Skip to main content
Top
Published in: BMC Health Services Research 1/2017

Open Access 01-12-2017 | Research article

Cardiovascular care guideline implementation in community health centers in Oregon: a mixed-methods analysis of real-world barriers and challenges

Authors: Rachel Gold, Arwen Bunce, Stuart Cowburn, James V. Davis, Celine Hollombe, Christine A. Nelson, Jon Puro, John Muench, Christian Hill, Victoria Jaworski, MaryBeth Mercer, Colleen Howard, Nancy Perrin, Jennifer DeVoe

Published in: BMC Health Services Research | Issue 1/2017

Login to get access

Abstract

Background

Spreading effective, guideline-based cardioprotective care quality improvement strategies between healthcare settings could yield great benefits, particularly in under-resourced contexts. Understanding the diverse factors facilitating or impeding such guideline implementation could improve cardiovascular care quality and outcomes for vulnerable patients.

Methods

We sought to identify multi-level factors affecting uptake of cardioprotective care guidelines in community health centers (CHCs), within a successful trial of cross-setting implementation of an effective intervention. Quantitative analyses used multivariable logistic regression to examine in-person patient encounters at 10 CHCs from June 2011-May 2014. At these encounters, a point-of-care alert flagged adults with diabetes who were clinically indicated for, but not currently prescribed, cardioprotective medications. The main outcome measure was the rate of relevant prescriptions issued within two days of encounters. Qualitative analyses focused on CHC providers and staff, and, guided by the constant comparative method, were used to enhance understanding of the factors that influenced this prescribing.

Results

Recommended prescribing occurred at 13–16% of encounters with patients who were indicated for such prescribing. The odds of this prescribing were higher when the patient was male, had HbA1c ≥7, was previously prescribed a similar medication, gave diabetes as the chief complaint, saw a mid-level practitioner, or saw their primary care provider. The odds were lower when the patient was insured, had ≥1 clinic visits in the past year, had kidney disease, or was prescribed certain other medications. Additional factors were associated with prescribing of each medication class. Qualitative results both supported and challenged the quantitative findings, illustrating important tensions involved in guideline-based prescribing. Clinic staff stressed the importance of the provider-patient relationship in guiding prescribing decisions in the face of competing priorities and care needs, and the impact of rapidly changing guidelines.

Conclusions

Diverse factors associated with guideline-concordant prescribing illuminate the complexity of delivering evidence-based care in CHCs. We present possible strategies for addressing barriers to guideline-based prescribing.

Clinical trials registration

This trial was registered retrospectively.
Currently Controlled Trials NCT02299791. Retrospectively registered 10 November 2014.
Appendix
Available only for authorised users
Literature
1.
go back to reference Dudl RJ, Wang MC, Wong M, Bellows J. Preventing myocardial infarction and stroke with a simplified bundle of cardioprotective medications. Am J Manag Care. 2009;15(10):e88–94.PubMed Dudl RJ, Wang MC, Wong M, Bellows J. Preventing myocardial infarction and stroke with a simplified bundle of cardioprotective medications. Am J Manag Care. 2009;15(10):e88–94.PubMed
2.
go back to reference Gold R, Nelson C, Cowburn S, Bunce A, Hollombe C, Davis J, Muench J, Hill C, Mital M, Puro J, et al. Feasibility and impact of implementing a private care system's diabetes quality improvement intervention in the safety net: a cluster-randomized trial. Implement Sci. 2015;10(1):83.CrossRefPubMedPubMedCentral Gold R, Nelson C, Cowburn S, Bunce A, Hollombe C, Davis J, Muench J, Hill C, Mital M, Puro J, et al. Feasibility and impact of implementing a private care system's diabetes quality improvement intervention in the safety net: a cluster-randomized trial. Implement Sci. 2015;10(1):83.CrossRefPubMedPubMedCentral
3.
go back to reference Unverzagt S, Oemler M, Braun K, Klement A. Strategies for guideline implementation in primary care focusing on patients with cardiovascular disease: a systematic review. Fam Pract. 2014;31(3):247–66.CrossRefPubMed Unverzagt S, Oemler M, Braun K, Klement A. Strategies for guideline implementation in primary care focusing on patients with cardiovascular disease: a systematic review. Fam Pract. 2014;31(3):247–66.CrossRefPubMed
4.
go back to reference Qato DM, Lindau ST, Conti RM, Schumm LP, Alexander GC. Racial and ethnic disparities in cardiovascular medication use among older adults in the United States. Pharmacoepidemiol Drug Saf. 2010;19(8):834–42.CrossRefPubMedPubMedCentral Qato DM, Lindau ST, Conti RM, Schumm LP, Alexander GC. Racial and ethnic disparities in cardiovascular medication use among older adults in the United States. Pharmacoepidemiol Drug Saf. 2010;19(8):834–42.CrossRefPubMedPubMedCentral
6.
go back to reference Ritchey MD, Wall HK, Gillespie C, George MG, Jamal A. Million hearts: prevalence of leading cardiovascular disease risk factors--United States, 2005-2012. MMWR Morb Mortal Wkly Rep. 2014;63(21):462–7.PubMed Ritchey MD, Wall HK, Gillespie C, George MG, Jamal A. Million hearts: prevalence of leading cardiovascular disease risk factors--United States, 2005-2012. MMWR Morb Mortal Wkly Rep. 2014;63(21):462–7.PubMed
7.
go back to reference Ford ES, Zhao G, Li C, Pearson WS, Mokdad AH. Trends in obesity and abdominal obesity among hypertensive and nonhypertensive adults in the United States. Am J Hypertens. 2008;21(10):1124–8.CrossRefPubMed Ford ES, Zhao G, Li C, Pearson WS, Mokdad AH. Trends in obesity and abdominal obesity among hypertensive and nonhypertensive adults in the United States. Am J Hypertens. 2008;21(10):1124–8.CrossRefPubMed
8.
go back to reference Centers for Disease Control and Prevention (CDC). Vital signs: prevalence, treatment, and control of high levels of low-density lipoprotein cholesterol--United States, 1999-2002 and 2005-2008. MMWR Morb Mortal Wkly Rep. 2011;60(4):109–14. Centers for Disease Control and Prevention (CDC). Vital signs: prevalence, treatment, and control of high levels of low-density lipoprotein cholesterol--United States, 1999-2002 and 2005-2008. MMWR Morb Mortal Wkly Rep. 2011;60(4):109–14.
9.
go back to reference Franks P, Tancredi D, Winters P, Fiscella K. Cholesterol treatment with statins: who is left out and who makes it to goal? BMC Health Serv Res. 2010;10:68.CrossRefPubMedPubMedCentral Franks P, Tancredi D, Winters P, Fiscella K. Cholesterol treatment with statins: who is left out and who makes it to goal? BMC Health Serv Res. 2010;10:68.CrossRefPubMedPubMedCentral
10.
go back to reference Persell SD, Brown T, Lee JY, Shah S, Henley E, Long T, Luther S, Lloyd-Jones DM, Jean-Jacques M, Kandula NR, et al. Individualized risk communication and outreach for primary cardiovascular disease prevention in community health centers: randomized trial. Circ Cardiovasc Qual Outcomes. 2015;8(6):560–6.CrossRefPubMed Persell SD, Brown T, Lee JY, Shah S, Henley E, Long T, Luther S, Lloyd-Jones DM, Jean-Jacques M, Kandula NR, et al. Individualized risk communication and outreach for primary cardiovascular disease prevention in community health centers: randomized trial. Circ Cardiovasc Qual Outcomes. 2015;8(6):560–6.CrossRefPubMed
11.
go back to reference Roumie CL, Elasy TA, Wallston KA, Pratt S, Greevy RA, Liu X, Alvarez V, Dittus RS, Speroff T. Clinical inertia: a common barrier to changing provider prescribing behavior. Jt Comm J Qual Patient Saf. 2007;33(5):277–85.CrossRefPubMed Roumie CL, Elasy TA, Wallston KA, Pratt S, Greevy RA, Liu X, Alvarez V, Dittus RS, Speroff T. Clinical inertia: a common barrier to changing provider prescribing behavior. Jt Comm J Qual Patient Saf. 2007;33(5):277–85.CrossRefPubMed
12.
go back to reference Juul L, Sandbaek A, Foldspang A, Frydenberg M, Borch-Johnsen K, Lauritzen T. Adherence to guidelines in people with screen-detected type 2 diabetes, ADDITION, Denmark. Scand J Prim Health Care. 2009;27(4):223–31.CrossRefPubMedPubMedCentral Juul L, Sandbaek A, Foldspang A, Frydenberg M, Borch-Johnsen K, Lauritzen T. Adherence to guidelines in people with screen-detected type 2 diabetes, ADDITION, Denmark. Scand J Prim Health Care. 2009;27(4):223–31.CrossRefPubMedPubMedCentral
13.
go back to reference Steinman MA, Dimaano L, Peterson CA, Heidenreich PA, Knight SJ, Fung KZ, Kaboli PJ. Reasons for not prescribing guideline-recommended medications to adults with heart failure. Med Care. 2013;51(10):901–7.CrossRefPubMedPubMedCentral Steinman MA, Dimaano L, Peterson CA, Heidenreich PA, Knight SJ, Fung KZ, Kaboli PJ. Reasons for not prescribing guideline-recommended medications to adults with heart failure. Med Care. 2013;51(10):901–7.CrossRefPubMedPubMedCentral
14.
15.
go back to reference Glasgow RE, Vinson C, Chambers D, Khoury MJ, Kaplan RM, Hunter C. National Institutes of Health approaches to dissemination and implementation science: current and future directions. Am J Public Health. 2012;102(7):1274–81.CrossRefPubMedPubMedCentral Glasgow RE, Vinson C, Chambers D, Khoury MJ, Kaplan RM, Hunter C. National Institutes of Health approaches to dissemination and implementation science: current and future directions. Am J Public Health. 2012;102(7):1274–81.CrossRefPubMedPubMedCentral
16.
go back to reference Nieva VF, Swift E, Fair S. AHRQ health care innovations exchange report on scale up and spread activities 2011. AHRQ report, 2011. AHRQ: Rockville, MD; 2011. Nieva VF, Swift E, Fair S. AHRQ health care innovations exchange report on scale up and spread activities 2011. AHRQ report, 2011. AHRQ: Rockville, MD; 2011.
17.
go back to reference DeVoe JE, Sears A. The OCHIN community information network: bringing together community health centers, information technology, and data to support a patient-centered medical village. J Am Board Fam Med. 2013;26(3):271–8.CrossRefPubMed DeVoe JE, Sears A. The OCHIN community information network: bringing together community health centers, information technology, and data to support a patient-centered medical village. J Am Board Fam Med. 2013;26(3):271–8.CrossRefPubMed
18.
go back to reference Gold R, Muench J, Hill C, Turner A, Mital M, Milano C, Shah A, Nelson C, DeVoe JE, Nichols GA. Collaborative development of a randomized study to adapt a diabetes quality improvement initiative for federally qualified health centers. J Health Care Poor Underserved. 2012;23(3 Suppl):236–46.CrossRefPubMedPubMedCentral Gold R, Muench J, Hill C, Turner A, Mital M, Milano C, Shah A, Nelson C, DeVoe JE, Nichols GA. Collaborative development of a randomized study to adapt a diabetes quality improvement initiative for federally qualified health centers. J Health Care Poor Underserved. 2012;23(3 Suppl):236–46.CrossRefPubMedPubMedCentral
20.
go back to reference DeVoe JE, Gold R, Cottrell E, Bauer V, Brickman A, Puro J, Nelson C, Mayer KH, Sears A, Burdick T, et al. The ADVANCE network: accelerating data value across a national community health center network. J Am Med Inform Assoc. 2014;21(4):271–8.CrossRef DeVoe JE, Gold R, Cottrell E, Bauer V, Brickman A, Puro J, Nelson C, Mayer KH, Sears A, Burdick T, et al. The ADVANCE network: accelerating data value across a national community health center network. J Am Med Inform Assoc. 2014;21(4):271–8.CrossRef
21.
go back to reference DeVoe JE, Gold R, Spofford M, Chauvie S, Muench J, Turner A, Likumahuwa S, Nelson C. Developing a network of community health centers with a common electronic health record: description of the safety Net west practice-based research network (SNW-PBRN). J Am Board Fam Med. 2011;24(5):597–604.CrossRefPubMedPubMedCentral DeVoe JE, Gold R, Spofford M, Chauvie S, Muench J, Turner A, Likumahuwa S, Nelson C. Developing a network of community health centers with a common electronic health record: description of the safety Net west practice-based research network (SNW-PBRN). J Am Board Fam Med. 2011;24(5):597–604.CrossRefPubMedPubMedCentral
22.
go back to reference Bunce AE, Gold R, Davis JV, McMullen CK, Jaworski V, Mercer M, Nelson C. Ethnographic process evaluation in primary care: explaining the complexity of implementation. BMC Health Serv Res. 2014;14(1):607.CrossRefPubMedPubMedCentral Bunce AE, Gold R, Davis JV, McMullen CK, Jaworski V, Mercer M, Nelson C. Ethnographic process evaluation in primary care: explaining the complexity of implementation. BMC Health Serv Res. 2014;14(1):607.CrossRefPubMedPubMedCentral
23.
go back to reference Prasad P. Systems of Meaning: Ethnography as a Methodology for the Study of Information Technologies. In: Lee A, Liebenau J, DeGross J, editors. Information systems and qualitative research. US: Springer; 1997. p. 101–18.CrossRef Prasad P. Systems of Meaning: Ethnography as a Methodology for the Study of Information Technologies. In: Lee A, Liebenau J, DeGross J, editors. Information systems and qualitative research. US: Springer; 1997. p. 101–18.CrossRef
24.
go back to reference McCullagh P, Nelder JA. Generalized linear models. London; New York: Chapman and Hall; 1989.CrossRef McCullagh P, Nelder JA. Generalized linear models. London; New York: Chapman and Hall; 1989.CrossRef
25.
go back to reference Boeije H. A purposeful approach to the constant comparative method in the analysis of qualitative interviews. Qual Quant. 2002;36(4):391–409.CrossRef Boeije H. A purposeful approach to the constant comparative method in the analysis of qualitative interviews. Qual Quant. 2002;36(4):391–409.CrossRef
26.
go back to reference Parsons KW. Constant Comparison. In: Encyclopedia of Social Science Research Methods. edn. Edited by Lewis-Beck MSBA, Futing Liao T. Thousand Oaks: SAGE Publications, Inc; 2004: pp. 181–2. Parsons KW. Constant Comparison. In: Encyclopedia of Social Science Research Methods. edn. Edited by Lewis-Beck MSBA, Futing Liao T. Thousand Oaks: SAGE Publications, Inc; 2004: pp. 181–2.
27.
go back to reference Borkan J. Immersion/crystallization. In: Crabtree BF, Miller WL, editors. Doing qualitative research. 2nd ed. Thousand Oaks, CA: Sage Publications, Inc; 1999. p. 179–94. Borkan J. Immersion/crystallization. In: Crabtree BF, Miller WL, editors. Doing qualitative research. 2nd ed. Thousand Oaks, CA: Sage Publications, Inc; 1999. p. 179–94.
28.
go back to reference Lincoln Y, Guba EG. Naturalistic inquiry. Newberry Park, CA: Sage; 1985. Lincoln Y, Guba EG. Naturalistic inquiry. Newberry Park, CA: Sage; 1985.
29.
go back to reference Arditi C, Rege-Walther M, Wyatt JC, Durieux P, Burnand B. Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2012;12:Cd001175.PubMed Arditi C, Rege-Walther M, Wyatt JC, Durieux P, Burnand B. Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2012;12:Cd001175.PubMed
30.
go back to reference Persell SD, Kaiser D, Dolan NC, Andrews B, Levi S, Khandekar J, Gavagan T, Thompson JA, Friesema EM, Baker DW. Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system. Med Care. 2011;49(2):117–25.CrossRefPubMed Persell SD, Kaiser D, Dolan NC, Andrews B, Levi S, Khandekar J, Gavagan T, Thompson JA, Friesema EM, Baker DW. Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system. Med Care. 2011;49(2):117–25.CrossRefPubMed
31.
go back to reference Schedlbauer A, Prasad V, Mulvaney C, Phansalkar S, Stanton W, Bates DW, Avery AJ. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior? J Am Med Inform Assoc. 2009;16(4):531–8.CrossRefPubMedPubMedCentral Schedlbauer A, Prasad V, Mulvaney C, Phansalkar S, Stanton W, Bates DW, Avery AJ. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior? J Am Med Inform Assoc. 2009;16(4):531–8.CrossRefPubMedPubMedCentral
32.
go back to reference 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. 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.
33.
go back to reference Lu CY, Ross-Degnan D, Soumerai SB, Pearson SA. Interventions designed to improve the quality and efficiency of medication use in managed care: a critical review of the literature - 2001-2007. BMC Health Serv Res. 2008;8:75.CrossRefPubMedPubMedCentral Lu CY, Ross-Degnan D, Soumerai SB, Pearson SA. Interventions designed to improve the quality and efficiency of medication use in managed care: a critical review of the literature - 2001-2007. BMC Health Serv Res. 2008;8:75.CrossRefPubMedPubMedCentral
34.
go back to reference Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM, Nieuwlaat R, Souza NM, Beyene J, Van Spall HG, et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013;346:f657.CrossRefPubMed Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM, Nieuwlaat R, Souza NM, Beyene J, Van Spall HG, et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013;346:f657.CrossRefPubMed
35.
go back to reference Nanji KC, Slight SP, Seger DL, Cho I, Fiskio JM, Redden LM, Volk LA, Bates DW. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21(3):487–91.CrossRefPubMed Nanji KC, Slight SP, Seger DL, Cho I, Fiskio JM, Redden LM, Volk LA, Bates DW. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21(3):487–91.CrossRefPubMed
36.
go back to reference Kesselheim AS, Cresswell K, Phansalkar S, Bates DW, Sheikh A. Clinical decision support systems could be modified to reduce ‘alert fatigue’ while still minimizing the risk of litigation. Health Aff (Millwood). 2011;30(12):2310–7.CrossRef Kesselheim AS, Cresswell K, Phansalkar S, Bates DW, Sheikh A. Clinical decision support systems could be modified to reduce ‘alert fatigue’ while still minimizing the risk of litigation. Health Aff (Millwood). 2011;30(12):2310–7.CrossRef
37.
go back to reference Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB, Phillips RS. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med. 2003;163(21):2625–31.CrossRefPubMed Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB, Phillips RS. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med. 2003;163(21):2625–31.CrossRefPubMed
38.
go back to reference Isaac T, Weissman JS, Davis RB, Massagli M, Cyrulik A, Sands DZ, Weingart SN. Overrides of medication alerts in ambulatory care. Arch Intern Med. 2009;169(3):305–11.CrossRefPubMed Isaac T, Weissman JS, Davis RB, Massagli M, Cyrulik A, Sands DZ, Weingart SN. Overrides of medication alerts in ambulatory care. Arch Intern Med. 2009;169(3):305–11.CrossRefPubMed
39.
go back to reference Baysari MT, Westbrook JI, Richardson KL, Day RO. The influence of computerized decision support on prescribing during ward-rounds: are the decision-makers targeted? J Am Med Inform Assoc. 2011;18(6):754–9.CrossRefPubMedPubMedCentral Baysari MT, Westbrook JI, Richardson KL, Day RO. The influence of computerized decision support on prescribing during ward-rounds: are the decision-makers targeted? J Am Med Inform Assoc. 2011;18(6):754–9.CrossRefPubMedPubMedCentral
41.
go back to reference Perria C, Mandolini D, Guerrera C, Jefferson T, Billi P, Calzini V, Fiorillo A, Grasso G, Leotta S, Marrocco W, et al. Implementing a guideline for the treatment of type 2 diabetics: results of a cluster-randomized controlled trial (C-RCT). BMC Health Serv Res. 2007;7:79.CrossRefPubMedPubMedCentral Perria C, Mandolini D, Guerrera C, Jefferson T, Billi P, Calzini V, Fiorillo A, Grasso G, Leotta S, Marrocco W, et al. Implementing a guideline for the treatment of type 2 diabetics: results of a cluster-randomized controlled trial (C-RCT). BMC Health Serv Res. 2007;7:79.CrossRefPubMedPubMedCentral
42.
go back to reference Peters-Klimm F, Muller-Tasch T, Remppis A, Szecsenyi J, Schellberg D. Improved guideline adherence to pharmacotherapy of chronic systolic heart failure in general practice--results from a cluster-randomized controlled trial of implementation of a clinical practice guideline. J Eval Clin Pract. 2008;14(5):823–9.CrossRefPubMed Peters-Klimm F, Muller-Tasch T, Remppis A, Szecsenyi J, Schellberg D. Improved guideline adherence to pharmacotherapy of chronic systolic heart failure in general practice--results from a cluster-randomized controlled trial of implementation of a clinical practice guideline. J Eval Clin Pract. 2008;14(5):823–9.CrossRefPubMed
43.
go back to reference Sanders KM, Satyvavolu A. Improving blood pressure control in diabetes: limitations of a clinical reminder in influencing physician behavior. J Contin Educ Health Prof. 2002;22(1):23–32.CrossRefPubMed Sanders KM, Satyvavolu A. Improving blood pressure control in diabetes: limitations of a clinical reminder in influencing physician behavior. J Contin Educ Health Prof. 2002;22(1):23–32.CrossRefPubMed
44.
go back to reference Lugtenberg M, Burgers JS, Han D, Westert GP. General practitioners’ preferences for interventions to improve guideline adherence. J Eval Clin Pract. 2014;20(6):820–6.CrossRefPubMed Lugtenberg M, Burgers JS, Han D, Westert GP. General practitioners’ preferences for interventions to improve guideline adherence. J Eval Clin Pract. 2014;20(6):820–6.CrossRefPubMed
45.
go back to reference Barbui C, Girlanda F, Ay E, Cipriani A, Becker T, Koesters M: Implementation of treatment guidelines for specialist mental health care. Cochrane Database Syst Rev. 2014;(1):Cd009780. Barbui C, Girlanda F, Ay E, Cipriani A, Becker T, Koesters M: Implementation of treatment guidelines for specialist mental health care. Cochrane Database Syst Rev. 2014;(1):Cd009780.
46.
go back to reference Fiander M, McGowan J, Grad R, Pluye P, Hannes K, Labrecque M, Roberts NW, Salzwedel DM, Welch V, Tugwell P: Interventions to increase the use of electronic health information by healthcare practitioners to improve clinical practice and patient outcomes. Cochrane Database Syst Rev. 2015;(3):Cd004749. Fiander M, McGowan J, Grad R, Pluye P, Hannes K, Labrecque M, Roberts NW, Salzwedel DM, Welch V, Tugwell P: Interventions to increase the use of electronic health information by healthcare practitioners to improve clinical practice and patient outcomes. Cochrane Database Syst Rev. 2015;(3):Cd004749.
Metadata
Title
Cardiovascular care guideline implementation in community health centers in Oregon: a mixed-methods analysis of real-world barriers and challenges
Authors
Rachel Gold
Arwen Bunce
Stuart Cowburn
James V. Davis
Celine Hollombe
Christine A. Nelson
Jon Puro
John Muench
Christian Hill
Victoria Jaworski
MaryBeth Mercer
Colleen Howard
Nancy Perrin
Jennifer DeVoe
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2017
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-017-2194-3

Other articles of this Issue 1/2017

BMC Health Services Research 1/2017 Go to the issue