Patient navigators for people with chronic disease: protocol for a systematic review and meta-analysis
© Kelly et al.; licensee BioMed Central. 2015
Received: 29 October 2014
Accepted: 25 February 2015
Published: 14 March 2015
Individuals with chronic diseases may have difficulty optimizing their health and getting the care they need due to a combination of patient, provider, and health system level barriers. Patient navigator programs, in which trained personnel assess and assist patients in overcoming barriers to care, may improve care and outcomes for patients with chronic disease by providing an alternative approach to conventional information and support resources.
This systematic review will evaluate the evidence for patient navigator programs, compared to usual care, in patients with chronic disease. We will include RCTs, cluster RCTs, and quasi-randomized RCTs that study the effects of patient navigator programs on clinical outcomes, patient experience, and markers of adherence to care. Studies will be identified by searching MEDLINE, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL, PsycINFO, Social Work Abstracts, and the references of included studies. Two authors will screen titles and abstracts independently. Full texts will be reviewed for relevance and data extraction will be done independently by two authors. Studies will be included if they assess patients of any age with one or more chronic diseases. Outcomes will be categorized into groups characterized by their proximity to mechanism of action of the intervention: patient-level outcomes, intermediate outcomes, and process outcomes. Descriptive data about the elements of the patient navigator intervention will also be collected for potential subgroup analyses. Risk of bias will be assessed using the Effective Practice and Organisation of Care Group (EPOC) risk of bias tool. Data will be analyzed using random effects meta-analysis (relative risk for dichotomous data and mean difference for continuous data), if appropriate.
A comprehensive review of patient navigator programs, including a summary of the elements of programs that are associated with a successful intervention, does not yet exist. This systematic review will synthesize the evidence of the effect of patient navigator interventions on clinical and patient-oriented outcomes in populations across a comprehensive set of chronic diseases.
Systematic Review Registration
KeywordsPatient navigator Chronic disease Systematic review
Chronic diseases are a significant burden to patients and the health care system. They include both physical and mental illnesses and affect at least one third of all Canadians; of Canadian adults with a chronic disease, over a third have two or more conditions . People with chronic conditions have increased morbidity and consume substantially more health care resources than those without [1,2]. Adherence to guidelines and the achievement of treatment targets is associated with better outcomes and a lower rate of resource utilization for patients with chronic diseases [3-5]. For example, tight control of blood pressure in patients with type 2 diabetes leads to a significant increase in time to development of complications, without significantly increasing the total cost of care . Despite guidelines, many people with chronic diseases do not receive recommended care [6-9].
Individuals with chronic diseases may have difficulty achieving care goals due to a combination of patient, provider, and system level barriers . System level barriers include the inherent complexity of the health care system and poor access to primary or specialty care. At the provider level, barriers may include the lack of support systems to implement recommended care. Patient level barriers may include lack of awareness of publicly funded programs including community-based resources, financial constraints, competing priorities (e.g., family and work), and personal circumstances that make following complex care plans particularly challenging. Survey data have demonstrated that barriers for Canadians with a greater number of chronic conditions include being older, less educated, less well off financially, and living in a rural area .
Patient navigator programs may help patients with chronic disease achieve their care goals by providing a tailored approach to addressing their specific needs. Patient navigators are trained personnel who aid patients in overcoming barriers to care. The primary role of the navigator is not clinically oriented, and navigators may be nurses, social workers, or lay health workers. They differ from clinical case managers in that they provide no clinical care.
Patient navigator programs were originally established to reduce gaps in cancer care among marginalized populations  and are increasingly in use across the United States and Canada . All existing patient navigator programs have the underlying goal of helping patients to overcome modifiable barriers to care to achieve optimal outcomes [13-15]. Depending on the targeted barriers, specific tasks may include one or more of disease education [16,17], health system education [16,18,19], assistance with insurance coverage , aid in care coordination , and referral to community resources , among others.
To assess the effects of patient navigator services, compared with usual care, on the achievement of recommended processes of care and on patient-oriented outcomes in patients with chronic diseases.
To explore whether attributes of patient navigator programs explain heterogeneity in effect sizes observed.
Methods and design
Types of studies
Included studies will be limited to RCTs, cluster RCTs, and quasi-randomized RCTs.
Types of participants
Studies will be included when the subjects were patients who have or are being screened for one or more chronic conditions including those of acquired infectious etiology and inherited genetic predisposition. The chronic conditions included in Statistics Canada community surveys  that are expected to last 6 months or more will be considered, including asthma; arthritis; hypertension; migraine; COPD/emphysema; diabetes; heart disease; cancer; intestinal/stomach ulcers; stroke; urinary incontinence; inflammatory bowel disorder; dementia; mood disorders; anxiety disorders, with the addition of chronic kidney disease, which includes transplant recipients and patients on dialysis; and HIV/AIDS. Participants of all ages will be included and the intervention may be directed to either the patient or their immediate caregivers.
Studies with patients without one or more of the chronic diseases listed above will not be included.
Types of interventions
Studies that examine the effects of a patient navigator intervention will be considered. For the purposes of this review, a patient navigator is a person with or without a health care-related background that engages with patients on an individual basis to determine barriers to accessing care or following recommended guidelines, and provides information relevant to their specific circumstances in order to increase access to components of the health care system and to enhance their chronic disease care. Navigators do not provide clinical advice, but rather focus on helping patients to access, understand, or better utilize available health care resources. Navigators may go by a different name, e.g., promotoras, lay health worker, care guide, and so on, and any of these will be included if they meet the above definition. The navigator role must be formalized, as opposed to casual, untrained peer, family, or friend support. Peer support persons or former patients who have been formally trained in a navigator role will be included. The independent initiation of medical treatments or investigations will be considered to be out of scope of patient navigator programs. Professionals carrying out such tasks may be better defined as integrated or clinical case managers .
The comparator group will be no intervention, standard or usual care, or interventions of lower intensity, e.g., educational pamphlet. If more than one comparator group is used, we will choose the arm that most closely resembles usual or standard care.
Including a diverse group of chronic diseases will lead to predictably heterogeneous outcome measures. We have purposely kept our outcome list broad in order to include all relevant outcomes that may be reported. To facilitate our goal of summarizing the data, we will categorize outcomes into groups characterized by their proximity to mechanism of action of the intervention: patient-level outcomes, intermediate outcomes, and process outcomes. Patient-level measures of interest include mortality, health-related quality of life, and complications of suboptimal disease management such as cardiovascular events. Intermediate measures include disease-specific clinical measures such as glycemic control. Process measures include the expected immediate targets of the intervention such as increased access to appropriate service providers as well as adherence to recommended clinical actions including guideline-concordant use of medications or investigations. Finally, we will assess measures of patient experience and/or patient satisfaction with the navigator intervention.
Databases that will be searched are MEDLINE, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL, PsycINFO, and Social Work Abstracts. There will be no date restrictions. The MEDLINE search strategy was peer reviewed via PRESS (Appendix).
The search of online databases will include all languages of publication and will be tailored to specific databases by an expert librarian. In addition, the reference lists of included articles and systematic and narrative reviews identified in the electronic search will be reviewed.
Investigators of included published protocols will be contacted for information about other ongoing or unpublished studies.
Data collection and analysis
Two reviewers will screen titles and abstracts independently, and all studies potentially eligible for inclusion will be retained for full-text review. Two reviewers will then independently screen full-text articles for inclusion or exclusion. Disagreements will be resolved by discussion or with a third reviewer as required.
Description of data extracted from each included study
Type of study
RCT, cluster RCT, and quasi-randomized RCT
Country, care setting, e.g., community vs. hospital-based
Participant demographics and characteristics
Mean age, percentage female, illness under study
Details of patient navigator services
Professional background of navigators, scope of services, location and frequency of intervention
Control condition and use of co-interventions
Primary and secondary outcomes as defined by authors
Recruitment period, intervention duration, and total study duration
Changes in outcomes
Industry vs. other
Risk of bias assessment
The risk of bias criteria suggested by the Cochrane Effective Practice and Organisation of Care Group (EPOC) will be used to assess the risk of bias in each included study . The tool includes an assessment of bias in nine domains: sequence generation, allocation concealment, baseline outcome measurements between groups, similarity of baseline characteristics, completeness of data, blinding of outcome assessment, protection against contamination, selective outcome reporting, and other. The selective recruitment of cluster participants will be included as an additional domain for cluster RCTs. Two authors will independently assess risk of bias in each domain and report the risk of bias as high, low, or unclear. Disagreements will be resolved by discussion or with a third reviewer as needed.
For the primary analysis, all studies with outcomes in the above described categories will be grouped together and results will be summarized by outcome category. A goal of this study is to provide a quantitative assess-ment of the effects of patient navigator services over a predictably heterogeneous group of chronic diseases and outcomes. Therefore, due to anticipated variability in populations and interventions, we will use a stepped approach to data synthesis. If three or more studies report the same outcome within a category, and there are no apparent unit of analysis errors (or intraclass correlation coefficient (ICC) data are available), traditional random effects meta-analysis will be conducted, using standard methods to account for cluster trials as relevant [26,27]. We will report relative risk for dichotomous outcomes and standard mean difference for continuous outcomes. Heterogeneity will be assessed by visual inspection of forest plots, the chi2 test, and quantified by the I2 statistic. If significant clinical, methodological, or statistical (I2 value of 50% or more) heterogeneity exists, data will not be pooled.
For outcomes that do not meet these criteria but for which data are dichotomous and where there are three or more studies within a category, we will use a previously described quantitative strategy for reporting median effect sizes . First, for studies with multiple dichotomous outcomes that fall within a category of interest, for example adherence to recommended clinical action, the median effect size - the difference in proportions between the intervention and control - will be calculated for all reported outcomes in that category within that study. The median effect size will represent a single outcome for each study. These data will then be analyzed together and a median effect size and interquartile range across studies will be reported. This approach of using a ‘median of medians’ avoids the use of numerous assumptions to estimate the ICC and avoids skewing by outlying studies. For all other outcomes and circumstances, we will use a narrative approach to data synthesis.
Type of disease - cancer, mental health, chronic cardiovascular related diseases (i.e., hypertension, diabetes, cardiovascular disease), other diseases
Intensity/type of navigator services - lay navigators, professional navigator, telephone-based, in-person services, embedded within care team, external to care team
Patient demographic - adult, pediatric, elderly, >50% with low socioeconomic status, >50% minority patients.
A sensitivity analysis will be done in which we exclude studies at high risk of bias in any of the nine domains listed above. Further, we will perform an additional sensitivity analysis excluding studies focused on disease screening, due to the potential for substantial differences in patient populations and the behavior changes targeted by the intervention.
A comprehensive review of patient navigator programs, including a summary of the elements of programs that are associated with a successful intervention, does not yet exist in the literature. The reviews by Wells et al. and Paskett et al. found a total of 33 studies on patient navigator programs in cancer that reported on patient outcomes [15,21]. There was wide variation in intervention design, study design, and study quality. In addition, these reviews were restricted to cancer care and did not include a meta-analytic component. The purpose of the present study is to comprehensively and systematically synthesize the evidence of effect of patient navigator interventions on clinical and patient-oriented outcomes in populations across chronic diseases. A thorough and high-quality systematic review of patient navigator programs is needed to 1) translate the current evidence into effective navigator programs, 2) determine key outcomes for future intervention studies, and 3) identify areas for further study. This review will provide important information to those who are contemplating, implementing, or testing a similar intervention.
Canada Community Health Survey
congestive heart failure
chronic obstructive pulmonary disease
randomized controlled trial
This research is being done by the Interdisciplinary Chronic Disease Collaboration (ICDC). The ICDC is funded by Alberta Innovates Health Solutions - CRIO Team Grants Program.
We would like to thank Laure Perrier for peer reviewing the MEDLINE search strategy.
- Broemeling AM, Watson DE, Prebtani F. Population patterns of chronic health conditions, co-morbidity and healthcare use in Canada: implications for policy and practice. Healthc Q. 2008;11(3):70–6.View ArticlePubMedGoogle Scholar
- Health Council of Canada. How do sicker Canadians with chronic disease rate the health care system? Results from the 2011 Commonwealth Fund International Health Policy Survey of Sicker Adults, Canadian Health Care Matters, Bulletin 6. Toronto: Health Council of Canada; 2011. www.healthcouncilcanada.ca.Google Scholar
- UK Prospective Diabetes Study Group. Cost effectiveness analysis of improved blood pressure control in hypertensive patients with type 2 diabetes: UKPDS 40. BMJ. 1998;317(7160):720–6.View ArticlePubMed CentralGoogle Scholar
- CDC Diabetes Cost-Effectiveness Group. Cost-effectiveness of intensive glycemic control, intensified hypertension control, and serum cholesterol level reduction for type 2 diabetes. JAMA. 2002;287(19):2542–51.View ArticleGoogle Scholar
- Gray A, Raikou M, McGuire A, Fenn P, Stevens R, Cull C, et al. Cost effectiveness of an intensive blood glucose control policy in patients with type 2 diabetes: economic analysis alongside randomised controlled trial (UKPDS 41): United Kingdom Prospective Diabetes Study Group. BMJ. 2000;320(7246):1373–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Manns BJ, Tonelli M, Zhang J, Campbell DJ, Sargious P, Ayyalasomayajula B, et al. Enrolment in primary care networks: impact on outcomes and processes of care for patients with diabetes. CMAJ. 2012;184(2):E144–52.View ArticlePubMedPubMed CentralGoogle Scholar
- McAlister FA, Majumdar SR, Eurich DT, Johnson JA. The effect of specialist care within the first year on subsequent outcomes in 24,232 adults with new-onset diabetes mellitus: population-based cohort study. Qual Saf Health Care. 2007;16(1):6–11.View ArticlePubMedPubMed CentralGoogle Scholar
- Shah BR, Hux JE, Austin PC. Diabetes is not treated as a coronary artery disease risk equivalent. Diabetes Care. 2007;30(2):381–3.View ArticlePubMedGoogle Scholar
- Toth EL, Majumdar SR, Guirguis LM, Lewanczuk RZ, Lee TK, Johnson JA. Compliance with clinical practice guidelines for type 2 diabetes in rural patients: treatment gaps and opportunities for improvement. Pharmacotherapy. 2003;23(5):659–65.View ArticlePubMedGoogle Scholar
- Ferlie EB, Shortell SM. Improving the quality of health care in the United Kingdom and the United States: a framework for change. Milbank Q. 2001;79(2):281–315.View ArticlePubMedPubMed CentralGoogle Scholar
- Freeman HP. The history, principles, and future of patient navigation: commentary. Semin Oncol Nurs. 2013;29(2):72–5.View ArticlePubMedGoogle Scholar
- Walkinshaw E. Patient navigators becoming the norm in Canada. CMAJ. 2011;183(15):E1109–10.View ArticlePubMedPubMed CentralGoogle Scholar
- Parker VA, Lemak CH. Navigating patient navigation: crossing health services research and clinical boundaries. Adv Health Care Manag. 2011;11:149–83.View ArticlePubMedGoogle Scholar
- Pedersen A, Hack TF. Pilots of oncology health care: a concept analysis of the patient navigator role. Oncol Nurs Forum. 2010;37(1):55–60.View ArticlePubMedGoogle Scholar
- Wells KJ, Battaglia TA, Dudley DJ, Garcia R, Greene A, Calhoun E, et al. Patient navigation: state of the art or is it science? Cancer. 2008;113(8):1999–2010.View ArticlePubMedPubMed CentralGoogle Scholar
- Fischer SM, Sauaia A, Kutner JS. Patient navigation: a culturally competent strategy to address disparities in palliative care. J Palliat Med. 2007;10(5):1023–8.View ArticlePubMedGoogle Scholar
- Shlay JC, Barber B, Michiewicz T, Maravi M, Drisko J, Estacio R, et al. Reducing cardiovascular disease risk using patient navigators, Denver, Colorado, 2007–2009. Prev Chronic Dis. 2011;8(6):A143.PubMedPubMed CentralGoogle Scholar
- Goff SL, Pekow PS, White KO, Lagu T, Mazor KM, Lindenauer PK. IDEAS for a healthy baby–reducing disparities in use of publicly reported quality data: study protocol for a randomized controlled trial. Trials. 2013;14:244.View ArticlePubMedPubMed CentralGoogle Scholar
- Scott LB, Gravely S, Sexton TR, Brzostek S, Brown DL. Examining the effect of a patient navigation intervention on outpatient cardiac rehabilitation awareness and enrollment. J Cardiopulm Rehabil Prev. 2013;33(5):281–91.View ArticlePubMedPubMed CentralGoogle Scholar
- Darnell JS. Navigators and assisters: two case management roles for social workers in the Affordable Care Act. Health Soc Work. 2013;38(2):123–6.View ArticlePubMedGoogle Scholar
- Paskett ED, Harrop JP, Wells KJ. Patient navigation: an update on the state of the science. CA Cancer J Clin. 2011;61(4):237–49.View ArticlePubMedPubMed CentralGoogle Scholar
- Sullivan C, Leon JB, Sayre SS, Marbury M, Ivers M, Pencak JA, et al. Impact of navigators on completion of steps in the kidney transplant process: a randomized, controlled trial. Clin J Am Soc Nephrol. 2012;7(10):1639–45.View ArticlePubMedPubMed CentralGoogle Scholar
- Statistics Canada Canadian Community Health Survey 2012. [http://www23.statcan.gc.ca/imdb-bmdi/pub/indexti-eng.htm?MM]. Accessed October, 2013.
- Zwarenstein M, Reeves S, Straus SE, Pinfold P, Goldman J. Case management: effects on professional practice and health care outcomes (Protocol). Cochrane Lib. 2011;10.
- Effective Practice and Organisation of Care (EPOC). [Suggested risk of bias criteria for EPOC reviews]. EPOC Resources for review authors. Oslo: Norwegian Knowledge Centre for the Health Services; 2015. Available at: http://epoc.cochrane.org/epoc-specific-resources-review-authors.
- Rao JN, Scott AJ. A simple method for the analysis of clustered binary data. Biometrics. 1992;48:577–85.View ArticlePubMedGoogle Scholar
- Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions. Version 5.1.0. Oxford: The Cochrane Collaboration; 2011.Google Scholar
- Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev. 2009;3:CD001096.PubMedGoogle Scholar
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