Chronic Disease Healing plant-based remedies Rural America This fod guide offers the latest news, events, resources, and funding related to diabetes, as well xiabetes a comprehensive overview of related issues.
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Describes different types of diabetes self-management education and support programs available to communities.
Organization s : Centers for Disease Control and Prevention CDC. Diabetes Self-Management Education and Support Website Provides links to resources and tools to help communities develop, promote, implement and sustain diabetes self-management education and support DSMES programs.
Includes a DSMES toolkit, technical assistance guide, policies, reports, and several case studies. Diabetes Self-Management Program DSMP Website Describes the Stanford self-management model, an evidence-based program delivered by certified trainers, designed to improve diabetes self-management practices.
The trainers are non-health professionals who may have diabetes themselves and have completed the master training program.
Includes educational resources that supplement the program curriculum. Organization s : Self-Management Resource Center. My Diabetes Self-Management Goal Document A worksheet helpful to individuals when managing their diabetes and setting personal health goals.
Menu Search. Evidence-based Toolkits FORHP Funded Programs Economic Impact Analysis Tool Community Health Gateway Testing New Approaches Care Management Reimbursement. In this Toolkit Modules 1: Introduction Diabetes Overview Rural Concerns Education and Care 2: Program Models Clinical Partnerships Model Self-Management Model Telehealth Model Community Health Worker Model School Model Faith-Based Model 3: Program Clearinghouse Mariposa Community Health Center Meadows Regional Medical Center Tri-County Health Network St.
Mary's Hospitals and Clinics St. Rural Health Tools for Success Evidence-based Toolkits Rural Diabetes Prevention and Management Toolkit 2: Program Models View more Self-Management Model Diabetes self-management refers to the activities and behaviors an individual undertakes to control and treat their condition.
Diabetes self-management typically occurs in the home and includes: Testing blood sugar glucose Consuming balanced meals and appropriate portion sizes Engaging in regular exercise Drinking water and avoiding dehydration Taking medications as prescribed Adjusting medications as needed Conducting self-foot checks Monitoring other signs or symptoms caused by diabetes People with diabetes can learn self-management skills through diabetes self-management education and support DSMES programs.
Examples of Rural Diabetes Self-Management Programs The Chronic Disease Self-Management Program CDSMP is a small-group workshop designed to address chronic conditions, including diabetes.
Two trained peer facilitators deliver the six-week workshop. The workshop covers health strategies — addressing diet, exercise, and medication use — and teaches techniques for handling the mental and emotional aspects of the condition, managing symptoms, and communicating with healthcare providers.
The University of Virginia Diabetes Tele-Education Program offers diabetes education courses that teach diabetes self-management skills. The program is delivered through video conferencing technology and made available to people who have, or are at high risk for developing, diabetes.
Implementation Considerations It is important that patients understand the benefit of diabetes self-management activities. Program Clearinghouse Examples St.
Luke's Miners Hospital Diabetes Outreach Program Tri-County Health Network Meadows Regional Medical Center Resources to Learn More Diabetes Self-Management Education and Support in Rural America Website An overview of the benefits of diabetes self-management programs. Organization s : Centers for Disease Control and Prevention CDC Diabetes Self-Management Education and Support Website Provides links to resources and tools to help communities develop, promote, implement and sustain diabetes self-management education and support DSMES programs.
Organization s : Centers for Disease Control and Prevention CDC Diabetes Self-Management Program DSMP Website Describes the Stanford self-management model, an evidence-based program delivered by certified trainers, designed to improve diabetes self-management practices.
Organization s : Self-Management Resource Center My Diabetes Self-Management Goal Document A worksheet helpful to individuals when managing their diabetes and setting personal health goals.
: Self-care tools for managing diabetes| Self-Management Model - RHIhub Diabetes Prevention Toolkit | Davis RM, Hitch AD, Salaam MM, Herman WH, Zimmer-Galler IE, Mayer-Davis EJ. TeleHealth improves diabetes self-management in an underserved community: diabetes TeleCare. Fisher N, Ruppert J, Olveda J. Reach More Patients in Less Time the Telehealth Way. Paper presented at: ADCES 15 formerly AADE15, ; New Orleans, LA. Joslin Diabetes Center. More Than Pill Dispensers: How Your Pharmacist Can Help Your Diabetes. Utah Department of Health EPICC Program. Community Health Workers. Position Statement: Community Health Workers in Diabetes Management and Prevention [PDF — KB]. Emerging Practices in Diabetes. Approaches to Increasing Access to and Participation in Diabetes Self-Management Education [PDF — KB]. National Diabetes Education Program. Developing Community-Based Programs for People with Diabetes: An Introduction for Community-Based Organizations. Dall TM, Yang W, Halder P, et al. The economic burden of elevated blood glucose levels in diagnosed and undiagnosed diabetes, gestational diabetes mellitus, and prediabetes. Burke SD, Sherr D, Lipman RD. Partnering with diabetes educators to improve patient outcomes. Diabetes Metab Syndr Obes. Sherr D, Lipman RD. The Diabetes Educator and the Diabetes Self-management Education Engagement: The National Practice Survey. Duncan I, Birkmeyer C, Coughlin S, Li QE, Sherr D, Boren S. Assessing the value of diabetes education. Duncan I, Ahmed T, Li QE, et al. Assessing the value of the diabetes educator. Boren SA, Fitzner KA, Panhalkar PS, Specker JE. Costs and Benefits Associated With Diabetes Education — A Review of the Literature [PDF — KB]. Diabetes Educator. Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults with type 2 diabetes mellitus: A systematic review of the effect on glycemic control. Patient Educ Couns. Norris SL, Lau J, Smith SJ, Schmid CH, Engelgau MM. Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control. Steinsbekk A, Rygg LO, Lisulo M, Rise MB, Fretheim A. Group based diabetes self-management education compared to routine treatment for people with type 2 diabetes mellitus. A systematic review with meta-analysis. BMC Health Serv Res. Leatherman S, Berwick D, Iles D, et al. The business case for quality: case studies and an analysis. Health Aff Millwood. Economic costs of diabetes in the U. in Healy SJ, Black D, Harris C, Lorenz A, Dungan KM. Inpatient diabetes education is associated with less frequent hospital readmission among patients with poor glycemic control. Robbins JM, Thatcher GE, Webb DA, Valdmanis VG. Nutritionist visits, diabetes classes, and hospitalization rates and charges: the Urban Diabetes Study. Brown HS, 3rd, Wilson KJ, Pagan JA, et al. Cost-effectiveness analysis of a community health worker intervention for low-income Hispanic adults with diabetes. Prev Chronic Dis. Tshiananga JK, Kocher S, Weber C, Erny-Albrecht K, Berndt K, Neeser K. The effect of nurse-led diabetes self-management education on glycosylated hemoglobin and cardiovascular risk factors: a meta-analysis. Medicare Shared Savings Program Quality Measure Benchmarks for the and Reporting Years [PDF ]. December Academy of Nutrition and Dietetics. How an RDN Can Help with Diabetes. Rossi MC, Nicolucci A, Di Bartolo P, et al. Diabetes Interactive Diary: a new telemedicine system enabling flexible diet and insulin therapy while improving quality of life: an open-label, international, multicenter, randomized study. Scavone G, Manto A, Pitocco D, et al. Effect of carbohydrate counting and medical nutritional therapy on glycaemic control in Type 1 diabetic subjects: a pilot study. Diabet Med. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes UKPDS UK Prospective Diabetes Study UKPDS Group. Mary's Hospitals and Clinics St. Rural Health Tools for Success Evidence-based Toolkits Rural Diabetes Prevention and Management Toolkit 2: Program Models View more Self-Management Model Diabetes self-management refers to the activities and behaviors an individual undertakes to control and treat their condition. Diabetes self-management typically occurs in the home and includes: Testing blood sugar glucose Consuming balanced meals and appropriate portion sizes Engaging in regular exercise Drinking water and avoiding dehydration Taking medications as prescribed Adjusting medications as needed Conducting self-foot checks Monitoring other signs or symptoms caused by diabetes People with diabetes can learn self-management skills through diabetes self-management education and support DSMES programs. Examples of Rural Diabetes Self-Management Programs The Chronic Disease Self-Management Program CDSMP is a small-group workshop designed to address chronic conditions, including diabetes. Two trained peer facilitators deliver the six-week workshop. The workshop covers health strategies — addressing diet, exercise, and medication use — and teaches techniques for handling the mental and emotional aspects of the condition, managing symptoms, and communicating with healthcare providers. The University of Virginia Diabetes Tele-Education Program offers diabetes education courses that teach diabetes self-management skills. The program is delivered through video conferencing technology and made available to people who have, or are at high risk for developing, diabetes. Implementation Considerations It is important that patients understand the benefit of diabetes self-management activities. Program Clearinghouse Examples St. Luke's Miners Hospital Diabetes Outreach Program Tri-County Health Network Meadows Regional Medical Center Resources to Learn More Diabetes Self-Management Education and Support in Rural America Website An overview of the benefits of diabetes self-management programs. Organization s : Centers for Disease Control and Prevention CDC Diabetes Self-Management Education and Support Website Provides links to resources and tools to help communities develop, promote, implement and sustain diabetes self-management education and support DSMES programs. Organization s : Centers for Disease Control and Prevention CDC Diabetes Self-Management Program DSMP Website Describes the Stanford self-management model, an evidence-based program delivered by certified trainers, designed to improve diabetes self-management practices. Organization s : Self-Management Resource Center My Diabetes Self-Management Goal Document A worksheet helpful to individuals when managing their diabetes and setting personal health goals. Feb 14, accessed Feb 14, Anita Ramesh. Stroop Effect. Apr 21, accessed Apr 21, Follow MedIndia. Self-Care Practices in Diabetes Management Diabetes Mellitus Self-Care Practices Support System FAQs Glossary. Written by Dr. Sreeja Dutta, M. Medically Reviewed by Hannah Joy, M. Facebook Twitter Pinterest Linkedin. What is Diabetes Mellitus? There are three main types of diabetes: Type 1 diabetes - The body does not make insulin and needs to take the sugar glucose from the foods we eat and turn it into energy for our body. Type 2 diabetes - The body does not make or use insulin well. We need to take pills or insulin to help control your diabetes. It is the most common type of diabetes. Gestational diabetes - Some women get this kind of diabetes when they are pregnant. Though it goes away after pregnancy, they have a greater chance of getting diabetes later in life. Published on Aug 14, Last Updated on Aug 14, i Sources Cite this Article. Medindia adheres to strict ethical publishing standards to provide accurate, relevant, and current health content. We source our material from reputable places such as peer-reviewed journals, academic institutions, research bodies, medical associations, and occasionally, non-profit organizations. We welcome and value audience feedback as a part of our commitment to health literacy and informed decision-making. Please use one of the following formats to cite this article in your essay, paper or report: APA Dr. MLA Dr. Chicago Dr. Harvard Dr. html Ask an Expert: How does Stroop Effect apply to real life situations? Please use one of the following formats to cite this article in your essay, paper or report: APA Anita Ramesh. MLA Anita Ramesh. Chicago Anita Ramesh. |
| Diabetes Kickstart | DiabetesTV | CDC | However, a higher frequency of primary care contacts is associated with a better glycaemic outcome [ 48 ], and the commonly motivating effect of feedback on HbA 1c is one putative explanation of this finding [ 49 ]. In type 1 diabetes patients, the mean inter-item-correlation was 0. You can find help from your family, friends, and health care team. While these virtual tools are accessible to anyone with a computer or a smartphone, not everyone has access to this kind of technology or feels comfortable using it. Additionally, demographic and diabetes-specific characteristics were gained from the electronic patient records sex, age, BMI, diabetes type, diabetes duration, type of diabetes treatment, late complication status, and current HbA 1c. With diabetes, there are bound to be highs and lows. |
| Patient Engagement Toolkit | pornhdxxx.info | It is important for people with diabetes or prediabetes to achieve and maintain a healthy weight. When doctors closely monitor weight loss progress, a person more likely to achieve their goals. Research suggests that, among people with excess weight, modest, consistent weight loss can help manage type 2 diabetes and slow the rate at which prediabetes becomes diabetes. They also noted that making dietary adjustments can lower glycated hemoglobin levels by 0. Nutrition therapy can also lead to improvements in the quality of life. To facilitate these lifestyle adjustments, the ADA recommend consulting a registered dietitian with expertise in diabetes and weight management. Following a meal plan can be among the most challenging aspects of diabetes self-management. Developing a plan with a registered dietitian who is knowledgeable about diabetes-specific nutrition can help. For some people, dietary changes alone are not enough to control blood sugar levels. Diabetes is a progressive disease, which means that it can worsen over time. The ADA recommend using a combination of medication and nutrition therapy to reach blood sugar targets. The basis of meal planning involves portion control and favoring healthful foods. The diabetes plate method is one tool designed to help people control their calorie and carbohydrate intakes. It involves mentally dividing the plate into three sections. Half of the plate should contain nonstarchy vegetables , a quarter can contain grain-based and starchy foods, and the remaining quarter should contain protein. Research has shown that exercise can help control blood sugar levels, reduce cardiovascular risk factors, promote weight loss, and improve well-being. Researchers behind one study found that engaging in a structured exercise program for at least 8 weeks lowered glycated hemoglobin levels by an average of 0. The ADA recommend exercising for at least 10 minutes per session and getting a total of at least 30 minutes of exercise on most days of the week. If a person exercises every day — or lets no more than 2 days pass between workouts — this may help reduce insulin resistance. Members of a diabetes healthcare team can help develop and tailor an exercise plan that is safe and effective. In addition to exercising regularly, it is important to avoid spending long periods in a seated position. Breaking up sedentary periods every 30 minutes can help with controlling blood sugar. The ADA advise all people with prediabetes or diabetes to avoid tobacco products, including e-cigarettes. People with diabetes who smoke have higher risks of cardiovascular disease , premature death, and diabetes complications , as well as less blood sugar control, compared with people who do not smoke. If a person with diabetes does not take their medication as recommended by a doctor, it can lead to:. A diverse range of issues can contribute to medication nonadherence. Some may relate to psychological, demographic, and social factors. Key elements can include the cost of treatment and difficulties with healthcare providers and the healthcare system. Doubt about the seriousness of diabetes and the effectiveness of a treatment plan can keep a person from taking their medication, and this can lead to complications. Nonadherence seems to be more common among people who have chronic diseases with symptoms that are not obvious. Also, complex treatment plans can be challenging to follow. The quality of the patient-doctor relationship is often a key factor in nonadherence. Likewise, it is important to raise concerns about diabetes treatment with the doctor, who can adjust the plan to help ensure that targets are being met and no complications develop. Researchers have estimated that the collective cost of medication nonadherence for diabetes, high blood pressure , and high cholesterol in the U. In type 2 patients, the mean inter-item-correlation was 0. However, in five cases items 8, 9, 11, 14, and 15 the correlations were insignificant. This result was supported by the scree test. The varimax rotation converged in 6 iterations. Item 6, which asks for the recording of blood glucose levels, again as in the first study revealed a bidimensional structure with its additional loading on the diet factor. The factor loadings are presented in Table 4. To test the observed factor structure, all items except item 16 were aggregated to four correlated factors as suggested by the EFA using CFA. These results indicate a very appropriate fit of the four factor model. To evaluate the feasibility of integrating all items to a total scale, an additional single factor model all 16 items aggregated on one factor was tested. All results are shown in Table 5. If convergent correlations were assessed separately by diabetes type, the analyses of both subsamples revealed results which were highly comparable to those presented above. The comparison between the DSMQ scales and their equivalent SDSCA scales regarding the correlations with HbA 1c and for the physical activity scales with BMI revealed the following results:. When these correlational analyses were performed separately by diabetes type, the results were in total clearly consistent with the ones described above. Therefore, the finding of a higher association between the DSMQ subscale and HbA 1c — as observed in the total sample — could not be replicated. The purpose of this investigation was to describe the development of the DSMQ study 1 and evaluate its psychometric properties study 2. The questionnaire was developed on a broad theoretical and empirical basis, and its evaluation indicates very good psychometric properties with adequate item characteristics, satisfactory reliability, and good validity. According to the generally satisfactory item properties and good item validity coefficients regarding HbA 1c the overall item selection appears very satisfying. Since the items assess a number of different aspects of self-care, the total scale is rather heterogeneous, which is reflected by the mean inter-item-correlation of 0. Against this background and with a view to the rather low number of items on each content, the internal consistency can be appraised as good based on the standard by Nunnally and Bernstein [ 59 ]. For a polydimensional construct a higher alpha coefficient might even be unfavourable, for it suggests high item redundancy in the scale, as pointed out by Streiner [ 60 ]. The slightly lower item-total-correlations in two cases should be interpreted with a view to this aspect as well. The additional analyses of the subsamples revealed slightly better item properties and consistency in type 1 patients which can be partly attributed to the difference in sample size. In sum, all coefficients were in the acceptable range and suggest general applicability. The EFA revealed a simple structure of four factors with high loadings of all items thereon. The factors were well interpretable and their contents clearly confirmed the designed scales. But apart from that, the overall content structure is remarkably clear and indicates a good factorial validity. The EFA revealed a very good fit of the suggested four factor model, which also confirms the designed scales. The criterion-related correlations between the DSMQ scales and the SDSCA scales indicate a good convergence between parallel measures suggesting validity. According to these results, higher sum scores as well as subscale scores of the DSMQ allow to infer better self-care activities in view of glycaemic control. Notably, the DSMQ and SDSCA are equivalent in the way that both questionnaires assess self-care activities, which in most cases are clearly related, as reflected by the correlations between the parallel scales. However, in spite of this commonality, self-care as assessed by the DSMQ is more strongly associated with glycated haemoglobin, which can be explained by the differently conceptualized functions [19; p. In the course of the item selection only self-care activities which showed relevant associations with glycaemic control were kept. For this reason, several specific self-care activities which may be of interest in regards of diabetes care are not covered by the DSMQ. The main limitation of the studies is based on the composition of the samples. Both samples were drawn from in-patients at a tertiary referral centre for diabetes, where patients are usually hospitalized because of relevant problems of diabetes treatment and glycaemic control reflected by the average HbA 1c values of 8. Therefore, the study participants cannot be rated as representative of the general diabetic population, which limits the generalizability of results [ 61 ]. Furthermore, the majority of patients was treated with insulin, whereas only a small percentage used non-insulin medical treatments. Thus, the pattern of correlations between the DSMQ scales and HbA 1c might differ when assessed in patients not treated with insulin or antidiabetic medication for example, dietary aspects and physical activity then might have a larger impact on glycaemic control. Due to the generally short length of stay at the GDCM, the investigation was carried out cross-sectionally. In these regards additional analyses are needed. Nevertheless, the present results may be judged as promising. The strengths of this investigation, on the other hand, lie in the theoretical and empirical basis of the questionnaire contents on recent results from self-care research, which facilitates the integration of our findings and supports face validity. The questionnaire development was performed through a highly formal process of item and test analysis study 1 , and its initial validation study 2 was based on a very appropriate sample size. Furthermore a high accuracy of HbA 1c analysis was achieved due to standardised analysis in a central laboratory , and the coincidence of blood sampling and psychometric assessment as well as the standardized data assessment ensure the internal validity of results. Regarding its associations with HbA 1c, the DSMQ showed significant superiority to the German version of the SDSCA. In sum, in this initial study the DSMQ demonstrated very good psychometric properties. The questionnaire presents itself as an efficient instrument which provides reliable and valid information on diabetes self-care, and assesses four well-defined specific self-care activities associated with glycaemic control. It was designed especially to enable scientific studies of psychosocial barriers to self-care and glycaemic control. However, since good metabolic control can be regarded as the most important goal of diabetes treatment, the questionnaire appears also valuable for the clinical use as a screener or as diagnostic instrument to assess barriers of glycaemic control in individuals. Thus, the DSMQ should benefit future research and also be of value in clinical settings. Spellman CW: Achieving glycemic control: cornerstone in the treatment of patients with multiple metabolic risk factors. J Am Osteopath Assoc , Suppl 5 :8— Google Scholar. Stettler C, Allemann S, Jüni P, Cull CA, Holman RR, Egger M, Krähenbühl S, Diem P: Glycemic control and macrovascular disease in types 1 and 2 diabetes mellitus: Meta-analysis of randomized trials. Am Heart J , 27— Article CAS PubMed Google Scholar. Akalin S, Berntorp K, Ceriello A, Das AK, Kilpatrick ES, Koblik T, Munichoodappa CS, Pan CY, Rosenthall W, Shestakova M, Wolnik B, Woo V, Yang WY, Yilmaz MT, Global Task Force on Glycaemic Control: Intensive glucose therapy and clinical implications of recent data: a consensus statement from the Global Task Force on Glycaemic Control. Int J Clin Pract , — Johnson SB: Methodological issues in diabetes research. Measuring adherence. Diabetes Care , — Albisser AM, Harris RI, Albisser JB, Sperlich M: The impact of initiatives in education, self-management training, and computer-assisted self-care on outcomes in diabetes disease management. Diabetes Technol Ther , 3: — Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL: Testing a Self-Determination Theory Process Model for Promoting Glycemic Control Through Diabetes Self-Management. Health Psychol , 58— Article PubMed Google Scholar. Piette JD, Richardson C, Valenstein M: Addressing the needs of patients with multiple chronic illnesses: the case of diabetes and depression. Am J Manag Care , — PubMed Google Scholar. Peyrot M, McMurry JF Jr, Kruger DF: A biopsychosocial model of glycemic control in diabetes: stress, coping and regimen adherence. J Health Soc Behav , — Gonzalez JS, Peyrot M, McCarl LA, Collins EM, Serpa L, Mimiaga MJ, Safren SA: Depression and diabetes treatment nonadherence: a meta-analysis. Article PubMed Central PubMed Google Scholar. Gonzalez JS, Delahanty LM, Safren SA, Meigs JB, Grant RW: Differentiating symptoms of depression from diabetes-specific distress: relationships with self-care in type 2 diabetes. Diabetologia , — Article CAS PubMed Central PubMed Google Scholar. Aikens JE, Perkins DW, Lipton B, Piette JD: Longitudinal analysis of depressive symptoms and glycemic control in type 2 diabetes. Fisher L, Glasgow RE, Strycker LA: The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Fisher L, Mullan JT, Arean P, Glasgow RE, Hessler D, Masharani U: Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses. Diabetes Care , 23— Lustman PJ, Anderson RJ, Freedland KE, de Groot M, Carney RM, Clouse RE: Depression and poor glycemic control: a meta-analytic review of the literature. Pibernik-Okanovic M, Grgurevic M, Begic D, Szabo S, Metelko Z: Interaction of depressive symptoms and diabetes-related distress with glycaemic control in Type 2 diabetic patients. Diabet Med , — Baron RM, Kenny DA: The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol , — Lustman PJ, Clouse RE, Ciechanowski PS, Hirsch IB, Freedland KE: Depression-related hyperglycemia in type 1 diabetes: a mediational approach. Psychosom Med , — Glasgow RE: Social-environmental factors in diabetes: Barriers to diabetes self-care. In Handbook of Psychology and Diabetes: a guide to psychological measurement in diabetes research and practice. Edited by: Chur BC. Switzerland: Harwood Academic; — Toobert DJ, Glasgow RE: Assessing diabetes self-management: the summary of diabetes self-care activities questionnaire. Wang RH, Lin LY, Cheng CP, Hsu MT, Kao CC: The psychometric testing of the diabetes health promotion self-care scale. J Nurs Res , — Lee NP, Fisher WP Jr: Evaluation of the Diabetes Self-Care Scale. J Appl Meas , 6: — Toobert DJ, Hampson SE, Glasgow RE: The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Eigenmann CA, Colagiuri R, Skinner TC, Trevena L: Are current psychometric tools suitable for measuring outcomes of diabetes education? Bastos F, Severo M, Lopes C: Psychometric analysis of diabetes self-care scale translated and adapted to Portuguese. Acta Med Port , 11— Choi EJ, Nam M, Kim SH, Park CG, Toobert DJ, Yoo JS, Chu SH: Psychometric properties of a Korean version of the summary of diabetes self-care activities measure. Int J Nurs Stud , — Michels MJ, Coral MH, Sakae TM, Damas TB, Furlanetto LM: Questionnaire of Diabetes Self-Care Activities: translation, cross-cultural adaptation and evaluation of psychometric properties. Arq Bras Endocrinol Metabol , — Vincent D, McEwen MM, Pasvogel A: The validity and reliability of a Spanish version of the summary of diabetes self-care activities questionnaire. Nurs Res , — Kav S, Akman A, Dogan N, Tarakci Z, Bulut Y, Hanoglu Z: Turkish validity and reliability of the summary of diabetes self-care activities measure for patients with type 2 diabetes mellitus. J Clin Nurs , — Morris AD, Boyle DI, McMahon AD, Greene SA, MacDonald TM, Newton RW: Adherence to insulin treatment, glycaemic control, and ketoacidosis in insulin-dependent diabetes mellitus. Diabetes Audit and Research in Tayside Scotland. Medicines Monitoring Unit. Lancet , — QJM , — Lawrence DB, Ragucci KR, Long LB, Parris BS, Helfer LA: Relationship of oral antihyperglycemic sulfonylurea or metformin medication adherence and hemoglobin A1c goal attainment for HMO patients enrolled in a diabetes disease management program. J Manag Care Pharm , — Krapek K, King K, Warren SS, George KG, Caputo DA, Mihelich K, Holst EM, Nichol MB, Shi SG, Livengood KB, Walden S, Lubowski TJ: Medication adherence and associated hemoglobin A1c in type 2 diabetes. Ann Pharmacother , — Cohen HW, Shmukler C, Ullman R, Rivera CM, Walker EA: Measurements of medication adherence in diabetic patients with poorly controlled HbA 1c. Thomas D, Elliott EJ: Low glycaemic index, or low glycaemic load, diets for diabetes mellitus. Cochrane Database Syst Rev Thomas DE, Elliott EJ: The use of low-glycaemic index diets in diabetes control. Br J Nutr , — Wikblad K, Montin K, Wibell L: Metabolic control, residual insulin secretion and self-care behaviours in a defined group of patients with type 1 diabetes. Taking the right medications will help you have greater control over your diabetes and help you feel better. Insulin, pills that lower your blood sugar, aspirin, blood pressure medication, cholesterol-lowering medication are a few of the medicines used to reduce your risk of complications. Encountering struggles with your diabetes control will happen. You can't plan for every situation you may face. However, learning from struggles and developing plans for dealing with problems in the future will help you be successful. Having diabetes puts you are a higher risk for developing other health problems. |
| Diabetes self-management tips | Watch them in any order—they all include tips and strategies you can use right now. Then ask your doctor for a referral to diabetes self-management education and support DSMES to learn in-depth skills and get support to live your healthiest life. What should you eat to best manage your diabetes? A meal plan will help keep things simple and tasty! Being active is one of the most powerful tools for managing diabetes. Here are some ideas to get started and keep going! Monitoring helps you figure out how well your treatment plan is working and if changes could help. Depending on your unique needs, you may take medicines to lower your risk for health problems related to diabetes. With diabetes, there are bound to be highs and lows. You can find help from your family, friends, and health care team. Skip directly to site content Skip directly to search. Español Other Languages. This helps you keep your cholesterol, blood pressure, and blood sugar under control. Take your medications. You can all take your medications as instructed by your healthcare team, and keep track of your blood sugar levels on your own. Keep a log book. You can learn which numbers are important for telling you how well you are doing and then watch them improve over time by keeping a log book of your A1C, blood pressure, cholesterol, and so on. Take the book along to your appointments so you can discuss changes or new instructions with your healthcare team. Watch for symptoms or changes in your health. You can learn which symptoms or changes are important for you to watch out for and tell your doctor about. Talk with your healthcare team if you feel overwhelmed or unable to manage one or more aspects of your diabetes management. Ask questions when you are not sure about something. Talk with others who are living well with diabetes and kidney disease. They can understand your situation in a special way and give you support. Get tested for kidney disease. Having diabetes puts you at risk for developing kidney disease. Ask your healthcare team to be tested for kidney disease. You should be tested for kidney disease at least once a year. Stettler C, Allemann S, Jüni P, Cull CA, Holman RR, Egger M, Krähenbühl S, Diem P: Glycemic control and macrovascular disease in types 1 and 2 diabetes mellitus: Meta-analysis of randomized trials. Am Heart J , 27— Article CAS PubMed Google Scholar. Akalin S, Berntorp K, Ceriello A, Das AK, Kilpatrick ES, Koblik T, Munichoodappa CS, Pan CY, Rosenthall W, Shestakova M, Wolnik B, Woo V, Yang WY, Yilmaz MT, Global Task Force on Glycaemic Control: Intensive glucose therapy and clinical implications of recent data: a consensus statement from the Global Task Force on Glycaemic Control. Int J Clin Pract , — Johnson SB: Methodological issues in diabetes research. Measuring adherence. Diabetes Care , — Albisser AM, Harris RI, Albisser JB, Sperlich M: The impact of initiatives in education, self-management training, and computer-assisted self-care on outcomes in diabetes disease management. Diabetes Technol Ther , 3: — Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL: Testing a Self-Determination Theory Process Model for Promoting Glycemic Control Through Diabetes Self-Management. Health Psychol , 58— Article PubMed Google Scholar. Piette JD, Richardson C, Valenstein M: Addressing the needs of patients with multiple chronic illnesses: the case of diabetes and depression. Am J Manag Care , — PubMed Google Scholar. Peyrot M, McMurry JF Jr, Kruger DF: A biopsychosocial model of glycemic control in diabetes: stress, coping and regimen adherence. J Health Soc Behav , — Gonzalez JS, Peyrot M, McCarl LA, Collins EM, Serpa L, Mimiaga MJ, Safren SA: Depression and diabetes treatment nonadherence: a meta-analysis. Article PubMed Central PubMed Google Scholar. Gonzalez JS, Delahanty LM, Safren SA, Meigs JB, Grant RW: Differentiating symptoms of depression from diabetes-specific distress: relationships with self-care in type 2 diabetes. Diabetologia , — Article CAS PubMed Central PubMed Google Scholar. Aikens JE, Perkins DW, Lipton B, Piette JD: Longitudinal analysis of depressive symptoms and glycemic control in type 2 diabetes. Fisher L, Glasgow RE, Strycker LA: The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Fisher L, Mullan JT, Arean P, Glasgow RE, Hessler D, Masharani U: Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses. Diabetes Care , 23— Lustman PJ, Anderson RJ, Freedland KE, de Groot M, Carney RM, Clouse RE: Depression and poor glycemic control: a meta-analytic review of the literature. 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| Digital Diabetes Tools: Diabetes Prevention, Care & Support | Therefore, this aspect should not be missed out when studying psychosocial predictors of diabetes control. More in Managing Type 2 Diabetes with Food and Fitness How Many Carbs Should You Eat If You Have Diabetes? Approximately , people younger than 20 in the country have diagnosed diabetes. Self-management education conveyed as a short plea, enables the patient to recollect and have a better blend of information that enhances control of Type2 DM. The program is delivered through video conferencing technology and made available to people who have, or are at high risk for developing, diabetes. |
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