self-efficacy and quality of life.
Ichiki, Y., Japan, 2016 Pre-post study 20 min sessions clinical 35 73.5 (12.2) NR Education was effective in participants with high baseline HbA1c levels (>8%) and poor understanding of their treatment.
Protheroe, J. UK, 2016 Rct NR clinical, behavioral, psychological, literacy 76 64.7 (11.2) 61.5 (10.1) Participants in the LHT arm had significantly improved mental health and illness perception. The intervention was associated with lower resource use, better patient self-care management, and better QALY profile at 7-month follow-up.
Bartlam, B. UK, 2016 Rct NR literacy 40 43 NR The intervention was acceptable to patients and, additionally, it resulted in behaviour changes.
Hung, J.Y., Taiwan, 2017 Quasi-experimental 1.5 h × 7 weeks clinical, behavioral, psychological, literacy 95 61.3 (8.0) 58.5 (9.1) Improvement in coping with disease and enhancement in self-care ability and positive effects on biochemical parameters, such as BMI, FPG, and HbA1c. DCMP could effectively increase the frequency of weekly SMBG and the DM health literacy levels among Taiwanese DM patients. No significant changes in depressive symptoms.
Lee, S.J., Korea, 2017 Rct 1 h clinical, behavioral, psychological, literacy 51 74.5 (4.8) 74.5 (4.8) Significant differences in DSK, DSE, DSMB, DHB, and HbA1c levels.
Wan, E.Y.F., Hong Kong, 2017 Quasi-experimental NR psychological 1039 63.80 (10.61) 68.54 (10.14) RAMP-DM was more effective in improving the physical component of HRQOL, patient enablement, and general health condition in patients with suboptimal HbA1c than those with optimal HbA1c. However, the hypothesis that the RAMP-DM can improve HRQOL cannot be fully supported by these research findings.
Lee, M.-K., USA, 2017 Rct NR clinical 198 54.6 (9.7) 56.4 (8.7) An increased SMBG frequency (twice a day) for the first 6 weeks with the telemonitoring device was associated with improved glycemic control (HbA1c and fructosamine blood levels) at 6 months.
Siaw, M.Y.L., Malaysia, 2017 Rct 20–30 min clinical, behavioral, psychological, literacy 330 59.2 (8.2) 60.1 (8.1) At 6 months: reduction of mean HbA1c, higher in patients with uncontrolled glycemia at baseline. Improvements in PAID and DTSQ scores, reduction in physician workload, and an average cost savings were observed.
Every 4 to 6 Weeks
Vandenbosch, J., Belgium, 2018 Pre-post study NR clinical, behavioral, psychological, literacy 366 62.1 (11.99) 62.5 (11.12) Positive effects of DSME programmes on self-reported self-management behaviours and almost all psychological and health outcomes regardless of HL level. Individual and group-based programs performed better than self-help groups.
Kim, S.H., Korea, 2019 Rct NR clinical, behavioral, psychological 155 NR NR At 9 weeks, patients with high HL showed higher levels of patient activation than those with low HL in the control group, while the difference related to HL was no longer significant in intervention groups. At 9 weeks, patients who received the telephone-based, HL-sensitive diabetes management intervention had a significantly higher score for self-care behaviors. No significance on HbA1c levels.
Rasoul, A.M., Iran, 2019 Rct 90′ session 3 times a week psychological 98 31.36 (5.29) 32.98 (4.42) Significant differences both in anthropometric variables/metabolic indicators (waist circumference, FBS, BMI) and quality of life score.
Cheng, L. China, 2019 Rct NR psychological 242 56.13 (10.72) 53.9 (13.01) At one week, significant improvements on empowerment level, reduction in terms of emotional-distress, regimen-distress, and physician-related distress was observed. Empowerment, emotional-distress, and improvement in quality of life were found to be still significant at 3 months.
McGowan, P., Canada, 2019 Pre-post study 30 min clinical, behavioral, psychological, literacy 115 60.8 (9.3) NR At 12 months: reduction of HbA1c level, fatigue, and depression level; improvement of general health, activation, empowerment, self-efficacy, and increased communication with physician.
Hernández-Jiménez, S., Mexico, 2019 Pre-post study sessions 30–60 min clinical 1837 51.1 (10.3) NR At 4 months, positive effects on empowerment, HL, anxiety, depression, quality of life, HbA1c levels, BP, and LDL. Decreasing trends were also observed at 12 months.
Sims Gould, J., Canada, 2019 Pre-post study NR behavioral, literacy 17 NR NR The GMVs increased participants’ diabetes literacy and self-management skills
White, R.O., 2021 Rct NR behavioral, literacy, clinical, psychological 364 51 (36–60) 50 (37–60) At 12 months: decreased risk of poor eating and better treatment satisfaction, self-efficacy, and HbA1c levels.
BMI, body mass index; CVD, cardiovascular disease; DCMP, diabetes conversation map program; DHLS, diabetes health literacy scale; DKT, diabetes knowledge test; DM, diabetes mellitus; DSE, diabetes support and education; DSK, diabetes self-management knowledge; DSME, diabetes self-management education; DTSQ, diabetes treatment satisfaction questionnaire; FBS, fasting blood sugar; FPG, fasting plasma glucose; HbA1c, glycated hemoglobin; HDL, high density lipoprotein; HL, health literacy; HRQOL, health-related quality of life; LDL, low density lipoprotein; LHT, lay health trainer; NA, not available; NR, not reported; PAID, problem areas in diabetes; QALY, quality-adjusted life year; RAMP-DM, risk assessment and management program-diabetes mellitus; Rct, randomized controlled trial; SMBG, self-monitoring of blood glucose.
 
 
Among the articles, narratively, different types of outcomes were grouped into broader categories: clinical outcomes (i.e., glycemic control, BMI, cholesterol, body pressure), behavioral outcomes (i.e., diet management, disease self-management, medications adherence, healthcare services utilization, physical activity), psychological (i.e., depression, quality of life, mental health in general, illness perception, patient satisfaction, patient activation, patient empowerment, self-efficacy, fatigue), and literacy (label-reading capabilities, knowledge).
Fourteen articles considered all these different types of outcomes together [4][24][25][26][28][32][34][38][43][44][46][48][51][53]; one article considered behavioral, psychological, and literacy outcomes [37]; one article considered clinical, behavioral, and psychological outcomes [43]; one article considered clinical, psychological, and literacy outcomes [35]; one article considered psychological and literacy outcomes [39]; one article considered behavioral and literacy outcomes [45]; six articles considered only clinical outcomes [27][29][33][42][50][52]; four articles considered only literacy [30][31][36][47]; and four articles considered only psychological outcomes [5][40][41][49].
Moreover, other studies described by this review considered aim of the intervention; intervention target; intervention provider; theory explicated; technology proxy involved; intervention materials; and outcome measure.

2.2. Quality Assessment

Table 2 provides an overall risk score for the included studies. The majority of the studies (n = 25) were identified as neutral in rating quality.
Table 2. Quality assessment attributes for each quantitative study included in the current systematic review, assessed by the Academy of Nutrition and Dietetics’ Quality Criteria Checklist.
Author (year) 1 2 3 4 5 6 7 8 9 10 Overall
Glasgow, R.E. (2003) Y Y Y N N N Y Y Y Y 0
Kim, M.T. (2015) Y Y Y N N N Y Y Y Y 0
Rasoul, A.M. (2019) Y Y Y Y N N Y Y N Y 0
Cheng, L. (2019) Y Y Y U Y Y Y Y Y Y +
Protheroe, J. (2016) Y Y Y Y Y N Y Y Y Y 0
Bartlam, B. (2016) Y Y Y U Y N Y Y Y Y 0
Lujan, J. (2007) Y Y N U N N Y Y N Y 0
Lee, S.J. (2017) Y Y Y Y Y Y Y Y Y Y +
Hill-Briggs, F. (2011) Y Y N Y N N Y Y Y Y 0
Kim, S.H. (2019) Y Y Y Y N N Y Y Y Y 0
Glasgow, R.E. (2006) Y N Y Y N N Y Y Y Y 0
Hamuleh, M. (2010) Y N Y N N Y Y Y Y Y 0
Lee, M.K. (2017) Y U Y U N N Y Y Y Y 0
Siaw, M.Y.L. (2017) Y N Y N N Y Y Y Y Y 0
Calderón, J.L. (2014) Y N Y U Y N Y Y Y Y 0
Song, M. (2018) Y N Y U N N Y Y Y Y 0
Castejón, A.M. (2013) Y Y Y N N Y Y Y Y Y +
Carter, E.L. (2011) Y Y Y N N Y Y Y Y Y +
Koonce, T.Y. (2015) Y Y Y N N Y Y Y Y Y +
Osborn, C.Y. (2011) Y Y Y N N N Y Y N Y 0
Hill-Briggs, F. (2008) Y N Y N N Y Y Y Y Y 0
Wan, E.Y.F. (2017) Y N N N N N Y Y Y Y 0
Hung, J.Y. (2017) Y Y Y U N Y Y Y Y Y +
Wallace, A.S. (2009) Y Y NA N N N Y Y N Y 0
Taghdisi, M.H. (2012) Y Y NA N N N Y Y Y Y 0
Vandenbosch, J. (2018) Y Y NA N N N Y Y Y Y 0
Hernández, J.S. (2019) Y Y NA N N N Y Y Y Y 0
Swavely, D. (2014) Y U NA U N Y Y Y Y Y 0
Petkova, V.B. (2006) Y Y NA N N N Y Y N Y 0
Sims, G.J. (2019) Y Y NA N N N Y Y Y Y 0
McGowan, P. (2019) Y Y NA N N N Y Y Y Y 0
Ichiki, Y. (2016) Y Y NA U N Y Y Y Y Y +
White, R.O., 2021 Y Y Y Y Y U Y Y Y Y +
Y, yes; N, no; NA, not applicable; U, unclear; +: the report has clearly addressed issues of inclusion/exclusion, bias, generalizability, and data collection and analysis.
 
Twenty-one studies were rated negatively in the intervention/exposure validity question (i.e., Were intervention/therapeutic regimens/exposure factor or procedure and any comparison(s) described in detail? Were intervening factors described?). The vast majority of articles (n = 27) did not use blinding to prevent introduction of bias (i.e., Was blinding used to prevent introduction of bias?), while 27 studies did not describe methods of handling withdrawals (i.e., Was the method of handling withdrawals described?).
All the included articles conducted the most proper statistical analyses, while the majority (n = 28) of studies supported their conclusions taking into consideration biases and limitations.
Signalling questions:
  • Was the research question clearly stated?
  • Was the selection of study subjects/patients free from bias?
  • Were study groups comparable?
  • Was method of handling withdrawals described?
  • Was blinding used to prevent introduction of bias?
  • Were intervention/therapeutic regimens/exposure factor or procedure and any comparison(s) described in detail? Were intervening factors described?
  • Were outcomes clearly defined and the measurements valid and reliable?
  • Was the statistical analysis appropriate for the study design and type of outcome indicators?
  • Are conclusions supported by results with biases and limitations taken into consideration?
  • Is bias due to study’s funding or sponsorship unlikely?

2.3. Outcome Categories

2.3.1. Patient Engagement Components

We classified the articles on the basis of the way patient engagement (as intended in this review) was conceptualized in the studies. In greater detail, fifteen articles conceptualized it as self-management alone [26][27][30][36][46][47] or together with other variables, such as quality of life, patient participation, or self-efficacy [4][6][29][32][34][38][41][42][45]. Seven articles described some kind of participation of the patients or the families into the definition or the adjustment of the intervention [24][25][28][31][35][40][48] in order to consider their opinion and to better target the intervention itself. Three articles included an evaluation of patient adherence to the treatment or the prescriptions [39][44][50] together with broader quality-of-life or empowerment measures. Three included the concept of patient activation [37][43][44]. Three included quality-of-life measures [49][52][53]. One used patient engagement [33] and one patient empowerment [5].

2.3.2. Intervention Target

The majority of the interventions (n = 27) described targeted individual patients [5][6][24][25][26][27][28][29][30][31][33][34][36][37][38][39][40][41][42][44][46][47][48][49][50][51]; four targeted patient groups [32][35][45][53]; and two both individuals and groups [4][52].

2.3.3. Intervention Provider

Eight articles described the intervention provided by a multidisciplinary team [25][28][38][42][45][49][51][52] among the others, composed by endocrinologists, general practitioners, ophthalmologist, podiatrist nutritionists, nurses, educators, physical therapist or rehabilitation specialist, dietitian, psychologist, dermatologist, and dentist. Five articles were by a nurse, of which two were practicing alone [27][31], one under the supervision of a specialist [33], and two by a nurse specialized in diabetes education [30][43]. In five articles, the researchers provided the intervention itself [5][37][40][41][53]. Four articles were by lay workers [32][35][46][47]. Three articles were by educators [4][34], in one case alternatively to a health professional [4]. In three articles, the intervention was delivered by a pharmacist [29][48][50], and in the other three, the provider was not specified [6][26][39]. Finally, one article described the intervention as provided by a doctor [24] and one article by a coach [44].

2.3.4. Theoretical Framework

Seventeen articles did not report a theoretical framework as the base for intervention development [25][27][29][31][33][36][37][41][44][46][47][48][49][50][51][52][53]. The other articles explained the theoretical framework or theory behind intervention development (n = 15). In particular, two articles reported the Social Cognitive theory inspired by Bandura [34][43][54]; one cited the Health-Belief Model [39][55]; and one the Trento Model by Trento and colleagues (2005) [45][56]; one article explicated theory related to self-efficacy in association with the Social Support Theory by Vaux (1998) [24][57] and two related to the concept of empowerment [35][53]; and one referred to the problem-solving model of chronic disease self-management by D’Zurilla and Nezu (1990) [26][58]. Finally, six articles framed the intervention in a more complex framework for behavioral change. Two of them referred to the PRECEDE model (Predisposing, Reinforcing, and Enabling Constructs in Education/Environmental Diagnosis and Evaluation [32][40] inspired by Lusk et al. [59]; one to the Information–Motivation–Behavioral Skills (IMB) [28][60]; one to the diabetes outpatient intensive management program (DOIMP) [42]; one to the causal pathway proposed by Fransen and colleagues (2012) [61]; and one to the Diabetes Self-Management Outcome Framework (DSMOF) [4]; and one article included a toolkit based on two previous validated models: the Diabetes Literacy and Numeracy Educational Toolkit and The American College of Physicians Foundation Living With Diabetes Guide [38]. We also crossed the theoretical framework with the conceptualization of patient engagement proposed by the different authors (Figure 2).
Jpm 11 00795 g002 550
Figure 2. Graphical representation of the theoretical framework used for the different conceptualization of patient engagement.

2.3.5. Intervention Materials

Nine articles did not report or did not use any kind of intervention material [4][5][33][42][45][46][49][51][52].
Eight articles supported the intervention with a guide [27][37][38][39][40][43][44][47] in the form of a brochure, pamphlet, booklet, leaflet, among which one used together with films [40]. Four articles used visual materials, such as flipcharts alone [28] or in support of models and handouts [35], graphics and audio recordings [31] or conversation cards [53]. Three articles used a video [29][30][41], of which one used together with films, posters, and images [41]. Moreover, three articles used a questionnaire or checklist [34][48][50]: online [34] or in paper form [34][48][50]. Three articles used workbooks [6][26][36], one with the secondary materials (including a blood glucose meter, which measured and automatically transmitted results to a website; a rice bowl) [6]. Finally, one article used website information [24]; one article used multimedia materials [32]; and one article used only conversation maps [25].

2.3.6. Technology Proxy

The majority of the articles (n = 24) did not use a technology proxy in the intervention [5][6][25][26][28][29][31][32][35][36][37][38][39][41][42][44][45][46][47][48][50][51][53]; the other three used the desktop computer or laptop as a tool to facilitate patients’ data transmission from the patient to the hospital [24][27][33]; three articles generically referred to the use of the Internet [4][24][41]; and one used social media [43], while two adopted emails and the hospital webpage as an informative tool [33][52].

2.3.7. Outcome Measure

The outcome measures were classified based on the outcome category. Clinical measurements often occurred with standard techniques, so the measure tool was unspecified in most cases. A summary of the outcome categories and related measure tools are reported in Table 3.
Table 3. Summary of interventions’ outcomes and measures used in the selected studies.
ACY Outcome Categories and Measure Tools
Glasgow, R.E., USA, 2003
  • Clinical: Glycated hemoglobin (HbA1c) determination was based on turbidimetric immunoinibition using hemolized whole blood, with the Hitachi 717; Block/NCI Fat Screener scale
  • Behavioral: Kristal Fat and Fiber Behavior
  • Psychological: Diabetes Support Scale; Center for Epidemiologic Studies–Depression scale
  • Literacy: American Diabetes Association Provider Recognition Program
Glasgow, R.E., USA, 2006
  • Clinical: Block/NCI Fat Screener scale; National Glycohemoglobin Standardization Program (NGSP) Roche methodologies; enzymatic methods
  • Behavioral: NCI Fruit and Vegetable Screener
  • Psychological: Diabetes Distress Scale; Patient Health Questionnaire
  • Literacy *
Petkova, V.B., Bulgaria, 2006
  • Clinical *
  • Behavioral *
  • Psychological: Diabetes Questionnaire
  • Literacy *
Song, M., Korea, 2009
  • Clinical: HbA1c levels were measured using a high-performance liquid chromatography technique with a Variant II analyzer (Bio-Rad, Montreal, QC, Canada)
  • Behavioral: The self-report questionnaire on adherence
Lujan, J., USA, 2007
  • Clinical: Glycemic control for HbA1c levels was measured by a finger-stick procedure to obtain the blood and a Bayer 2000 analyzer to analyze the sample
  • Psychological: Bilingual Diabetes Health-Belief Model
  • Literacy: Bilingual Diabetes Knowledge Questionnaire
Hill-Briggs, F., USA, 2008
  • Literacy: Wide-Range Achievement Test
Wallace, A.S., USA, 2009
  • Behavioral: Patient Activation Measure
  • Psychological: Diabetes Distress Scale
  • Literacy: Test of Functional Health Literacy for Adults
Hamuleh, M., Iran, 2010
  • Clinical: HbA1c was measured by using photometer method with Biochemical autoanalyzer device model BT3000
  • Psychological *
  • Literacy *
Hill-Briggs, F., USA, 2011
  • Clinical: HbA1c was measured using high-pressure liquid chromatography; LDL and HDL were measured using standard techniques; blood pressure was assessed using a random-zero sphygmomanometer
  • Behavioral: Summary of Diabetes Self-Care Activities scale
  • Psychological: Test Health Problem-Solving Scale
  • Literacy: Diabetes and Cardiovascular Disease Knowledge
Carter, E.L., USA, 2011
  • Clinical *
Osborn, C.Y., USA, 2011
  • Clinical *
  • Behavioral *
  • Psychological *
  • Literacy *
Taghdisi, M.H., Iran, 2012
  • Psychological: The World Health Organization quality-of-life assessment
Castejón, A.M., USA, 2013
  • Clinical *
Swavely, D., USA, 2014
  • Clinical *
  • Behavioral: Summary of Diabetes Self-Care Activities tool
  • Psychological: Stanford Diabetes Self-Efficacy
  • Literacy: Short Test of Functional Health Literacy in Adults; Spoken Knowledge in Low Literacy Patients with Diabetes
Calderón, J.L., USA, 2014
  • Literacy: Functional Health Literacy in Adults; Diabetes Health Literacy Survey (DHLS)
Koonce, T.Y., USA, 2015
  • Literacy: Modified version of the Michigan Research and Training Center’s Diabetes Knowledge Test; modified version of the Subjective Numeracy Scale
Kim, M.T., USA, 2015
  • Clinical *
  • Behavioral: Summary of Diabetes Self-Care Activities scale
  • Psychological: Stanford Chronic Disease Self-Efficacy scale; Diabetes Quality-of-Life Measure (DQOL)
  • Literacy: Diabetes Knowledge Test (DKT)
Ichiki, Y., Japan, 2016
  • Clinical: HbA1c levels were determined according to the National Glycohemogloblin Standardization Program (NGSP)
Protheroe J., UK, 2016
  • Behavioral: Summary of Diabetes Self-Care Activities Measure
  • Psychological: Diabetes Quality of Life Brief Clinical Inventory for Quality of Life; EQ5D for health-related Quality of Life; Warwick-Edinburgh Mental Well-Being; Brief Illness Perception Score; Quality of Life SF12
  • Literacy: Newest Vital Sign U
Bartlam B.,UK, 2016
  • Psychological: Warwick-Edinburgh Mental Well-Being Scale
  • Literacy: Newest Vital Sign UK
Hung, J.Y., Taiwan, 2017
  • Clinical *
  • Behavioral *
  • Psychological: Taiwanese Depression Questionnaire
  • Literacy *
Lee, S.J., Korea, 2017
  • Clinical: HbA1c, blood pressure, and serum lipids
  • Behavioral: The Korean version of the Summary of Diabetes Self-Care Activities Questionnaire
  • Psyhological: Health Belief Scale for Diabetes; The Diabetes Management Self-Efficacy Scale for Older Adults
  • Literacy: Korean Health Literacy Assessment Tool; Diabetes Self-Management Knowledge; The Diabetes Self-Management Knowledge for Older Adults
Wan, E.Y.F., Hong Kong, 2017
  • Psychological: Quality of Life SF-12v2; Patient-Enablement Instrument
Lee, M.-K., USA, 2017
  • Clinical: HbA1c level; fructosamine, weight, blood pressure, and LDL cholesterol were measured by Samsung Health Diary (SHD) telemonitoring device
Siaw, M.Y.L., Malaysia, 2017
  • Clinical *
  • Behavioral *
  • Psychological: Problem Areas in Diabetes Questionnaire; Diabetes Treatment Satisfaction Questionnaire
  • Literacy *
* Vandenbosch, J., Belgium, 2018
  • Behavioral: Summary of Diabetes Self-Care Activities Questionnaire
  • Psychological: Problem Areas in Diabetes Questionnaire; SF-36 Health survey
  • Literacy: Appraisal of Diabetes Scale (ADS)
Kim, S.H., Korea, 2019
  • Clinical *
  • Behavioral: Patient Activation Measure; Revised Korean version of the Summary of Diabetes Self-Care Activities measure
  • Psychological *
  • Literacy: Short Form of the Korean Functional Health Literacy Test
Rasoul, A.M., Iran, 2019
  • Psychological: Diabetes Quality of Life Measure
Cheng, L. China, 2019
  • Psychological: Diabetes Empowerment Scale-Short Form; Diabetes Distress Scale; Audit Diabetes Dependent Quality of Life
McGowan, P., Canada, 2019
  • Clinical *
  • Behavioral: Patient Activation Measure; Morisky Medication Adherence Scale
  • Psychological: Self-Efficacy scale; Patient Health Questionnaire-9; Diabetes Empowerment Scale
  • Literacy *
Hernández-Jiménez, S., Mexico, 2019
  • Clinical: Fasting concentrations of glucose, creatinine, lipids and HbA1c (Bio-Rad Variant II Turbo HbA1c Kit 2, with HPLC method) were assessed in each visit; Albuminuria/creatinuria ratio (ACR) (SYNCHRON CX system with colorimetric method); body composition was assessed by bioimpedance (body composition analyzer JAWON medical ioi353).
  • Behavioral: National Committee for Quality Assurance criteria for the achievement of treatment goals; International Physical Activity Questionnaire
  • Psychological: The Diabetes Empowerment Scale-Short Form; Hospital Anxiety and Depression Scale; Diabetes Quality-of-Life Measure; Problem Areas in Diabetes Questionnaire
  • Literacy: Diabetes Knowledge Scale
Sims Gould, J., Canada, 2019
  • Behavioral *
  • Literacy *
White, R.O., 2021
  • Clinical *
  • Behavioral: Summary of Diabetes Self-Care Activities; Adherence to Refills and Medication Scale; Personal Diabetes Questionnaire
  • Psychological: Diabetes Treatment Satisfaction Questionnaire; Perceived Diabetes Self-Management Scale
  • Literacy: Short Test of Functional Health Literacy in Adults; Diabetes Numeracy Test (DNT)
* No reported measurement tool. NCI, National Cancer Institute; LDL, low-density lipoprotein; HDL, high-density lipoprotein.

4. Current Insights

The present systematic review mapped the educational interventions for type 2 diabetes patients aimed to promote food literacy, with a specific focus on patient engagement conceptualizations. All the interventions described in the included articles have highlighted how taking actions aimed at improving food literacy is a key element in achieving diabetes management [7].
Since patient education in type 2 diabetes is becoming more multifaceted and trying to integrate psychosocial aspects and literacy, scholars have published an increasing number of articles to investigate the effects of these variables on patients’ outcomes. This systematic review offers an integrated view on the phenomenon that categorizes the main features of the interventions and assesses the quality of the studies published to date. In greater detail, the articles included in this review ranged from 2003 to date, suggesting that scholars started to consider both aspects of food literacy and patient engagement only in the last two decades. The care of chronic diseases requires a deep reconfiguration of the patients’ life and the adaptation to a new lifestyle, which also encompasses disease management. For this reason, a more integrated approach to the education of these patients could have positive effects on both clinical [34][42][44] and psychosocial outcomes [40][49]. This appears to be in line with the conceptualization of patient-centered care proposed at the beginning of the new millennium [62]. This is also particularly relevant in the field of chronic diseases [63], such as diabetes. Overall, as highlighted in the latest literature [64], signals suggesting the increasing willingness of scholars to broaden the idea of diabetes education by approaching it from a multifaceted perspective were found. In our review, most of the articles conceptualized patient engagement in terms of self-management. Fewer studies included the idea of patients’ active participation in the development or fine-tuning of the intervention or to involve them in the decision making along the care journey. Even if these results could be interpreted as a first step towards the inclusion of patients as an active part of the care team, this idea is still conceptualized and limited to care management [30][41]. In line with this consideration, the theoretical frameworks mapped here also belong mainly to the self-management area. Patients’ ability to manage their care with awareness and specific skills is surely recognized as one of the primary goals of the care process [41]. However, recently, scholars called for a more integrated approach to patients in which they should be considered as a member of the team itself, with their behavioral and psychological resources [63]. The same emerged for the concept of food literacy, which was measured in the articles analyzed here as following more an operational definition rather than a multifactorial and social one. This appears to be in contrast with the recent literature that claims the need to overcome a vision of food literacy only aimed at filling patients’ knowledge gaps with information [65]. It now appears urgent to frame food literacy in a more subject-centered approach to literacy.
Our systematic review also highlights a relevant involvement of the multidisciplinary team in the education interventions [32][45][49][52]. In line with the premises of this review, this result suggests that in the last years, the education of patients with type 2 diabetes involves different specialists able to work together to guarantee positive outcomes, as described by different authors from our work [45][52]. These results appear encouraging if framed in the recent literature that highlights how the support of different health professionals could be beneficial for the patients [66] and for the care team [67][68][69]. This is in accordance with the quadruple aim, which fosters both the enhancement of patients’ experience and the care-team wellbeing [70].
Our review further mapped that most of the studies adopted tools that were developed for the specific investigation being reported and did not use a validated theoretical framework [27][41][71]. The lack of theory-driven intervention could be discussed considering the difficulty to adapt specific educational objectives, which depends largely on the patients’ characteristics, such as literacy level, as discovered by Kim and colleagues (2019) [43], who found effective results in patients with lower initial literacy. However, the risk of not using a theory-driven intervention is that the results may remain fragmented without the possibility to guide other future research.
Our systematic review also mapped the use of a technology proxy, which is nowadays recognized as an efficient support in boosting patients’ education, as already established by a previous research underlying that technological interventions could benefit people living with diabetes [72]. Only a few articles included a web tool (e.g., social media, web sites, apps) in their educational intervention [24][27][33]. However, it can be discussed, as the use of the Internet is relevant and also in the light of the recent COVID-19 pandemic, which called for the reconfiguration of the healthcare system in hybrid online-offline forms [73]. The use of telemedicine, for example, is described as an ally able to guarantee continuity of care and quality of life to patients [74]. For this reason, the use of technology to engage patients in the educational interventions should be encouraged in order to overcome possible barriers.
With regards to the quality of included studies, a consideration should be done when interpreting the findings. It should be acknowledged that in the QCC quality assessment checklist, the validity question concerning the full description of the adopted intervention and comparison (i.e., Were intervention/therapeutic regimens/exposure factor or procedure and any comparison(s) described in detail? Were intervening factors described?) has a significant weight on the assessment of the included studies since most of them were rated negatively in this domain.
To conclude, given the mutated health needs of diabetic patients, the increasing burden of chronic disease on health systems, and the necessity of proper communication flows with respect to the past years, the present findings suggest that the research is struggling to bridge this gap in type 2 diabetes management. Food literacy and patient engagement should be considered as strongly related to patients’ care and should be assessed with validated measures in order to fine-tune the intervention and obtain more efficient results. In addition, the conceptualization of patient engagement should turn to considering a broader involvement of the patients not only in terms of self-management but also increasing their psychological engagement in all the care process. In doing so, disease management should be considered as a real lifestyle change, and in these terms, it demands that the patients not only to be instructed with information but also with appropriate tools that allow them to become an active partner of the care process. With this aim, web tools could be an enabler to facilitate this process by guaranteeing continuity of care and to actively involve patients but also to enhance professional exchange, which is relevant in chronic disease management.
The present systematic review has strengths and limitations. It was conducted according to widely used methodological frameworks, such as PRISMA guidelines for the collection analysis and the QCC-validated quality checklist, which guaranteed the rigor of the results. However, due to the heterogeneity of the adopted measurement tools and variables, it was not possible to conduct a meta-analysis. Additionally, we included a broad range of studies, which may limit the review’s design. Nevertheless, wider inclusion of studies is needed since, sometimes, RCT is not the most suitable design for literacy and engagement interventions.
In addition, differently from other recent reviews on the same population focusing particularly on one outcome (e.g., glycemic control) [75], the present systematic review took into account several outcomes. Although it was impossible to evaluate the efficacy of the individual studies’ features on the outcome assessment (e.g., glycated hemoglobin), in our review, we proposed a taxonomy of the main conceptualization of patient engagement with relative theoretical frameworks, which can be used to guide health policies for public health practitioners and decision makers. To do so, future studies are encouraged to use validated tools to measure both literacy and engagement in order to allow other researchers to compare the effectiveness of the results. Further studies investigating whether the several definitions of food literacy align with more nuanced understandings of food literacy, as reported in the scientific literature [76], are needed. Moreover, future researches providing a structured understanding of food literacy are imperatively required.
Besides, additional researches adopting technologies and, consequently, assessing their effects on outcomes are essential since, to date, it has been proven to result in relative utility and efficacy in patients’ education.

This entry is adapted from the peer-reviewed paper 10.3390/jpm11080795

References

  1. Chong, S.; Ding, D.; Byun, R.; Comino, E.; Bauman, A.; Jalaludin, B. Lifestyle Changes After a Diagnosis of Type 2 Diabetes. Diabetes Spectr. 2017, 30, 43–50.
  2. American Diabetes Association. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2020. Diabetes Care 2020, 43 (Suppl. 1), S14–S31.
  3. Messina, J.; Campbell, S.; Morris, R.; Eyles, E.; Sanders, C. A Narrative Systematic Review of Factors Affecting Diabetes Prevention in Primary Care Settings. PLoS ONE 2017, 12, e0177699.
  4. Vandenbosch, J.; Van den Broucke, S.; Schinckus, L.; Schwarz, P.; Doyle, G.; Pelikan, J.; Muller, I.; Levin-Zamir, D.; Schillinger, D.; Chang, P.; et al. The Impact of Health Literacy on Diabetes Self-Management Education. Health Educ. J. 2018, 77, 349–362.
  5. Cheng, L.; Sit, J.W.H.; Choi, K.; Chair, S.; Li, X.; Wu, Y.; Long, J.; Yang, H. The Effects of an Empowerment-Based Self-Management Intervention on Empowerment Level, Psychological Distress, and Quality of Life in Patients with Poorly Controlled Type 2 Diabetes: A Randomized Controlled Trial. Int. J. Nurs. Stud. 2021, 116, 103407.
  6. Lee, S.J.; Song, M.; Im, E.-O. Effect of a Health Literacy–Considered Diabetes Self-Management Program for Older Adults in South Korea. Res. Gerontol. Nurs. 2017, 10, 215–225.
  7. Cullen, T.; Hatch, J.; Martin, W.; Higgins, J.W.; Sheppard, R. Food Literacy: Definition and Framework for Action. Can. J. Diet. Pract. Res. 2015, 76, 140–145.
  8. Vidgen, H.A.; Gallegos, D. Defining Food Literacy and Its Components. Appetite 2014, 76, 50–59.
  9. Azevedo Perry, E.; Thomas, H.; Samra, H.R.; Edmonstone, S.; Davidson, L.; Faulkner, A.; Petermann, L.; Manafò, E.; Kirkpatrick, S.I. Identifying Attributes of Food Literacy: A Scoping Review. Public Health Nutr. 2017, 20, 2406–2415.
  10. Truman, E.; Lane, D.; Elliott, C. Defining Food Literacy: A Scoping Review. Appetite 2017, 116, 365–371.
  11. Coulter, A. Patient Engagement—What Works? J. Ambul. Care Manag. 2012, 35, 80–89.
  12. Graffigna, G.; Barello, S.; Bonanomi, A.; Riva, G. Factors Affecting Patients’ Online Health Information-Seeking Behaviours: The Role of the Patient Health Engagement (PHE) Model. Patient Educ. Couns. 2017, 100, 1918–1927.
  13. Gruman, J.; Rovner, M.H.; French, M.E.; Jeffress, D.; Sofaer, S.; Shaller, D.; Prager, D.J. From Patient Education to Patient Engagement: Implications for the Field of Patient Education. Patient Educ. Couns. 2010, 78, 350–356.
  14. Menichetti, J.; Libreri, C.; Lozza, E.; Graffigna, G. Giving Patients a Starring Role in Their Own Care: A Bibliometric Analysis of the on-Going Literature Debate. Health Expect. 2016, 19, 516–526.
  15. World Health Organization. Promoting Health in the SDGs. In Proceedings of the 9th Global Conference for Health Promotion, Shanghai, China, 21–24 November 2016.
  16. Wolf, A.; Moore, L.; Lydahl, D.; Naldemirci, Ö.; Elam, M.; Britten, N. The Realities of Partnership in Person-Centred Care: A Qualitative Interview Study with Patients and Professionals. BMJ Open 2017, 7, e016491.
  17. Swanson, V.; Maltinsky, W. Motivational and Behaviour Change Approaches for Improving Diabetes Management. Pract. Diabetes 2019, 36, 121–125.
  18. Rushforth, B.; McCrorie, C.; Glidewell, L.; Midgley, E.; Foy, R. Barriers to Effective Management of Type 2 Diabetes in Primary Care: Qualitative Systematic Review. Br. J. Gen. Pract. 2016, 66, e114–e127.
  19. Barello, S.; Graffigna, G.; Vegni, E. Patient Engagement as an Emerging Challenge for Healthcare Services: Mapping the Literature. Nurs. Res. Pract. 2012, 2012, 1–7.
  20. Hibbard, J.H.; Greene, J. What The Evidence Shows About Patient Activation: Better Health Outcomes And Care Experiences; Fewer Data On Costs. Health Aff. 2013, 32, 207–214.
  21. Hill, A.-M.; Etherton-Beer, C.; Haines, T.P. Tailored Education for Older Patients to Facilitate Engagement in Falls Prevention Strategies after Hospital Discharge—A Pilot Randomized Controlled Trial. PLoS ONE 2013, 8, e63450.
  22. Greene, J.; Hibbard, J.H. Why Does Patient Activation Matter? An Examination of the Relationships Between Patient Activation and Health-Related Outcomes. J. Gen. Intern. Med. 2012, 27, 520–526.
  23. Graffigna, G.; Barello, S.; Libreri, C.; Bosio, C.A. How to Engage Type-2 Diabetic Patients in Their Own Health Management: Implications for Clinical Practice. BMC Public Health 2014, 14, 648.
  24. Glasgow, R.E.; Boles, S.M.; McKay, H.G.; Feil, E.G.; Barrera, M. The D-Net Diabetes Self-Management Program: Long-Term Implementation, Outcomes, and Generalization Results. Prev. Med. 2003, 36, 410–419.
  25. Swavely, D.; Vorderstrasse, A.; Maldonado, E.; Eid, S.; Etchason, J. Implementation and Evaluation of a Low Health Literacy and Culturally Sensitive Diabetes Education Program. J. Healthc. Qual. 2014, 36, 16–23.
  26. Hill-Briggs, F.; Lazo, M.; Peyrot, M.; Doswell, A.; Chang, Y.-T.; Hill, M.N.; Levine, D.; Wang, N.-Y.; Brancati, F.L. Effect of Problem-Solving-Based Diabetes Self-Management Training on Diabetes Control in a Low Income Patient Sample. J. Gen. Intern. Med. 2011, 26, 972–978.
  27. Carter, E.L.; Nunlee-Bland, G.; Callender, C. A Patient-Centric, Provider-Assisted Diabetes Telehealth Self-Management Intervention for Urban Minorities. Perspect. Health Inf. Manag. 2011, 8, 1b.
  28. Osborn, C.Y.; Amico, K.R.; Cruz, N.; Perez-Escamilla, R.; Kalichman, S.C.; O’Connell, A.A.; Wolf, S.A.; Fisher, J.D. Development and Implementation of a Culturally Tailored Diabetes Intervention in Primary Care. Transl. Behav. Med. 2011, 1, 468–479.
  29. Castejón, A.M.; Calderón, J.L.; Perez, A.; Millar, C.; McLaughlin-Middlekauff, J.; Sangasubana, N.; Alvarez, G.; Arce, L.; Hardigan, P.; Rabionet, S.E. A Community-Based Pilot Study of a Diabetes Pharmacist Intervention in Latinos: Impact on Weight and Hemoglobin A1c. J. Health Care Poor Underserved 2014, 24, 48–60.
  30. Calderón, J.L.; Shaheen, M.; Hays, R.D.; Fleming, E.S.; Norris, K.C.; Baker, R.S. Improving Diabetes Health Literacy by Animation. Diabetes Educ. 2014, 40, 361–372.
  31. Koonce, T.Y.; Giuse, N.B.; Kusnoor, S.V.; Hurley, S.; Ye, F. A Personalized Approach to Deliver Health Care Information to Diabetic Patients in Community Care Clinics. J. Med. Libr. Assoc. 2015, 103, 123–130.
  32. Kim, M.T.; Kim, K.B.; Huh, B.; Nguyen, T.; Han, H.-R.; Bone, L.R.; Levine, D. The Effect of a Community-Based Self-Help Intervention. Am. J. Prev. Med. 2015, 49, 726–737.
  33. Lee, M.-K.; Lee, K.-H.; Yoo, S.-H.; Park, C.-Y. Impact of Initial Active Engagement in Self-Monitoring with a Telemonitoring Device on Glycemic Control among Patients with Type 2 Diabetes. Sci. Rep. 2017, 7, 3866.
  34. Glasgow, R.E.; Nutting, P.A.; Toobert, D.J.; King, D.K.; Strycker, L.A.; Jex, M.; O’Neill, C.; Whitesides, H.; Merenich, J. Effects of a Brief Computer-Assisted Diabetes Self-Management Intervention on Dietary, Biological and Quality-of-Life Outcomes. Chonic Illn. 2006, 2, 27–38.
  35. Lujan, J.; Ostwald, S.K.; Ortiz, M. Promotora Diabetes Intervention for Mexican Americans. Diabetes Educ. 2007, 33, 660–670.
  36. Hill-Briggs, F.; Renosky, R.; Lazo, M.; Bone, L.; Hill, M.; Levine, D.; Brancati, F.L.; Peyrot, M. Development and Pilot Evaluation of Literacy-Adapted Diabetes and CVD Education in Urban, Diabetic African Americans. J. Gen. Intern. Med. 2008, 23, 1491–1494.
  37. Wallace, A.S.; Seligman, H.K.; Davis, T.C.; Schillinger, D.; Arnold, C.L.; Bryant-Shilliday, B.; Freburger, J.K.; DeWalt, D.A. Literacy-Appropriate Educational Materials and Brief Counseling Improve Diabetes Self-Management. Patient Educ. Couns. 2009, 75, 328–333.
  38. White, R.O.; Chakkalakal, R.J.; Wallston, K.A.; Wolff, K.; Gregory, B.; Davis, D.; Schlundt, D.; Trochez, K.M.; Barto, S.; Harris, L.A.; et al. The Partnership to Improve Diabetes Education Trial: A Cluster Randomized Trial Addressing Health Communication in Diabetes Care. J. Gen. Intern. Med. 2020, 35, 1052–1059.
  39. Mardani Hamuleh, M.; Shahraki Vahed, A.; Piri, A.R. Effects of Education Based on Health Belief Model on Dietary Adherence in Diabetic Patients. J. Diabetes Metab. Disord. 2010, 9, 15.
  40. Taghdisi, M.; Borhani, M.; Solhi, M.; Afkari, M.; Hosseini, F. The Effect of an Education Program Utilising PRECEDE Model on the Quality of Life in Patients with Type 2 Diabetes. Health Educ. J. 2012, 71, 229–238.
  41. Rasoul, A.M.; Jalali, R.; Abdi, A.; Salari, N.; Rahimi, M.; Mohammadi, M. The Effect of Self-Management Education through Weblogs on the Quality of Life of Diabetic Patients. BMC Med. Inform. Decis. Mak. 2019, 19, 205.
  42. Song, M.-S.; Kim, H.-S. Intensive Management Program to Improve Glycosylated Hemoglobin Levels and Adherence to Diet in Patients with Type 2 Diabetes. Appl. Nurs. Res. 2009, 22, 42–47.
  43. Kim, S.H.; Utz, S. Effectiveness of a Social Media–Based, Health Literacy–Sensitive Diabetes Self-Management Intervention: A Randomized Controlled Trial. J. Nurs. Scholarsh. 2019, 51, 661–669.
  44. McGowan, P.; Lynch, S.; Hensen, F. The Role and Effectiveness of Telephone Peer Coaching for Adult Patients With Type 2 Diabetes. Can. J. Diabetes 2019, 43, 399–405.
  45. Sims Gould, J.; Tong, C.; Ly, J.; Vazirian, S.; Windt, A.; Khan, K. Process Evaluation of Team-Based Care in People Aged >65 Years with Type 2 Diabetes Mellitus. BMJ Open 2019, 9, e029965.
  46. Protheroe, J.; Rathod, T.; Bartlam, B.; Rowlands, G.; Richardson, G.; Reeves, D. The Feasibility of Health Trainer Improved Patient Self-Management in Patients with Low Health Literacy and Poorly Controlled Diabetes: A Pilot Randomised Controlled Trial. J. Diabetes Res. 2016, 2016, 1–11.
  47. Bartlam, B.; Rathod, T.; Rowlands, G.; Protheroe, J. Lay Health Trainers Supporting Self-Management amongst Those with Low Heath Literacy and Diabetes: Lessons from a Mixed Methods Pilot, Feasibility Study. J. Diabetes Res. 2016, 2016, 1–10.
  48. Petkova, V.B.; Petrova, G.I. Pilot Project for Education of Patients with Type 2 Diabetes by Pharmacists. Acta Diabetol. 2006, 43, 37–42.
  49. Wan, E.Y.F.; Fung, C.S.C.; Wong, C.K.H.; Choi, E.P.H.; Jiao, F.F.; Chan, A.K.C.; Chan, K.H.Y.; Lam, C.L.K. Effectiveness of a Multidisciplinary Risk Assessment and Management Programme—Diabetes Mellitus (RAMP-DM) on Patient-Reported Outcomes. Endocrine 2017, 55, 416–426.
  50. Ichiki, Y.; Kobayashi, D.; Kubota, T.; Ozono, S.; Murakami, A.; Yamakawa, Y.; Zeki, K.; Shimazoe, T. Effect of Patient Education for Diabetic Outpatients by a Hospital Pharmacist: A Retrospective Study. Yakugaku Zasshi 2016, 136, 1667–1674.
  51. Siaw, M.Y.L.; Ko, Y.; Malone, D.C.; Tsou, K.Y.K.; Lew, Y.-J.; Foo, D.; Tan, E.; Chan, S.C.; Chia, A.; Sinaram, S.S.; et al. Impact of Pharmacist-Involved Collaborative Care on the Clinical, Humanistic and Cost Outcomes of High-Risk Patients with Type 2 Diabetes (IMPACT): A Randomized Controlled Trial. J. Clin. Pharm. Ther. 2017, 42, 475–482.
  52. Hernández-Jiménez, S.; García-Ulloa, A.C.; Bello-Chavolla, O.Y.; Aguilar-Salinas, C.A.; Kershenobich-Stalnikowitz, D. Long-Term Effectiveness of a Type 2 Diabetes Comprehensive Care Program. The CAIPaDi Model. Diabetes Res. Clin. Pract. 2019, 151, 128–137.
  53. Hung, J.-Y.; Chen, P.-F.; Livneh, H.; Chen, Y.-Y.; Guo, H.-R.; Tsai, T.-Y. Long-Term Effectiveness of the Diabetes Conversation Map Program. Medicine 2017, 96, e7912.
  54. Bandura, A. Social Cognitive Theory: An Agentic Perspective. Annu. Rev. Psychol. 2001, 52, 1–26.
  55. Abraham, C.; Sheeran, P. The Health Belief Model. In Cambridge Handbook of Psychology, Health and Medicine; Cambridge University Press: Cambridge, UK, 2001; pp. 97–102.
  56. Trento, M.; Passera, P.; Borgo, E.; Tomalino, M.; Bajardi, M.; Brescianini, A.; Tomelini, M.; Giuliano, S.; Cavallo, F.; Miselli, V.; et al. A 3-Year Prospective Randomized Controlled Clinical Trial of Group Care in Type 1 Diabetes. Nutr. Metab. Cardiovasc. Dis. 2005, 15, 293–301.
  57. Vaux, A. Social Support: Theory, Research, and Intervention; Praeger Publishers: Chicago, IL, USA, 1998.
  58. D’Zurilla, T.J.; Nezu, A.M. Development and Preliminary Evaluation of the Social Problem-Solving Inventory. Psychol. Assess. 1990, 2, 156–163.
  59. Lusk, S.L. Health Promotion Planning: An Educational and Environmental Approach. Patient Educ. Couns. 1992, 19, 298.
  60. Fisher, W.A.; Fisher, J.D.; Harman, J. The Information-Motivation-Behavioral Skills Model: A General Social Psychological Approach to Understanding and Promoting Health Behavior. In Social Psychological Foundations of Health and Illness; Blackwell Publishing Ltd: Malden, MA, USA, 2003; pp. 82–106.
  61. Fransen, J.; Pion, J.; Vandendriessche, J.; Vandorpe, B.; Vaeyens, R.; Lenoir, M.; Philippaerts, R.M. Differences in Physical Fitness and Gross Motor Coordination in Boys Aged 6–12 Years Specializing in One versus Sampling More than One Sport. J. Sports Sci. 2012, 30, 379–386.
  62. Stewart, M. Towards a Global Definition of Patient Centred Care. BMJ 2001, 322, 444–445.
  63. Lindblad, S.; Ernestam, S.; Van Citters, A.D.; Lind, C.; Morgan, T.S.; Nelson, E.C. Creating a Culture of Health: Evolving Healthcare Systems and Patient Engagement. QJM Int. J. Med. 2017, 110, 125–129.
  64. Freeman, K.; Hanlon, M.; Denslow, S.; Hooper, V. Patient Engagement in Type 2 Diabetes: A Collaborative Community Health Initiative. Diabetes Educ. 2018, 44, 395–404.
  65. Pinheiro, P. Future Avenues for Health Literacy: Learning from Literacy and Literacy Learning. In International Handbook of Health Literacy. Research, Practice and Policy across the Lifespan; Okan, O., Bauer, U., Levin-Zamir, D., Pinheiro, P., Sørensen, K., Eds.; Policy Press: Bristol, UK, 2019; pp. 555–572.
  66. Berkowitz, S.A.; Eisenstat, S.A.; Barnard, L.S.; Wexler, D.J. Multidisciplinary Coordinated Care for Type 2 Diabetes: A Qualitative Analysis of Patient Perspectives. Prim. Care Diabetes 2018, 12, 218–223.
  67. Pascucci, D.; Sassano, M.; Nurchis, M.C.; Cicconi, M.; Acampora, A.; Park, D.; Morano, C.; Damiani, G. Impact of Interprofessional Collaboration on Chronic Disease Management: Findings from a Systematic Review of Clinical Trial and Meta-Analysis. Health Policy 2021, 125, 191–202.
  68. Tanaka, H.; Medeiros, G.; Giglio, A. Multidisciplinary Teams: Perceptions of Professionals and Oncological Patients. Rev. Assoc. Med. Bras. 2020, 66, 419–423.
  69. D’amour, D.; Oandasan, I. Interprofessionality as the Field of Interprofessional Practice and Interprofessional Education: An Emerging Concept. J. Interprof. Care 2005, 19 (Suppl. 1), 8–20.
  70. Bodenheimer, T.; Sinsky, C. From Triple to Quadruple Aim: Care of the Patient Requires Care of the Provider. Ann. Fam. Med. 2014, 12, 573–576.
  71. Rothman, R.L. Influence of Patient Literacy on the Effectiveness of a Primary Care–Based Diabetes Disease Management Program. JAMA 2004, 292, 1711.
  72. Hunt, C.W. Technology and Diabetes Self-Management: An Integrative Review. World J. Diabetes 2015, 6, 225.
  73. Thornton, J. Clinicians Are Leading Service Reconfiguration to Cope with Covid-19. BMJ 2020, 369, m1444.
  74. Jaly, I.; Iyengar, K.; Bahl, S.; Hughes, T.; Vaishya, R. Redefining Diabetic Foot Disease Management Service during COVID-19 Pandemic. Diabetes Metab. Syndr. Clin. Res. Rev. 2020, 14, 833–838.
  75. Chrvala, C.A.; Sherr, D.; Lipman, R.D. Diabetes Self-Management Education for Adults with Type 2 Diabetes Mellitus: A Systematic Review of the Effect on Glycemic Control. Patient Educ. Couns. 2016, 99, 926–943.
  76. Renwick, K.; Powell, L.J. Focusing on the Literacy in Food Literacy: Practice, Community, and Food Sovereignty. J. Fam. Consum. Sci. 2019, 111, 24–30.
More
© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.
This entry is offline, you can click here to edit this entry!
ScholarVision Creations
Feedback