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  • Measure Summary
  • NQMC:009713
  • Jul 2014

Diagnosis and management of type 2 diabetes mellitus (T2DM) in adults: percentage of newly diagnosed patients who are advised about lifestyle modification and nutrition therapy within one year of diagnosis.

Redmon B, Caccamo D, Flavin P, Michels R, O'Connor P, Roberts J, Smith S, Sperl-Hillen J. Diagnosis and management of type 2 diabetes mellitus in adults. Bloomington (MN): Institute for Clinical Systems Improvement (ICSI); 2014 Jul. 85 p. [197 references]

View the original measure documentation External Web Site Policy

This is the current release of the measure.

The measure developer reaffirmed the currency of this measure in January 2016.

Primary Measure Domain

Clinical Quality Measures: Process

Secondary Measure Domain

Does not apply to this measure

Description

This measure is used to assess the percentage of newly diagnosed patients ages 18 to 75 years old who are advised about lifestyle modification and nutrition therapy within one year of diagnosis.

Rationale

The priority aim addressed by this measure is to increase the percentage of patients age 18 to 75 years newly diagnosed with type 2 diabetes mellitus (T2DM) who are advised about lifestyle modification and nutrition therapy.

Due to the high percentage of the United States (U.S.) population that is diagnosed with diabetes and the effect diabetes has on other comorbidities, appropriate management will improve the patient's experience of care and the health of the population, reducing office visits, emergency department visits, and cardiovascular complications. Other related conditions will in turn reduce the total cost of care.

Appropriate medication management targeting glycemic control, hypertension, and lipid management is important for reducing morbidity and mortality, and improving long-term quality of life for patients diagnosed with T2DM. Lifestyle changes such as nutrition therapy, weight loss, increased exercise, and appropriate education and self-management strategies are pivotal to improved outcomes. Inadequate access to care for chronic disease management as well as the cost of medication can contribute to poor control of T2DM and associated cardiovascular risk factors.

Intensive lifestyle change or programs have been proven effective in delaying or preventing the onset of diabetes by about 50% to 58%. Effective lifestyle changes include setting achievable goals, obtaining weight loss when needed (between 5% and 10% of total body weight is recommended), and increasing physical activity to a minimum of 150 minutes per week (Tuomilehto et al., 1999).

Nutrition therapy specifically activates patients by more intensively assessing eating and physical activity behaviors and nutrient intake, and provides counseling that results in improved health and may reduce complication of T2DM. Diabetes nutrition therapy can result in cost savings and improved outcomes such as reduction in glycosylated hemoglobin (A1c). Nutrition therapy can be personalized based upon the patient's needs, comorbidities, existing chronic conditions and other key factors (Ajala, English, & Pinkney, 2013; Estruch et al., 2013; Andrews et al., 2011; Azadbakht et al., 2011; Elhayany et al., 2010; Brehm et al., 2009; Esposito et al., 2009; Robbins et al., 2008; Brunerova et al., 2007; Nield et al., 2007; Ash et al., 2003).

Evidence for Rationale

Ajala O, English P, Pinkney J. Systematic review and meta-analysis of different dietary approaches to the management of type 2 diabetes. Am J Clin Nutr. 2013 Mar;97(3):505-16. PubMed External Web Site Policy

Andrews RC, Cooper AR, Montgomery AA, Norcross AJ, Peters TJ, Sharp DJ, Jackson N, Fitzsimons K, Bright J, Coulman K, England CY, Gorton J, McLenaghan A, Paxton E, Polet A, Thompson C, Dayan CM. Diet or diet plus physical activity versus usual care in patients with newly diagnosed type 2 diabetes: the Early ACTID randomised controlled trial. Lancet. 2011 Jul 9;378(9786):129-39. PubMed External Web Site Policy

Ash S, Reeves MM, Yeo S, Morrison G, Carey D, Capra S. Effect of intensive dietetic interventions on weight and glycaemic control in overweight men with Type II diabetes: a randomised trial. Int J Obes (Lond). 2003 Jul;27(7):797-802. PubMed External Web Site Policy

Azadbakht L, Fard NR, Karimi M, Baghaei MH, Surkan PJ, Rahimi M, Esmaillzadeh A, Willett WC. Effects of the Dietary Approaches to Stop Hypertension (DASH) eating plan on cardiovascular risks among type 2 diabetic patients: a randomized crossover clinical trial. Diabetes Care. 2011 Jan;34(1):55-7. PubMed External Web Site Policy

Brehm BJ, Lattin BL, Summer SS, Boback JA, Gilchrist GM, Jandacek RJ, DAlessio DA. One-year comparison of a high-monounsaturated fat diet with a high-carbohydrate diet in type 2 diabetes. Diabetes Care. 2009 Feb;32(2):215-20. PubMed External Web Site Policy

Brunerova L, Smejkalova V, Potockova J, Andel M. A comparison of the influence of a high-fat diet enriched in monounsaturated fatty acids and conventional diet on weight loss and metabolic parameters in obese non-diabetic and Type 2 diabetic patients. Diabet Med. 2007 May;24(5):533-40. PubMed External Web Site Policy

Elhayany A, Lustman A, Abel R, Attal-Singer J, Vinker S. A low carbohydrate Mediterranean diet improves cardiovascular risk factors and diabetes control among overweight patients with type 2 diabetes mellitus: a 1-year prospective randomized intervention study. Diabetes Obes Metab. 2010 Mar;12(3):204-9.

Esposito K, Maiorino MI, Ciotola M, Di Palo C, Scognamiglio P, Gicchino M, Petrizzo M, Saccomanno F, Beneduce F, Ceriello A, Giugliano D. Effects of a Mediterranean-style diet on the need for antihyperglycemic drug therapy in patients with newly diagnosed type 2 diabetes: a randomized trial. Ann Intern Med. 2009 Sep 1;151(5):306-14. PubMed External Web Site Policy

Estruch R, Ros E, Salas-Salvadó J, Covas MI, Corella D, Arós F, Gómez-Gracia E, Ruiz-Gutiérrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pintó X, Basora J, Muñoz MA, Sorlí JV, Martínez JA, Martínez-González MA, PREDIMED Study Investigators. Primary prevention of cardiovascular disease with a Mediterranean diet [** Article retracted: See 959766 for updated article **] . N Engl J Med. 2013 Apr 4;368(14):1279-90. PubMed External Web Site Policy

Nield L, Moore HJ, Hooper L, Cruickshank JK, Vyas A, Whittaker V, Summerbell CD. Dietary advice for treatment of type 2 diabetes mellitus in adults. Cochrane Database Syst Rev. 2007;(3):CD004097. PubMed External Web Site Policy

Redmon B, Caccamo D, Flavin P, Michels R, O'Connor P, Roberts J, Smith S, Sperl-Hillen J. Diagnosis and management of type 2 diabetes mellitus in adults. Bloomington (MN): Institute for Clinical Systems Improvement (ICSI); 2014 Jul. 85 p. [197 references]

Robbins JM, Thatcher GE, Webb DA, Valdmanis VG. Nutritionist visits, diabetes classes, and hospitalization rates and charges: the Urban Diabetes Study. Diabetes Care. 2008 Apr;31(4):655-60. PubMed External Web Site Policy

Tuomilehto J, Rastenyte D, Birkenhäger WH, Thijs L, Antikainen R, Bulpitt CJ, Fletcher AE, Forette F, Goldhaber A, Palatini P, Sarti C, Fagard R. Effects of calcium-channel blockade in older patients with diabetes and systolic hypertension. Systolic Hypertension in Europe Trial Investigators. N Engl J Med. 1999 Mar 4;340(9):677-84. PubMed External Web Site Policy

Primary Health Components

Type 2 diabetes mellitus (T2DM); lifestyle modification; nutrition therapy

Denominator Description

Number of patients ages 18 to 75 year old who have type 2 diabetes mellitus (T2DM) (see the related "Denominator Inclusions/Exclusions" field)

Numerator Description

Number of patients who are advised about lifestyle modification and nutrition therapy within one year of diagnosis

Type of Evidence Supporting the Criterion of Quality for the Measure

  • A clinical practice guideline or other peer-reviewed synthesis of the clinical research evidence

Additional Information Supporting Need for the Measure

  • Diabetes is a chronic disease that afflicts approximately 26.9% of United States (U.S.) residents aged 65 years and older. 1.9 million are diagnosed with diabetes every year, and an additional 7.0 million go undiagnosed and untreated (Centers for Disease Control and Prevention [CDC], 2011). More than 1 in 5 health care dollars in the U.S. goes to the care of people with diagnosed diabetes, costing $245 billion dollars annually.
  • The benefits of a multifactorial approach to diabetes care are supported by the results of the Steno 2 Study of 160 patients with type 2 diabetes mellitus (T2DM) and microalbuminuria. Multifactorial interventions achieved a 50% reduction in mortality and significant reduction in microvascular complications five years after ending a 7.8-year multifactorial intervention that achieved glycated hemoglobin (A1c) of 7.8%, low-density lipoprotein (LDL) 83 mg/dL, blood pressure (BP) 131/73, compared to a conventional group that achieved A1c 9%, LDL 126 mg/dL and BP 146/78 (Gaede et al., 2008). Results of this study are consistent with the need for reasonable blood glucose control with emphasis on blood pressure and lipid management.
  • Hospitalized patients with diabetes suffer increased morbidity, mortality, length of stay, and other related hospital costs compared to non-hyperglycemic inpatients (Umpierrez et al., 2002).
  • Hyperglycemia has been associated with increased infection rates and poorer short-term and long-term outcomes in critically ill patients in the intensive care unit, post-myocardial infarction, and post-surgical settings (van den Berghe et al., 2001).
  • There is a substantial increase in the prevalence of depression among people with diabetes as compared to the general adult population (Anderson et al., 2001). Depression impacts the ability of a person with diabetes to achieve blood glucose control, which in turn impacts the rate of development of diabetes complications (de Groot et al., 2001; Lustman & Gavard, 2001).
  • Sleep apnea is a prevalent condition in obese patients with type 2 diabetes and is associated with significant comorbidities including hypertension, cardiovascular disease and insulin resistance.
  • Up to 21% of patients with T2DM are found to have retinopathy at the time of diagnosis of diabetes mellitus (Fong et al., 2004). Generally retinopathy progresses from mild background abnormalities to preproliferative retinopathy to proliferative retinopathy.

Evidence for Additional Information Supporting Need for the Measure

Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001 Jun;24(6):1069-78. PubMed External Web Site Policy

Centers for Disease Control and Prevention (CDC). National diabetes fact sheet, 2011: fast facts on diabetes. Atlanta (GA): Centers for Disease Control and Prevention (CDC); 2011.

de Groot M, Anderson R, Freedland KE, Clouse RE, Lustman PJ. Association of depression and diabetes complications: a meta-analysis. Psychosom Med. 2001 Jul-Aug;63(4):619-30. PubMed External Web Site Policy

Fong DS, Aiello L, Gardner TW, King GL, Blankenship G, Cavallerano JD, Ferris FL 3rd, Klein R. Retinopathy in diabetes. Diabetes Care. 2004 Jan;27(Suppl 1):S84-7. [10 references] PubMed External Web Site Policy

Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med. 2008 Feb 7;358(6):580-91. PubMed External Web Site Policy

Lustman PJ, Gavard JA. Psychosocial aspects of diabetes in adult populations. In: National Diabetes Data Group. Diabetes in America. 2nd ed. Bethesda (MD): National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 1995. p. 507-18.

Redmon B, Caccamo D, Flavin P, Michels R, O'Connor P, Roberts J, Smith S, Sperl-Hillen J. Diagnosis and management of type 2 diabetes mellitus in adults. Bloomington (MN): Institute for Clinical Systems Improvement (ICSI); 2014 Jul. 85 p. [197 references]

Umpierrez GE, Isaacs SD, Bazargan N, You X, Thaler LM, Kitabchi AE. Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes. J Clin Endocrinol Metab. 2002 Mar;87(3):978-82. PubMed External Web Site Policy

van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R. Intensive insulin therapy in the critically ill patients. N Engl J Med. 2001 Nov 8;345(19):1359-67. PubMed External Web Site Policy

Extent of Measure Testing

Unspecified

National Guideline Clearinghouse Link

Diagnosis and management of type 2 diabetes mellitus in adults. External Web Site Policy

State of Use

Current routine use

Current Use

Internal quality improvement

Measurement Setting

Ambulatory/Office-based Care

Professionals Involved in Delivery of Health Services

Advanced Practice Nurses

Nurses

Physician Assistants

Physicians

Least Aggregated Level of Services Delivery Addressed

Clinical Practice or Public Health Sites

Statement of Acceptable Minimum Sample Size

Unspecified

Target Population Age

Age 18 to 75 years

Target Population Gender

Either male or female

National Quality Strategy Aim

Better Care

National Quality Strategy Priority

Person- and Family-centered Care
Prevention and Treatment of Leading Causes of Mortality

IOM Care Need

Living with Illness

IOM Domain

Effectiveness

Patient-centeredness

Case Finding Period

The time frame pertaining to data collection is the past 12 months.

Denominator Sampling Frame

Patients associated with provider

Denominator (Index) Event or Characteristic

Clinical Condition

Encounter

Patient/Individual (Consumer) Characteristic

Denominator Time Window

Does not apply to this measure

Denominator Inclusions/Exclusions

Inclusions
Number of patients ages 18 to 75 years old who have type 2 diabetes mellitus (T2DM)

Data Collection: Data should be collected from electronic medical records (EMR) for all patient visits in the past 12 months.

Exclusions
Unspecified

Exclusions/Exceptions

Unspecified

Numerator Inclusions/Exclusions

Inclusions
Number of patients who are advised about lifestyle modification and nutrition therapy within one year of diagnosis

Exclusions
Unspecified

Numerator Search Strategy

Fixed time period or point in time

Data Source

Electronic health/medical record

Type of Health State

Does not apply to this measure

Instruments Used and/or Associated with the Measure

Unspecified

Measure Specifies Disaggregation

Does not apply to this measure

Scoring

Rate/Proportion

Interpretation of Score

Desired value is a higher score

Allowance for Patient or Population Factors

Unspecified

Standard of Comparison

Internal time comparison

Original Title

Percentage of newly diagnosed patients who are advised about lifestyle modification and nutrition therapy within one year of diagnosis.

Measure Collection Name

Diagnosis and Management of Type 2 Diabetes Mellitus in Adults

Submitter

Institute for Clinical Systems Improvement - Nonprofit Organization

Developer

Institute for Clinical Systems Improvement - Nonprofit Organization

Funding Source(s)

The Institute for Clinical Systems Improvement's (ICSI's) work is funded by the annual dues of the member medical groups and five sponsoring health plans in Minnesota and Wisconsin.

Composition of the Group that Developed the Measure

Work Group Members: Bruce Redmon, MD (Work Group Leader) (University of Minnesota) (Endocrinology); David Caccamo, MD (HealthPartners Medical Group and Regions Hospital) (Family Medicine); Ryan Michels, PharmD, BCPS (HealthPartners Medical Group and Regions Hospital) (Pharmacy); Patrick O'Connor, MD (HealthPartners Medical Group and Regions Hospital) (Family Medicine); Julie Roberts, MS, RD, CDE (HealthPartners Medical Group and Regions Hospital) (Health Education); JoAnn Sperl-Hillen, MD (HealthPartners Medical Group and Regions Hospital) (Internal Medicine); Steve Smith, MD (Mayo Clinic) (Endocrinology); Penny Louise Flavin, DNP, RN, CNP (Olmsted Medical Center) (Family Practice); Cassie Myers (Institute for Clinical Systems Improvement [ICSI]) (Project Manager); Linda Setterlund, MA, CPHQ (ICSI) (Clinical Systems Improvement Facilitator)

Financial Disclosures/Other Potential Conflicts of Interest

The Institute for Clinical Systems Improvement (ICSI) has long had a policy of transparency in declaring potential conflicting and competing interests of all individuals who participate in the development, revision and approval of ICSI guidelines and protocols.

In 2010, the ICSI Conflict of Interest Review Committee was established by the Board of Directors to review all disclosures and make recommendations to the board when steps should be taken to mitigate potential conflicts of interest, including recommendations regarding removal of work group members. This committee has adopted the Institute of Medicine Conflict of Interest standards as outlined in the report Clinical Practice Guidelines We Can Trust (2011).

Where there are work group members with identified potential conflicts, these are disclosed and discussed at the initial work group meeting. These members are expected to recuse themselves from related discussions or authorship of related recommendations, as directed by the Conflict of Interest committee or requested by the work group.

The complete ICSI policy regarding Conflicts of Interest is available at the ICSI Web site External Web Site Policy.

Disclosure of Potential Conflicts of Interest

David Caccamo, MD (Work Group Member)
Family Physician, Family Medicine, HealthPartners Medical Group and Regions Hospital
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: None
Research Grants: None
Financial/Non-Financial Conflicts of Interest: None

Penny Louise Flavin, DNP, RN, CNP (Work Group Member)
Family Practice, Olmsted Medical Center
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: None
Research Grants: None
Financial/Non-Financial Conflicts of Interest: None

Ryan Michels, PharmD, BCPS (Work Group Member)
Clinical Pharmacist, HealthPartners Medical Group and Regions Hospital
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: None
Research Grants: None
Financial/Non-Financial Conflicts of Interest: None

Patrick O'Connor, MD (Work Group Member)
Family Medicine/Geriatrics, Senior Clinical Investigator, HealthPartners Medical Group and Regions Hospital
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: Lipid Management in Adults, Diagnosis and Treatment of Hypertension
Research Grants: Received institutional payment for research grants from NIH (National Institutes of Health), AHRQ (Agency for Healthcare Research and Quality, NIMH (National Institute of Mental Health), NHLBI (National Heart, Lung and Blood Institute) and to develop standards of diabetes care for American Diabetes Association
Financial/Non-Financial Conflicts of Interest: None

Bruce Redmon, MD (Work Group Member)
Endocrinology, Professor, University of Minnesota Medical School
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: None
Research Grants: NIH (National Institutes of Health) related to ongoing diabetes clinical trial, including the Look Ahead study and GRADE study
Financial/Non-Financial Conflicts of Interest: Consults for the University of Minnesota and Optum Insight and is paid directly to the physician's employer

Julie Roberts, MS, RD, CDE (Work Group Member)
Registered Dietician, HealthPartners Medical Group and Regions Hospital
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: None
Research Grants: None
Financial/Non-Financial Conflicts of Interest: None

Steve Smith, MD (Work Group Member)
Endocrinology, Consultant, Medical Director of Patient Education, Mayo Clinic
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: None
Research Grants: None
Financial/Non-Financial Conflicts of Interest: None

JoAnn Sperl-Hillen, MD (Work Group Member)
Internal Medicine, Investigator, HealthPartners Medical Group and Regions Hospital
National, Regional, Local Committee Affiliations: None
Guideline Related Activities: Has served on guideline group for BMJ Online T2DM guideline
Research Grants: Receives programmatic support paid to her institution for the following: Stimulated Diabetes Training for Resident Physicians (NIDDK funded), Primary investigator; Personalized Physician Learning for HTN (NHLBI), co-investigator; Priorities (NHLBI), co-investigator; Hyperlink (NHLBI), co-investigator; travel and expenses paid for by an educational grant from Sanofi through the International Diabetes Center
Financial/Non-Financial Conflicts of Interest: None

Adaptation

This measure was not adapted from another source.

Date of Most Current Version in NQMC

2014 Jul

Measure Maintenance

Scientific documents are revised every 12 to 24 months as indicated by changes in clinical practice and literature.

Date of Next Anticipated Revision

The next scheduled revision will occur within 24 months.

Measure Status

This is the current release of the measure.

The measure developer reaffirmed the currency of this measure in January 2016.

Source(s)

Redmon B, Caccamo D, Flavin P, Michels R, O'Connor P, Roberts J, Smith S, Sperl-Hillen J. Diagnosis and management of type 2 diabetes mellitus in adults. Bloomington (MN): Institute for Clinical Systems Improvement (ICSI); 2014 Jul. 85 p. [197 references]

Measure Availability

Source available for purchase from the Institute for Clinical Systems Improvement (ICSI) Web site External Web Site Policy. Also available to ICSI members for free at the ICSI Web site External Web Site Policy and to Minnesota health care organizations free by request at the ICSI Web site External Web Site Policy.

For more information, contact ICSI at 8009 34th Avenue South, Suite 1200, Bloomington, MN 55425; Phone: 952-814-7060; Fax: 952-858-9675; Web site: www.icsi.org External Web Site Policy; E-mail: icsi.info@icsi.org.

NQMC Status

This NQMC summary was completed by ECRI Institute on January 5, 2015.

The information was reaffirmed by the measure developer on January 13, 2016.

Copyright Statement

This NQMC summary (abstracted Institute for Clinical Systems Improvement [ICSI] Measure) is based on the original measure, which is subject to the measure developer's copyright restrictions.

The abstracted ICSI Measures contained in this Web site may be downloaded by any individual or organization. If the abstracted ICSI Measures are downloaded by an individual, the individual may not distribute copies to third parties.

If the abstracted ICSI Measures are downloaded by an organization, copies may be distributed to the organization's employees but may not be distributed outside of the organization without the prior written consent of the Institute for Clinical Systems Improvement, Inc.

All other copyright rights in the abstracted ICSI Measures are reserved by the Institute for Clinical Systems Improvement, Inc. The Institute for Clinical Systems Improvement, Inc. assumes no liability for any adaptations or revisions or modifications made to the abstracts of the ICSI Measures.

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