Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease—A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Search Methods
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- Population-related terms: “diabetes mellitus type 2”, “diabetes mellitus II”, “type 2 diabetic patients”, “patients with T2DM”, “patients diagnosed within the last 0–5 years”;
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- Intervention-related terms: “educational intervention”, “diabetes self-management education program evaluation”, “diabetes self-management program effectiveness”, “diabetes self-care education”, and “lifestyle intervention”;
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- Comparator/control-related terms: “assessing changes in the intervention group (IG) and control group (CG)” and “evaluating changes in IG (intervention group) and CG (control group)”;
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- Outcome-related terms: “assessment”, “evaluation”, “examination”, “measurement”.
2.3. Data Extraction
2.4. Synthesis of the Results
3. Results
3.1. Overview of the Studies
3.2. Impacts of Educational Interventions on Biomedical Results
3.2.1. The Impacts of Educational Interventions on HbA1c Levels (Table 5)
Studies’ General Information | Pre-Intervention | Post-Intervention | Change | Absolute Effect | |||
---|---|---|---|---|---|---|---|
IG | CG | IG | CG | IG | CG | ||
Effect of educational intervention on HbA1c | |||||||
[22] | 8.44 ± 2.28 | 8.95 ± 2.34 | 6.92 ± 1.27 * | 7.82 ± 12.98 *# | −1.52 $ | −1.13 | −0.39 |
[23] | 7.20 (6.40, 9.10) | 7.90 (6.80, 10.30) | 6.20 (5.80, 6.60) * | 6.70 (6.40, 7.30) * | −1 ** | −1.2 | +0.2 |
[26] | 6.66 ± 1.09 | 6.86 ± 1.34 | 5.85 ± 0.37 * | 6.97 ± 1.18 | −0.81 ** | +0.11 | −0.70 |
[27] | 9.82 ± 2.47 | 9.05 ± 2.32 | 6.76 ± 0.50 * | 7.25 ± 0.98 * | −3.03 ** | −1.8 | −1.23 |
[28] | 9.5 ± 2.1 | 9.5 ± 2.0 | 7.4 ± 1.5 * | 9.5 ± 2.1 | −2.1 ** | 0 | −2.1 |
[30] | 5.95 ± 0.47 | 5.95 ± 0.47 | 5.14 ± 0.36 * | 5.85 ± 0.37 * | −0.81 ** | −0.1 | −0.71 |
[32] | 6.5 (6.2–7.0) | 6.6 (6.3–7.1) | 6.6 (6.3–7.1) | 6.7 (6.3–7.1) | +0.1 *# | +0.1 | 0 |
[34] | 7.2 (6.6–9.2) | 6.7 (6.4–7.5) | 6.2 (5.8–6.7) * | 6.4 (5.8–6.8) | −1 $ | −0.3 | −0.7 |
[35] | 7.77 ± 2.22 | No control group | 7.16 ± 1.62 | No control group | −0.61 *# | − | −0.61 |
[36] | 7.85 ± 1.19 | 7.32 ± 1.23 | 6.66 ± 0.84 * | 6.95 ± 1.31 | −1.19 ** | −0.37 | −0.82 |
[37] | 8.0 (1.6) | - | 6.2 (1.1) * | - | −1.8 *# | − | −1.6 ± 0.5 |
[40] | 9.1 ± 2.3 | - | 7.4 ± 1.3 * | - | −1.7 ± 2.5 * | − | −1.7 ± 1 |
Mean ± SD | −1.18 ± 0.21 | −0.277 ± 0.13 | −0.64 ± 0.08 | ||||
Effect of educational intervention on FBG | |||||||
[23] | 8.00 | 8.00 | 6.78 * | 7.70 * | −1.22 $ | −0.3 | −0.92 |
[24] | 8.43 ± 1.25 | 8.51 ± 1.17 | 7.03 ± 1.01 * | 7.68 ± 1.12 | −1.4 ** | −0.83 | −0.57 |
[25] | 9.964 ± 2.707 | 10.490 ± 2.781 | 7.792 ± 0.925 * | 9.042 ± 1.561 | −2.172 ** | −1.448 | −0.72 |
[28] | 10.9 ± 3.6 | 11.5 ± 3.9 | 7.5 ± 2.3 * | 8.4 ± 2.8 * | −3.4 ** | −3.1 | −0.3 |
[32] | 7.4 | 7.3 | 7.9 | 7.5 | +0.5 *# | +0.2 *# | +0.3 |
[38] | 5.75 ± 1.01 | 6.55 ± 1.76 | 5.66 ± 1.20 | 6.73 ± 2.66 | −0.09 *# | +0.18 | 0.27 |
Mean ± SD | −1.656 ± 2.11 | −2.839 ± 2.31 | −0.32 ± 1.16 | ||||
Effect of educational intervention on PBG | |||||||
[23] | 13.29 | 12.67 | 7.90 * | 10.58 * | −5.39 $ | −2.09 | −3.3 |
[24] | 11.21 ± 1.65 | 11.34 ± 1.73 | 9.52 ± 1.05 * | 10.43 ± 1.24 | −1.69 ** | −0.91 | −0.78 |
[25] | 14.612 ± 4.685 | 14.692 ± 4.400 | 9.980 ± 1.446 * | 12.275 ± 2.120 | −4.632 ** | −2.417 | −2.215 |
[28] | 17.1 ± 4.6 | 17.2 ± 4.9 | 12.5 ± 3.3 * | 12.7 ± 3.6 * | −4.6 *# | −4.5 | −0.1 |
Mean ± SD | −4.078 ± 2.35 | −2.479 ± 2.41 | −1.598 ± 0.23 |
3.2.2. The impacts of Educational Interventions on FBG and PBG Values
3.2.3. The Impacts of Educational Interventions on Lipid Profiles
3.2.4. The impacts of Educational Interventions on Anthropometric Parameters
3.2.5. The Impacts of Educational Interventions on Blood Pressures
3.3. The impacts of Educational Interventions on Emotional and Social Results
3.4. The Impacts of Educational Interventions on Behavioral Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- da Silva, J.A.; de Souza, E.C.F.; Böschemeier, A.G.E.; da Costa, C.C.M.; Bezerra, H.S.; Feitosa, E.E.L.C. Diagnosis of diabetes mellitus and living with a chronic condition: Participatory study. BMC Public Health 2018, 18, 699. [Google Scholar] [CrossRef] [PubMed]
- Internationa Diabetes Federation. IDF Atlas, 10th ed.; International Diabetes Federation: Brussels, Belgium, 2021; Available online: https://diabetesatlas.org/atlas/tenth-edition/ (accessed on 10 October 2022).
- Ali, M.K.; Pearson-Stuttard, J.; Selvin, E.; Gregg, E.W. Interpreting global trends in type 2 diabetes complications and mortality. Diabetologia 2022, 65, 3–13. [Google Scholar] [CrossRef] [PubMed]
- Chatterjee, S.; Khunti, K.; Davies, M.J. Type 2 diabetes. Lancet 2017, 389, 2239–2251. [Google Scholar] [CrossRef]
- Misra, A.; Gopalan, H.; Jayawardena, R.; Hills, A.P.; Soares, M.; Reza-Albarrán, A.A.; Ramaiya, K.L. Diabetes in developing countries. J. Diabetes 2019, 11, 522–539. [Google Scholar] [CrossRef]
- WHO. Global Report on Diabetes; World Health Organization: Geneva, Switzerland, 2016; Available online: https://iris.who.int/bitstream/handle/10665/204871/9789241565257_eng.pdf?sequence=1 (accessed on 19 October 2022).
- Rodriguez-Gutierrez, R.; Gionfriddo, M.R.; Ospina, N.S.; Maraka, S.; Tamhane, S.; Montori, V.M.; Brito, J.P. Shared decision making in endocrinology: Present and future directions. Lancet Diabetes Endocrinol. 2016, 4, 706–716. [Google Scholar] [CrossRef] [PubMed]
- Masuo, K. Lifestyle Modification Is the First Line Treatment for Type 2 Diabetes. In Type 2 Diabetes; Masuo, K., Ed.; InTech: Houston, TX, USA, 2013. [Google Scholar] [CrossRef]
- Cheng, A.Y.Y.; Fantus, I.G. Oral antihyperglycemic therapy for type 2 diabetes mellitus. CMAJ 2005, 172, 213–226. [Google Scholar] [CrossRef] [PubMed]
- Hanefeld, M.; Fleischmann, H.; Siegmund, T.; Seufert, J. Rationale for Timely Insulin Therapy in Type 2 Diabetes Within the Framework of Individualised Treatment: 2020 Update. Diabetes Ther. 2020, 11, 1645–1666. [Google Scholar] [CrossRef] [PubMed]
- Adu, M.D.; Malabu, U.H.; Malau-Aduli, A.E.O.; Malau-Aduli, B.S. Enablers and barriers to effective diabetes self-management: A multi-national investigation. PLoS ONE 2019, 14, e0217771. [Google Scholar] [CrossRef] [PubMed]
- Powers, M.A.; Bardsley, J.K.; Cypress, M.; Funnell, M.M.; Harms, D.; Hess-Fischl, A.; Hooks, B.; Isaacs, D.; Mandel, E.D.; Maryniuk, M.D.; et al. Diabetes Self-management Education and Support in Adults with Type 2 Diabetes: A Consensus Report of the American Diabetes Association, the Association of Diabetes Care & Education Specialists, the Academy of Nutrition and Dietetics, the American Academy of Family Physicians, the American Academy of PAs, the American Association of Nurse Practitioners, and the American Pharmacists Association. Diabetes Care 2020, 43, 1636–1649. [Google Scholar] [CrossRef]
- Brunisholz, K.D.; Briot, P.; Hamilton, S.; Joy, E.; Lomax, M.; Barton, N.; Cunningham, R.; Cannon, W.; Savitz, L. Diabetes self-management education improves quality of care and clinical outcomes determined by a diabetes bundle measure. J. Multidiscip. Healthc. 2014, 7, 533–542. [Google Scholar] [CrossRef]
- Ernawati, U.; Wihastuti, T.A.; Utami, Y.W. Effectiveness of diabetes self-management education (DSME) in type 2 diabetes mellitus (T2DM) patients: Systematic literature review. J. Public Health Res. 2021, 10, 2240. [Google Scholar] [CrossRef] [PubMed]
- Taheri, S.; Zaghloul, H.; Chagoury, O.; Elhadad, S.; Ahmed, S.H.; El Khatib, N.; Amona, R.A.; El Nahas, K.; Suleiman, N.; Alnaama, A.; et al. Effect of intensive lifestyle intervention on bodyweight and glycaemia in early type 2 diabetes (DIADEM-I): An open-label, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2020, 8, 477–489. [Google Scholar] [CrossRef] [PubMed]
- Yoshida, Y.; Hong, D.; Nauman, E.; Price-Haywood, E.G.; Bazzano, A.N.; Stoecker, C.; Hu, G.; Shen, Y.; Katzmarzyk, P.T.; Fonseca, V.A.; et al. Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana. BMJ Open Diabetes Res. Care 2021, 9 (Suppl. S1), e002136. [Google Scholar] [CrossRef] [PubMed]
- Powers, M.A.; Bardsley, J.; Cypress, M.; Duker, P.; Funnell, M.M.; Fischl, A.H.; Maryniuk, M.D.; Siminerio, L.; Vivian, E. Diabetes Self-management Education and Support in Type 2 Diabetes: A Joint Position Statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. Clin. Diabetes 2016, 34, 70–80. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, A.L.; Sepulveda, E.; Angulo, M. It Feels Good to Know That Someone Cares. Hisp. Health Care Int. 2017, 15, 52–57. [Google Scholar] [CrossRef] [PubMed]
- Tanaka, R.; Shibayama, T.; Sugimoto, K.; Hidaka, K. Diabetes self-management education and support for adults with newly diagnosed type 2 diabetes mellitus: A systematic review and meta-analysis of randomized controlled trials. Diabetes Res. Clin. Pract. 2020, 169, 108480. [Google Scholar] [CrossRef] [PubMed]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, 71. [Google Scholar] [CrossRef] [PubMed]
- Higgins, J.P.T.; Altman, D.G.; Gøtzsche, P.C.; Jüni, P.; Moher, D.; Oxman, A.D.; Savović, J.; Schulz, K.F.; Weeks, L.; Sterne, J.A.C.; et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 2011, 343, d5928. [Google Scholar] [CrossRef]
- Chao, D.Y.; Lin, T.M.; Ma, W.-Y. Enhanced Self-Efficacy and Behavioral Changes Among Patients with Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service. JMIR Diabetes 2019, 4, e11017. [Google Scholar] [CrossRef]
- Chai, S.; Yao, B.; Xu, L.; Wang, D.; Sun, J.; Yuan, N.; Zhang, X.; Ji, L. The effect of diabetes self-management education on psychological status and blood glucose in newly diagnosed patients with diabetes type 2. Patient Educ. Couns. 2018, 101, 1427–1432. [Google Scholar] [CrossRef]
- Jiang, X.-J. Influence of Orem’s self-care theory based “one-to-one” health education on self-management ability and quality of life in patients with newly diagnosed type 2 diabetes. WCJD 2018, 26, 282. [Google Scholar] [CrossRef]
- Wei, L.; Wang, J.; Li, Z.; Zhang, Y.; Gao, Y. Design and implementation of an Omaha System-based integrated nursing management model for patients with newly-diagnosed diabetes. Prim. Care Diabetes 2019, 13, 142–149. [Google Scholar] [CrossRef] [PubMed]
- Yu, X.; Chau, J.P.C.; Huo, L.; Li, X.; Wang, D.; Wu, H.; Zhang, Y. The effects of a nurse-led integrative medicine-based structured education program on self-management behaviors among individuals with newly diagnosed type 2 diabetes: A randomized controlled trial. BMC Nurs. 2022, 21, 217. [Google Scholar] [CrossRef]
- Hao, Y.; Xu, H. A Prospective Cohort Study on the Management of Young Patients with Newly Diagnosed Type 2 Diabetes Using Mobile Medical Applications. Diabetes Ther. 2018, 9, 2099–2106. [Google Scholar] [CrossRef] [PubMed]
- Vinitha, R.; Nanditha, A.; Snehalatha, C.; Satheesh, K.; Susairaj, P.; Raghavan, A.; Ramachandran, A. Effectiveness of mobile phone text messaging in improving glycaemic control among persons with newly detected type 2 diabetes. Diabetes Res. Clin. Pract. 2019, 158, 107919. [Google Scholar] [CrossRef] [PubMed]
- Parmar, V.S.; Patel, S.V.; Iyer, C.C. Effect of Counseling on Newly Diagnosed Type 2 Diabetes Mellitus Patients Visiting a Tertiary Care Hospital: A Randomized Control Trial. Indian J. Community Med. 2018, 43, 244–245. [Google Scholar] [CrossRef]
- Kour, H.; Kothiwale, V.; Goudar, S. Impact of structured exercise therapy on impaired cognitive function among young adults diagnosed newly with type 2 diabetes mellitus—A randomized controlled trial. Med. J. Dr. DY Patil Vidyapeeth 2020, 13, 341. [Google Scholar] [CrossRef]
- Patnaik, L.; Panigrahi, S.K.; Sahoo, A.K.; Mishra, D.; Muduli, A.K.; Beura, S. Effectiveness of Mobile Application for Promotion of Physical Activity Among Newly Diagnosed Patients of Type II Diabetes—A Randomized Controlled Trial. Int. J. Prev. Med. 2022, 13, 54. [Google Scholar] [PubMed]
- Vos, R.C.; van Heusden, L.; Eikelenboom, N.W.D.; Rutten, G.E.H.M. Theory-based diabetes self-management education with pre-selection of participants: A randomized controlled trial with 2.5 years’ follow-up (ELDES Study). Diabet. Med. 2019, 36, 827–835. [Google Scholar] [CrossRef]
- van Puffelen, A.L.; Rijken, M.; Heijmans, M.J.W.M.; Nijpels, G.; Schellevis, F.G.; Diacourse Study Group. Effectiveness of a self-management support program for type 2 diabetes patients in the first years of illness: Results from a randomized controlled trial. PLoS ONE 2019, 14, e0218242. [Google Scholar] [CrossRef]
- Colungo, C.; Liroz, M.; Jansà, M.; Blat, E.; Herranz, M.C.; Vidal, M.; García, E.; Gómez, M.; Esmatjes, E.; Ortega, E. Health care and therapeutic education program for newly diagnosed type 2 diabetes: A new approach in primary care. Endocrinol. Diabetes Nutr. Engl. Ed. 2018, 65, 486–499. [Google Scholar] [CrossRef] [PubMed]
- Hernández-Jiménez, S.; García-Ulloa, A.C.; Bello-Chavolla, O.Y.; Aguilar-Salinas, C.A.; Kershenobich-Stalnikowitz, D.; Group of Study CAIPaDi. Long-term effectiveness of a type 2 diabetes comprehensive care program. The CAIPaDi model. Diabetes Res. Clin. Pract. 2019, 151, 128–137. [Google Scholar] [CrossRef] [PubMed]
- Brusadelli, E.; Tomasich, A.; Bruno, S.; Romanazzi, A.; Dagani, R.; Porcelli, P. Effects of Psychological Intervention in Glycemic Control of Patients with Type 2 Diabetes in Integrated Primary Care Setting. Psychother. Psychosom. 2018, 87, 124–125. [Google Scholar] [CrossRef] [PubMed]
- Oser, T.K.; Cucuzzella, M.; Stasinopoulos, M.; Moncrief, M.; McCall, A.; Cox, D.J. An Innovative, Paradigm-Shifting Lifestyle Intervention to Reduce Glucose Excursions with the Use of Continuous Glucose Monitoring to Educate, Motivate, and Activate Adults with Newly Diagnosed Type 2 Diabetes: Pilot Feasibility Study. JMIR Diabetes 2022, 7, e34465. [Google Scholar] [CrossRef]
- Bailey, D.P.; Mugridge, L.H.; Dong, F.; Zhang, X.; Chater, A.M. Randomised Controlled Feasibility Study of the MyHealthAvatar-Diabetes Smartphone App for Reducing Prolonged Sitting Time in Type 2 Diabetes Mellitus. Int. J. Environ. Res. Public Health 2020, 17, 4414. [Google Scholar] [CrossRef] [PubMed]
- Zaharia, O.P.; Kupriyanova, Y.; Karusheva, Y.; Markgraf, D.F.; Kantartzis, K.; Birkenfeld, A.L.; Trenell, M.; Sahasranaman, A.; Cheyette, C.; Kössler, T.; et al. Improving insulin sensitivity, liver steatosis and fibrosis in type 2 diabetes by a food-based digital education-assisted lifestyle intervention program: A feasibility study. Eur. J. Nutr. 2021, 60, 3811–3818. [Google Scholar] [CrossRef] [PubMed]
- Yahia, N.; Khoury, M.; Salloum, T.; Younes, R.; Saleh, M.; Myers, E. Implementing Evidence-Based Nutrition Practice Guidelines for Type 2 Diabetes Mellitus in Lebanon. Top. Clin. Nutr. 2017, 32, 316–329. [Google Scholar] [CrossRef]
- Mikhael, E.M.; Hassali, M.A.; Hussain, S.A. Effectiveness of Diabetes Self-Management Educational Programs for Type 2 Diabetes Mellitus Patients in Middle East Countries: A Systematic Review. Diabetes Metab. Syndr. Obes. 2020, 13, 117–138. [Google Scholar] [CrossRef]
- Chester, B.; Stanely, W.G.; Geetha, T. Quick guide to type 2 diabetes self-management education: Creating an interdisciplinary diabetes management team. Diabetes Metab. Syndr. Obes. 2018, 11, 641–645. [Google Scholar] [CrossRef]
- Katangwe, T.; Bhattacharya, D.; Twigg, M.J. A systematic review exploring characteristics of lifestyle modification interventions in newly diagnosed type 2 diabetes for delivery in community pharmacy. Int. J. Pharm. Pract. 2019, 27, 3–16. [Google Scholar] [CrossRef]
- Odgers-Jewell, K.; Ball, L.E.; Kelly, J.T.; Isenring, E.A.; Reidlinger, D.P.; Thomas, R. Effectiveness of group-based self-management education for individuals with Type 2 diabetes: A systematic review with meta-analyses and meta-regression. Diabet. Med. 2017, 34, 1027–1039. [Google Scholar] [CrossRef] [PubMed]
- Davies, M.J.; Ball, L.E.; Kelly, J.T.; Isenring, E.A.; Reidlinger, D.P.; Thomas, R. Effectiveness of the diabetes education and self-management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: Cluster randomised controlled trial. BMJ 2008, 336, 491–495. [Google Scholar] [CrossRef] [PubMed]
- American Diabetes Association. Standards of Medical Care in Diabetes-2022 Abridged for Primary Care Providers. Clin. Diabetes 2022, 40, 10–38. [Google Scholar] [CrossRef] [PubMed]
Inclusion Criteria | Exclusion Criteria | |
---|---|---|
Publication Date | January 2017–November 2022 | <2017 |
Study Design | RCTs 1 and non-randomized controlled studies, intervention studies, and cohort studies | Nonintervention studies 2 |
Population | Adults ≥ 18 years old, diabetic patients Patients at the early stages of the disease 3 ≤5 years from diagnosis with an oral hypoglycemic agent and lifestyle intervention | Children, not newly diagnosed T2DM patients ≥5 years from diagnosis with type 2 diabetes |
Intervention | Different interventions are used for health education. Face-to-face intervention -Online intervention No changes in medication treatment during the study | Drug-based intervention with changes in medication treatment |
Control Group | Standard care, routine care if it is present | |
Effectiveness Assessment | Biomedical results Behavioral results Emotional and social results |
Studies’ General Information | Random Sequence Generation | Allocation Concealment | Blinding of Participants and Personnel | Blinding of Outcome Assessment | Incomplete Outcome Data | Selective Reporting | Other Biases | Study Quality |
---|---|---|---|---|---|---|---|---|
[22] (2019) China | + | + | − | ? | + | ? | + | Fair |
[23] (2018) China | ? | ? | − | ? | + | + | + | Poor |
[24] (2018) China | + | ? | ? | ? | + | ? | + | Poor |
[25] (2019) China | − | ? | ? | + | + | + | − | Poor |
[26] (2022) China | + | + | + | + | + | + | ? | Fair |
[27] (2018) China | − | ? | ? | + | + | + | ? | Poor |
[28] (2019) India | + | + | + | + | + | + | + | Fair |
[29] (2018) India | ? | + | − | ? | + | − | + | Poor |
[30] (2020) India | + | + | ? | ? | + | + | ? | Fair |
[31] (2022) India | + | + | ? | ? | + | + | + | Fair |
[32] (2019) Netherlands | + | + | − | ? | + | + | + | Fair |
[33] (2019) Netherlands | + | + | − | ? | + | + | + | Fair |
[34] (2018) Spain | − | ? | ? | + | − | + | − | Poor |
[35] (2019) Mexico | − | − | − | ? | + | + | No control group | Poor |
[36] (2018) Italy | ? | ? | ? | ? | + | + | ? | Poor |
[37] (2022) USA | ? | ? | ? | ? | + | + | No control group | Poor |
[38] (2020) UK | + | + | + | ? | + | + | ? | Fair |
[39] (2021) Germany | − | ? | ? | ? | + | + | No control group | Poor |
[40] (2017) Lebanon | − | ? | ? | ? | + | + | No control group | Poor |
Studies’ General Information | Total Number of Participants/Numbers of Participants in Intervention Group/Control Group | Demographic Characteristics | Significant Baseline Differences between Groups | Duration of Diabetes Diagnosis | Setting(s) |
---|---|---|---|---|---|
[22] (2019) China | 97 participants IG: 49 CG: 48 | Average age: 63.71 years | No significant differences between groups | Diagnosis received within the prior 3 months | Outpatient ward |
[23] (2018) China | 118 participants IG: 63 CG: 55 | Mean age: 54 ± 11.5 | No significant differences between groups | Newly diagnosed T2DM | Outpatients and inpatients |
[24] (2018) China | 106 patients IG: 53 CG: 53 | Mean age: 58.62 ± 15.74 years old | No significant difference between groups | 1.24 years ± 0.35 years | Hospitalized patients |
[25] (2019) China | 358 participants IG: 179 CG: 179 | Mean age of 50.1 ± 9.1 years | No significant difference between the two groups (p > 0.05) | Newly diagnosed T2DM | Outpatient ward |
[26] (2022) China | 128 participants IG: 64 CG: 64 | Average age: 57.43 years, and 41.4% were female | No significant differences between groups | Newly diagnosed T2DM (Diagnosed in the preceding 3 to 9 months) | Primary healthcare services |
[27] (2018) China | 126 participants IG: 66 CG: 60 | Mean age: 32.71 ± 5.69 | No significant differences between groups | Newly diagnosed T2DM (Duration < 6 months) | Outpatients |
[28] (2019) India | 248 participants IG: 126 CG: 122 | The mean age was 43 ± 8.7 years, and 32.3% were women. | No significant differences between groups | Newly diagnosed T2DM | Outpatient ward |
[29] (2018) India | 96 participants IG: 48 CG: 48 | The age group was from 25 to 65 years. | Not clear | Newly diagnosed T2DM | Medical outpatient ward |
[30] (2020) India | 136 participants IG: 66 CG: 70 | Mean ages (IG: 37.2 ± 4.09 and CG: 37.55 ± 4.29); 41.89% were female | Not clear | Newly diagnosed T2DM | Medical outpatient ward |
[31] (2022) India | 66 participants IG = 33 CG = 33 | Mean age: 42.29 ± 9.5; 66.66% Male | No significant differences between groups | Newly diagnosed T2DM (Within 3 months of diagnosis) | Endocrinology outpatient ward |
[32] (2019) Netherlands | 108 participants IG: 56 CG: 52 | Mean age: 62.3 ± 7.8 | There were some differences between groups in the prevalence of diabetes-related complications. | Newly diagnosed T2DM (Diabetes duration from 3 months to 5 years) | Outpatient ward |
[33] (2019) Netherlands | 137 participants IG: 62 CG: 75 | Mean age: 63.6 (10.2) | No significant differences between groups | Newly diagnosed T2DM (Diabetes duration 1–3 years) | Outpatients |
[34](2018) Spain | 271 participants IG: 134 CG: 137 | IG 65.6 ± 10.6 CG 67.5 ± 13.5 | Not clear | Newly diagnosed T2DM, 1 year after diagnosis | Primary health centers |
[35] (2019) Mexico | 288 patients who had followed the program No control group | The mean age was 51.1 ± 10.3 years, and 56.2% were women. | Not clear | ≤5 years after diagnosis with T2DM | Outpatient ward |
[36] (2018) Italy | 95 participants IG: 47 CG: 48 | Mean age: 58.43 ± 7.34 | No significant differences between groups | Newly diagnosed T2DM (Diagnosed within the previous 12 months) | Outpatient ward |
[37] (2022) USA | 17 participants No control group | Mean age: 52 years | Not clear | Newly diagnosed T2DM (Diagnosed within the past 12 months) | Outpatients |
[38] (2020) UK | 18 participants IG: 9 CG: 9 | Mean age: 56 (6.5); F/M: 50%/50% | No significant differences between groups | Newly diagnosed T2DM (Diagnosed within the past 4 years | Outpatients |
[39] (2021) Germany | 24 participants No control group | Mean age: 56 (6.5); F 58% | - | Newly diagnosed T2DM (Diabetes duration < 4 years) | Outpatients |
[40] (2017) Lebanon | 75 participants No control group | Mean age: 55 ± 10.7; 552% Female | - | Newly diagnosed T2DM | Diabetes outpatient clinics |
Studies’ General Information | Type of Study | Type of Intervention | Follow-up Period | Characteristics of Educational Interventions | Theoretical Basis | Assessed Outcomes | ||||
---|---|---|---|---|---|---|---|---|---|---|
Educational Sessions, Duration | Delivery | Provider | Covered Self-Care Topics | Supporting Strategy | ||||||
[22] (2019) China | Experimental design/RCTs | Health promotion–multi-intervention program Individual intervention | 18 months | Different return visit times for each patient Mobile application | Face-to-face and online | Team | General information for diabetes Self-care | Mobile and tablets | AADE 7 Self-Care Behaviors program | Biomedical outcomes Psychosocial outcomes |
[23] (2018) China | Experimental design | Education program–multi-intervention program Group education | 6 months | 2 lecture sessions and interactive sessions | Face-to-face | Nurses | General information for diabetes Self-care | Lecturing, audio-visual, and discussion approach | Problem-based learning | Biomedical outcomes Psychosocial outcomes |
[24] (2018) China | Intervention study | Education program–multi-intervention program Group education “One-to-one” health education | 3 months | Not clear | Face-to- face | Nurses | General information for diabetes Self-care | none | Orem’s self-care theory | Biomedical outcomes Psychosocial outcomes |
[25] (2019) China | Non-randomized controlled study | Implementation of a model Group education | 6 months | The first education was outpatient education. Follow-up telephone visits | Face-to-face and phone call visits | Team | General information for diabetes Self-care | Learning manual, video tutorials, phone calls, diabetes clubs, meetings | Omaha System-based integrated nursing management model | Biomedical outcomes Psychosocial outcomes |
[26] (2022) China | RTCs | Multi-intervention program Group education | 12 weeks | 8 interactive educational sessions | Face-to-face | Nurses | General information for diabetes Self-care | Handbook and PowerPoint slides | Health belief model and Self-efficacy theory | Biomedical outcomes Psychosocial outcomes Behavioral outcomes |
[27] (2018) China | Prospective cohort study | Education program–multi-intervention program Individual intervention Mobile application | 24 weeks | Use of the medical app to assist in doctor–patient communication, | Online | Physician | General information for diabetes Self-care | Use of other functions of the app software | None | Biomedical outcomes |
[28] (2019) India | RCTs | Education program–multi-intervention program Individual intervention | 24 months | Advice from 2–3 educatory text messages per week | Text message Face-to-face | Physicians | General information for diabetes Self-care | None | None | Biomedical outcomes Psychosocial outcomes Behavioral outcomes |
[29] (2018) India | RCTs | Education program–multi-intervention program Group intervention | 4 months | 1 session for 7–15 min | Face-to-face | Not clear | General information for diabetes Self-care | Video leaflets | None | Psychosocial outcomes |
[30] (2020) India | RCTs | Structured exercise therapy Individual intervention | 6 months | Aerobic exercise | Face-to-face | Physicians | Role of specific exercise | Booklets | None | Biomedical outcomes |
[31] (2022) India | RCTs | Physical promotion Individual intervention | 12 months | Contacted by phone at 3-month intervals | Calls and face-to-face | Not clear | Role of physical activity | No information | None | Biomedical outcomes Behavioral outcomes |
[32] (2019) Netherlands | RCTs | Education program–multi-intervention program Individual and group intervention | 30 months | two individual and five group sessions | Face-to-face | Nurses | General information for diabetes Self-care | Telephone consultation, | None | Biomedical outcomes Psychosocial outcomes Behavioral outcomes |
[33] (2019) Netherlands | RCTs | Education program–multi-intervention program Group intervention | 8 months | Three monthly 2-h interactive sessions and one booster session | Face-to-face | Nurses | Illness perceptions | Workbook for both patients and partners. | None | Psychosocial outcomes Behavioral outcomes |
[34] (2018) Spain | Prospective study | PAET-Debut DM2 Standardized group education Group education | 12 months | Three phases | Face-to-face | Team | General information for diabetes Self-care | Standardized materials | AISBE group for chronic diabetes disease | Biomedical outcomes Psychosocial outcomes Behavioral outcomes |
[35] (2019) Mexico | Program evaluation study | Implementation of the CAIPadi model Individual intervention | 24 months | Intervention visits and two follow-up visits (12 and 24 months) | Face-to-face | Team | General information for diabetes Self-care | Support in distance system webpage | CAIPaDi program | Biomedical outcomes Psychosocial outcomes Behavioral outcomes |
[36] (2018) Italy | Intervention study | Psychological intervention Group intervention | 12 months | 90 min biweekly group sessions over 3 months | Face-to-face | Clinical psychologist | General information for diabetes Self-care | None | No | Biomedical outcomes |
[37] (2022) USA | Intervention study | Education program–multi-intervention program Individual intervention | 6-week intervention and 3-month follow-up | Four sessions | Face-to-face | Not clear | Role of foods and physical activity | The GEM pocket guide; Text messages | None | Biomedical outcomes Psychosocial outcomes Behavioral outcomes |
[38] (2020) UK | RCTs | Education program–multi-intervention program Individual intervention | 8 weeks | Participants received two text messages per week | Online | Not clear | Behavioral change | Use of a mobile application | Theory of planned behavior | Behavioral outcomes |
[39] (2021) Germany | Intervention study | Food-based digital education Individual intervention Mobile application | 12 weeks | During the weekly coaching calls | Online | Trained nutritionist | Structured behavioral change Role of a healthy diet | Recipe book | None | Biomedical outcomes |
[40] (2017) Lebanon | Descriptive pre-/poststudy | Food education Individual intervention Mobile platform | 12 months | 5 visits | Face-to-face and online | Six Lebanese dietitians | General information for diabetes Self-care | No information | Academy of Nutrition and Dietetics EBNPGs | Biomedical outcome Behavioral outcomes |
Studies’ General Information | Pre-Intervention | Post-Intervention | Change | Absolute Effect | |||
---|---|---|---|---|---|---|---|
IG | CG | IG | CG | IG | CG | ||
Effect of educational intervention on weight | |||||||
[22] | 67.86 ± 16.84 | 66.67 ± 17.28 | 57.5 ± 15.33 * | 65.65 ± 16.98 | −10.36 ** | −1.02 | −9.34 |
[31] | 71.47 ± 11.43 | 71.47 ± 11.43 | 69.27 ± 13.88 | 71.20 ± 12.76 | −2.2 | −0.27 | −1.93 |
[32] | 88.2 ± 16.2 | 87.7 ± 15.4 | 86.6 ± 16.1 | 86.7 ± 14.1 | −1.6 | −1 | −0.6 |
[38] | 89.60 ± 20.3 | 90.2 ± 19.9 | 90 ± 21.7 | 90.5 ± 19.2 | +0.4 | +0.3 | +0.1 |
[39] | 97.0 ± 13.9 | - | 87.7 ± 12.1 * | - | −9.3 | −9.3 | |
Mean ± SD | −4.6 | −0.49 | −2.94 | ||||
Effect of educational intervention on BMI | |||||||
[22] | 25.47 (3.31) | 25.29 (3.25) | 25.28 (2.93) | 24.94 (2.89) | −0.19 | −0.35 | −0.16 |
[23] | 25.70 ± 3.38 | 25.06 ± 3.38 | 25.16 ± 3.38 | 25.28 ± 3.47 | −0.54 | +0.02 | −0.56 |
[27] | 26.27 ± 4.64 | 25.52 ± 4.76 | 25.68 ± 4.21 | 25.48 ± 4.65 | −0.59 | −0.04 | −0.55 |
[31] | 27.73 ± 5.14 | 26.80 ± 2.76 | 26.97 ± 5.04 | 26.66 ± 3.18 | −0.76 | −0.14 | −0.62 |
[32] | 29.6 (4.9) | 30.1 (4.5) | 29.2 (4.8) * | 29.6 (4.5) | −0.4 | −0.5 | −0.1 |
[34] | 29.6 (27.2–34.2) | - | 28.8 (25.9–32.6) * | - | −0.8 * | −0.8 | |
[35] | 29.19 ± 4.27 | - | 28.8 ± 4.2 | - | −0.39 | −0.39 | |
[37] | 36.5 (8.1) | - | 34.4 (8.2) | - | −2.1 | −2.1 | |
[38] | 31.1 ± 6.4 | 29.9 ± 4.7 | 31.2 ± 6.9 | 31.2 ± 4.6 | +0.1 | +1.3 | − |
[39] | 32.6 ± 4.6 | - | 29.4 ± 3.9 * | - | −3.2 | −3.2 | |
[40] | 31.7 ± 4.9 | - | 30.6 ± 4.9 * | - | −1.1 ± 2.7 * | −1.1 | |
Mean ± SD | −0.90 | 0.29 | −0.398 |
Blood Pressure/Studies’ General Information | [22] | [23] | [31] | [32] | [34] | [35] | [38] | [40] | Mean ± SD | ||
---|---|---|---|---|---|---|---|---|---|---|---|
SBP | Pre-intervention | IG | 130.24 ± 18.92 | 130.00 | 128.09 ± 10.78 | 132 ± 13 | 130.64 ± 13.5 | 128.9 ± 16.4 | 136.3 ± 17.2 | 131.3 ± 20.4 | |
CG | 128.09 ± 17.36 | 120.00 | 129.48 ± 10.71 | 133 ± 14 | - | - | 134.0 ± 18.1 | ||||
Post-intervention | IG | 131.37 ± 19.12 | 130.00 | 119.15 ± 7.75 | 135 ± 17 | 129.4 ± 14.4 | 120.86 ± 11.83 | 138.2 ± 20.7 | 124.9 ± 9.9 * | ||
CG | 131.15 ± 18.24 | 130.00 | 119.88 ± 7.31 | 135 ± 15 | - | - | 135.6 ± 20.3 | ||||
Change | IG | 1.13 | 0 | −8.94 | 3.0 | 1.24 | −8.04 | 1.9 | −6.4 * | −2.3 ± 6.5 | |
CG | 3.06 | 10.00 | −9.6 | 3 | 1.6 | 1.61 ± 8.10 | |||||
Absolute Effect | - | −0.66 | 0 | - | −8.04 | - | −6.4 * | −0.34 ± 7.9 | |||
DBP | Pre-intervention | IG | 74.99 ± 13.12 | 80.00 | 79.33 ± 8.14 | - | 77.8 ± 9 | 78.4 ± 7.87 | 83.8 ± 9.5 | 81.3 ± 12.5 | |
CG | 76.22 ± 12.11 | 80.00 | 81.24 ± 8.03 | - | - | 83.3 ± 10.7 | |||||
Post-intervention | IG | 75.58 ± 11.04 | 80.00 | 78.15 ± 4.83 | - | 76.4 ± 8.4 | 74.06 ± 6.86 | 82.4 ± 9.8 | 78.1 ± 9.5 | ||
CG | 78.61 ± 12.98 | 85.00 | 78.73 ± 5.78 | - | - | - | 84.3 ± 13.2 | ||||
Change | IG | −0.59 | 0 | 1.18 ± 6.48 | - | −1.4 | 4.34 | −1.3 | −3.1 * | −0.87 ± 4.5 | |
CG | 2.39 | 0.5 | 2.51 ± 6.90 | - | 1.0 | 1.6 ± 5.1 | |||||
Absolute Effect | 3.98 | 0.5 | 1.33 | - | - | 4.34 | 2.3 | -3.1 | 0.36 ± 5.5 |
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Kiçaj, E.; Saliaj, A.; Çerçizaj, R.; Prifti, V.; Qirko, S.; Rogozea, L. Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease—A Systematic Review. Int. J. Environ. Res. Public Health 2024, 21, 522. https://doi.org/10.3390/ijerph21050522
Kiçaj E, Saliaj A, Çerçizaj R, Prifti V, Qirko S, Rogozea L. Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease—A Systematic Review. International Journal of Environmental Research and Public Health. 2024; 21(5):522. https://doi.org/10.3390/ijerph21050522
Chicago/Turabian StyleKiçaj, Emirjona, Aurela Saliaj, Rudina Çerçizaj, Vasilika Prifti, Sonila Qirko, and Liliana Rogozea. 2024. "Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease—A Systematic Review" International Journal of Environmental Research and Public Health 21, no. 5: 522. https://doi.org/10.3390/ijerph21050522
APA StyleKiçaj, E., Saliaj, A., Çerçizaj, R., Prifti, V., Qirko, S., & Rogozea, L. (2024). Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease—A Systematic Review. International Journal of Environmental Research and Public Health, 21(5), 522. https://doi.org/10.3390/ijerph21050522