Finding a BETTER way: A qualitative study exploring the prevention practitioner intervention to improve chronic disease prevention and screening in family practice
- Donna Patricia Manca†1, 2Email author,
- Michelle Greiver†3, 4, 5,
- June C Carroll†3, 6,
- Ginetta Salvalaggio†1,
- Andrew Cave†1,
- Jess Rogers†8,
- James Pencharz†3, 7,
- Carolina Aguilar†1,
- Rebekah Barrett†9,
- Shelley Bible†2 and
- Eva Grunfeld†3, 10
© Manca et al.; licensee BioMed Central Ltd. 2014
Received: 24 November 2013
Accepted: 7 April 2014
Published: 11 April 2014
Our randomized controlled trial (The BETTER Trial) found that training a clinician to become a Prevention Practitioner (PP) in family practices improved chronic disease prevention and screening (CDPS). PPs were trained on CDPS and provided prevention prescriptions tailored to participating patients. For this embedded qualitative study, we explored perceptions of this new role to understand the PP intervention.
We used grounded theory methodology and purposefully sampled participants involved in any capacity with the BETTER Trial. Two physicians and one coordinator in each of two cities (Toronto, Ontario and Edmonton, Alberta) conducted eight individual semi-structured interviews and seven focus groups. We used an interview guide and documented research activities through an audit trail, journals, field notes and memos. We analyzed the data using the constant comparative method throughout open coding followed by theoretical coding.
A framework and process involving external and internal practice facilitation using the new role of PP was thought to impact CDPS. The PP facilitated CDPS through on-going relationships with patients and practice team members. Key components included: 1) approaching CDPS in a comprehensive manner, 2) an individualized and personalized approach at multiple levels, 3) integrated continuity that included linking the patients and practices to CPDS resources, and 4) adaptability to different practices and settings.
The BETTER framework and key components are described as impacting CDPS through a process that involved a new role, the PP. The introduction of a novel role of a clinician within the primary care practice with skills in CDPS could appropriately address gaps in prevention and screening.
KeywordsChronic disease Prevention Screening Facilitation Patient navigator
Chronic conditions affect at least one third of Canadians with their prevalence increasing steadily [1, 2]. They have a substantial impact on the use of healthcare services . Family practice is an ideal setting for most chronic disease prevention and screening (CDPS) actions and there are several evidence-based tools and strategies available to improve CDPS, but they are inconsistently applied [3–17]. Examples include the use of electronic medical records (EMR), reminder systems , evidence-based guidelines and tools for CDPS actions, patient targeted interventions such as self-management tools [8–10, 12, 13], and practice-based quality improvement strategies such as practice facilitators [4, 6, 7, 14–16, 18].
The Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Family Practice (BETTER) Trial is one example of a successful approach for CDPS that built on existing evidence and applied it in clinical practice . The purpose of the BETTER Trial was to determine whether CDPS for diabetes, cancer (colon, cervical and breast), heart disease and their associated lifestyle risk factors could be improved in the family practice setting using: 1) a practice-level intervention, and/or 2) a Prevention Practitioner (PP) intervention through a prevention visit with a specially trained existing member of the family practice team, the Prevention Practitioner (PP) . The primary outcomes included patient screening activity and health behavior change as measured by the Summary Quality Index (SQUID), a composite index of CDPS , and adherence at follow-up (~7 months) after the prevention visit. Full details of the BETTER Trial are published elsewhere . We report here the qualitative strand conducted to understand the contextual factors associated with the positive effect of the PP role within the Better Trial.
The PPs were interdisciplinary health care providers within the family practices and included: registered nurses, a licensed practical nurse, nurse practitioners, and a registered dietitian. Patients aged 40–65 years were invited to participate in the structured PP intervention by completing a health survey and then attending a visit with the PP. Through a rigorous evidence-review process, evidence based clinical guidelines were identified for inclusion in the BETTER CDPS tool kit . The PP was trained in CDPS including: appropriate prevention and screening actions, practice and patient resources to be used during patient encounters, additional CDPS patient resources within and outside the practice, motivational interviewing and shared decision making.
The PP reviewed the patients’ health surveys and medical records to identify preventive actions that patients were eligible to receive. At the time of the visit, through a process of shared decision making and motivational interviewing, a written personalized prescription with prevention and screening goals was tailored to the patient. A significant improvement in the SQUID outcome was observed 7 months later in the PP intervention group , demonstrating the effectiveness of this approach.
This qualitative study was conducted with the objective of better understanding the PP intervention in the BETTER Trial described above, including the development of the PP role, perceived barriers, facilitators, benefits and disadvantages, and of exploring the feasibility and sustainability of this approach for CDPS.
The BETTER Trial involved four family practice settings in Edmonton, Alberta and four in Toronto, Ontario. It was a mixed methods project that included a pragmatic cluster randomized controlled trial  with a qualitative strand. Since our aim for the qualitative strand was to develop an understanding of the PP intervention, this type of question was best suited to a grounded theory (sociology) approach [22–24]. Therefore, an embedded mixed-methods design  was used to understand the PP intervention and to inform the future dissemination and implementation of the approach used in the BETTER Trial.
To minimize biasing participants, interviews were conducted before the dissemination of the positive results to the participants. For the qualitative strand, we sought perceptions from the PP’s, participating clinicians and administrators. Individuals were eligible to participate from all of the BETTER sites or if they were involved in the BETTER Trial in any capacity. Purposeful sampling was used to recruit participants including PPs, study personnel, clinic support personnel, organizational administrators, intervention and control physicians, other clinic physicians not involved in the project, and clinicians who worked in the clinic. Physicians were selected based on the following characteristics: gender, years in practice, community or academic setting, type of EMR used, physicians with and without patients participating in the BETTER Trial. Potential participants received a detailed letter of information describing the project and inviting them to participate. Both the interviews and focus groups were conducted in person at which time we obtained written informed consent.
The qualitative study, including the recruitment and consent process, received ethics approval from the University of Alberta (Health Research Ethics Board Pro00026547) and the University of Toronto (Health Science Research Ethics Board # 27125) in December 2011. The Trial registration number of the original BETTER RCT was ISRCTN07170460.
Data collection involved individual semi-structured interviews and focus groups (FG) conducted by two BETTER Trial physician investigators and one research coordinator in each city (Edmonton and Toronto). Semi-structured interviews were offered to key informants, physicians or policy personnel when a more candid response was sought. The family physician researchers had expertise in qualitative research (DM, AC, MG, JC) and the research coordinators were non-clinicians (CA, LP). A physician attended each interview since physician participants may be more candid in their response when an interviewer is a fellow physician . A minimum of one physician and one coordinator attended each interview to provide a clinical and a non-clinical perspective. With minimum of two researchers attending the interviews, one was able to focus on leading and maintaining the discussion, while the other focused on recording notes and observations. An audit trail was kept for the entire study and consisted of a step-by-step chronological accounting of the project activities including interviews, discussions and decisions.
Field notes taken immediately after each interview/FG described general observations such as how people were positioned and non-verbal communication, ideas on possible linkages, potential biases, areas requiring further exploration, reflections on the interview guide, thoughts on sampling and who to approach for further clarification of information.
Journals documented a personal audit trail that included evolving perceptions, understandings, potential biases and contrary information that needed further exploration.
An interview guide was tested on non-study participants to ensure all areas were captured. The interviews were audio recorded and transcribed. The interviews explored the BETTER PP intervention including perceptions on feasibility and sustainability of the model for CDPS. Two main guiding questions elicited the participants’ stories followed by open ended questions and focused prompts when needed (Additional file 1: Interview guide):
The analysis was conducted using techniques informed by grounded theory methods including the constant comparison method, [22, 27, 28] which also involved seeking outliers and alternative explanations. The interviews were transcribed verbatim and initially read through and audio-reviewed. Transcripts were then coded line by line with each idea given a name or phrase summarizing the main concept by each investigator independently. The investigators involved in the analysis and coding included six family physicians (DM, AC, GS, MG, JC, JP) and two non-clinicians (CA, LP) (four in Alberta and four in Ontario). This initial coding was reviewed at a face-to-face team meeting to develop some consensus on the codes. The codes were then grouped according to their properties and types into categories and overarching themes. Relationships between different ideas began to emerge and were written as memos. Initially the memos were brief descriptions and early conceptualizations. Through the sorting and resorting of the memos into different groupings and constantly comparing how each memo was related to another  the researchers developed a better understanding of the relationships between different concepts and categories, giving the categories dimension and position within the evolving understanding of the situation . Through this evolving understanding the memos become more extensive as they integrated the ideas from earlier memos generating higher-level memos that moved from a descriptive to a conceptual understanding of the evolving framework [22, 27].
Each investigator independently drafted journals, and memos of their understandings and themes. These were posted on a secure website and shared with the team. The lead investigator (DM) collected and sorted the information and then posted the collated ideas, themes and categories on the website for review and comments from the team. As the researchers became immersed in coding, a better understanding was developed and this was reflected in higher-level memos [22, 27]. At this point a teleconference was held with the research team to develop consensus on evolving themes and hypotheses and future directions to take when re-reviewing the transcripts to capture higher-level memos and conduct selective coding.
The codes were managed manually during the initial open coding and thematic development phase. With a rough understanding of concepts and themes N-Vivo 10 software was then used by DM to further review and capture the evolving understanding and selective coding. The second round of memos were collected and sorted and a framework was developed. A second teleconference was held with the research team to review and refine the evolving framework. The analysis and interpretation was further refined and validated through triangulation with two key informants (PPs).
Rigor of study methods
Several methods were used to ensure the credibility and consistency or transferability of our findings [23, 29–32]. Primarily, grounded theory is best suited to address our objective of developing an understanding of a process [22–24, 31]. Researcher reflexivity is also an important component [29, 30] and to reduce bias, clinicians and non-clinicians were involved in the interviews and in the analysis. The research team met and questioned each other’s findings and preconceptions and looked to the data for further explanations.
We sought a diverse sample to identify and describe common patterns that transcend a focused sample, providing themes that were common to all [31, 33]. Theoretical sampling was used to identify participants from the potential informants since a constant comparative method was used to guide future interviews, that is, we sought data that would challenge and support our evolving understanding, seeking exceptions and looking for variation [27, 33].
The research team communicated through face-to-face meetings, emails and through documents posted on a secure website. The use of an interview guide ensured completeness, reduced systematic variance, and assisted with the ability to compare results using the constant comparative method . The interviewers’ field notes collected observations not captured in audio recordings, ensuring comprehensiveness as a form of triangulation, whereby data is gathered from more than one source [24, 29, 30]. Triangulation was also achieved through theoretical sampling whereby differing perspectives were sought [27, 30]. Coding the interviews independently and then meeting regularly to review and compare themes and concepts generated improved rigor and credibility. An audit trail was created throughout the data collection and analysis stages to help with the constant comparison of the data. The information generated met Glaser’s four criteria for judging grounded theory, including fit, relevance, workability and modifiability . Furthermore, respondent validation, or “member checking”, helped to ensure that the interpretations were accurate [24, 29, 30].
Interviews were conducted until saturation was achieved to ensure that the data categories were dense and the relationship between categories were well established and validated and that no new or relevant data was being obtained; and that all our avenues and leads had been followed and the description was complete .
Selected characteristics of study participants (N = 45)
Primary care physician
Type of clinic
Main focus of role in project
Participants highlighted that CDPS is not seen as a priority, nor is it integrated or remunerated in the present health care system. The BETTER Trial introduced a CDPS intervention into the practices (see Figure 1). The BETTER Trial was viewed as providing a framework for CDPS in a primary care system that often focuses on acute and chronic disease management rather than prevention. The results in this paper will focus on the theoretical framework that emerged as a possible solution to addressing CDPS in primary care.
The BETTER framework
A newly developed role of PP with expertise in CDPS.
A unique combination of external and internal practice facilitation.
Key components, described below, that contribute to the success of CDPS (refer to Figure 3).
A novel role – the prevention practitioner (PP)
Participants viewed prevention and screening as an activity shared by many health care providers in the primary care setting. However it may not be well coordinated and no one has a comprehensive skill set in this area. Family physicians do not have time to address this in their day-to-day practice.
“I guess the interesting thing is like to call yourself a primary Prevention Practitioner it’s not a protected term under like the regulated health professional block right and so it’s a, and like primary prevention falls within the scope of multiple professionals”. (Pharmacist)
The PP was specifically trained to fulfill this new role and introduce the defined BETTER CDPS intervention into the practices (see Figure 1). Participants viewed this added skill set positively.
“… the BETTER project because it you know had the educational component, and it had a lot of, it really helped us define your role, and a lot of you know what you do in a patient encounter, and what you do even when I’ve identified oh this patient has hyperlipidemia, can you please see them to have the discussion, you kind of inadvertently have this nice framework”. (Physician)
External and internal practice facilitation
Practice facilitation has been described as a supportive service provided to primary care practices by a trained individual or team of individuals  and practice facilitators are specially trained individuals who work with primary care practices to make meaningful changes to improve patients’ outcomes . A facilitator can be internal or external to a practice . The BETTER Trial increased CDPS in the practice and the patients through a combination of external and internal practice facilitation.
Originally we conceptualized the PP intervention of the BETTER Trial as only an internal practice facilitation intervention. However, it became apparent during the interviews and focus groups that the BETTER research trial itself provided external facilitation support to the intervention. The external facilitation included facilitating the introduction of the intervention at the sites and the training and supporting of the PP role.
Physician leads were identified at each site to facilitate the introduction of the PP to that site.
“Dr. ____ is on our board and talked about the project with great enthusiasm and asked if we would support it …” (Administrator)
Training and ongoing project support helped the PPs define and expand their new roles within the practice, and to develop the required skills to fulfill their new role. Regular teleconferences provided opportunities to share ideas and support one another in managing specific clinical situations.
“a big part of the training was we did a lot of teleconference calls amongst the BETTER project team and all of the PPs so as we were starting into the project, as questions came up, it gave us all a chance to discuss how we were treating certain situations and you know exactly, the steps we were supposed to take so, that certainly evolved as we went along too”. (PP)
External facilitation was more important at the beginning of the intervention to help develop the skills for PPs to fulfill their new role, and to assist the practices in adapting to the new PP role. Modifications were made as needed to ensure a good fit within each practice.
The PP facilitated change within the practice through the introduction of skills, tools and resources for CDPS.
“So it enhanced what we were doing. I mean helped even some of the guidelines she came up with, it was part of her tool kit”. (Physician)
The PP transformed the practice to incorporate CDPS into daily practice activities. This enabled the practice to better support the patient in their individual CDPS goals. Change was accomplished through the PPs’ unique positions in the practices and their ability to develop relationships with the patients, the clinical teams and the physicians. The PPs developed relationships with patients that were distinct and unique from the doctor-patient relationship and, in some cases, patients disclosed information to the PP that they would not disclose in a group setting or even to their own physician.
“The only thing with the group things though is people may not share their own personal blocks like reasons they are not doing it in a group the same way they would share things with the PP one on one and sometimes the PP might be listening to things that the patients are uncomfortable telling us about”. (Physician)
“The PP uncovered a lot more alcohol use”. (Physician)
The PPs developed relationships with other members of their primary care teams that engaged the practice in CDPS at both a practice and a patient-level.
“And so that enhanced ongoing care and, and the patients related to her as part of the team and then she was able to do the follow-ups and she could key me in on which patients had been through BETTER or she’d leave a note on the EMR to say you know this is some of things to discuss at the next appointment so that prompted me to address certain things that maybe the patient was already aware of and enhance that uptake for the patient”. (Physician)
The PPs generated internal facilitation through the relationships with their team. This was crucial to sustaining the intervention and, once established, the PP role continued to incorporate CDPS in some of the practices, in some form, even after the BETTER Trial was completed.
“But even so it, we saw them in the office after the BETTER Project and there’s that relationship built there and they do, we do, I do still bring it up if I recognize them from the BETTER Project I do pull up those goals that are scanned into their chart, we still do go over it because it’s just an ongoing support for them right”. (PP)
The role of the PP combined with external and internal practice facilitation provided a framework for CPDS that transformed the practice through the use of relationships with someone internal to the practice as illustrated in Figure 2.
A comprehensive, pro-active, and holistic approach to CDPS that broadened the PP’s scope of practice.
“I think as holistic front end screen is really important. I think it’s also a real big way to support inter-professional team practice because you can, you have the opportunity to look holistically at a patient in terms of what their needs might be and in terms of the kinds of services that you might offer”. (Organization manager)
An individualized and personalized approach at multiple levels tailored to the practice and the patient. The study fostered important relationships between the PP, patient, and practice as a whole, including physicians and other team members. For example, personal invitations sent to the patient from their physician helped to start a dialogue about CDPS and the support they could receive from their primary care team.
“I mean we all had the protocol, we all had, you know the policies we had to do, but everybody did it their own way”. (PP)
Integrated continuity involved as a process of longitudinal continuity of information and personal relationships that integrated CDPS into the practice. The PP identified CDPS resources (e.g. dieticians for dietary advice), and when necessary, referred patients to resources within and outside the practice setting and where necessary referred patients to those resources. Other clinicians in the practice became better acquainted with those resources and began integrating them into their clinical activities. This improved utilization of internal and external CDPS resources. The PP followed-up with the patients’ goals and communicated plans with the entire team. When the patient saw other clinicians in the practice those clinicians were also aware of the patients’ CDPS goals and could provide further support to them to achieve their goals.
Adaptable through a collaborative approach at the PP, practice, and patient-level.
“I think it creates a stronger collaboration, it, it’s a better team connection in that the role becomes well defined, and very important. I suppose one that can be customized to different practices, people work in different ways and she’s, happens to be very flexible so, yeah it led to some strong collaboration that way”. (Physician)
It has been estimated that it would take an additional 7.4 hours a day for a physician to address the US preventive services task force recommendations . Our qualitative analysis also highlights a perceived lack of health care system support for CDPS in the family practice setting. It is clear that we need to approach CDPS in a different way. The BETTER Trial addressed this CDPS gap through a novel approach, building capacity in an existing member of the primary care team to have a new role as Prevention Practitioner with expertise in CDPS.
The BETTER Trial, informed by Ontario’s chronic disease framework , developed an integrated approach to CDPS that aimed to address different facets of the framework including health care organizations, practice teams and individuals and families. A clinical working group selected and harmonized the high-quality recommendations for the chronic conditions in the BETTER Trial . The BETTER pragmatic cluster randomized controlled trial demonstrated that a unique intervention through a PP could improve the implementation of clinically important CDPS in a cost-effective manner . This effective intervention directly focused on the patient through the use of a PP who met with the patient and through a process of shared decision making and motivational interviewing developed a prescription tailored to the patient.
Primary care requires expertise and roles that are different from the traditional biomedical model. For example, new roles such as patient navigators [37–39] have been developed to address gaps in chronic disease management. These new roles may have an impact on outcomes and effectiveness [39–41], and could reduce health disparities [41–44]. It is important to address CDPS in socially disadvantaged populations since the prevalence of chronic disease is higher than the general population [2, 45]. The PP role may be able to address the CDPS gap through reduction of risk factors, and through a proactive approach, target the needs of vulnerable populations. There is evidence that modest changes in risk factor levels can bring about large improvements in health and thus reduce this burden of care .
The PP intervention had several key components. One was comprehensiveness, that is, the focus was on evidence based CDPS actions in patients 40–65 years of age, and not on a specific disease or condition. Focusing on the common modifiable risk factors of multiple chronic conditions is clearly more cost effective and comprehensiveness is important in enhancing equity in health . Dr. Starfield’s work also demonstrates that health equity can be improved through person-focused prevention and improved coordination . Both of these were key components of the BETTER Trial. We describe a new approach to integrated continuity that resulted in improved integration of CDPS into the practice. This was made possible through the continuity of the PP’s relationships with the patient, the physician and other members of the practice, and making links between internal and external CPDS resources and activities. This was how coordination was improved and how other clinicians in the practice became engaged in facilitating patients’ CDPS goals.
Further work is needed to determine if the BETTER approach can be adapted to other settings and should include patient perspectives. The main limitation of this project was that the practices involved in the project were located in urban centers and used EMRs. They could be seen as early adopters compared to those not using an EMR, and may tend to serve patients with a higher socioeconomic status as compared to practices in other locations such as inner city or rural. Hence the findings may not be transferable to those settings.
The BETTER Trial Prevention Practitioner (PP) intervention impacts CDPS through a framework that involves external and internal practice facilitation using a novel role, the PP. The key components include: 1) approaching CDPS in a comprehensive and proactive manner, 2) an individualized and personalized approach at multiple levels, 3) integrated continuity of CPDS for the patient and within the practice, and 4) adaptability. The introduction of a novel role within the primary care practice with skills and expertise in CDPS may address gaps in prevention and screening.
DPM, MG, JC, AC, EG are active family physicians and researchers with expertise in qualitative and quantitative methodologies. CA was a research coordinator in the BETTER Trial. JR has extensive experience with the evaluation and implementation of clinical practice guidelines. GS & JP are academic family physicians. RB & SB were Prevention Practitioners in the BETTER Trial.
Chronic disease prevention and screening
Electronic medical record.
This research was made possible through a financial contribution from the Canadian Partnership Against Cancer and Health Canada and supported by the Heart and Stroke Foundation of Ontario Grant No. PG 10–0479. Dr. Grunfeld is supported by a clinician scientist award from the Ontario Institute for Cancer Research (OICR) with funds from the Ontario Ministry of Research and Innovation (MRI). The opinions, results, and conclusions reported are those of the authors and are independent from the funding sources and no endorsement by OICR or MRI is intended or should be inferred.
We would also like to acknowledge the significant contribution from Lisa Patterson who was the BETTER study coordinator in Toronto and who contributed to the conception, design and data collection.
- 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): 70-76. 10.12927/hcq.2008.19859.View ArticlePubMedGoogle Scholar
- Geneau R, Stuckler D, Stachenko S, McKee M, Ebrahim S, Basu S, Chockalingham A, Mwatsama M, Jamal R, Alwan A, Beaglehole R: Raising the priority of preventing chronic diseases: a political process. Lancet. 2010, 376 (9753): 1689-1698. 10.1016/S0140-6736(10)61414-6.View ArticlePubMedGoogle Scholar
- Bodenheimer T, Wagner EH, Grumbach K: Improving primary care for patients with chronic illness: the chronic care model, Part 2. JAMA. 2002, 288 (15): 1909-1914. 10.1001/jama.288.15.1909.View ArticlePubMedGoogle Scholar
- Lemelin J, Hogg W, Baskerville N: Evidence to action: a tailored multifaceted approach to changing family physician practice patterns and improving preventive care. CMAJ. 2001, 164 (6): 757-763.PubMedPubMed CentralGoogle Scholar
- Hogg W, Lemelin J, Moroz I, Soto E, Russell G: Improving prevention in primary care: Evaluating the sustainability of outreach facilitation. Can Fam Physician. 2008, 54 (5): 712-720.PubMedPubMed CentralGoogle Scholar
- Laferriere D, Liddy C, Nash K, Hogg W: Navigating change: how outreach facilitators can help clinicians improve patient outcomes. J Am Board Fam Med. 2012, 25 (2): 232-237. 10.3122/jabfm.2012.02.110192.View ArticlePubMedGoogle Scholar
- Baskerville NB, Liddy C, Hogg W: Systematic review and meta-analysis of practice facilitation within primary care settings. Ann Fam Med. 2012, 10 (1): 63-74. 10.1370/afm.1312.View ArticlePubMedPubMed CentralGoogle Scholar
- Chodosh J, Morton SC, Mojica W, Maglione M, Suttorp MJ, Hilton L, Rhodes S, Shekelle P: Meta-analysis: chronic disease self-management programs for older adults. Ann Intern Med. 2005, 143 (6): 427-438. 10.7326/0003-4819-143-6-200509200-00007.View ArticlePubMedGoogle Scholar
- Warsi A, Wang PS, LaValley MP, Avorn J, Solomon DH: Self-management education programs in chronic disease: a systematic review and methodological critique of the literature. Arch Intern Med. 2004, 164 (15): 1641-1649. 10.1001/archinte.164.15.1641.View ArticlePubMedGoogle Scholar
- Walsh JM, McDonald KM, Shojania KG, Sundaram V, Nayak S, Lewis R, Owens DK, Goldstein MK: Quality improvement strategies for hypertension management: A systematic review. Med Care. 2006, 44 (7): 646-657. 10.1097/01.mlr.0000220260.30768.32.View ArticlePubMedGoogle Scholar
- Holbrook A, Thabane L, Keshavjee K, Dolovich L, Bernstein B, Chan D, Troyan S, Foster G, Gerstein H, Investigators CI: Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial. CMAJ. 2009, 181 (1–2): 37-44.View ArticlePubMedPubMed CentralGoogle Scholar
- Barrett MJ, California HealthCare Foundation: Patient Self-Management Tools: An Overview. 2005, Oakland, California: California HealthCare FoundationGoogle Scholar
- Norris SL, Nichols PJ, Caspersen CJ, Glasgow RE, Engelgau MM, Jack L, Snyder SR, Carande-Kulis VG, Isham G, Garfield S, Briss P, McCulloch D: Increasing diabetes self-management education in community settings. A systematic review. Am J Prev Med. 2002, 22 (4 Suppl): 39-66.View ArticlePubMedGoogle Scholar
- Feifer C, Ornstein SM: Strategies for increasing adherence to clinical guidelines and improving patient outcomes in small primary care practices. Jt Comm J Qual Saf. 2004, 30 (8): 432-441.PubMedGoogle Scholar
- Hogg W, Baskerville N, Nykiforuk C, Mallen D: Improved preventive care in family practices with outreach facilitation: Understanding success and failure. J Health Serv Res Policy. 2002, 7 (4): 195-201. 10.1258/135581902320432714.View ArticlePubMedGoogle Scholar
- Feifer C, Ornstein SM, Jenkins RG, Wessell A, Corley ST, Nemeth LS, Roylance L, Nietert PJ, Liszka H: The logic behind a multimethod intervention to improve adherence to clinical practice guidelines in a nationwide network of primary care practices. Eval Health Prof. 2006, 29 (1): 65-88. 10.1177/0163278705284443.View ArticlePubMedGoogle Scholar
- Ontario: Preventing and managing chronic disease Ontario’s framework. [S.l.]: Ministry of Health and Long-Term Care. 2007Google Scholar
- Hogg W, Lemelin J, Graham ID, Grimshaw J, Martin C, Moore L, Soto E, O'Rourke K: Improving prevention in primary care: Evaluating the effectiveness of outreach facilitation. Fam Pract. 2008, 25 (1): 40-48.View ArticlePubMedGoogle Scholar
- Grunfeld E, Manca D, Moineddin R, Thorpe KE, Hoch JS, Campbell-Scherer D, Meaney C, Rogers J, Beca J, Krueger P, Mamdani M, BETTER Trial Investigators: Improving chronic disease prevention and screening in primary care: Results of the BETTER pragmatic cluster randomized controlled trial. BMC Fam Pract. 2013, 14 (1): 175-10.1186/1471-2296-14-175.View ArticlePubMedPubMed CentralGoogle Scholar
- Nietert PJ, Wessell AM, Jenkins RG, Feifer C, Nemeth LS, Ornstein SM: Using a summary measure for multiple quality indicators in primary care: the Summary QUality InDex (SQUID). Implement Sci. 2007, 2: 11-10.1186/1748-5908-2-11.View ArticlePubMedPubMed CentralGoogle Scholar
- Campbell-Scherer D, Rogers J, Manca D, Lang-Robertson K, Bell S, Salvalaggio G, Greiver M, Korownyk C, Klein D, Carroll JC, Kahan M, Meuser J, Buchman S, Barrett R, Grunfeld E: Guideline harmonization and implementation plan for the BETTER trial: building on existing tools to improve chronic disease prevention and screening in family practice. CMAJ Open. 2014, 2 (1): E1-E10. 10.9778/cmajo.20130040.View ArticlePubMedPubMed CentralGoogle Scholar
- Glaser BG: Basics of grounded theory analysis : Emergence vs. forcing. 1992, Mill Valley, CA: Sociology PressGoogle Scholar
- Mayan MJ, International Institute for Qualitative M: An introduction to qualitative methods: A training module for students and professionals. 2001, Edmonton: International Institute for Qualitative Methodology, University of AlbertaGoogle Scholar
- Rowan M, Huston P: Qualitative research articles: information for authors and peer reviewers. CMAJ. 1997, 157 (10): 1442-1446.PubMedPubMed CentralGoogle Scholar
- Creswell JW, Plano Clark VL: Designing and conducting mixed methods research. 2011, Los Angeles: SAGE Publications, 2Google Scholar
- Borgiel AE, Dunn EV, Lamont CT, MacDonald PJ, Evensen MK, Bass MJ, Spasoff RA, Williams JI: Recruiting family physicians as participants in research. Fam Pract. 1989, 6 (3): 168-172. 10.1093/fampra/6.3.168.View ArticlePubMedGoogle Scholar
- Glaser BG: Doing grounded theory: issues and discussions. 1998, Mill Valley (CA): Sociology PressGoogle Scholar
- Charmaz K: Constructing grounded theory. 2006, London ; Thousand Oaks: Sage PublicationsGoogle Scholar
- Mays N, Pope C: Qualitative research in health care. Assessing quality in qualitative research. BMJ. 2000, 320 (7226): 50-52. 10.1136/bmj.320.7226.50.View ArticlePubMedPubMed CentralGoogle Scholar
- Cohen DJ, Crabtree BF: Evaluative criteria for qualitative research in health care: controversies and recommendations. Ann Fam Med. 2008, 6 (4): 331-339. 10.1370/afm.818.View ArticlePubMedPubMed CentralGoogle Scholar
- Creswell JW: Qualitative inquiry & research design: choosing among five approaches. 2007, Thousand Oaks, Calif: Sage Publications, 2:Google Scholar
- Crabtree BF, Miller WL: Doing Qualitative Research. 1999, Thousand Oaks, Calif: Sage Publications, 2:Google Scholar
- Crabtree BMW, Kuzel: Sampling in Qualitative Inquiry. Doing Qualitative Research. 1999, Thousand Oaks, California: Sage, 2: 33-45.Google Scholar
- Patton MQ: Qualitative evaluation and research methods. 1990, Newbury Park, Calif: Sage Publications, 2:Google Scholar
- Knox L, Taylor EF, Geonnotti K, Machta R, Kim J, Nysenbaum J, Parchman M: Developing and Running a Primary Care Practice Facilitation Program: A How-to Guide (Prepared by Mathematica Policy Research under Contract No. HHSA290200900019I TO 5.). Agency for Healthcare Research and Quality. 2011, Rockville, MD: AHRQ Publication No 12–0011Google Scholar
- Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL: Primary care: is there enough time for prevention?. Am J Public Health. 2003, 93 (4): 635-641. 10.2105/AJPH.93.4.635.View ArticlePubMedPubMed CentralGoogle Scholar
- Fiscella K, Whitley E, Hendren S, Raich P, Humiston S, Winters P, Jean-Pierre P, Valverde P, Thorland W, Epstein R: Patient navigation for breast and colorectal cancer treatment: a randomized trial. Cancer Epidemiol Biomarkers Prev. 2012, 21 (10): 1673-1681. 10.1158/1055-9965.EPI-12-0506.View ArticlePubMedPubMed CentralGoogle Scholar
- Bryant DC, Williamson D, Cartmell K, Jefferson M: A lay patient navigation training curriculum targeting disparities in cancer clinical trials. J Natl Black Nurses Assoc. 2011, 22 (2): 68-75.PubMedGoogle Scholar
- Fillion L, Cook S, Veillette AM, Aubin M, de Serres M, Rainville F, Fitch M, Doll R: Professional navigation framework: elaboration and validation in a Canadian context. Oncol Nurs Forum. 2012, 39 (1): E58-E69. 10.1188/12.ONF.E58-E69.View ArticlePubMedGoogle Scholar
- Raich PC, Whitley EM, Thorland W, Valverde P, Fairclough D: For the Denver patient navigation research P: patient navigation improves cancer diagnostic resolution: an individually randomized clinical trial in an underserved population. Cancer Epidemiol Biomarkers Prev. 2012, 21 (10): 1629-1638. 10.1158/1055-9965.EPI-12-0513.View ArticlePubMedPubMed CentralGoogle Scholar
- Griswold KS, Homish GG, Pastore PA, Leonard KE: A randomized trial: are care navigators effective in connecting patients to primary care after psychiatric crisis?. Community Ment Health J. 2010, 46 (4): 398-402. 10.1007/s10597-010-9300-x.View ArticlePubMedGoogle Scholar
- Natale-Pereira A, Enard KR, Nevarez L, Jones LA: The role of patient navigators in eliminating health disparities. Cancer. 2011, 117 (15 Suppl): 3543-3552.PubMedPubMed CentralGoogle Scholar
- Hendren S, Griggs JJ, Epstein RM, Humiston S, Rousseau S, Jean-Pierre P, Carroll J, Yosha AM, Loader S, Fiscella K: Study protocol: a randomized controlled trial of patient navigation-activation to reduce cancer health disparities. BMC Cancer. 2010, 10: 551-View ArticlePubMedPubMed CentralGoogle Scholar
- Steinberg ML, Fremont A, Khan DC, Huang D, Knapp H, Karaman D, Forge N, Andre K, Chaiken LM, Streeter OE: Lay patient navigator program implementation for equal access to cancer care and clinical trials: essential steps and initial challenges. Cancer. 2006, 107 (11): 2669-2677. 10.1002/cncr.22319.View ArticlePubMedGoogle Scholar
- Deering KN, Lix LM, Bruce S, Young TK: Chronic diseases and risk factors in Canada's northern populations: longitudinal and geographic comparisons. Can J Public Health. 2009, 100 (1): 14-17.PubMedGoogle Scholar
- Starfield B, Shi L, Macinko J: Contribution of primary care to health systems and health. Milbank Q. 2005, 83 (3): 457-502. 10.1111/j.1468-0009.2005.00409.x.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2296/15/66/prepub
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