Literature DB >> 22028802

Current guidelines have limited applicability to patients with comorbid conditions: a systematic analysis of evidence-based guidelines.

Marjolein Lugtenberg1, Jako S Burgers, Carolyn Clancy, Gert P Westert, Eric C Schneider.   

Abstract

BACKGROUND: Guidelines traditionally focus on the diagnosis and treatment of single diseases. As almost half of the patients with a chronic disease have more than one disease, the applicability of guidelines may be limited. The aim of this study was to assess the extent that guidelines address comorbidity and to assess the supporting evidence of recommendations related to comorbidity. METHODOLOGY/PRINCIPAL
FINDINGS: We conducted a systematic analysis of evidence-based guidelines focusing on four highly prevalent chronic conditions with a high impact on quality of life: chronic obstructive pulmonary disease, depressive disorder, diabetes mellitus type 2, and osteoarthritis. Data were abstracted from each guideline on the extent that comorbidity was addressed (general comments, specific recommendations), the type of comorbidity discussed (concordant, discordant), and the supporting evidence of the comorbidity-related recommendations (level of evidence, translation of evidence). Of the 20 guidelines, 17 (85%) addressed the issue of comorbidity and 14 (70%) provided specific recommendations on comorbidity. In general, the guidelines included few recommendations on patients with comorbidity (mean 3 recommendations per guideline, range 0 to 26). Of the 59 comorbidity-related recommendations provided, 46 (78%) addressed concordant comorbidities, 8 (14%) discordant comorbidities, and for 5 (8%) the type of comorbidity was not specified. The strength of the supporting evidence was moderate for 25% (15/59) and low for 37% (22/59) of the recommendations. In addition, for 73% (43/59) of the recommendations the evidence was not adequately translated into the guidelines.
CONCLUSIONS/SIGNIFICANCE: Our study showed that the applicability of current evidence-based guidelines to patients with comorbid conditions is limited. Most guidelines do not provide explicit guidance on treatment of patients with comorbidity, particularly for discordant combinations. Guidelines should be more explicit about the applicability of their recommendations to patients with comorbidity. Future clinical trials should also include patients with the most prevalent combinations of chronic conditions.

Entities:  

Mesh:

Year:  2011        PMID: 22028802      PMCID: PMC3197602          DOI: 10.1371/journal.pone.0025987

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Traditionally, medical care is focused on the prevention, diagnosis and treatment of single diseases [1]. Most research studies focus on the effectiveness of disease-specific interventions and patients with comorbidity or complex problems are often excluded from clinical trials [2], [3]. In clinical practice, physicians are encouraged to adhere to evidence-based clinical practice guidelines (CPGs), as these are regarded as important tools for quality improvement [4]. In line with both clinical practice and research traditions, most CPGs are disease-oriented documents focusing on the diagnosis and management of single diseases [5]. The emphasis of CPGs on single diseases may be problematic. Almost half of patients with chronic diseases have more than one disease [6], [7]. Managing multiple conditions is more complex than managing single diseases and clinicians may find it challenging to provide optimal care for patients with multiple conditions [8]–[10]. Particularly when conditions are discordant, i.e. if they are not directly related in either their pathogenesis or management and do not share an underlying predisposing factor, patients are more likely to report conflicting instructions and problems with coordination of care [11]–[13]. To the extent that CPGs focus on single diseases, they may offer insufficient guidance to physicians about care for patients with multiple conditions. Lack of applicability of CPGs due to comorbidity may pose an important barrier to guideline adherence among physicians [14], [15]. Moreover, adhering to single disease CPGs in caring for patients with multiple conditions may adversely affect patient safety, if recommended treatments for one condition conflict with those for another condition [16]. Although prior studies suggest that physicians may find it challenging to provide care to patients with comorbidity, there are few systematic assessments of the comorbidity-related content of CPGs, and in particular the quality of the evidence that supports that content. The aim of this study was to explore the applicability of CPGs to patients with comorbidity by assessing the extent to which CPGs on high-prevalence chronic conditions address comorbidity and by assessing the quality of the evidence cited in support of recommendations related to comorbidity.

Methods

Data sources

Two publicly-available international databases, the National Guideline Clearinghouse (NGC) and the Guidelines International Network Library (G-I-N),were used to select the guidelines.

Study selection

Selection of chronic conditions

In selecting the conditions, we focused on highly prevalent chronic diseases that have a high impact on quality of life. Both major depressive disorder [17], [18] and diabetes mellitus type 2 [19], [20] are highly prevalent and have been found to have a high impact on quality of life, particularly in combination [17], [21]. We also included chronic obstructive pulmonary disease (COPD) and osteoarthritis, as pain and dyspnea may have a considerable impact on quality of life as well.

Selection of clinical practice guidelines

Guidelines were included if they: included a set of recommendations with an explicit link to their supporting evidence; were published in 2005 or later; addressed the treatment or management of the selected conditions; were published in English; were accessible in the public domain. CPGs were excluded if they focused on a specific subgroup of patients (e.g. pregnant women, children, adolescents, homeless people).

Data extraction

One of the investigators (ML) abstracted data from the selected CPGs and the abstraction process was checked by a second investigator (JB). Any disagreement was resolved by discussion. General data were retrieved from the CPGs, and more detailed information was collected on the specific recommendations addressing comorbidity and their supporting evidence: General characteristics of the guideline: title; organization; country; target group; year of publication; number of pages and references; number of treatment recommendations. Characteristics of the guideline related to comorbidity: issue of comorbidity addressed (prevalence data, screening/diagnosing for comorbidity; considering comorbidity in treatment); discussion of patient-centered aspects (such as goals and burden of treatment, incorporating patient preferences), inclusion of specific comorbidity-related treatment recommendations (number and proportion). A recommendation was defined as a statement whose apparent intent is to provide guidance about the advisability of a clinical action [22]. Contra-indications for medication or surgery were not considered as specific comorbidity-related recommendations, if no alternative treatments were provided. Type of recommendation: type of treatment addressed (general treatment, drug therapy, life-style advice, surgery, other); inclusion of patient-centered aspects. Number of comorbid conditions addressed; Type of comorbidity addressed: concordant or discordant. Concordant conditions were defined as representing the same overall pathophysiological risk profile and being more likely to be the focus of the same disease and self management plan [12]. Discordant treatments are not directly related in either their pathogenesis or management. For each of the included conditions the authors developed a scheme of concordant and discordant comorbidities ( File S1). For diabetes, we did not consider cardiovascular risk factors such as hypertension and hyperlipidemia as concordant conditions but as part of the disease, because adequate management of diabetes is cardiovascular risk management including monitoring blood pressure and lipids. Link with underlying evidence described; (yes, no) Number of underlying studies; Level of evidence of underlying studies: high, moderate, low, not available. As grading systems differ per guideline, we considered the highest level of evidence as high, the lowest level as low, and intermediate levels as moderate. Translation of evidence: good, moderate or poor/unclear. Our judgment was based on the directness of the evidence and on whether the strengths and limitations of the evidence were discussed in the guideline. The translation was graded as: ‘good’ if the supporting evidence of the studies focused (at least partly) on the comorbidity part of the recommendation and the strengths and limitations of the supporting evidence were discussed in the guideline; as ‘moderate’ if either the supporting evidence of the studies focused (at least partly) on the comorbidity part of the recommendation or the strengths and limitations of the supporting evidence were discussed in the guideline; and as ‘poor or unclear’ if neither the supporting evidence of the studies focused on the comorbidity part of the recommendation nor were the strengths and limitations of the supporting evidence discussed in the guideline.

Results

A total of 20 CPGs met our inclusion criteria, having been published in English and in the public domain since 2005 (Table 1). Six of the CPGs addressed COPD, four addressed major depressive disorder, seven addressed diabetes mellitus type 2 and three addressed osteoarthritis.
Table 1

Basic characteristics of selected guidelines (N = 20).

Title of guidelineOrganization that developed guidelineCountryYearNo. of pagesNo. of references
COPD
1. Chronic obstructive pulmonary diseaseSingapore Ministry of HealthSingapore200684155
2. Diagnosis and management of Chronic obstructive pulmonary disease (COPD)Institute for Clinical Systems Improvement (ICSI)USA20095197
3. Diagnosis and management of stable chronic obstructive pulmonary disease: a clinical practice guideline from the American College of PhysiciansAmerican College of PhysiciansUSA2007654
4. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary diseaseGlobal Initiative for Chronic Obstructive Lung Disease - Disease Specific Society (WHO), National Heart, Lung, and Blood Institute (U.S.)Several countries200894435
5. Australian Lung Foundation & The Thoracic Society of Australia and New Zealand - The COPD-X Plan: Australian and New Zealand Guidelines for the management of Chronic Obstructive Pulmonary Disease 2006New Zealand Guidelines Group (NZGG)New Zealand200666243
6. Canadian Thoracic Society Recommendations for Management of Chronic Obstructive Pulmonary Disease, CTS (CA)Canadian Thoracic SocietyCanada200728366
DEPPRESIVE DISORDER (MAJOR)
7. Major depression in adults in primary careInstitute for Clinical Systems Improvement (ICSI)USA200884244
8. Identification of common mental disorders and management of depression in primary careNew Zealand Guidelines Group (NZGG)New Zealand2008188580
9. Using Second-Generation Antidepressants to Treat Depressive Disorders: A Clinical Practice Guideline from the American College of PhysiciansAmerican College of Physicians (ACP)USA200810100
10. A. Depression: the treatment and management of depression in adults (update) (CG90)National Institute for Health and Clinical Excellence (NICE)United Kingdom200964 (FG = 585)0 (FG>1000)
DIABETES MELLITUS TYPE 2
11. American Association of Clinical Endocrinologists medical guidelines for clinical practice for the management of diabetes mellitusAmerican Association of Clinical Endocrinologists, American College of EndocrinologyUSA200768564
12. Diabetes mellitusSingapore Ministry of HealthSingapore2006161260
13. Diagnosis and management of type 2 diabetes mellitus in adultsInstitute for Clinical Systems Improvement (ICSI)USA200889126
14. Guidelines on diabetes, pre-diabetes, and cardiovascular diseasesEuropean Society of CardiologySeveral European countries200772711
15. Standards of medical care in diabetesAmerican Diabetes AssociationUSA200843332
16. National evidence-based guidelines for type 2 diabetes mellitus (Part 1, 3, 4, 5 & 7)National Health and Medical Research Council (NHMRC)Australia2005928>1000
17. Type 2 diabetes - the management of type 2 diabetes (partial update)+newer agents (CG87)National Institute for Health and Clinical Excellence (NICE)United Kingdom2009151 (FG = 259)0 (FG = 414)
OSTEOARTHRITIS
18. Osteoarthritis of the kneesSingapore Ministry of HealthSingapore20075191
19. The care and management of osteoarthritis in adultsNational Institute for Health and Clinical Excellence (NICE)United Kingdom200822 (FG = 316)0 (FG = 386)
20. Ottawa Panel evidence-based clinical practice guidelines for therapeutic exercises and manual therapy in the management of osteoarthritisOttawa PanelCanada200565178

FG = Full guideline.

FG = Full guideline. Eight CPGs were retrieved from the G-I-N database, six from the NGC database and six were available in both databases. The largest share of these 20 CPGs was produced in the United States (n = 7). Nine CPGs were produced by governmental agencies; five by professional societies and six by other types of organizations. The CPGs were predominantly developed in 2008 (7/20) and in 2007 (5/20).

Applicability of guidelines to patients with comorbidity

Of the 20 guidelines, 17 (85%) addressed the issue of comorbidity (Table 2). Eight guidelines (40%) provided comorbidity prevalence data, 16 guidelines (80%) recommended screening for comorbid conditions and 17 guidelines (85%) recommended considering comorbidity in treatment. Guidelines on depressive disorder and diabetes mellitus type 2 (100%) more often addressed the issue of comorbidity compared to the guidelines on COPD (83%) and osteoarthritis (33%).
Table 2

Characteristics of guidelines in terms of addressing comorbidity (N = 20).

GuidelinesCOPD (N = 6)DEP (N = 4)DM II (N = 7)OA (N = 3)TOTAL (N = 20)
N%N%N%N%N%
Issue of comorbidity addressed 583410071001331785
Provision of comorbidity prevalence data350250229133840
Screening/diagnosing for comorbidity58337571001331680
Considering comorbidity in treatment583410071001331785
Inclusion of patient centered aspects4673754571331260
Includes specific comorbidity-related treatment recommendation(s) 35041006861331470
Mean number of recommendations per guideline (range)0.7(0–2)2.3(1–4)6.3(0–26)0.7(0–2)3.0(0–26)

COPD = Chronic Obstructive Pulmonary Disease; DEP = Major depressive disorder; DM II = Diabetes Mellitus type 2; OA = Osteoarthritis.

COPD = Chronic Obstructive Pulmonary Disease; DEP = Major depressive disorder; DM II = Diabetes Mellitus type 2; OA = Osteoarthritis. Fourteen (70%) guidelines provided specific treatment recommendation for patients with comorbid conditions. The number of recommendations varied from 1 to 26 per guideline, with an average of 3 per guideline. The guidelines on COPD and osteoarthritis provided the fewest numbers of recommendations (0.7 per guideline), whereas the guidelines on diabetes mellitus type 2 included an average of 6.3 comorbidity-related recommendations. The 20 guidelines provided a total of 59 comorbidity-related treatment recommendations (Table 3). Seventy-eight percent (46/59) of these recommendations addressed concordant comorbidities. Most of the diabetes mellitus type 2 guideline recommendations addressed concordant comorbidities such as coronary artery disease and heart failure. Relative to the other guidelines, the guidelines on depressive disorder included the largest proportion (33%) of recommendations on discordant comorbidities (such as cardiovascular disease). More than 90% of the recommendations were related to one comorbid condition; 10% focused on comorbidities in general and none of the recommendations specified the management of patients with more than one comorbid condition.
Table 3

Characteristics of comorbidity-related treatment recommendations (N = 59).

Comorbidity-related treatment recommendationsCOPD (N = 4)DEP (N = 9)DM II (N = 44)OA (N = 2)TOTAL (N = 59)
NNNNN%
Type of comorbidity addressed
concordant comorbidity353804678
discordant comorbidity1340814
not specified012258
Nr of comorbid conditions addressed
one comorbid condition484205492
multiple comorbidities000000
not specified012258
Type of recommendation
general treatment031047
drug therapy142703254
life-style advice001123
surgery0051610
other* 321001525
Includes patient centered aspects0340712

COPD = Chronic Obstructive Pulmonary Disease; DEP = Major depressive disorder; DM II = Diabetes Mellitus type 2; OA = Osteoarthritis.

*The category ‘other’ includes: psychological interventions, oxygen therapy, referral, assessment before flying, target levels, risk stratification.

COPD = Chronic Obstructive Pulmonary Disease; DEP = Major depressive disorder; DM II = Diabetes Mellitus type 2; OA = Osteoarthritis. *The category ‘other’ includes: psychological interventions, oxygen therapy, referral, assessment before flying, target levels, risk stratification. Fifty-four percent of the comorbidity-related recommendations concerned drug therapy (32/59); 25% related to other types of treatment such as psychotherapy or oxygen therapy (15/59). Few recommendations focused on surgery (10%; 6/59) and on life-style advice (3%; 2/59). Twelve percent of the recommendations (7/59) provided specific guidance on patient-centered aspects such as patient preferences, burden of disease and priority setting. The link between guideline recommendation statements and the supporting evidence was described for 97% of the recommendations (57/59). The number of underlying studies varied between 1 and 12 per recommendation. The level of evidence of the studies was generally weak: 37% of the recommendations (22/59) had a ‘low’ level of evidence; for 25% of the recommendations (15/59) the level of evidence was described as ‘moderate’ (Table 4 and 5).
Table 4

Evidence-base of comorbidity-related treatment recommendations (N = 59).

Comorbidity-related treatment recommendationsCOPD (N = 4)DEP (N = 9)DM II (N = 44)OA (N = 2)TOTAL (N = 59)
NNNNN%
Number of underlying studies
0 or unclear11711017
1–2341201932
3–4031101424
>4011411627
Level of evidence of the studies
high201401627
moderate121201525
low151602237
N.A.0222610
Translation of evidence
good021401627
moderate332202848
poor or unclear14821525

COPD = Chronic Obstructive Pulmonary Disease; DEP = Major depressive disorder; DM II = Diabetes Mellitus type 2; OA = Osteoarthritis.

Table 5

Examples of comorbidity-related treatment recommendations with different levels of supporting evidence.

Example of recommendation with moderate level of evidence and good translation of evidence
“Diabetic patients with acute myocardial infarction benefit from a tight glucometabolic control. This may be accomplished by different treatment strategies”
Level of evidence: MODERATE (Class IIa; Level B)
Translation of evidence: GOOD
“Metabolic support and control: There are several reasons why intensive metabolic control during an acute myocardial infarction should be of benefit [several studies are described ….]. Based on present knowledge, there is reasonable evidence to initiate glucose control by means of insulin infusion in diabetic patients who are admitted for AMIs with significantly elevated blood glucose levels in order to reach normoglycaemia as soon as possible. Patients admitted with relatively normal glucose levels may be handled with oral glucose-lowering agents. In the follow-up, both epidemiological data and recent trials support that continued strict glucose control is beneficial. The therapeutic regime to accomplish this goal may include diet, life styles strategies, oral agents, and insulin (see also section on life style and comprehensive management). Since there is no definite answer to which pharmacological treatment is the best choice, the final decision can be based on decisions by the physician-in-charge in collaboration with the patient. Most importantly, the effect on long-term glucose control has to be followed and the levels should be targeted to be as normal as possible. Several outcome studies with novel agents or regimens are ongoing and will report in the near future.”
Comment: Several studies are discussed directly targeting the group of diabetic patients with AMI. The strengths and limitations of the available evidence are clearly discussed and taken into consideration in making the final recommendation.
COPD = Chronic Obstructive Pulmonary Disease; DEP = Major depressive disorder; DM II = Diabetes Mellitus type 2; OA = Osteoarthritis. For 73% of the recommendations (43/59), the evidence underlying the studies was not adequately translated into the guideline with 48% (28/59) graded as ‘moderate’ and 25% (15/59) as ‘poor or unclear’ (Table 4 and 5). Translation of evidence was rated more frequently as ‘good’ for guidelines on diabetes mellitus type 2 (32% [14/44]) than those on depression (22% [2/9]); none of the guidelines on COPD and osteoarthritis received a ‘good’ rating for evidence translation (Table 4).

Discussion

Patients with multiple comorbid conditions are very frequently encountered in clinical practice. However, our results suggest that evidence-based guidelines on four relatively prevalent chronic diseases may have limited applicability to patients with comorbid conditions. Most of these guidelines do not provide explicit guidance on treatment of patients with specific combinations of diseases. If comorbidity is addressed in the guidelines, it is often discussed in general; few specific treatment recommendations for patients with comorbid conditions are provided, particularly for discordant combinations. Moreover, the evidence supporting the available comorbidity-related recommendations was generally limited, had moderate to poor quality, and was often not adequately translated into the guidelines. Among the guidelines in our study that included specific comorbidity-related recommendations, these recommendations were more likely to focus on concordant comorbidities with related treatment plans. We also found that none of the comorbidity-related recommendations specified the preferred action for patients with more than one concurrent condition. These results are consistent with previous American [16] and Australian [23] studies showing that guidelines pay little attention to patients with discordant comorbidities and to patients with multiple chronic conditions. This lack of attention contributes to limiting the applicability of single disease guidelines on patients with chronic diseases as almost one third of them have three or more conditions [24]. An important finding of our study is the limited evidence base that supports comorbidity-related recommendations. If specific recommendations for patients with comorbidity are provided, they are often based on limited evidence that is of moderate or poor quality. In addition, the supporting evidence rarely focuses directly on the groups of patients with comorbid conditions. Furthermore, the limitations of this evidence are not usually described in the guidelines. The failure to describe limitations of evidence in a guideline could give clinicians misplaced confidence in guideline recommendations. Consistent with previous studies, our findings indicate that the evidence base for patients with multiple chronic conditions is limited [2], [3]. The lack of evidence specific to comorbid conditions may explain the limited attention to comorbidity in the guidelines we studied. If future clinical trials included patients with comorbid conditions, at least for the most common combination of diseases and report the results, this would provide the evidence base that clinical guideline developers need [16], [25]. In light of the general absence of research evidence on patients with multiple conditions, guidelines should be more explicit about the applicability of their recommendations to patients with the most prevalent comorbid conditions and discuss the quality and directness of the evidence for these patients. This explicit approach should replace the implicit assumption that guideline recommendations are applicable to patients with comorbid conditions unless conflicting evidence is available [26], [27]. Our findings indicate that no systematic approach is used by guideline development groups for addressing comorbidity in guidelines. Compared to the guidelines on COPD, depressive disorder, and osteoarthritis, the guidelines on diabetes mellitus type 2 had better reporting of issues of comorbidity. Even for guidelines on the same condition, we found large variation between guidelines in the approach to addressing comorbidity. This applies to all levels of abstraction (guideline, recommendation, evidence). A previous study comparing diabetes guidelines from different countries, also found much variation in the supporting evidence, whereas the recommendations were similar [28]. It would be helpful to develop guidance, as part of a handbook or manual for guideline developers [29], [30] to facilitate and support this process and to create more uniformity. In addition, targeting educational activities to professional societies that do not yet incorporate comorbidity to a large extent in their guidelines might be useful. The main strength of our study is that we systematically assessed the content of an international sample of evidence-based national and international guidelines in terms of addressing comorbidity. The guidelines included in our study are among the best in the clinical areas of interest and were produced by prominent governmental agencies or professional organizations. Furthermore, by simultaneously assessing the underlying evidence of the comorbidity-related recommendations, we were able to determine whether guidance was provided on treatment of patients with comorbid conditions and also to what extent this guidance was based on high-quality evidence. Our study has several limitations. First, a limited number of chronic conditions were included in our study. Inclusion of a different set of chronic conditions could have yielded different results. However, we do not expect guidelines on other diseases to be more applicable to patients with multiple conditions than those for the included common conditions. Second, the number of selected guidelines varied between the conditions, with an overrepresentation of diabetes guidelines. This reflects the available number of high-quality guidelines on the selected diseases in the databases. Third, we did not assess all available comorbidity-related evidence for the included chronic conditions, but only the evidence that was described in the guidelines. A systematic search for evidence would be necessary to determine whether the guideline recommendations are based on the best available evidence. Future research on the selected conditions could be useful to draw firm conclusions on the availability of evidence for patients with multiple conditions, complementing the findings of our study. Among a selected set of high-quality current evidence-based guidelines on prevalent chronic diseases, there is limited guidance on treatment of patients with comorbid conditions. Although the issue of comorbidity is recognized by guidelines, very few specific recommendations are provided and these are generally based on limited evidence of low or moderate quality. The supporting evidence often does not focus directly on groups of patients with comorbid conditions and it is rare that guidelines adequately describe the limitations of the evidence. Given the increasing prevalence of patients with multiple chronic diseases, guidelines should at least be explicit and transparent about the applicability of their recommendations to populations of patients with the most common combination of diseases. A guide for guideline developers could facilitate a systematic and uniform approach. Classification of concordant and discordant comorbidities. (DOC) Click here for additional data file.
  28 in total

1.  Prevalence, expenditures, and complications of multiple chronic conditions in the elderly.

Authors:  Jennifer L Wolff; Barbara Starfield; Gerard Anderson
Journal:  Arch Intern Med       Date:  2002-11-11

2.  Absence of evidence is not evidence of absence.

Authors:  Phil Alderson
Journal:  BMJ       Date:  2004-02-28

3.  The Yale Guideline Recommendation Corpus: a representative sample of the knowledge content of guidelines.

Authors:  Tamseela Hussain; George Michel; Richard N Shiffman
Journal:  Int J Med Inform       Date:  2009-01-07       Impact factor: 4.046

4.  The treatment of unrelated disorders in patients with chronic medical diseases.

Authors:  D A Redelmeier; S H Tan; G L Booth
Journal:  N Engl J Med       Date:  1998-05-21       Impact factor: 91.245

5.  Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance.

Authors:  Cynthia M Boyd; Jonathan Darer; Chad Boult; Linda P Fried; Lisa Boult; Albert W Wu
Journal:  JAMA       Date:  2005-08-10       Impact factor: 56.272

6.  Improving the quality of medical care: building bridges among professional pride, payer profit, and patient satisfaction.

Authors:  R Grol
Journal:  JAMA       Date:  2001-11-28       Impact factor: 56.272

7.  The impact of type 2 diabetes mellitus on daily functioning.

Authors:  W J de Grauw; E H van de Lisdonk; R R Behr; W H van Gerwen; H J van den Hoogen; C van Weel
Journal:  Fam Pract       Date:  1999-04       Impact factor: 2.267

8.  Depression, chronic diseases, and decrements in health: results from the World Health Surveys.

Authors:  Saba Moussavi; Somnath Chatterji; Emese Verdes; Ajay Tandon; Vikram Patel; Bedirhan Ustun
Journal:  Lancet       Date:  2007-09-08       Impact factor: 79.321

9.  Quality of Australian clinical guidelines and relevance to the care of older people with multiple comorbid conditions.

Authors:  Agnes I Vitry; Ying Zhang
Journal:  Med J Aust       Date:  2008-10-06       Impact factor: 7.738

10.  Why don't physicians adhere to guideline recommendations in practice? An analysis of barriers among Dutch general practitioners.

Authors:  Marjolein Lugtenberg; Judith M Zegers-van Schaick; Gert P Westert; Jako S Burgers
Journal:  Implement Sci       Date:  2009-08-12       Impact factor: 7.327

View more
  87 in total

1.  GPs' management of polypharmacy and therapeutic dilemma in patients with multimorbidity: a cross-sectional survey of GPs in France.

Authors:  Hélène Carrier; Anna Zaytseva; Aurélie Bocquier; Patrick Villani; Hélène Verdoux; Martin Fortin; Pierre Verger
Journal:  Br J Gen Pract       Date:  2019-02-25       Impact factor: 5.386

2.  Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care.

Authors:  Christopher A Harle; Julie DiIulio; Sarah M Downs; Elizabeth C Danielson; Shilo Anders; Robert L Cook; Robert W Hurley; Burke W Mamlin; Laura G Militello
Journal:  Appl Clin Inform       Date:  2019-09-25       Impact factor: 2.342

3.  Guiding principles for the care of older adults with multimorbidity: an approach for clinicians: American Geriatrics Society Expert Panel on the Care of Older Adults with Multimorbidity.

Authors: 
Journal:  J Am Geriatr Soc       Date:  2012-09-19       Impact factor: 5.562

4.  Supporting a person-centred approach in clinical guidelines. A position paper of the Allied Health Community - Guidelines International Network (G-I-N).

Authors:  Simone A van Dulmen; Sue Lukersmith; Josephine Muxlow; Elaine Santa Mina; Maria W G Nijhuis-van der Sanden; Philip J van der Wees
Journal:  Health Expect       Date:  2013-10-14       Impact factor: 3.377

5.  Statinopause.

Authors:  Benjamin H Han; Yitzchak Weinberger; David Sutin
Journal:  J Gen Intern Med       Date:  2014-12       Impact factor: 5.128

Review 6.  Addressing multimorbidity in evidence integration and synthesis.

Authors:  Thomas A Trikalinos; Jodi B Segal; Cynthia M Boyd
Journal:  J Gen Intern Med       Date:  2014-01-18       Impact factor: 5.128

7.  Engaging Stakeholders to Inform Clinical Practice Guidelines That Address Multiple Chronic Conditions.

Authors:  Wendy L Bennett; Craig W Robbins; Elizabeth A Bayliss; Renee Wilson; Heather Tabano; Richard A Mularski; Wiley V Chan; Milo Puhan; Tsung Yu; Bruce Leff; Tianjing Li; Kay Dickersin; Carol Glover; Katie Maslow; Karen Armacost; Suzanne Mintz; Cynthia M Boyd
Journal:  J Gen Intern Med       Date:  2017-03-27       Impact factor: 5.128

8.  Decision Support for Diabetes in Scotland: Implementation and Evaluation of a Clinical Decision Support System.

Authors:  Nicholas Conway; Karen A Adamson; Scott G Cunningham; Alistair Emslie Smith; Peter Nyberg; Blair H Smith; Ann Wales; Deborah J Wake
Journal:  J Diabetes Sci Technol       Date:  2017-09-14

Review 9.  [Depression and diabetes mellitus type 2].

Authors:  M Deuschle; U Schweiger
Journal:  Nervenarzt       Date:  2012-11       Impact factor: 1.214

Review 10.  Evidence base in guideline generation in diabetes.

Authors:  I Mühlhauser; G Meyer
Journal:  Diabetologia       Date:  2013-03-09       Impact factor: 10.122

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