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  • Open Access
  • Open Peer Review

The effectiveness of patient-centred medical home model versus standard primary care in chronic disease management: protocol for a systematic review and meta-analysis of randomised and non-randomised controlled trials

  • 1, 2Email author,
  • 3,
  • 2, 4 and
  • 1, 5
Systematic Reviews20187:215

https://doi.org/10.1186/s13643-018-0887-2

  • Received: 21 February 2018
  • Accepted: 16 November 2018
  • Published:
Open Peer Review reports

Abstract

Background

Studies suggest that the Patient-Centred Medical Home (PCMH) model of primary care is more effective than standard care for improving clinical outcomes in patients with chronic diseases (non-communicable diseases), but the strength of the evidence base is unclear. The aim of the proposed systematic review is to generate a current synthesis of relevant studies on the effectiveness of PCMH model of primary care versus standard care in chronic disease management.

Methods

Electronic databases such as MEDLINE, CINAHL, Embase, Cochrane Library, and Scopus will be searched using predefined search terms for PCMH, primary care, and chronic diseases for articles published up to November 2018. Reference lists of included articles and relevant reviews will also be hand searched. This review will consider eligible randomised controlled trials and controlled trials against predetermined criteria including two or more principles of PCMH model endorsed by Australian Medical Association. Data extraction will be performed independently by two reviewers, and retrieved papers will be assessed for quality using JBI Critical Appraisal Tools. Where possible, quantitative data will be pooled in statistical meta-analysis using the R packages ‘Meta’ and ‘metafor’. Effect sizes will be expressed as odds ratio (for categorical data) and weighted mean differences (for continuous data) and their 95% confidence intervals will be calculated for meta-analysis; robustness will be explored using sensitivity analysis. Heterogeneity will be assessed narratively and statistically using the Q statistics and visualised using Baujat plots including subgroup or sensitivity analyses techniques where possible. Where statistical pooling is not possible, the findings will be presented narratively.

Discussion

The findings of the proposed systematic review will provide the highest level of evidence to date on the effectiveness of the PCMH model versus standard primary care in chronic disease management. We believe that our findings will inform patients, primary care providers, and public health administrators and policy-makers on the benefits and risks of PCMH model of care.

Systematic review registration

PROSPERO CRD42018085378

Keywords

  • Patient-Centred Medical Home
  • Patient-focused care
  • Chronic disease management
  • Care coordination
  • Integrated primary care
  • Systematic review

Background

The health burden from non-communicable diseases including major depressive disorder, diabetes, stroke, ischaemic heart disease, chronic obstructive pulmonary disease (COPD), lung cancer, and musculoskeletal disorders has risen in recent decades [1]. Consequently, the growing burden of multiple chronic medical conditions (multimorbidity) presents significant challenges on health systems worldwide and emphasises the need to explore better strategies towards chronic disease management [2, 3]. Patients with multimorbidity have complex health care needs that are challenging to manage in primary care for a range of reasons [4, 5]. These patients often experience poor health-rated quality of life, physical, and mental health, as well as increased risk of mortality [6, 7]. Furthermore, multimorbidity is associated with an increased risk of hospitalisations and inappropriate polypharmacy [8, 9]. Interventions and strategies that improve the quality and performance of general practice could lead to better patient outcomes and yield significant reductions in avoidable health care utilisation and overall health care costs [4].

Health care systems in high-income countries typically focus on the ‘single-disease framework’, where the delivery of primary care for the management of multimorbidity is often fragmented, lacking integration, and continuity of care [10]. Paradoxically, primary care is ideally placed to facilitate coordinated and continuous care in the management and possibly prevention of chronic diseases [11]. Strategies for effective management and prevention of multimorbidity should include integrated, multidisciplinary team (MDT), and long-term chronic disease approaches to adequately address the complex care needs of these patients [12].

The patient-centred medical home (PCMH) care model, initially introduced as “medical home” by the American Academy of Paediatrics in 1967, has been considered to conceptually provide highest quality of primary care for patients with multimorbidity [13]. Although definitions vary and there have been calls for changes [14, 15], the PCMH model typically includes a general practitioner (GP) and MDT working together to provide coordinated and patient-centred care that promotes long-term patient engagement using a long-term chronic disease approach [15, 16]. There is a small but growing body of evidence including a systematic review published in 2013 [13] suggesting that the PCMH primary care model is more effective than standard care for improving clinical outcomes in patients [17, 18], quality of care [19, 20], and reducing hospital admissions [21, 22]. Although the previous review [13] provided a comprehensive synthesis of relevant studies on the effectiveness of PCMH model of care at the time, the authors included studies in patients with multimorbidity only, thereby studies in patients with single chronic disease were excluded and studies in non-primary care settings (tertiary care services) reporting results favouring the effectiveness of the PCMH [23, 24] which may have partially biased their overall positive results and conclusions. Further, additional studies evaluating the effectiveness of the PCMH care model have been published since [2527].

Guidelines released by the Royal Australian College of General Practitioners (RACGP) include a vision of equitable access to high-quality health care based on the PCMH [16]. Similarly, the Australian Medical Association (AMA) recognises the potential of the PCMH model of care to enable an integrated MDT approach for the management of multimorbidity [15]. Since the advocacy and implementation of the PCMH model of primary care are rapidly growing in Australia and worldwide [12, 13, 28], a current review is timely and warranted. Our searching of electronic databases and registries (PROSPERO, CDSR, JBI database for systematic reviews, and DARE) in December 2017 confirmed the absence of any newly completed or ongoing relevant systematic reviews. Therefore, the proposed systematic review described in this study protocol will aim to summarise the best available evidence on the effectiveness of PCMH models of primary care compared to standard care in chronic disease management.

Methods

Research design and methodology

This protocol was developed with guidance from the Centre for Reviews and Dissemination’s (CRD) Guidance for undertaking reviews in health care and Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) statement [29, 30] (Additional file 1). This systematic review protocol has been registered with PROSPERO, the International Prospective Register of Systematic Reviews hosted by the Centre for Reviews and Dissemination (registration #CRD42018085378).

Eligibility criteria

We selected specific inclusion and exclusion criteria using the Population, Interventions, Comparators, Outcomes, and Study designs (PICOS) framework (summarised in Table 1) [31].
Table 1

Summary of PICOS components

 ➢ Participants—primary care patients aged at least 18 years with one or more chronic disease

 ➢ Intervention—AMA-recognised PCMH principles (must meet 1 and 2 criteria)

 1) Integrated or MDT care AND

 2) One or more of the following principles:

 i. Coordination of care

 ii. Data driven quality of care

 iii. Long-term patient-provider relationship

 iv. Patient empowerment and patient engagement

 ➢ Comparison—standard primary care

 ➢ Outcomes

 i. Patient outcomes

 ii. Hospital outcomes

 iii. Economic outcomes

 ➢ Study design—randomised controlled trials

Types of participants

This review will consider adult populations (over 18 years of age) treated for one or more chronic disease in a primary care setting. We will use the Australian Institute of Health and Welfare (AIHW) definition of chronic diseases as a wide group of conditions, illnesses, and diseases that are characterised by long-lasting and persistent effects leading to potentially intense and severe health ramifications [32]. Although chronic diseases comprise a diverse group of physical conditions, the commonly reported conditions including arthritis, asthma, back pain, cancer, cardiovascular diseases (CVD), COPD, diabetes, kidney diseases, and mental disorders.

Types of interventions

This review will include studies which satisfy the following criteria based on the principles of PCMH recommended by the AMA [15, 33]:
  1. 1)

    Integrated primary health care or MDT approaches

     
GP led integrated care or MDT approaches consisting of at least one other health care professional (i.e. specialists, practice nurses, and other allied health care professionals), AND
  1. 2)

    Any one or more other following principles of PCMH

     
  1. i.

    Coordination of care

    Coordination of services within levels of the health care system (e.g. secondary/tertiary, allied health, and community services) using efficient referral pathways between sites of care.

     
  2. ii.

    Data driven quality of care

    Use of technology in the development and implementation of care plans, shared decision-making, and for quality improvement auditing.

     
  3. iii.

    Long-term patient-provider relationship

    Promotion of continuity of care through an ongoing partnership between patient, GP, and the MDT health care professionals towards the shared goal of providing high-quality patient-centred care.

     
  4. iv.

    Patient empowerment and patient engagement

    Education to empower patients to actively participate in the development and self-management of their chronic disease. Patient values, preferences, and autonomy should always be considered in these.

     

Types of comparisons or control groups

Eligible studies must include a standard care comparison group by any definition.

Types of outcomes

This review will consider studies that report clinically relevant outcomes which include, but are not limited to hospital outcomes (e.g. service use, admissions, and emergency department visits), patient clinical outcomes (e.g. medical, psychological, and physical/functional), and economic outcomes (e.g. health care costs, cost-effectiveness, and cost-benefit analyses).

Types of studies

This review will consider RCTs and controlled trials using any alternate method of treatment group allocation. If adequate information from controlled trials is not available, cohort studies with a control group will be considered for inclusion.

Exclusion criteria

We will exclude studies where there is genuine uncertainty regarding meeting any of the eligibility criteria (e.g. the PCMH model), duplicate publications, and papers published in any language other than English. Reasons for exclusion of studies will be reported as supplementary information.

Search strategy

A comprehensive literature search will be performed to identify published articles up to November 2018 through searching of electronic databases such as MEDLINE, CINAHL, Embase, Cochrane Library, and Scopus. A three-step search strategy will be undertaken in this review. Records retrieved from the electronic databases will be downloaded to Endnote X8 reference manager and screened independently by two researchers. Full text copies of potentially relevant articles will be reviewed against the eligibility criteria for inclusion. A flowchart of the selection process will be produced following the PRISMA guidelines [29]. An initial pilot search of MEDLINE will be used to identify text words and phrases in the title and abstract used to index relevant articles. A sample search strategy of MEDLINE is presented in Additional file 2. A second search will be undertaken subsequently using identified index terms and keywords across all included databases by two reviewers independently. Finally, bibliographies of included studies and key review articles will be hand searched to identify any relevant studies that were missed.

Data extraction

Data extraction will be performed independently by two reviewers using Excel spreadsheet software (Microsoft Excel, Microsoft Corporation) [34]. Extracted data will include important characteristics of the studies included for review (Additional file 3). At least two attempts will be made to contact authors for missing information or data queries. Discrepancies will be resolved through discussion to achieve consensus with a third author.

Quality assessment

The methodological validity of the articles included for the review will be appraised independently by two reviewers using JBI Critical Appraisal Tools [35]. Discrepancies or disagreements at any stage (i.e. search strategy, data extraction, and quality assessment) will be resolved through discussion with a third author to achieve consensus.

Strategy for data synthesis

A quantitative synthesis, where possible, is planned to pool data from included studies. Results will be subjected to double data entry to ensure data quality and reduce the possibility of error. The results will be pooled using a random-effects meta-analysis with standardised mean differences for continuous data and odds ratios for binary data and their 95% confidence intervals will be calculated. Heterogeneity will be assessed narratively and statistically using the Q statistics and visualised using Baujat plots, including subgroup or sensitivity analyses techniques where possible. We will also explore subgroup analyses based on the different study designs or characteristics included in this review where possible. Where statistical pooling is not possible, the findings will be presented narratively. We will grade the body of evidence for recommendations following the approach proposed by the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) Working Group [36].

Discussion

The systematic review outlined in this protocol paper aims to identify, assess, and synthesise the best available evidence on the effectiveness of the PCMH model of primary care for chronic diseases management. We anticipate that the proposed systematic review will be the most comprehensive evidence summary to date and believe that the findings of our systematic review will provide the most conclusive evidence (high quality) [36] on the effectiveness of PCMH care model in chronic disease management. We expect that our findings will inform patients, primary care providers, and public health administrators and policy-makers on the benefits and risks of the PCMH model in chronic disease management in primary care.

The proposed review will provide reliable information on the benefits of the PCMH model such as improving quality of care, clinical outcomes, and reducing hospital and ED admissions [17, 19, 21]. This knowledge could potentially empower patients to take proactive action and work with their GP to better self-manage their chronic conditions [37]. Empowered patients are more likely to seek better quality of care from their GPs or shop for GPs providing PCMH care, where they can be partners and not just bystanders in making decisions about their health care management [38].

We anticipate that our findings will be useful to GPs and primary care providers also, which may lead to transformational organisational changes in their structures and practices. This may encourage primary care services to be efficient in better targeting of health services according to the needs of the local community [39]. Providers will also be informed about current practices that have adopted the core PCMH principles in providing coordinated care through MDT approaches which have resulted in improved job satisfaction, burnout rates, and patient-provider relationship [40, 41].

Finally, the proposed systematic review findings might help policy-makers and health ministries in understanding health and economic benefits associated with the PCMH model of care [42, 43]. This will help direct scarce health care resources towards improvements in general practice service delivery. In addition, we also believe that the findings of this review will impact current practice, policy, and implementation guidelines [28, 44], which might result in efficiency gains in health systems in Australia and possibly other similar countries.

In summary, the proposed systematic review aims to address existing knowledge gaps by providing the highest level of evidence on the effectiveness of PCMH in chronic disease management. We expect that our findings will better inform patients, primary care providers, and policy makers on the benefits and risks associated with the PCMH model of care. In addition, the proposed systematic review may provide perspectives in achieving efficiency gains in health systems and future research opportunities.

Abbreviations

AIHW: 

Australian Institute of Health and Welfare

AMA: 

Australian Medical Association

CDSR: 

Cochrane Database of Systematic Review

CI: 

Confidence intervals

CINAHL: 

Cumulative Index to Nursing and Allied Health Literature

COPD: 

Chronic obstructive pulmonary disease

CRD: 

Centre for Reviews and Dissemination

CVD: 

Cardiovascular disease

DARE: 

Database of Abstract of Reviews of Effects

ED: 

Emergency department

GP: 

General practitioner

GRADE: 

Grading of Recommendations, Assessment, Development and Evaluation

JBI: 

Joanna Briggs Institute

MDT: 

Multidisciplinary team

PCMH: 

Patient-Centred Medical Home

PICOS: 

Population, Interventions, Comparators, Outcomes, and Study designs

PRISMA: 

Preferred Reporting Items for Systematic review and Meta-Analysis

PRISMA-P: 

Preferred Reporting Items for Systematic review and Meta-Analysis Protocols

RCT: 

Randomised controlled trials

RR: 

Risk ratio

Declarations

Acknowledgements

The authors would like to express their gratitude to Ms. Katrina Chaudhary (Librarian, School of Science and Health, Western Sydney University) and Ms. Lily Collison (Librarian, School of Medicine, Western Sydney University) for their help in developing search terms and guidance during the initial search process.

Funding

JRJ receives stipend support for his PhD research on the PCMH model of care from Capital Markets Cooperative Research Centre (Sydney) as part of Western Sydney University Postgraduate Research Award Scholarship.

Availability of data and materials

Not applicable.

Authors’ contributions

JRJ, EA, SG, and FG were involved in the conception, design, writing, and editing of the study protocol. The final protocol was approved by JRJ, EA, SG, and FG. All authors read and approved the final manuscript. JRJ is the guarantor of the review.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
School of Nursing and Midwifery, University of Western Sydney, Sydney, New South Wales, Australia
(2)
Capital Markets Cooperative Research Centre, Level 3, CMCRC, 2/55 Harrington St, Sydney, New South Wales, 2000, Australia
(3)
Research Implementation Science and eHealth Group, Faculty of Health Science, University of Sydney, Sydney, New South Wales, Australia
(4)
Translational Health Research Institute, School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
(5)
School of Medicine, University of Adelaide, Adelaide, South Australia, Australia

References

  1. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2197–223.View ArticleGoogle Scholar
  2. Garin N, Koyanagi A, Chatterji S, Tyrovolas S, Olaya B, Leonardi M, et al. Global multimorbidity patterns: a cross-sectional, population-based, multi-country study. J Gerontol A Biol Sci Med Sci. 2015;71(2):205–14.View ArticleGoogle Scholar
  3. van Oostrom SH, Gijsen R, Stirbu I, Korevaar JC, Schellevis FG, Picavet HSJ, et al. Time trends in prevalence of chronic diseases and multimorbidity not only due to aging: data from general practices and health surveys. PLoS One. 2016;11(8):e0160264.View ArticleGoogle Scholar
  4. McPhail SM. Multimorbidity in chronic disease: impact on health care resources and costs. Risk Manag Healthc Policy. 2016;9:143.View ArticleGoogle Scholar
  5. Smith SM, Soubhi H, Fortin M, Hudon C, O’Dowd T. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. BMJ. 2012;345:e5205.View ArticleGoogle Scholar
  6. Sambamoorthi U, Tan X, Deb A. Multiple chronic conditions and healthcare costs among adults. Expert Rev Pharmacoeconomics Outcomes Res. 2015;15(5):823–32.View ArticleGoogle Scholar
  7. Taylor AW, Price K, Gill TK, Adams R, Pilkington R, Carrangis N, et al. Multimorbidity - not just an older person's issue. Results from an Australian biomedical study. BMC Public Health. 2010;10(1):718.View ArticleGoogle Scholar
  8. Harrison C, Britt H, Miller G, Henderson J. Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice. BMJ Open. 2014;4(7).View ArticleGoogle Scholar
  9. Violan C, Foguet-Boreu Q, Flores-Mateo G, Salisbury C, Blom J, Freitag M, et al. Prevalence, determinants and patterns of multimorbidity in primary care: a systematic review of observational studies. PLoS One. 2014;9(7):e102149.View ArticleGoogle Scholar
  10. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43.View ArticleGoogle Scholar
  11. Brett T, Arnold-Reed DE, Popescu A, Soliman B, Bulsara MK, Fine H, et al. Multimorbidity in patients attending 2 Australian primary care practices. Ann Fam Med. 2013;11(6):535–42.View ArticleGoogle Scholar
  12. O’Loughlin M, Mills J, McDermott R, Harriss L. Review of patient-reported experience within patient-centered medical homes: insights for Australian health care homes. Aust J Prim Health. 2017;23(5):429–39.View ArticleGoogle Scholar
  13. Jackson GL, Powers BJ, Chatterjee R, Bettger JP, Kemper AR, Hasselblad V, et al. The patient-centered medical home: a systematic review. Ann Intern Med. 2013;158(3):169–78.View ArticleGoogle Scholar
  14. Bodenheimer T, Ghorob A, Willard-Grace R, Grumbach K. The 10 building blocks of high-performing primary care. Ann Fam Med. 2014;12(2):166–71.View ArticleGoogle Scholar
  15. Australian Medical Association. AMA Position Statement on the Medical Home - 2015. 2015. https://ama.com.au/position-statement/ama-position-statement-medical-home. Accessed 18 Jan 2018.
  16. The Royal Australian College of General Practitioners. Standards for Patient-Centred Medical Homes: Patient-centred, comprehensive, coordinated, accessible and quality care. 2016. https://www.racgp.org.au/FSDEDEV/media/documents/Running%20a%20practice/Practice%20standards/Patient-centered-medical-homes.pdf. Accessed 11 Jan 2018.
  17. Berk-Clark C, Doucette E, Rottnek F, Manard W, Prada MA, Hughes R, et al. Do patient-centered medical homes improve health behaviors, outcomes, and experiences of low-income patients? A systematic review and Meta-analysis. Health Serv Res. 2018;53(3):1777–98.Google Scholar
  18. Maeng DD, Graf TR, Davis DE, Tomcavage J, Bloom FJ Jr. Can a patient-centered medical home lead to better patient outcomes? The quality implications of Geisinger’s ProvenHealth Navigator. Am J Med Qual. 2012;27(3):210–6.View ArticleGoogle Scholar
  19. Bitton A, Martin C, Landon BE. A Nationwide survey of patient centered medical home demonstration projects. J Gen Intern Med. 2010;25(6):584–92.View ArticleGoogle Scholar
  20. DeVries A, Li C-HW, Sridhar G, Hummel JR, Breidbart S, Barron JJ. Impact of medical homes on quality, healthcare utilization, and costs. Am J Manag Care. 2012;18(9):534–44.PubMedGoogle Scholar
  21. Peikes D, Chen A, Schore J, Brown R. Effects of care coordination on hospitalization, quality of care, and health care expenditures among medicare beneficiaries: 15 randomized trials. JAMA. 2009;301(6):603–18.View ArticleGoogle Scholar
  22. Reid RJ, Fishman PA, Yu O, Ross TR, Tufano JT, Soman MP, et al. Patient-centered medical home demonstration: a prospective, quasi-experimental, before and after evaluation. Am J Manag Care. 2009;15(9):e71–87.PubMedGoogle Scholar
  23. Rubin CD, Sizemore MT, Loftis PA, Adams-Huet B, Anderson RJ. The effect of geriatric evaluation and management on Medicare reimbursement in a large public hospital: a randomized clinical trial. J Am Geriatr Soc. 1992;40(10):989–95.View ArticleGoogle Scholar
  24. Toseland RW, O'Donnell JC, Engelhardt JB, Hendler SA, Richie JT, Jue D. Outpatient geriatric evaluation and management: results of a randomized trial. Med Care. 1996;34(6):624–40.View ArticleGoogle Scholar
  25. Ramli AS, Selvarajah S, Daud MH, Haniff J, Abdul-Razak S, Tg-Abu-Bakar TMI, et al. Effectiveness of the EMPOWER-PAR intervention in improving clinical outcomes of type 2 diabetes mellitus in primary care: a pragmatic cluster randomised controlled trial. BMC Family Pract. 2016;17(1):157.View ArticleGoogle Scholar
  26. Zhang Y, Tang W, Zhang Y, Liu L, Zhang L. Effects of integrated chronic care models on hypertension outcomes and spending: a multi-town clustered randomized trial in China. BMC Public Health. 2017;17(1):244.View ArticleGoogle Scholar
  27. Uittenbroek RJ, Kremer HP, Spoorenberg SL, Reijneveld SA, Wynia K. Integrated care for older adults improves perceived quality of care: results of a randomized controlled trial of embrace. J Gen Intern Med. 2017;32(5):516–23.View ArticleGoogle Scholar
  28. Western Australia Primary Health Alliance. Health Care Home - A model for primary health care. 2016. https://www.wapha.org.au/wp-content/uploads/2016/01/WAPHA-Health-Care-Home.pdf. Accessed 21 Jan 2018.
  29. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Reviews. 2015;4(1):1.View ArticleGoogle Scholar
  30. Centre for Reviews and Dissemination. Systematic reviews: CRDs guidance for undertaking reviews in health care. 3rd ed. York: CRD, University of York; 2009.Google Scholar
  31. Schardt C, Adams MB, Owens T, Keitz S, Fontelo P. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak. 2007;7(1):16.View ArticleGoogle Scholar
  32. Australian Institute of Health and Welfare. Australia’s health 2016. Canberra: AIHW.2016. https://www.aihw.gov.au/getmedia/9844cefb-7745-4dd8-9ee2-f4d1c3d6a727/19787-AH16.pdf.aspx. Accessed 5 Jan 2018.
  33. Agency for Healthcare Research and Quality. Patient Centered Medical Home Resource Center. https://pcmh.ahrq.gov/page/defining-pcmh. Accessed 9 Jan 2018.
  34. Elamin MB, Flynn DN, Bassler D, Briel M, Alonso-Coello P, Karanicolas PJ, et al. Choice of data extraction tools for systematic reviews depends on resources and review complexity. J Clin Epidemiol. 2009;62(5):506–10.View ArticleGoogle Scholar
  35. The Joanna Briggs Institute. Joanna Briggs Institute Reviewers’ Manual: 2014 edition. Adelaide: The Joanna Briggs Institute; 2014.Google Scholar
  36. Schünemann H, Brożek J, Guyatt G, Oxman A. GRADE Handbook: handbook for grading the quality of evidence and the strength of recommendations using the GRADE approach; 2013.Google Scholar
  37. Barker I, Steventon A, Williamson R, Deeny SR. Self-management capability in patients with long-term conditions is associated with reduced healthcare utilisation across a whole health economy: cross-sectional analysis of electronic health records. BMJ Qual Saf. 2018:bmjqs-2017-007635.Google Scholar
  38. Loh A, Simon D, Wills CE, Kriston L, Niebling W, Härter M. The effects of a shared decision-making intervention in primary care of depression: a cluster-randomized controlled trial. Patient Educ Couns. 2007;67(3):324–32.View ArticleGoogle Scholar
  39. Primary Health Care Advisory Group Report. Better outcomes for people with chronic and complex health conditions. 2015. https://www.health.gov.au/internet/main/publishing.nsf/Content/76B2BDC12AE54540CA257F72001102B9/$File/Primary-Health-Care-Advisory-Group_Final-Report.pdf. Accessed 11 Jan 2018.
  40. Reid RJ, Coleman K, Johnson EA, Fishman PA, Hsu C, Soman MP, et al. The group health medical home at year two: cost savings, higher patient satisfaction, and less burnout for providers. Health Aff. 2010;29(5):835–43.View ArticleGoogle Scholar
  41. Boult C, Reider L, Frey K, Leff B, Boyd CM, Wolff JL, et al. Early effects of “guided care” on the quality of health care for multimorbid older persons: a cluster-randomized controlled trial. J Gerontol A Biol Sci Med Sci. 2008;63(3):321–7.View ArticleGoogle Scholar
  42. Maeng DD, Graham J, Graf TR, Liberman JN, Dermes NB, Tomcavage J, et al. Reducing long-term cost by transforming primary care: evidence from Geisinger's medical home model. Am J Manag Care. 2012;18(3):149–55.PubMedGoogle Scholar
  43. Sahlen K-G, Boman K, Brännström M. A cost-effectiveness study of person-centered integrated heart failure and palliative home care: based on a randomized controlled trial. Palliat Med. 2016;30(3):296–302.View ArticleGoogle Scholar
  44. Department of Health. Health Care Homes—Health professionals. http://www.health.gov.au/internet/main/publishing.nsf/Content/health-care-homes. Accessed 19 Jan 2018.

Copyright

© The Author(s). 2018

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