Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 May 8.
Published in final edited form as: Diabetes Educ. 2008 Mar-Apr;34(2):242–265. doi: 10.1177/0145721708316551

A Review of Systematic Reviews Evaluating Diabetes Interventions

Focus on Quality of Life and Disparities

Gayenell S Magwood 1, Jane Zapka 1, Carolyn Jenkins 1
PMCID: PMC4014006  NIHMSID: NIHMS328133  PMID: 18375775

Abstract

Purpose

This article reviews the literature on definitions and issues related to measurement of quality of life in people with diabetes and summarizes reviews of evidence of intervention studies, with a particular focus on interventions targeted for underserved and minority populations.

Methods

An integrative literature review of reviews was conducted on adult diabetes interventions and outcomes. Five electronic databases were searched. Eligible publications were those published between 1999 and 2006 that described outcome measures. Twelve review articles are included.

Results

Review studies were heterogeneous in terms of intervention type, content, participants, setting, and outcome measures. Interventions used variable operational definitions and frequently lacked adequate description; therefore, comparisons of findings proved difficult. A clinical outcome, A1C, was the most frequently assessed, with little inclusion of quality-of-life measures. Several reviews and independent studies did not explicitly consider interventions aimed at the underserved. When quality of life was considered, measures and operational definition of domains were limited.

Conclusions

Understanding the relationship between interventions and resulting outcomes, particularly quality of life, will require attention to operational definitions and better conceptual models. There is an evidence base emerging about important characteristics of effective intervention programs. This evidence base can guide public health and clinical program planners to better understand and make prudent decisions about assessment, planning, implementation, and evaluation of interventions for people with complex chronic illnesses such as diabetes.


As the personal, social, and economic burden of diabetes mellitus (DM) continues,1 so does the concern for building the evidence for efficacious and effective primary, secondary, and tertiary prevention strategies. It is important to focus on the outcomes of DM intervention efforts and to individualize diabetes self-management education (DSME).2,3 Community involvement and collaboration can effectively build and deliver culturally centered interventions.4,5 Documenting the effectiveness of interventions requires explicit indicators specific to DSME interventions,3 along the continuum of outcomes categories: immediate (learning), intermediate (behavior change), post intermediate (clinical improvement), and long term (health status improvement).6 Given the important intervention focus on DSME and its related impact on longterm outcomes, the patient’s perceptions and sociocultural context, including quality of life, are also important.

The American Association of Diabetes Educators (AADE) offers the following working definition for diabetes education:

Diabetes education, also known as diabetes self-management training (DSMT), is a collaborative process through which people with or at risk for diabetes gain the knowledge and skills needed to modify behavior and successfully self-manage the disease and its related conditions. The intervention aims to achieve optimal health status, better quality of life and reduce the need for costly healthcare. Diabetes education focuses on seven self-care behaviors that are essential for improved health status and greater quality of life. The AADE 7 Self-Care Behaviors are: healthy eating, being active, monitoring, taking medication, problem solving, healthy coping, and reducing risks.7

Currently, the success of diabetes interventions is primarily assessed by traditional clinical measures, such as A1C, blood pressure, and blood glucose levels for a variety of reasons. African Americans are at a greater risk for complications related to DM. This article first reviews the definitions and issues related to measuring quality of life in people with diabetes. It then summarizes the published reviews of intervention studies with respect to outcome measures with a special focus on quality-of-life measures and studies that explicitly consider interventions for African Americans.

Background

Improved outcomes in people with type 2 diabetes are related to several complex factors, which operate at many levels: public policy, health system, organizations, and individual provider and patient. Population subgroups, notably African Americans, face greater risks to health status and quality of life.8-11 The public health community is paying considerable attention to health disparities and the role of improved health systems in reducing the burden of DM.

Classically defined, health outcomes are the changed state or condition of an individual as a consequence of medical care over time.12 However, evidence demonstrates that individual and population health status are affected by access to and quality of health care, as well as complex factors at multiple levels, including patient and provider behavior and utilization over time, as noted in Figure 1.13,14 Outcomes can be traditional health status endpoints, such as mortality or morbidity; clinical measures or biological indicators, such as A1C or blood pressure; predisposing and behaviors such as medication compliance; or psychosocial and patient-centered measures such as satisfaction, well-being, or quality of life.

Figure 1.

Figure 1

Strategies to improve outcomes. DSMT, diabetes self-management training; DM, diabetes mellitus; ADA, American Diabetes Association; AADE, American Association of Diabetes Educators. Adapted from Wagner13 and Zapka et al.14

Definition and Measurement of Quality of Life

Health-related quality of life (HRQOL) is considered a patient-assessed or patient-centered outcome that relates to the individual’s health perceptions, well-being, and functioning.15-17 Moreover, health perceptions reflect the context of cultural and value systems. Various societal and individual determinants influence physical health, psychological state, social relationships, environmental factors, and beliefs.18,19 Several studies report lower HRQOL in people diagnosed with diabetes.20,21 Furthermore, evidence suggests the level of HRQOL is dependent on the presence of comorbidities and the severity of complications and has been significantly correlated with socioeconomic and/or familial barriers.21,22

In the health literature, the terms quality of life (QOL), health-related quality of life, well-being, health status, and satisfaction are used interchangeably.15,16Healthy People conceptualized QOL as reflecting a “general sense of happiness and satisfaction with our lives and environment. General quality of life encompasses all aspects of life, including health, recreation, culture, rights, values, beliefs, aspirations, and the conditions that support a life containing these elements.”23(p10) Overall QOL includes health-related factors and nonmedical phenomena such as personal relationships, employment, spirituality,15 and a sense of well-being.24 QOL is frequently defined as “an individual’s perception of their position in life in the context of culture and value systems in which they live, and in relation to their goals, expectations, standards, and concerns.”19

In comparison, “HRQOL reflects a personal sense of physical and mental health and the ability to react to factors in the physical and social environments.”23 HRQOL is a multidimensional construct of an individual’s subjective appraisal of health and well-being involving physical, psychological, and social functioning.25 HRQOL includes health perception of risk and conditions such as social support, as well as socioeconomic and functional status.10 The literature, although discordant, concedes that HRQOL is patient centered and is grounded in one’s reality. Because HRQOL is a measure of subjective health status and quality of life, health care providers are encouraged to consider HRQOL as a priority outcome, in addition to traditional physiologic and functional indicators.

Disease-specific instruments are designed to be used in a specific patient group, sensitive to treatment and natural history, and are more responsive to changes in health.18,26 Important contributions have been made to identify and understand available diabetes-specific measures of HRQOL. Garratt and colleagues18 reviewed available instruments, summarized the psychometric evidence, and made recommendations for their use. Although it is beyond the scope of this article to review all the findings of Garratt and colleagues’ extensive work, Table 1 reports important dimensions of existing instruments that reflect the personal and social outcomes important to living with diabetes.

Table 1. Instrument Dimensions (Number of Items).

Appraisal of
Diabetes
Scale
Audit of
Diabetes-Dependent
Quality of Life
Diabetes
Health
Profilea
Diabetes Impact
Measurement
Scales
Diabetes
Quality-of-Life
Measure
Diabetes-Specific
Quality-of-Life
Scale
Diabetes-39 Questionnaire on
Stress in Patient
With Diabetes-R
Well-Being
Enquiry for
Diabetics
Single
 index (7)
Single
 index (13)
Psychological
 distress (14)
Well-being (11) Worries about
 future effectsof diabetes (4)
Worries about
 future (5)
Anxiety and
 worry (4)
Depression/fear
 of future (6)
Serenity (10)
Barriers to
 activity (13)
Diabetes-related
 morale (11)
Worries about
 social/vocational
 issues (7)
Social
 relations (11)
Social and peer
 burden(5)
Leisure time (4) Discomfort (10)
Disinhibited
 eating (5)
Nonspecific
 symptoms (11)
Impact of
 treatment (20)
Leisure time
 flexibility (6)
Sexual
 functioning (3)
Partner (6) Impact (20)
Specific
 symptoms (6)
Satisfaction with
 treatment (15)
Daily hassles (4) Energy and
 mobility (15)
Work (6)
Diet restrictions (5) Treatment
 regimen/diet (9)
Physical
 complaints (8)
Diabetes
 control (12)
Physical
 complaints (6)
Treatment
 satisfaction (10)
Hypoglycemia (4)
 Doctor-patient
 relationship (4)
a

The number of items for the Diabetes Health Profile refers to the DHP-1. The DHP-18 has 6, 7, and 5 items for the psychological distress, barriers to activity, and disinhibited eating dimensions, respectively. Table 2 in Garratt AM, Schmidt L, Fitzpatrick R. Patient-assessed health outcome measures for diabetes: a structured review. Diabetic Med. 2002;19:1-11. Reprinted here with permission.

Methods

To determine the state of evidence of HRQOL as a measured outcome in interventions designed specifically for adults with type 2 diabetes, the following were searched (1996-2006) for systematic or critical reviews and meta-analysis articles: MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Educational Resources Information Center (ERIC), Cochrane Library, and PsycINFO databases. Inclusion criteria included English-language and review articles reported to include patient outcomes published between 1999 and 2006. The subject headings used for search included disease management, case management, care management, community, health system, self-management, self-management education, blacks, African Americans, health-related quality of life, quality of life, intervention, and outcomes, all in association with type 2 diabetes. In addition, selected bibliographic references and diabetes journals of relevance were searched by hand. Twelve review articles met the inclusion criteria and were included in this integrative review.

The analyses included review of criteria for inclusion in the review, the number and design of studies included, intervention description (components, content, and setting), and the impact, process, and outcomes assessed. This study includes comments about QOL instruments and consideration of minority and disadvantaged populations.

Findings

Table 2 reports the key analysis points for each review article, listed in alphabetical order by first author. The reviews covered studies conducted between 1966 and 2006, although the reviews were published between 1999 and 2006.

Table 2. Summary of Review Articles.

Period and Methods Inclusion and
Exclusion Criteria
N = Number of Studies
Intervention Impact, Process, and
Outcomes
Assessed
Notes/Comments Re: QOL in
Minority and Disadvantaged
Populations
Eakin EG, Bull SS, Glasgow RE, Mason M. Reaching those most in need: a review of diabetes self-management interventions in disadvantaged populations. Diabetes Metab
Res Rev. 2002;18:26-35.
1987-2001: MEDLINE
 supplemented by review
 of bibliographies from
 identified studies and
 reviews
Included English-language
 RCTs or quasi-
 experimental studies with
 comparison group; DSME
 intervention delivered to
 an underserved/
 disadvantaged group or
 community.
Component
DSME, group and individual
 sessions, informational
 mailings, media
 campaign, peer support,
 home visits, unstructured
 sessions, videotapes,
 handouts, monthly calls
 from nurse
RE-AIM (Reach, Efficacy,
 Adoption, Implementation,
 and Maintenance)
 framework used to compare
and evaluate studies
Physiological
GHb, cholesterol, BP, weight,
FBG, BMI, body
composition, glucose
tolerance and symptoms
Studies were conducted with
 explicit focus on minority
 and disadvantaged
 populations.
A summary methodologic
 rating of 0 to 9 was
 calculated. Scores ranged
 from 2 to 8, with 4 studies
 receiving a score of 7 or
 more.
Excluded descriptive reports
 and studies without
 comparison group.
 N = 10 studies
Content
 DM knowledge, early
 detection, exercise,
 nutrition, lifestyles,
 history and culture (Pima
 Indian community),
 compliance, access to
 primary care
Setting
 Delivered in community
 centers, community,
 hospital clinic, and by
 telephone
Behavioral
 Diet, physical activity,
 smoking, EtOH use
Knowledge
 DM self-management
 (nutrition, general DM),
 changes in medication
 regime
Other
 Cost to provide intervention
 Psychosocial
 Depression, social support,
 self-efficacy, and QOL
 QOL: 3 of 10 studies
Authors emphasize that
 DSME interventions for
 underserved populations
 should explicitly address
 social-contextual issues.
Authors suggest that
 interventions designed to
 be proactive, such as
 telephone follow-up and
 behaviorally focused DSME
 interventions incorporated
 within the primary care
 visits, have successful
 levels of implementation.
QOL instruments:
 Daniel et al, 1999-not
 reported; Glasgow et al,
 1992-assessed diabetes-
 specific QOL with a
 modified DCCT DQOL
 scale, no between-group
 statistical significance
 observed; Weinberger et
 al, 1995-measured HRQOL
 using the SF-36; statistical
 significance not observed.
Ellis SE, Speroff T, Dittus RS, Brown A, Pichert JW, Elasy TA. Diabetes patient education: a meta-analysis and meta-regression. Patient Educ Couns. 2004;52:97-105.
1990-12/2000: MEDLINE,
 CINAHL, HealthSTAR,
 ERIC, Science Citation
 Index, PsyclNFO, CRISP,
 and AADE database
Included English-language
 RCTs using educational,
 including nonpharmacological,
 intervention intended to
 improve patients’ health
 status (physical,
 intellectual, and/or
 psychosocial),
 interventions for adults,
 and reporting pre- and
 postintervention A1C
 values (at least 12 weeks
 postintervention).
 N = 28 studies
Elasy’s taxonomy used to
 categorize educational
 interventions and assess
 relationship between
 specific variables
 within the
 interventions and
 metabolic control.
Physiological
 A1C
Psychosocial
 HRQOL/QOL: not reported
Authors report only A1C
 measures, noting other
 important outcomes were
 neither uniformly available
 nor uniformly measured in
 the literature.
Component
 Didactic, negotiated goal
 setting; goal setting;
 situational problem
 solving; cognitive
 reframing; and other
 unspecified
Authors used meta-regression
 to identify “components” of
 the educational intervention
 that best explained
 variance in metabolic
 control. Meta-analysis
 supports the notion that
 patient education improves
 glycemic control.
Content
 Diet, exercise, self-
 monitoring blood glucose,
 basic diabetes
 knowledge, medication
 adherence, psychosocial,
 and other unspecified
The authors examined the
 impact of the number of
 “episodes” as well as the
 duration, and neither of
 these dose-related
 indicators predicted (was
 an indicator) an
 intervention’s success or
 failure.
Setting
 No reported setting.
 Referred solely to the
 number of recipients
Authors note that work would
 have been enhanced with
 the inclusion of behavioral
 outcomes.
Gary TL, Genkinger JM, Guallar E, Peyrot M, Brancati FL. Meta-analysis of randomized educational and behavioral interventions in type 2 diabetes. Diabetes Educ.
2003;29:488-501.
1966-1999: MEDLINE;
 Cochrane Collaboration
 database (1990-1999);
 references from experts,
 colleagues, previous
 meta-analyses, and
 review articles
Included published trials
 randomized by clinician
 and/or patient, sample
 size ≥ 10, English
 language; educational,
 counseling, or behavioral
 interventions aimed at
 long-term self-care
 behavior.
Components
 Individual and group
 counseling, instruction
 packets and audiovisual
 materials, telephone
 outreach; clinician
 prompting, clinician
 education, computer
 programs
Physiological
 FBG, total glycohemoglobin,
 hemoglobin A1 or
 hemoglobin A1C, body
 weight or BMI, blood
 pressure, and lipids
Psychosocial
 QOL: not reported
Authors assigned and
 categorized methodologic
 quality scores. Scores
 were grouped into low
 (<0.65), moderate (0.65-
 0.79), and high (≥ 0.80),
 with 5 studies receiving a
 quality rating of high.
Excluded published abstracts,
 type 1, drug interventions,
 and studies evaluating
 short-term effects.
 N = 18 studies
Content
 Patient-diet, exercise,
 medication regime
 changes or adherence,
 BGSM, and foot care
Authors found that compared
 with controls, most
 intervention groups
 produced a decline in
 glycohemoglobin.
 Furthermore, group and
 individual counseling
 produced similar effects.
Providers-methods to
 increase patient
 involvement, DM
 pathophysiology,
 complications, DM
 education, urine testing,
 and treatment/regimen
 adherence
Setting
 Outpatient clinic (96%)
Authors note that very few
 studies reported including
 African American or
 Hispanic individuals.
Authors cite few studies that
 have evaluated culturally
 sensitive interventions for
 African Americans and
 other ethnic minority
 populations, an issue that
 should be addressed.
Authors note lack of QOL
 measurement as a
 limitation.
Glazier RH, Bajcar J, Kennie NR, Willson K. A systematic review of interventions to improve diabetes care in socially disadvantaged populations. Diabetes Care. 2006;29:
1675-1688.
1986-2004: MEDLINE,
 EMBASE, CINAHL, Health
 STAR, Cochrane Library,
 Sociological Abstracts,
 Social Science Citation
 Index, and International
 Pharmaceutical Abstracts
Included RCT, CT, and
 before-and-after studies
 with a control group;
 studies aimed toward low
 SES or ethnic/racial
 minority or socially
 disadvantaged adults
 with type 1 and 2 DM.
 Included studies of any
 language that measured
 self-management,
 provider management, or
 clinical outcomes.
Elasy’s intervention
 taxonomy used to
 describe scope and
 components of the
 interventions.
Physiologic
 FBG.A1C, BP, BMI, lipids,
 mortality, DM
 complications
Patient behavior
 Glucose monitoring, diet and
 exercise, medication
 adherence and self-
 adjustment, scheduling
 and/or attending
 scheduled medical
 appointments
Provider behavior
 Management: diagnostic
 testing, prescribing,
 referrals, educational and
 behavioral counseling
Psychosocial
 QOL: not reported
Studies focused on those
 groups with low SES or
 belonging to an ethno-
 racial minority. To evaluate
 methodological quality, the
 authors used an evaluation
 method to identify specific
 intervention features that
 are associated with
 successful or unsuccessful
 outcomes: (1) target
 of intervention,
 (2) intervention design,
 (3) setting, (4) delivery, and
 (5) intensity and duration.
Components
 Individualized assessment
 and goal setting,
 individual educational
 counseling, DSME,
 reminder cards,
 videotapes, support
 groups, case management,
 evidenced-based
 guidelines, community
 health workers/peer
 educators, group visits,
 treatment algorithms
Excluded: age-specific,
 gestational DM studies;
 studies that only reported
 hospital process of care
 measures; and those not
 specifying which socially
 disadvantaged group.
 N = 11 studies
Content
 DM knowledge, self-care,
 symptoms and treatment,
 exercise, nutrition, foot
 care, lifestyle, monitoring;
 clinician-focused
 evaluation and
 management of glycemic
 control, associated
 comorbidities and
 complications
Authors suggest that cultural
 tailoring, use of community
 educators or lay educators,
 one-on-one interventions,
 individualized
 assessment/reassessment,
 use of treatment
 algorithms, behavioral
 interventions, and patient
 feedback are all consistent
 with positive rate
 differences found in
 multiple studies.
Setting
 Primary care practice sites,
 hospitals, community-
 based clinics, community
 facilities (centers,
 churches), and telephone
High-intensity (>10 contacts)
 and delivery over a long
 time frame (≥ 6 months)
 were also associated with
 success intervention in
 disadvantaged groups.
Loveman E, Royle P, Waugh N. Specialist nurses in diabetes mellitus. Cochrane Database Syst Rev. 2003;(2):CD003286.
1966-11/2002: MEDLINE,
 Cochrane library,
 EMBASE, CINAHL, British
 Nursing Index, Royal
 College of Nursing Index,
 HealthSTAR, BIOSIS,
 PsyclNFO, Science
 Citation Index, Social
 Sciences Citation Index;
 hand-searched relevant
 journals and conference
 proceedings (1990-2001),
 reference lists, National
 Research register, Early
 Warning system and
 Current Controlled Trials
 registries
Included randomized
 controlled and controlled
 clinical trials designed to
 test effects of DNS/NCM
 interventions, trial
 duration 6 months.
Components
 DNS plus routine care
 versus routine care,
 automated calls with
 structured messages,
 treatment regime
 alterations led by
 DNS/NCM, treatment
 recommendations to PCP
 by DNS/NCM, and care
 coordination within
 primary care system
Content
 Goal setting and self-care
Setting
 Hospital, outpatient clinic,
 primary care system, and
 community
Physiological
 All trials used A1C as
 endpoint; short-term
 complications
 (hypoglycemic episodes,
 hyperglycemic incidents)
Methodologic quality of
 studies was assessed
 using factors included in
 Schulz and Jadad’s quality
 criteria: minimization of
 selection, attrition, and
 detection bias. Studies
 were then subdivided in
 the following categories:
 low, moderate, and high
 risk of bias.
Excluded studies with no
 control group, group
 education, no
 prespecified outcomes,
 other team members
 other than DNS/NCM
 involved delivering
 intervention, nurses not
 able to adjust treatments.
 N = 6 studies
Other
 Emergency room visits,
 hospitalizations
Psychosocial
 Quality of life
 QOL: 1 of 6 studies with no
 data presented
Other
 Prespecified outcomes
 established for this
 review but not included
 and/or reported in trials:
 long-term complications
 (retinopathy, neuropathy,
 and nephropathy),
 mortality, BMI, costs, and
 adverse effects
Authors noted that the quality
 of trials was mostly not
 good, making it difficult to
 assess the implications for
 practice. Future research
 suggestions include
 international observational
 studies to identify roles
 and time allocations;
 qualitative studies and
 RCTs of specialist nurse
 intervention.
Norris SL, Engelgau MM, Venkat Narayan KM. Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes
Care. 2001;24:561-587.
1/1980-12/1999: MEDLINE,
 ERIC, CINAHL, restricted
 to RCTs, hand-searched
 several relevant journals;
 abstracts and
 dissertations were
 excluded
Included English-language
 RCTs examining the
 effectiveness of self-
 management training, all
 or most subjects with
 type 2 DM, age >18,
 multicomponent
 interventions included (if
 educational component
 evaluated separately).
 Excluded children.
 N = 72 studies
Components
 Chart reminders, group
 and individual sessions,
 written information,
 videos, didactic
 education, individual
 sessions based on
 patient’s priorities, home
 visits, computer
 knowledge assessment
 program, feedback,
 behavior modification,
 contracts,
 demonstrations,
 food logs, nutrition
 goals, interactive
 computer, culturally
 appropriate flashcards,
 pharmacist, nursing
 students, dietitian , lay
 health worker,
 nurse-led sessions,
 psychologist-led
 group sessions,
 patient-led education,
 and self-study
 course
Physiological
 Weight, lipids, blood
 pressure, glycemic control
Behavioral
 Dietary, physical activity,
 self-care skills
Knowledge
 Diabetes
Other
 Economic measures; health
 care utilization
Psychosocial
 Attitudes, problem solving,
 anxiety levels, quality of
 life
 QOL: yes, in 5 studies
 Kaplan 1987-increase in
 QOL at 18 months for
 lifestyle intervention
 (intensive counseling on
 diet + physical activity).
 Gilden 1992-increase in
 QOL at 2 years follow-up
 for coping skills
 intervention (6 weekly
 sessions +18 monthly
 support group sessions).
Authors qualitatively
 summarized outcomes to
 generate hypotheses,
 categorize variables for
 quantitative syntheses, and
 illustrate the vast
 heterogeneity of methods
 and outcomes in the
 included literature.
Notably, the authors
 emphasize limited
 literature measuring QOL
 and long-term clinical
 outcomes. Authors
 advocate for a more
 holistic view of patients,
 including that QOL
 outcomes take precedence
 in future research and
 more diverse study
 populations.
Content Three studies (deWeerdt,
 Glasgow, Trento)
 considered “brief
 interventions” with no
 significant difference
 between intervention and
 control groups.
Physical activity, diet,
 nutrition, SMBG, weight
 loss, barriers, social
 support, foot care,
 general DM knowledge,
 self-adjustment of insulin,
 goal setting, problem
 solving, stress
 management, patient
 empowerment, self-
 control, self-management
Setting
 Not specifically identified in
 the review; described as
 heterogeneous
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.
Diabetes Care. 2002;25:1159-1171.
1980-1999: MEDLINE, ERIC,
 CINAHL; manual search
 of relevant journals, and
 experts were consulted
 for citations
Included English-language
 RCTs, DSME
 interventions, and other
 interventions
 when delivered in
 combination with
 DSME (if effect of DSME
 could be examined
 separately).
Components
 Didactic or collaborative
 DSME, individual and
 group education, support
 groups, home visits,
 dietician, flashcards by
 lay health workers, meal
 demonstration, feedback,
 telephone follow-up,
 psychologist-led group
 sessions, weight loss
 program, empowerment
 techniques, computer-
 assisted knowledge
 assessment and
 instruction
Physiological
 GHb, HbA1, HbA1c
Psychosocial
 QOL: not identified as a key
 outcome of this review
Meta-regression indicates no
 significant interactions
 except total contact. In 15
 studies, GHb
 measurements were
 reduced for every hour of
 additional contact, which
 approximates 23.6 hours
 of contact between an
 educator and patient to
 achieve a 1% reduction;
 brief intervention appears
 to be less effective.
Excluded abstracts and
 dissertations.
 N = 31 studies
Content
 Diet, physical activity, SMBG
 or urine glucose, foot
 care, coping, self-efficacy,
 identifying and preventing
 complications, goal
 setting, and modeling
Setting
 Clinic, home, and senior
 center
Authors suggest that
 psychosocial mediators,
 cultural relevancy, and
 health care system
 structure and primary care
 linkage may account for
 the heterogeneity in
 outcomes.
Authors stress that further
 research to identify
 predicators and correlates
 needs to focus on
 psychosocial attributes,
 social support, and
 problem-solving skills.
Norris SL, Nichols PJ, Caspersen CJ, et al. The effectiveness of disease and case management for people with diabetes: a systematic review. Am J Prev Med. 2002;
22(suppl 4):15-38.
1966-12/2000: MEDLINE,
 ERIC, CINAHL,
 HealthSTAR, Chronic
 Disease Prevention
 database (health
 promotion and education
 subfile), Combined Health
 Information Database,
 diabetes, health
 promotion and education
 subfile), journals hand-
 searched, reference list of
 included articles and
 consultation with team
 experts for relevant
 citations
Included published
 comparative study
 designs, English
 language, conducted in
 established market
 economies as defined by
 the World Bank, studies
 with primary investigation
 of disease (as defined by
 review team) and case
 management
 intervention, reported
 information on 1 or more
 outcomes of interest
 preselected by review
 team.
Components
 Disease or case
 management along with
 DSME, telemedicine
 support, insulin
 adjustment algorithms,
 group support, visit
 reminders, hospital
 discharge assessment
 and follow-up
Content
 Not applicable or not
 specified
Setting
 Managed care organizations
 and community clinics
Physiological
 A1C, weight, BMI, BP, and
 lipids
Behavioral
 SMBG, patient health care
 utilization; provider
 screening, monitoring and
 treatment): A1C, lipids,
 dilated eye exams, foot
 exams, proteinuria
Other
 Health care system: health
 insurance, provision of
 services, health care
 utilization (admissions,
 outpatient visits, length of
 stay), public health
 services, economic
 outcomes
Psychosocial
 Self-efficacy, patient
 satisfaction, quality of life
Authors note research gaps
 in the areas of intervention
 effectiveness on long-term
 health and QOL outcomes,
 as well as diverse
 populations and settings.
QOL Instrument: Peters et al
 (1998) used the SF-36
 with 2 (unspecified)
 diabetes- specific
 questions added.
Excluded: studies
 characterized as limited
 quality based on the
 number of threats to
 validity, dissertations, and
 abstracts.
 N = 42 studies
QOL: Assessed in 2 of 42
 studies (1 in adults and 1
 in children); adult cohort
 study reported relative
 change of +4.7%
 between groups.
Renders CM, Valk GD, Griffin SJ, Wagner EH, Eijk Van JT, Assendelft WJ. Interventions to improve the management of diabetes in primary care, outpatient, and community
settings: a systematic review. Diabetes Care. 2001;24:1821-1833.
1966-2000: MEDLINE,
 EMBASE, CINAHL, EPOC,
 and Cochrane clinical trial
 registries (1999);
 reference list of selected
 articles was reviewed
Included studies of
 effectiveness of
 interventions to improve
 process of care or patient
 outcomes among type 1
 or type 2 that had (1)
 randomized or quasi-
 experimental trials, (2)
 interrupted time series
 with defined interventions
 and a minimum of 3
 before-and-after time
 points, (3) nonrandomized
 studies with a second
 controlled site, and (4)
 predetermined measures
 of patient outcomes or
 the process of health
 care.
Components
 Professional (education,
 reminders, audit, and
 feedback); organizational
 (role revision, changes in
 medical record systems;
 patient education,
 learner-centered
 counseling, telephone
 follow-up for missed
 appointments); financial
 (fee for services and
 grants) or multistrategy
Content
 Provider-guidelines
 Patient-problem solving and
 decision making
Setting
 Primary care, outpatient,
 and community
Physiological
 Glycemic control, BP,
 cholesterol, BMI, weight,
 microvascular and/or
 macrovascular
 complications, albumin,
 creatinine
Behavioral
 Patient attendance, provider
 process measures:
 glycemic control, BP,
 weight, microvascular
 complications,
 cholesterol, visits,
 education, health survey,
 compliance care
 providers, albumin, urine
 protein, creatinine,
 hospitalizations
The authors note that
 complex professional
 interventions improved the
 process of care, but
 patient outcomes were
 rarely assessed, making it
 less clear to evaluate the
 impact. Furthermore, the
 authors emphasize that
 measuring both process
 and patient outcomes lead
 to better understanding of
 how to improve quality of
 care.
Excluded study interventions
 classified as only patient
 oriented.
 N = 41 studies
Other
 Hospitalizations, health care
 system process
 measures: glycemic
 control, BP, weight,
 cholesterol, visits,
 education, microvascular
 complications
Psychosocial
 Well-being, quality of life
 QOL: yes, but limited 3 of 41
 (2 QOL and 1 well-being)
 studies. QOL outcomes
 showed no effect in 2
 professional and
 organizational
 interventions; well-being
 reported as positive effect
 in 1 education
 intervention.
Sarkisian CA, Brown AF, Norris KC, Wintz RL, Mangione CM. A systematic review of diabetes self-care interventions for older, African American, or Latino adults. Diabetes
Educ. 2003;29:467-479.
01/1995-12/2000:
 MEDLINE, HealthSTAR,
 EMBASE, PsyclNFO,
 Ageline, and Sociological
 abstracts
Included English-language
 published intervention
 studies that described
 intervention aimed at
 changing knowledge,
 beliefs or behavior;
 targeted 1 or more of the
 following: age >55 years,
 African American or Latino
 adults with DM; and
 measure at least 1 of the
 preidentified outcomes:
 glycemic control, diabete-
 srelated symptoms, or
 quality of life.
 N = 12 studies
Components
 Group education plus
 exercise class; group
 sessions led by physician,
 nurse, or dietitian;
 didactic DM education
 alone or in combination
 with support groups,
 individual counseling,
 1-to-1 DM education,
 bicultural community
 health worker
 liaison, nutritionist,
 weekly pharmacist
 appointments, grocery
 store tour, follow-up
 phone calls, physician
 education
Physiological
 Glycemic control and
 diabetes-related
 symptoms (established as
 an outcome of interest by
 review authors but not
 assessed in any of the 12
 included studies)
Psychosocial
 Quality of life
HRQOL/QOL
 In 5 of 12 studies: 4 of 8
 RCTs and 1 of 4 pre/post
 designs; 1 RCT reported
 statistically significant
 improved QOL in the
 intervention arm (78
 points vs 71 points);
Authors were unable to
 summarize the effect of
 self-care interventions on
 quality of life because of
 the heterogeneity of QOL
 instruments.
The authors suggest that
 age- and culture-specific
 interventions be designed
 for clinical trials.
Content
 Exercise, nutrition, goal
 setting, “standard DM
 education curriculum,”
 others unspecified/unclear
Setting
 Noted as urban or rural
1 pre/post design
 reported improved mean
 scores on the QOL
 instrument, with no mean
 change in A1C at end of
 intervention.
Steed L, Cooke D, Newman S. A systematic review of psychosocial outcomes following education, self-management and psychological
interventions in diabetes mellitus.
Patient Educ Couns. 2003;51:5-15.
1980-2001: EMBASE,
 MEDLINE, Psyclit; hand
 search of reference list of
 reviews and retrieved
 papers
Included pre/post or
 controlled trial design
 studies published in
 English-language peer-
 reviewed journals, adults
 with type 1 or 2 DM,
 provision of DMSE or
 psychological intervention
 and assessed either QOL
 or psychological well-
 being.
Components
 Classified as education, self-
 management, or
 psychological biofeedback.
Content
 General education, diet,
 meal planning, goal
 setting, reinforcement,
 modeling, reward
 systems, problem solving,
 exercise sessions,
 behavior change
 maintenance, relaxation,
 communication skills, and
 social support
 Professional or layperson-
 led discussion groups
Setting
 Not reported
Psychosocial
 Overall psychological well-
 being, depression,
 anxiety, or emotional
 adjustment and QOL
HRQOUQOL
 Ten studies used a generic
 measure, 9 used a
 diabetes-specific
 measure, 1 used both,
 and 5 studies used an
 overall psychological
 well-being measure.
This review did not speak to
 issues related to minority
 or disadvantaged groups.
 The authors were unable
 to examine the efficacy of
 different intervention
 components; noted as the
 original aim of the review,
 multiple components in
 single studies and the
 overlap between
 components in different
 intervention categories
 hindered these attempts.
 Self-management
 interventions had
 beneficial impact on QOL.
 None of the included
 studies using psychological
Excluded interventions that
 provided only diet or
 exercise or intensive
 insulin regimens.
 N = 36 studies
Generic QOL measures: 2 of
 9 studies showed
 improvement relative to
 control; DM-specific QOL
 measures: 6 of 9 found
 improvement.
 Overall psychological well-
 being: 1 of 5 reported
 significant improvemen.
 Global and disease-specific
 QOL were not assessed in
 any of the psychological
 interventions.
Authors suggest that future
 research should use
 diabetes-specific studies
 measures within larger
 controlled trials.
QOL Instrument: SF-36 and
 DQOL were the most
 frequently used generic
 and diabetes-specific
 instruments, respectively.
van Dam HA, van der Horst F, van den Borne B, Ryckman R, Crebolder H. Provider-patient interaction in diabetes care: Effects on patient self-care and outcomes: a
systematic review. Patient Educ Couns. 2003;51:17-28.
1980-10/2001: MEDLINE
 Advanced, EMBASE,
 PsycIit/PsycINFO, and The
 Cochrane Library
Included English-language
 RCTs and quasi-
 experimental studies
 testing the effects of
 modification of patient-
 provider interaction and
 provider consulting style
 on DM self-care and
 outcomes.
Component
 Provider training,
 questionnaire prompts,
 feedback reports; patient-
 automated telephone
 calls, nurse telephone
 feedback, individual
 education, empowerment
 group ed. sessions, group
 consultations with doctor,
 and individual
 consultation with
 standard DM education
Physiological
 BP, lipids, BMI, GlyHb,
 general health,
 mortality
Behavioral
 Health behavior
Knowledge
 DM knowledge
Psychosocial
 Satisfaction, well-being,
 mental health, self-
 efficacy, DM-specific QOL
 scores
Methodological quality was
 assessed using a modified
 version of the Van Tulder
 criteria list; the authors
 include a table of the
 criteria. Nineteen items
 (questions) are categorized
 into the following
 categories: patient
 selection, interventions,
 outcome measurements,
 and statistics. The mean
 quality score was 17.3 out
 of 19 total points.
Excluded non-type 2 DM
 patients, case, case
 control, and
 nonexperimental studies.
 N = 8 studies
Content
 Provider-behavioral change,
 communications, patient-
 centered consulting,
 guidelines; patient-diet,
 self-care, problem
 solving/barriers, decision
 making
Setting
 General practice or hospital
 outpatient
Patient: communication,
 interaction, lifestyle,
 perception of care,
 functional, attitudes
 Provider: beliefs, attitudes,
 and behavior change;
 adherence to guidelines,
 time spent with patient
Authors emphasize a shift
 from the traditional
 medical model and toward
 a patient empowerment
 model with shared
 decision making.
HRQOUQOL
 In 2 of 8 studies:
 1 with no change in HRQOL
 scores and 1 with
 “better” QOL.
Authors note they found no
 evidence that the 3 most
 promising studies have
 ever been replicated
 among diverse patient
 populations or different
 care settings, thus causing
 alarm.

RCT, randomized controlled trial; DSME, diabetes self-management education; DM, diabetes mellitus; BP, blood pressure; FBG, fasting blood glucose; BMI, body mass index; QOL, quality of life; HRQOL, health-related quality of life; DQOL, diabetes quality of life; DCCT, Diabetes Control and Complications Trial Research Group; SES, socioeconomic status; PCP, primary care provider; CT, controlled trial; BGSM, blood glucose self-monitoring; DNS/NCM, diabetes nurse specialist/nurse case manager; SMBG, self-monitoring of blood glucose.

Inclusion and Exclusion Criteria for the Included Review Articles

Variable criteria were considered within each individual review. For example, some included only randomized trials (RCTs),27-32 whereas others included RCT, quasiexperimental, and/or other comparative design methods.33-37 Exclusion criteria also varied considerably across reviews. For example, some studies were excluded because they evaluated short-term effects32 or included only patient interventions.34

Intervention Type and Content

Numerous intervention approaches in a variety of settings were reported33,38 and included delivery by lay leaders and professionals from diverse health care disciplines.30,31 Many interventions included multiple components or strategies. Intervention content was loosely defined and, again, was broad and varied within each review.29 Content ranged from being unspecified to diet, nutrition, goal setting, problem solving, or simply described as “standard diabetes education curriculum.”

Terms such as disease management and case management are widely used, and their operational definitions are exceptionally broad and variable.35,37 The goal of disease management is improved short- and long-term health and/or economic outcomes. In particular, disease management interventions have been promoted, especially for costly, chronic conditions such as diabetes mellitus. For the included studies, settings were urban centers of managed care organizations and outpatient and community health clinics. A range of organizational, professional, and patient intervention components and strategies was included and supported multisystem approaches, which could lead to improvements in patient outcomes as well as process of care.35

Case management, one component of a multisystem collaborative approach, delivered in conjunction with disease management, can serve an important role for people at high risk for adverse outcomes and excess health care utilization. Furthermore, assessment, planning, linking, monitoring, advocacy, and outreach, described as essential core functions of case management, are complementary with the chronic care model (CCM).39 Yet, multicomponent approaches incorporating both disease and case management have been shown to improve outcomes as well as the process of care.30,34,35 The evidence suggests that DSME was routinely delivered across disease management and case management interventions. Moreover, integrating DSME across interventions could potentially help to costeffectively optimize outcomes, such as metabolic control and quality of life, and prevent complications.40,41

Impact, Process, and Outcomes Assessed

Seven of the review articles included in this review primarily focused on DSME interventions,27-29,31-33,36 specifically, the effect of DSME interventions on multiple physiological, psychological, behavioral, and knowledge processes and outcomes27,28,33 and, to a lesser extent, HRQOL.29,36 Notably, Steed and colleagues36 completed a systematic review of psychological outcomes (eg, psychological well-being and QOL) in 36 studies. They found that self-management interventions had more positive impact than educational interventions where patients received information only. Nine of the 36 studies reviewed by Steed et al used diabetes-specific QOL instruments; of these, 5 used the diabetes quality of life (DQOL).42 Six of the 9 trials found QOL improvement postintervention, with no significant difference reported in 3 of the studies. Overall, 6 trials found QOL improvement postintervention. However, no significant difference was reported in 3 of the 5 studies using the DQOL.

Outcome measures varied substantially across studies, making it difficult to compare results across interventions, and many studies lacked sufficient detail for replication. Even when glycemic control was assessed, a variety of different methods and reference values was used.32,34 Although outcomes for diabetes education research have historically focused on knowledge and glycemic control (A1C),43,44 researchers and clinicians generally agree that DSME should be integrated across multiple intervention strategies and encompass behavioral approaches to improve self-management outcomes.44 Also, several RCTs have demonstrated the value of blood pressure and other outcome variables. In addition, the outcomes of disease management, case management, and/or multisystem approaches to diabetes interventions are more often physiologic measures, as evidenced in Table 2.

The reviews identified few studies focusing on African Americans, particularly older African Americans. For example, in a review of self-care interventions designed to improve glycemic control or QOL in older, African American, or Latino adults, only 1 study among African Americans (n = 39) examined QOL.29

Discussion and Recommendations

Several key observations emerged from this review of reviews. Statements about the “state of sciences” are enormously challenging as the reviews demonstrate great heterogeneity in terms of intervention type, content, participants, and outcome measures. The language used to describe interventions varies, and diverse disciplines were involved in the delivery of sometimes complex interventions. The limited description of intervention and content included in these approaches limits the possibility of replication and necessitates cautious comparison between studies. Although a diabetes intervention taxonomy45 is suggested and sometimes used28,46 to systematically describe the components of interventions, intervention heterogeneity remains commonplace in the current literature, making it difficult to compare results. Thus, researchers and educators should seriously consider opportunities to uniformly categorize interventions, at least for descriptive purposes.

With respect to the operational definition of outcome categories,6 clearly the most frequently used clinical improvement (postintermediate) outcome measured was A1C, and the least measured were health status improvement and QOL (long-term) outcome measures.10,16,47,48 Review articles reported limited information about instruments used in the included studies. Where available, identified QOL instruments have been included in Table 2. Overall, the most frequently cited instruments were the SF-3649 and DQOL50 to measure general and diabetes-specific QOL, respectively. Moreover, when considering key outcomes for studies, in addition to including physiological outcomes, additional patientreported outcomes should be considered. Addressing the importance of patients’ perceptions of the effects of chronic illness and its treatment has the potential to significantly improve overall DM management.51 Noted researchers32 emphasized the exclusion of outcomes such as QOL as a limitation. As telling, having looked at only A1C, other review authors28 suggest their work would have been enhanced with the inclusion of behavioral outcomes. Given the complexity of factors at many levels, which can affect processes, impact, and outcomes of care, investigators and clinicians should mindfully seek clarity in operational definitions and in better understanding the relationships of the various factors.

Interventions tailored toward high-risk populations, such as African Americans or the aged, or those with limited literacy skills have been emphasized, yet cultural relevance, literacy, and age-related concerns of interventions have been neglected in the current literature. Although several review authors31-33,46 suggest sociocultural context as an important indicator, only 3 of 12 review articles were solely dedicated to such areas. For example, Sarkisian et al29 was the only review specifically focused on older high-risk racial and ethnic groups, whereas Eakin et al33 and Glazier et al46 defined their populations of interest as low socioeconomic status (SES) or socially disadvantaged ethnic and racial adults.

The broader behavioral literature regarding tailoring of interventions must describe the lessons learned. Complete and accurate descriptions of interventions will encourage further analysis and determine interventions’ effectiveness, structure, process, and outcomes. Although attempts have been made to characterize interventions28,33,46 and employ meta-analysis,28,31,32 incomplete study descriptions and variations in content and components continue to hamper comparability. There is an urgent need to provide and document well-designed studies, systematically describing components. More important, presenting adequate information for assessments regarding study quality and broader comparability can advance the science and care of diabetes.

There are several limitations to this review of reviews. The authors were able to evaluate only what was reported, not what may in fact have been done. Together with the methodological strengths and weaknesses of the included studies, limitations of the reviews must also be considered. Finally, the search strategy and inclusion criteria for the current review may be perceived as too narrow, given that only published studies in English-language journals were selected. It is acknowledged that journal space limits what may be included in articles. Unfortunately, descriptions of intervention research fail to provide evidence of culturally tailored interventions. Also, literacy, which is known to affect care and outcomes, has not been adequately addressed. Very few studies included and/or focused on African Americans; thus, enormous gaps related to racial and ethnic groups in the literature remain.

In conclusion, this review of reviews of intervention studies shows that effects on long-term health and quality-of-life outcomes have not been adequately assessed in the current literature.30,34,35 Previous reviews26,52 provide evidence that patient-assessed health status differs from those proxy assessments made by health professionals. Although several important conceptual frameworks13,53-55 and proponents have confirmed the relevance of HRQOL as an outcome capable of affecting the effectiveness of interventions and utilization behavior, the available evidence fails to actualize HRQOL as a priority targeted outcome. Research is needed to assess long-term outcomes, such as HRQOL and its impact on specific components of interventions, particularly among diverse populations. Other researchers10,16,47,48 suggest that the initial priority should be on evaluating and refining existing HRQOL instruments. Our review confirms minimal to no testing in certain high-risk groups (Table 2). The need for disease-specific instruments, specifically validated in African Americans, becomes particularly evident in this context. Both qualitative and quantitative methods can and should be used to assess and refine existing instruments, as well as in using population-specific validated instruments to measure outcomes of clearly articulated and described interventions.

References

  • 1.Bertoni AG, Krop JS, Anderson GF, Brancati FL. Diabetes-related morbidity and mortality in a national sample of U.S. elders. Diabetes Care. 2002;25:471–475. doi: 10.2337/diacare.25.3.471. [DOI] [PubMed] [Google Scholar]
  • 2.Fain JA. Understanding the importance of diabetes education outcomes: position statement and technical review. Diabetes Educ. 2003;29:708. doi: 10.1177/014572170302900501. [DOI] [PubMed] [Google Scholar]
  • 3.American Association of Diabetes Educators (AADE) Standards for outcomes measurement of diabetes self-management education. Diabetes Educ. 2003;29:804–816. doi: 10.1177/014572170302900510. [DOI] [PubMed] [Google Scholar]
  • 4.AADE position statement: individualization of diabetes self-management education. Diabetes Educ. 2007;33:45–49. doi: 10.1177/0145721706298308. [DOI] [PubMed] [Google Scholar]
  • 5.AADE position statement: cultural sensitivity and diabetes education: recommendations for diabetes educators. Diabetes Educ. 2007;33:41–44. doi: 10.1177/0145721706298202. [DOI] [PubMed] [Google Scholar]
  • 6.Mulcahy K, Maryniuk M, Peeples M, et al. Diabetes self-management education core outcomes measures. Diabetes Educ. 2003;29:768–803. doi: 10.1177/014572170302900509. [DOI] [PubMed] [Google Scholar]
  • 7.AADE AADE … an organization on the move: definition of diabetes. Audio conference. 2007 May 8; [Google Scholar]
  • 8.American Diabetes Association (ADA) [Accessed February 15, 2004];Diabetes statistics for African Americans. Available at: http://www.diabetes.org/diabetes-statistics/african-americans.jsp.
  • 9.Eyre H, Kahn R, Robertson RM. Preventing cancer, cardiovascular disease, and diabetes: a common agenda for the American Cancer Society, the American Diabetes Association, and the American Heart Association. Diabetes Care. 2004;27:1812–1824. doi: 10.2337/diacare.27.7.1812. [DOI] [PubMed] [Google Scholar]
  • 10.Rubin RR, Peyrot M. Quality of life and diabetes. Diabetes Metab Res Rev. 1999;15:205–218. doi: 10.1002/(sici)1520-7560(199905/06)15:3<205::aid-dmrr29>3.0.co;2-o. [DOI] [PubMed] [Google Scholar]
  • 11.Centers for Disease Control and Prevention (CDC) National Diabetes Fact Sheet: General Information and National Estimates on Diabetes in the United States, 2003. Rev ed CDC; Atlanta, GA: 2004. [Google Scholar]
  • 12.Donabedian A. The Definition of Quality and Approaches to Its Assessment. Vol. 2. Health Administration Press; Ann Arbor, MI: 1980. [Google Scholar]
  • 13.Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1:2–4. [PubMed] [Google Scholar]
  • 14.Zapka JG, Taplin SH, Solberg LI, Manos MM. A framework for improving quality of cancer care: the case of breast and cervical cancer screening. Cancer Epidemiol Biomarkers Prev. 2003;12:4–13. [PubMed] [Google Scholar]
  • 15.Fortin M, Lapointe L, Hudon C, Vanasse A, Ntetu A, Maltais D. Multimorbidity and quality of life in primary care: a systematic review. Health Qual Life Outcomes. 2004;2:51. doi: 10.1186/1477-7525-2-51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Snoek FJ. Quality of life: a closer look at measuring patients’ well-being. Diabetes Spectrum. 2000;13:24–28. [Google Scholar]
  • 17.Stuifbergen AK, Seraphine A, Roberts G. An explanatory model of health promotion and quality of life in chronic disabling conditions. Nurs Res. 2000;49:122–129. doi: 10.1097/00006199-200005000-00002. [DOI] [PubMed] [Google Scholar]
  • 18.Garratt AM, Schmidt L, Fitzpatrick R. Patient-assessed health outcome measures for diabetes: a structured review. Diabetic Med. 2002;19:1–11. doi: 10.1046/j.1464-5491.2002.00650.x. [DOI] [PubMed] [Google Scholar]
  • 19.World Health Organization Quality of Life Assessment (WHO-QOL) What quality of life? Vol. 17. The WHOQOL Group. World Health Forum; 1996. pp. 354–356. [PubMed] [Google Scholar]
  • 20.Glasgow RE, Ruggiero L, Eakin EG, Dryfoos J, Chobanian L. Quality of life and associated characteristics in a large national sample of adults with diabetes. Diabetes Care. 1997;20:562–567. doi: 10.2337/diacare.20.4.562. [DOI] [PubMed] [Google Scholar]
  • 21.Hill-Briggs F, Gary TL, Hill MN, Bone LR, Brancati FL. Health-related quality of life in urban African Americans with type 2 diabetes. J Gen Intern Med. 2002;17:412–419. doi: 10.1046/j.1525-1497.2002.11002.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.United Kingdom Prospective Diabetes Study Group (UKPDS) Quality of life in type 2 diabetic patients is affected by complications but not by intensive policies to improve blood glucose or blood pressure control (UKPDS 37). U.K. Prospective Diabetes Study Group. Diabetes Care. 1999;22:1125–1136. doi: 10.2337/diacare.22.7.1125. [DOI] [PubMed] [Google Scholar]
  • 23.US Department of Health and Human Services [Accessed January 6, 2002];Healthy People 2010. Available at: www.health.gov.healthypeople.
  • 24.Centers for Disease Control and Prevention (CDC) Measuring Healthy Days: Population Assessment of Health-Related Quality of Life. CDC; Atlanta, GA: 2000. [Google Scholar]
  • 25.Polonsky WH. Understanding and assessing diabetes-specific quality of life. Diabetes Spectrum. 2000;13:36–41. [Google Scholar]
  • 26.McHorney CA. Health status assessment methods for adults: past accomplishments and future challenges. Annu Rev Public Health. 1999;20:309–335. doi: 10.1146/annurev.publhealth.20.1.309. [DOI] [PubMed] [Google Scholar]
  • 27.Norris SL, Engelgau MM, Venkat Narayan KM. Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes Care. 2001;24:561–587. doi: 10.2337/diacare.24.3.561. [DOI] [PubMed] [Google Scholar]
  • 28.Ellis SE, Speroff T, Dittus RS, Brown A, Pichert JW, Elasy TA. Diabetes patient education: a meta-analysis and meta-regression. Patient Educ Couns. 2004;52:97–105. doi: 10.1016/s0738-3991(03)00016-8. [DOI] [PubMed] [Google Scholar]
  • 29.Sarkisian CA, Brown AF, Norris KC, Wintz RL, Mangione CM. A systematic review of diabetes self-care interventions for older, African American, or Latino adults. Diabetes Educ. 2003;29:467–479. doi: 10.1177/014572170302900311. [DOI] [PubMed] [Google Scholar]
  • 30.van Dam HA, van der Horst F, van den Borne B, Ryckman R, Crebolder H. Provider-patient interaction in diabetes care: effects on patient self-care and outcomes. A systematic review. Patient Educ Couns. 2003;51:17–28. doi: 10.1016/s0738-3991(02)00122-2. [DOI] [PubMed] [Google Scholar]
  • 31.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. Diabetes Care. 2002;25:1159–1171. doi: 10.2337/diacare.25.7.1159. [DOI] [PubMed] [Google Scholar]
  • 32.Gary TL, Genkinger JM, Guallar E, Peyrot M, Brancati FL. Meta-analysis of randomized educational and behavioral interventions in type 2 diabetes. Diabetes Educ. 2003;29:488–501. doi: 10.1177/014572170302900313. [DOI] [PubMed] [Google Scholar]
  • 33.Eakin EG, Bull SS, Glasgow RE, Mason M. Reaching those most in need: a review of diabetes self-management interventions in disadvantaged populations. Diabetes Metab Res Rev. 2002;18:26–35. doi: 10.1002/dmrr.266. [DOI] [PubMed] [Google Scholar]
  • 34.Renders CM, Valk GD, Griffin SJ, Wagner EH, Eijk Van JT, Assendelft WJ. Interventions to improve the management of diabetes in primary care, outpatient, and community settings: a systematic review. Diabetes Care. 2001;24:1821–1833. doi: 10.2337/diacare.24.10.1821. [DOI] [PubMed] [Google Scholar]
  • 35.Norris SL, Nichols PJ, Caspersen CJ, et al. The effectiveness of disease and case management for people with diabetes: a systematic review. Am J Prev Med. 2002;22(suppl):15–38. doi: 10.1016/s0749-3797(02)00423-3. [DOI] [PubMed] [Google Scholar]
  • 36.Steed L, Cooke D, Newman S. A systematic review of psychosocial outcomes following education, self-management and psychological interventions in diabetes mellitus. Patient Educ Couns. 2003;51:5–15. doi: 10.1016/s0738-3991(02)00213-6. [DOI] [PubMed] [Google Scholar]
  • 37.Loveman E, Royle P, Waugh N. Specialist nurses in diabetes mellitus. Cochrane Database Syst Rev. 2003;(2):CD003286. doi: 10.1002/14651858.CD003286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Norris SL, Nichols PJ, Caspersen CJ, et al. Increasing diabetes self-management education in community settings: a systematic review. Am J Prev Med. 2002;22(suppl 4):39–66. doi: 10.1016/s0749-3797(02)00424-5. [DOI] [PubMed] [Google Scholar]
  • 39.Schaefer J, Davis C. Case management and the chronic care model: a multidisciplinary role. Lippincott Case Manag. 2004;9:96–103. doi: 10.1097/00129234-200403000-00007. [DOI] [PubMed] [Google Scholar]
  • 40.Mulcahy K, Maryniuk M, Peeples M, et al. Diabetes self-management education core outcomes measures. Diabetes Educ. 2003;29:768–803. doi: 10.1177/014572170302900509. [DOI] [PubMed] [Google Scholar]
  • 41.Mensing C, Boucher J, Cypress M, et al. National standards for diabetes self-management education. Diabetes Care. 2005;28(suppl 1):S72–S79. doi: 10.2337/diacare.28.suppl_1.s72. [DOI] [PubMed] [Google Scholar]
  • 42.Diabetes Control and Complications Trial Research Group (DCCT) Reliability and validity of a diabetes quality-of-life measure for the diabetes control and complications trial (DCCT). The DCCT Research Group. Diabetes Care. 1988;11:725–732. doi: 10.2337/diacare.11.9.725. [DOI] [PubMed] [Google Scholar]
  • 43.Glasgow RE. Outcomes of and for diabetes education research. Diabetes Educ. 1999;25(suppl 6):74–88. doi: 10.1177/014572179902500625. [DOI] [PubMed] [Google Scholar]
  • 44.Brown SA. Interventions to promote diabetes self-management: state of the science. Diabetes Educ. 1999;25(suppl 6):52–61. doi: 10.1177/014572179902500623. [DOI] [PubMed] [Google Scholar]
  • 45.Elasy TA, Ellis SE, Brown A, Pichert JW. A taxonomy for diabetes educational interventions. Patient Educ Couns. 2001;43:121–127. doi: 10.1016/s0738-3991(00)00150-6. [DOI] [PubMed] [Google Scholar]
  • 46.Glazier RH, Bajcar J, Kennie NR, Willson K. A systematic review of interventions to improve diabetes care in socially disadvantaged populations. Diabetes Care. 2006;29:1675–1688. doi: 10.2337/dc05-1942. [DOI] [PubMed] [Google Scholar]
  • 47.Garratt A, Schmidt L, Mackintosh A, Fitzpatrick R. Quality of life measurement: bibliographic study of patient assessed health outcome measures. BMJ. 2002;324:1417. doi: 10.1136/bmj.324.7351.1417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wildes K, Greisinger A, O’Malley K. Review of quality of life measures for patients with diabetes: report of the Measurement Excellence and Training Resource Information Center, Houston Center for Quality of Care and Utilization Studies, and the Houston VA Medical Center. Available at: http://www.measurementexperts.org/learn/practice/tf-diabetes.asp.
  • 49.Ware JE, Jr, Sherbourne C. The MOS 36-item short-form health survey (SF-36) Med Care. 1992;30:473–483. [PubMed] [Google Scholar]
  • 50.The DCCT Research Group Reliability and validity of a diabetes quality-of-life measure for the diabetes control and complications trial (DCCT) Diabetes Care. 1988;11:725–732. doi: 10.2337/diacare.11.9.725. [DOI] [PubMed] [Google Scholar]
  • 51.Bradley C, Speight J. Patient perceptions of diabetes and diabetes therapy: assessing quality of life. Diabetes Metab Res Rev. 2002;18(suppl 3):S64–S69. doi: 10.1002/dmrr.279. [DOI] [PubMed] [Google Scholar]
  • 52.Woodend AK, Nair RC, Tang AS. Definition of life quality from a patient versus health care professional prospective. Int J Rehabil Res. 1997;20:71–80. doi: 10.1097/00004356-199703000-00006. [DOI] [PubMed] [Google Scholar]
  • 53.Green LW, Kreutner MW. Health Program Planning: An Educational and Ecological Approach with PowerWeb Bind-in Card. 4th ed. McGraw-Hill Higher Education; New York: 2005. [Google Scholar]
  • 54.Aday LA, Andersen R. A framework for the study of access to medical care. Health Serv Res. 1974;9:208–220. [PMC free article] [PubMed] [Google Scholar]
  • 55.Phillips KA, Morrison KR, Andersen R, Aday LA. Understanding the context of healthcare utilization: assessing environmental and provider-related variables in the behavioral model of utilization. Health Serv Res. 1998;33:571. [PMC free article] [PubMed] [Google Scholar]

RESOURCES