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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Prioritising models of healthcare service delivery for a more sustainable health system: a Delphi study of Australian health policy, clinical practice and management, academic and consumer stakeholders

Polina Putrik A B E , Rebecca Jessup A B , Rachelle Buchbinder A B , Paul Glasziou C , Jonathan Karnon D and Denise A. O’Connor A B
+ Author Affiliations
- Author Affiliations

A Monash Department of Clinical Epidemiology, Cabrini Institute, 4 Drysdale Street, Malvern, Vic. 3144, Australia. Email: rebecca.jessup@nh.org.au, rachelle.buchbinder@monash.edu, Denise.OConnor@monash.edu

B Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne Vic. 3004, Australia.

C Bond University, 14 University Drive, Robina, Qld 4226, Australia. Email: pglaszio@bond.edu.au

D Flinders University, Adelaide, SA 5001, Australia. Email: jonathan.karnon@flinders.edu.au

E Corresponding author. Email: Polina.Putrik@monash.edu

Australian Health Review 45(4) 425-432 https://doi.org/10.1071/AH20160
Submitted: 29 June 2020  Accepted: 9 December 2020   Published: 18 March 2021

Journal Compilation © AHHA 2021 Open Access CC BY-NC-ND

Abstract

Objectives Healthcare expenditure is growing at an unsustainable rate in developed countries. A recent scoping review identified several alternative healthcare delivery models with the potential to improve health system sustainability. Our objective was to obtain input and consensus from an expert Delphi panel about which alternative models they considered most promising for increasing value in healthcare delivery in Australia and to contribute to shaping a research agenda in the field.

Methods The panel first reviewed a list of 84 models obtained through the preceding scoping review and contributed additional ideas in an open round. In a subsequent scoring round, the panel rated the priority of each model in terms of its potential to improve health care sustainability in Australia. Consensus was assumed when ≥50% of the panel rated a model as (very) high priority (consensus on high priority) or as not a priority or low priority (consensus on low priority).

Results Eighty-two of 149 invited participants (55%) representing all Australian states/territories and wide expertise completed round one; 71 completed round two. Consensus on high priority was achieved for 59 alternative models; 14 were rated as (very) high priority by ≥70% of the panel. Top priorities included improving medical service provision in aged care facilities, providing single-point-access multidisciplinary care for people with chronic conditions and providing tailored early discharge and hospital at home instead of in-patient care. No consensus was reached on 47 models, but no model was deemed low priority.

Conclusions Input from an expert stakeholder panel identified healthcare delivery models not previously synthesised in systematic reviews that are a priority to investigate. Strong consensus exists among stakeholders regarding which models require the most urgent attention in terms of (cost-)effectiveness research. These findings contribute to shaping a research agenda on healthcare delivery models and where stakeholder engagement in Australia is likely to be high.

What is known about the topic? Healthcare expenditure is growing at an unsustainable rate in high-income countries worldwide. A recent scoping review of systematic reviews identified a substantial body of evidence about the effects of a wide range of models of healthcare service delivery that can inform health system improvements. Given the large number of systematic reviews available on numerous models of care, a method for gaining consensus on the models of highest priority for implementation (where evidence demonstrates this will lead to beneficial effects and resource savings) or for further research (where evidence about effects is uncertain) in the Australian context is warranted.

What does this paper add? This paper describes a method for reaching consensus on high-priority alternative models of service delivery in Australia. Stakeholders with leadership roles in health policy and government organisations, hospital and primary care networks, academic institutions and consumer advocacy organisations were asked to identify and rate alternative models based on their knowledge of the healthcare system. We reached consensus among ≥70% of stakeholders that improving medical care in residential aged care facilities, providing single-point-access multidisciplinary care for patients with a range of chronic conditions and providing early discharge and hospital at home instead of in-patient stay for people with a range of conditions are of highest priority for further investigation.

What are the implications for practitioners? Decision makers seeking to optimise the efficiency and sustainability of healthcare service delivery in Australia could consider the alternative models rated as high priority by the expert stakeholder panel in this Delphi study. These models reflect the most promising alternatives for increasing value in the delivery of health care in Australia based on stakeholders’ knowledge of the health system. Although they indicate areas where stakeholder engagement is likely to be high, further research is needed to demonstrate the effectiveness and cost-effectiveness of some of these models.

Keywords: models of healthcare service delivery, alternative delivery arrangements, health system sustainability, improving value, reducing waste, Delphi study.

Introduction

Aging populations, a growth in chronic and complex diseases and the emergence of new medical technologies are driving increased healthcare expenditure in high-income countries worldwide.1 This increasing demand requires governments, policy makers, healthcare providers and researchers to combine efforts towards the creation of sustainable healthcare systems. Alternative ways of organising and delivering healthcare services (i.e. alternative healthcare delivery arrangements or models of care), such as care provided in alternative locations, in different formats or by alternative providers, may optimise healthcare system efficiency and sustainability, but only where such models deliver equivalent or better effects at lower costs compared with traditional delivery models.

A recent scoping review2 synthesised the evidence for a wide range of alternative delivery models, including those harnessing information and communication technology (ICT) systems to deliver care (e.g. telehealth or telemonitoring), care coordination models among different providers (e.g. care pathways or multidisciplinary care), changes to who provides care to patients (e.g. substituting medical care for appropriately trained nursing care), changes to where care is provided (e.g. home vs hospital) and changes to how care is delivered (e.g. group vs individual prenatal care). The largest number of reviews focused on ICT (n = 189), with only 47 reviews focusing on changes in how and when care is delivered.

Given the large number of systematic reviews on alternative models of care identified, a method for gaining consensus on the models of highest priority for implementation (where there is evidence that this will lead to equal or better outcomes and resource savings compared with traditional models) or for further research (where evidence about effects is uncertain or there are gaps in available synthesised evidence) in the Australian context is warranted.

The aim of this study was threefold: (1) to present the results of the scoping review to an expert panel of health policy, clinical, academic and consumer stakeholders to determine whether there are additional promising models that are currently being considered or investigated in practice that are not covered in existing reviews; (2) to gain consensus on the models that require most urgent attention in Australia to optimise health system sustainability; and (3) to contribute to shaping a research agenda in the field.


Methods

Design

An online Delphi survey (e-Delphi) was used to facilitate the exchange and refinement of participant views in response to group discussion while preventing individuals from controlling the group process.3,4

Participants and setting

We sought participation from an expert panel of leaders from five stakeholder groups in Australia: (1) federal and state health policy makers; (2) state hospital networks; (3) state primary healthcare networks; (4) federal consumer advocacy organisations; and (5) academic research institutions. The expert panel was identified through a stakeholder analysis.5,6 An initial list of eligible participants was obtained from stakeholders involved in the National Health and Medical Research Council of Australia Partnership Centre for Health System Sustainability,7 and through the research team’s networks. Purposeful sampling of stakeholders with recognised expertise in one of the five areas mentioned above was used with additional snowball sampling. No more than two experts from the same organisation were invited to participate to avoid imbalances in the panel.

The Dillman tailored design method was used for participant recruitment.8 Potential participants first received a personalised email invitation. Up to three email reminders were sent at weekly intervals after the initial invitation, and telephone contact was sought where no response to emails was achieved. We aimed for a participation rate of at least 70% for each round to ensure credibility and validity of the results.3,9

Survey instrument

We conducted two Delphi rounds: one open round followed by one scoring round. The open round comprised two parts (nine pages in total): Part 1 included four questions relating to respondents’ characteristics (organisation type, current role in the organisation, seniority of the position and jurisdiction) and Part 2 presented 84 delivery arrangements identified from Cochrane reviews included in our scoping review.2 Because the scoping review focused on published systematic reviews, we were aware that there may have been additional assessments of alternative delivery arrangements that our scoping review did not capture. Therefore, in this round we asked participants whether they were aware of additional relevant models to consider. Participants were asked to identify up to four additional alternative models, and brief justifications were encouraged.

We used the Cochrane Effective Practice and Organisation of Care (EPOC) taxonomy of health system interventions to organise the delivery arrangements based on their conceptual or practical similarity.10 The taxonomy classifies interventions into five subgroups based on changes to: (1) how and when care is delivered; (2) where care is provided and changes to the healthcare environment; (3) who provides care and how the healthcare workforce is managed; (4) coordination of care and management of care processes; and (5) ICT system. A sixth subgroup was added to categorise interventions that include delivery arrangements from across the above categories to address a specific problem or goal (e.g. interventions for enhancing medication adherence).

Each suggested delivery arrangement was standardised to reflect what the alternative delivery arrangement involved (e.g. rehabilitation at home), the relevant comparator where this was provided (e.g. in-patient hospital rehabilitation) and the target population (e.g. for patients with total hip replacement). The same or similar interventions were combined to ensure the length of the survey remained manageable. For example, ‘home vs in-patient rehabilitation for total hip replacement’ and ‘early discharge hospital-in-home vs in-patient stay for patients with chronic obstructive pulmonary disease’ were combined and listed in Part 2 of the open round survey as ‘early supported discharge and rehabilitation at home vs in-patient stay’, with the relevant populations listed at the end. In total, 84 delivery arrangements from 126 Cochrane reviews were included in part two of the first survey (Supplementary File S1; Table S1).

Interventions within each subgroup were further categorised according to the direction of effects for key outcomes of interest (e.g. patient outcomes, quality of care), the certainty of evidence and the potential for resource savings (Box 1). Conceptually similar models with different effects were not combined.

Box 1.  Categories of interventions based on direction and certainty of evidence
  1. Interventions with beneficial effects on one or more outcomes (moderate- to high-certainty evidence), no harmful effects and evidence of cost savings

  2. Interventions with beneficial effects on one or more outcomes (moderate- to high-certainty evidence), no harmful effects, but with uncertain effects regarding costs

  3. Interventions with beneficial effects on one or more outcomes (moderate- to high-certainty evidence), no harmful effects, but more costly

  4. Interventions with uncertain effects (low- or very low-certainty evidence) on outcomes of interest, including costs

  5. Interventions with harmful or no beneficial effects (moderate- to high-certainty evidence), regardless of costs



The survey used in Round 2 (scoring round) contained an updated list of delivery arrangements (original plus the additional ones proposed by participants in Round 1) and these were organised in EPOC categories using standardised wording (nine pages, 7–12 questions per page). Participants were asked to score the priority of each model in terms of its potential to improve health care sustainability in Australia on a five-point Likert scale (1, not a priority; 5, highest priority) or ‘I don’t know [what priority to assign]’. Participants were invited to provide free text comments supporting their rating (Supplementary File S2; Table S2).

Participants were allowed to skip questions and return to incomplete surveys at a later date or time. The survey instrument was piloted before use among a group of senior staff and researchers at one healthcare organisation.

Procedure

Qualtrics Survey Software was used to administer the survey. The study was conducted between June and November 2018. Ethics approval was obtained from Monash University Human Ethics Committee (Study ID 12598).

We reported our Delphi study according to the Guidance on Conducting and Reporting Delphi Studies (CREDES) recommendations,11 the Good Practice in the Conduct and Reporting of Survey Research12 and the Checklist for Reporting Results of Internet E-Surveys (CHERRIES; Supplementary Table S3).13

Data analysis

Descriptive statistics were used to report respondent demographic characteristics and their rating of delivery arrangements. We considered consensus was achieved when ≥50% of the panel rated a delivery arrangement as high or highest priority (indicating consensus on high priority) or as not a priority or low priority (indicating consensus of low priority). Strong consensus was assumed when ≥70% of the panel voted high or low priority. All other scores were regarded as not having reached consensus. Analyses were conducted separately on each of the 106 delivery arrangements.


Results

Response rate and final Delphi panel

In all, 149 experts were invited to participate. Eighty-two respondents (55%) completed the Round 1 survey (Table 1). Fifty-three (36%) did not respond to our initial invitation or reminders and 14 (9%) withdrew after commencing Round 1 (Fig. 1). Respondents from Round 1 were invited to complete Round 2. An additional 10 experts were recommended for the panel after the first round was closed and were invited to participate in the second round. Seventy-one respondents completed the second survey (77% response rate).


Table 1.  Jurisdictions and expertise of the Delphi panel at Rounds 1 and 2
Each respondent could indicate multiple organisation types, roles and jurisdictions. Data are presented as n (%)
T1


Fig. 1.  Flowchart of the process to form the Delphi panel.
F1

Experts represented all Australian states and territories and a wide range of expertise (Table 1). Respondents were affiliated with hospital networks (37%), academic institutions (37%), health policy or government organisations (31%), primary health networks (15%), health funding organisations (14%) and consumer advocacy organisations (6%). Sixty-one respondents (86%) reported senior level expertise (i.e. in a position to influence strategic and investment decisions for middle- and long-term objectives).

Results of Round 1 (open round): additional delivery arrangements

In Round 1, 82 respondents made a total of 256 suggestions of additional delivery arrangements not identified in the preceding scoping review. The most common suggestions related to the category ‘ICT systems’ (n = 70), followed by ‘who provides care and how the healthcare workforce is managed’ category (n = 56). Twenty-three suggestions were deemed out of scope due to not being concerned with how care is delivered but rather, for example, how it is financed (e.g. fee-for-service vs capitation) or governed (e.g. changes in rules or processes that determine authority and accountability), lifestyle and prevention interventions (not in scope unless delivered in alternative ways), environmental interventions (e.g. plastic recycling) or changing the nature of care rather than how it is delivered (e.g. delayed antibiotic prescriptions, reduced opioid prescriptions).

The 84 delivery arrangements derived from the scoping review were combined with respondent suggestions from Round 1 to form 106 delivery arrangements for Round 2 (Supplementary File S2; Table S2).

Results of Round 2 (scoring round): prioritisation

Fourteen delivery arrangements were rated as ‘high priority’ or ‘very high priority’ by ≥70% of the panel (Table 2). Of these, three alternatives were rated as high priority by >80% of the panel. Two constituted different forms of collocation and coordination of care for older adults living in residential aged care facilities and the third was the provision of multidisciplinary care for a range of chronic conditions.


Table 2.  Results of the Delphi study
Alternative delivery arrangements rated as high or very high priority by ≥70% of panel. COPD, chronic obstructive pulmonary disease; ED, emergency department; EPOC, Effective Practice and Organisation of Care; GP, general practitioner; IV, intravenous; ICT, information and communication technology; ICU, intensive care unit; OT, occupational therapist
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Another 45 delivery arrangements reached consensus among 50–69% of the panel as ‘high priority’ or ‘very high priority’ (Supplementary Table S4). No consensus was reached by the panel on the remaining 47 delivery arrangements (Supplementary Table S5). No delivery arrangement from the list was deemed low priority by the panel. For 33 arrangements, <20% of respondents indicated ‘I don’t know’ or left the response option blank. Few respondents (7%) provided reasons for their priority ratings in the free-text fields.

Sixteen respondents indicated that one or more of the listed delivery arrangements was already in use in Australia. ‘Day surgery vs in-patient (overnight stay) surgery for age-related cataract, hernia and other procedures’ was the most frequently reported delivery arrangement currently already in use in Australia (n = 8 respondents), followed by ‘early supported discharge and rehabilitation at home vs in-patient stay’ (n = 5).


Discussion

The findings of this study demonstrate that consensus exists among experts across different stakeholder groups regarding 14 alternative delivery arrangements that could be promising for increasing value in the delivery of health care in Australia. The highest-ranked delivery arrangements focus on populations that have chronic and/or complex care needs and use a significant amount of healthcare resources. This study demonstrated feasibility of a novel prioritisation process that combined synthesised research evidence with stakeholder priorities. The extent of stakeholder engagement in this study means these models are likely to have high engagement and interest. This is one stage in the larger program of research to inform the implementation of high-value service delivery models that address local priorities.

Bringing medical care closer to residential aged care facilities and improving coordination of care was rated as the highest-priority delivery arrangement. Older Australians living in residential aged care constitute 9–18% of all emergency department presentations in their age group14 and are more likely to require hospitalisation.15,16 An interim report by the Australian Royal Commission into Aged Care Quality and Safety17 urged the aged care sector to consider ‘different care models…and a stronger, closer interface with the acute healthcare sector’. Several alternative models of care for aged care residents have been trialled in recent years in Australia and other high-income countries,1823 but the evidence about the effects of these models has not been synthesised.

The next highest-rated model of care was providing a single point of access to multidisciplinary care for people with multiple conditions. This speaks to the need to overcome the fragmentation and duplication of care for people with multimorbidity.24 Single-point-access multidisciplinary care can be challenging because care involving multiple health professionals is logistically complex, and the composition of a multidisciplinary team may need to change over time as the patient’s condition changes.25 For this priority, the effectiveness and cost-effectiveness of such interventions are uncertain.2628

Delphi experts also prioritised interventions focused on better-coordinated, supported and earlier hospital discharge, as well as several other interventions to improve coordination, continuity and integration of care. There is moderate certainty evidence that tailored discharge planning and some models of early supported discharge reduce resource use without compromising patient outcomes for selected groups of patients.29,30 Relevant to the context of early discharge, home support for carers has also been rated as a high priority, but evidence around its effects is uncertain.3134 Telehealth applications for health care delivery were also rated as promising for improving sustainability. Most of the current evidence assesses the effects of these interventions on patient outcomes, whereas cost savings are often implied but rarely investigated.3538 A review comparing chemotherapy at home to other settings has found little or no difference in patient quality of life or adverse events, but certainty of evidence has not been assessed and no conclusions could be drawn about the cost-effectiveness of this model of care.39 Further, evidence suggests stepped care versus usual care for anxiety may lead to modest beneficial effects on anxiety symptoms, whereas findings for depression outcomes were mixed.40,41 The cost-effectiveness of stepped care for both anxiety and depression outcomes was uncertain.40,41 Consultation liaison may improve patients’ mental health outcomes,42 but the effect on healthcare costs, as well as on patient outcomes and costs in other contexts, is uncertain.4347

The results of this Delphi study are shaped by the composition of the panel, including their tacit knowledge, interests and expertise. Where consensus was not reached, our findings should not be perceived as evidence that these arrangements have no importance, because these interventions may still be of relevance for specific contexts or conditions. Interestingly, the results of the Delphi study showed that some models with evidence of beneficial effects did not reach consensus (e.g. group prenatal care), whereas other models where evidence is scarce received high rating. This may point to knowledge gaps or misalignment of research effort with stakeholders’ priorities, but also highlight broader challenges of evaluating the effectiveness and cost-effectiveness of alternative models of care in health systems. Stakeholders assessed the presented evidence in their local context and considered factors beyond the evidence about effects (e.g. unmet need, feasibility and acceptability). None of the models had consensus of ‘not a priority’, which may be explained, in part, by study procedures (models were prioritised using a Likert scale rather than ranked) and the fact that sources of information were published reviews (usually done when there is interest in the topic) and Delphi panel input.

The findings of our study should be interpreted in view of several limitations. To make the survey manageable, only delivery arrangements identified in Cochrane systematic reviews published in the past 5 years were included in Round 1, possibly resulting in several promising delivery arrangements being omitted from the initial list. However, we collected over 250 additional suggestions from respondents in Round 1 that led to an extensive list of relevant models. To reduce the burden on Delphi participants, conceptually similar alternative models were combined to form a single alternative delivery arrangement. This inevitably led to some loss of detail, which, in turn, may have affected participants’ ability to prioritise. We purposely did not limit the Delphi study to alternative models that have evidence of better or equal effects compared with usual care. Our approach allowed us to identify priority areas for both potential implementation as well as areas where future research is needed. Although a three-round Delphi survey was initially planned, in view of the large number of models that were rated as high priority in Round 2, we decided that a third round was unlikely to meaningfully add to the results. Finally, although a balanced expert panel in terms of geographical and sector representation was sought, imbalances in the panel, with notable underrepresentation of consumers and primary health networks, may have influenced the findings.

In conclusion, a strong consensus exists among policy makers, health service managers, clinicians and consumer leaders regarding the potential for 14 alternative models of care to improve the sustainability of Australia’s health system. Improving arrangements for medical service provision in residential care facilities, providing single-point-access multidisciplinary care for a range of complex conditions and providing tailored early discharge and hospital-at-home instead of in-patient stay were rated the three highest priorities. Although the prioritised alternative models indicate areas where stakeholder engagement is likely to be high, further research is needed to demonstrate the effectiveness and cost-effectiveness of some of these models.


Conflict of interest

The authors declare no conflicts of interest.



Acknowledgement

This study was conducted as part of a 5-year Partnership Centre for Health Systems Sustainability, funded by the Australian National Health and Medical Research Council (NHMRC) and other partners (see https://www.healthsystemsustainability.com.au/). This work was supported by an NHMRC Partnership Centre for Health System Sustainability (Grant ID: 9100002), together with funding partners BUPA Health Foundation, NSW Health, the Department of Health, Western Australia and The University of Notre Dame Australia. Rachelle Buchbinder is funded by an NHMRC Senior Principal Research Fellowship (#APP1082138). Denise A. O’Connor is supported by an NHMRC Translating Research into Practice Fellowship (APP1168749).


References

[1]  OECD. Fiscal sustainability of health systems: bridging health and finance perspectives. Paris: OECD Publishing. 2015. Available at: https://www.oecd.org/publications/fiscal-sustainability-of-health-systems-9789264233386-en.htm [verified February 2021]

[2]  Jessup R, Putrik P, Buchbinder R, Nezon J, Rischin K, Cyril S, Shepperd S, O’Connor DA. Identifying alternative models of healthcare service delivery to inform health system improvement: scoping review of systematic reviews. BMJ Open 2020; 10 e036112
Identifying alternative models of healthcare service delivery to inform health system improvement: scoping review of systematic reviews.Crossref | GoogleScholarGoogle Scholar | 32690732PubMed |

[3]  Hasson F, Keeney S, McKenna H. Research guidelines for the Delphi survey technique. J Adv Nurs 2000; 32 1008–15.
| 11095242PubMed |

[4]  Dalkey, N.C., The Delphi method. An Experimental Study of Group Opinion. Santa Monica, CA: Rand. 1967.

[5]  Schmeer K. Guidelines for conducting a stakeholder analysis. Bethesda, MD: Partnerships for Health Reform, Abt Associates Inc. 1999. Available at http://www.who.int/management/partnerships/overall/GuidelinesConductingStakeholderAnalysis.pdf, [verified August 2020].

[6]  Brugha R, Varvasovszky Z. Stakeholder analysis: a review. Health Policy Plan 2000; 15 239–46.
Stakeholder analysis: a review.Crossref | GoogleScholarGoogle Scholar | 11012397PubMed |

[7]  NHMRC PCHSS. NHMRC Partnership Centre for Health System Sustainability. Sydney: Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation. 2016. Available at: https://www.healthsystemsustainability.com.au/ [verified October 2020].

[8]  Dillman DA. Mail and internet surveys: The tailored design method (2nd ed.). Hoboken, NJ, US: John Wiley & Sons Inc. 2007.

[9]  Walker AM, Selfe J. The Delphi method: a useful tool for the allied health researcher. Br J Ther Rehabil 1996; 3 677–81.
The Delphi method: a useful tool for the allied health researcher.Crossref | GoogleScholarGoogle Scholar |

[10]  Effective Practice and Organisation of Care (EPOC). EPOC Taxonomy. London: Cochrane. 2015. Available at https://epoc.cochrane.org/epoc-taxonomy [verified February 2021].

[11]  Jünger S, Payne SA, Brine J, Radbruch L, Brearley SG. Guidance on Conducting and REporting DElphi Studies (CREDES) in palliative care: Recommendations based on a methodological systematic review. Palliat Med 2017; 31 684–706.
Guidance on Conducting and REporting DElphi Studies (CREDES) in palliative care: Recommendations based on a methodological systematic review.Crossref | GoogleScholarGoogle Scholar | 28190381PubMed |

[12]  Kelley K, Clark B, Brown V, Sitzia J. Good practice in the conduct and reporting of survey research. Int J Qual Health Care 2003; 15 261–6.
Good practice in the conduct and reporting of survey research.Crossref | GoogleScholarGoogle Scholar | 12803354PubMed |

[13]  Eysenbach G. Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res 2004; 6 e34
Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES).Crossref | GoogleScholarGoogle Scholar | 15471763PubMed |

[14]  Arendts G, Howard K. The interface between residential aged care and the emergency department: a systematic review. Age Ageing 2010; 39 306–12.
The interface between residential aged care and the emergency department: a systematic review.Crossref | GoogleScholarGoogle Scholar | 20176712PubMed |

[15]  Crilly J, Chaboyer W, Wallis M. A structure and process evaluation of an Australian hospital admission avoidance programme for aged care facility residents. J Adv Nurs 2012; 68 322–34.
A structure and process evaluation of an Australian hospital admission avoidance programme for aged care facility residents.Crossref | GoogleScholarGoogle Scholar | 21679228PubMed |

[16]  Arendts G, Lowthian J. Demography is destiny: an agenda for geriatric emergency medicine in Australasia. Emerg Med Australas 2013; 25 271–8.
Demography is destiny: an agenda for geriatric emergency medicine in Australasia.Crossref | GoogleScholarGoogle Scholar | 23759050PubMed |

[17]  The Royal Commission into Aged Care Quality and Safety. The Royal Commission into Aged Care Quality and Safety’s Interim Report. Adelaide: Royal Commission. 2019. Available at https://agedcare.royalcommission.gov.au/publications/interim-report [verified February 2021].

[18]  Harvey P, Storer M, Berlowitz DJ, Jackson B, Hutchinson A, Lim WK. Feasibility and impact of a post-discharge geriatric evaluation and management service for patients from residential care: the Residential Care Intervention Program in the Elderly (RECIPE). BMC Geriatr 2014; 14 48
Feasibility and impact of a post-discharge geriatric evaluation and management service for patients from residential care: the Residential Care Intervention Program in the Elderly (RECIPE).Crossref | GoogleScholarGoogle Scholar | 24735110PubMed |

[19]  Connolly MJ, Boyd M, Broad JB, Kerse N, Lumley T, Whitehead N, Foster S. The Aged Residential Care Healthcare Utilization Study (ARCHUS): a multidisciplinary, cluster randomized controlled trial designed to reduce acute avoidable hospitalizations from long-term care facilities. J Am Med Dir Assoc 2015; 16 49–55.
The Aged Residential Care Healthcare Utilization Study (ARCHUS): a multidisciplinary, cluster randomized controlled trial designed to reduce acute avoidable hospitalizations from long-term care facilities.Crossref | GoogleScholarGoogle Scholar | 25239019PubMed |

[20]  Brodaty H, Draper BM, Millar J, Low LF, Lie D, Sharah S, Paton H. Randomized controlled trial of different models of care for nursing home residents with dementia complicated by depression or psychosis. J Clin Psychiatry 2003; 64 63–72.
Randomized controlled trial of different models of care for nursing home residents with dementia complicated by depression or psychosis.Crossref | GoogleScholarGoogle Scholar | 12590626PubMed |

[21]  Boorsma M, Frijters DH, Knol DL, Ribbe ME, Nijpels G, van Hout HP. Effects of multidisciplinary integrated care on quality of care in residential care facilities for elderly people: a cluster randomized trial. CMAJ 2011; 183 E724–32.
Effects of multidisciplinary integrated care on quality of care in residential care facilities for elderly people: a cluster randomized trial.Crossref | GoogleScholarGoogle Scholar | 21708967PubMed |

[22]  MacNeil Vroomen JL, Boorsma M, Bosmans JE, Frijters DH, Nijpels G, van Hout HP. Is it time for a change? A cost-effectiveness analysis comparing a multidisciplinary integrated care model for residential homes to usual care. PLoS One 2012; 7 e37444
Is it time for a change? A cost-effectiveness analysis comparing a multidisciplinary integrated care model for residential homes to usual care.Crossref | GoogleScholarGoogle Scholar | 22655047PubMed |

[23]  Haines TP, Palmer AJ, Tierney P, Si L, Robinson AL. A new model of care and in-house general practitioners for residential aged care facilities: a stepped wedge, cluster randomised trial. Med J Aust 2020; 212 409–15.
A new model of care and in-house general practitioners for residential aged care facilities: a stepped wedge, cluster randomised trial.Crossref | GoogleScholarGoogle Scholar | 32237279PubMed |

[24]  Doessing A, Burau V. Care coordination of multimorbidity: a scoping study. J Comorb 2015; 5 15–28.
Care coordination of multimorbidity: a scoping study.Crossref | GoogleScholarGoogle Scholar | 29090157PubMed |

[25]  Mitchell GK, Tieman JJ, Shelby-James TM. Multidisciplinary care planning and teamwork in primary care. Med J Aust 2008; 188 S61–4.
Multidisciplinary care planning and teamwork in primary care.Crossref | GoogleScholarGoogle Scholar | 18429739PubMed |

[26]  Takeda A, Martin N, Taylor RS, Taylor SJ. Disease management interventions for heart failure. Cochrane Database Syst Rev 2019; 1 CD002752
| 30620776PubMed |

[27]  Smith SM, Cousins G, Clyne B, Allwright S, O’Dowd T. Shared care across the interface between primary and specialty care in management of long term conditions. Cochrane Database Syst Rev 2017; 2 CD004910
Shared care across the interface between primary and specialty care in management of long term conditions.Crossref | GoogleScholarGoogle Scholar | 28230899PubMed |

[28]  Smith SM, Wallace E, O’Dowd T, Fortin M. Interventions for improving outcomes in patients with multimorbidity in primary care and community settings. Cochrane Database Syst Rev 2016; 3 CD006560
Interventions for improving outcomes in patients with multimorbidity in primary care and community settings.Crossref | GoogleScholarGoogle Scholar | 26976529PubMed |

[29]  Gonçalves-Bradley DC, Lannin NA, Clemson LM, Cameron ID, Shepperd S. Discharge planning from hospital. Cochrane Database Syst Rev 2016; CD000313
| 27911487PubMed |

[30]  Langhorne P, Baylan S, Early Supported Discharge T. Early supported discharge services for people with acute stroke. Cochrane Database Syst Rev 2017; 7 CD000443
Early supported discharge services for people with acute stroke.Crossref | GoogleScholarGoogle Scholar | 28721691PubMed |

[31]  Legg LA, Quinn TJ, Mahmood F, Weir CJ, Tierney J, Stott DJ, Smith LN, Langhorne P. Non-pharmacological interventions for caregivers of stroke survivors. Cochrane Database Syst Rev 2011; CD008179
Non-pharmacological interventions for caregivers of stroke survivors.Crossref | GoogleScholarGoogle Scholar | 21975778PubMed |

[32]  Rodakowski J, Rocco PB, Ortiz M, Folb B, Schulz R, Morton SC, Leathers SC, Hu L, James AE. Caregiver Integration During Discharge Planning for Older Adults to Reduce Resource Use: A Metaanalysis. J Am Geriatr Soc 2017; 65 1748–55.
Caregiver Integration During Discharge Planning for Older Adults to Reduce Resource Use: A Metaanalysis.Crossref | GoogleScholarGoogle Scholar | 28369687PubMed |

[33]  Chi NC, Demiris G. A systematic review of telehealth tools and interventions to support family caregivers. J Telemed Telecare 2015; 21 37–44.
A systematic review of telehealth tools and interventions to support family caregivers.Crossref | GoogleScholarGoogle Scholar | 25475220PubMed |

[34]  Prvu Bettger J, Alexander KP, Dolor RJ, Olson DM, Kendrick AS, Wing L, Coeytaux RR, Graffagnino C, Duncan PW. Transitional care after hospitalization for acute stroke or myocardial infarction: a systematic review. Ann Intern Med 2012; 157 407–16.
Transitional care after hospitalization for acute stroke or myocardial infarction: a systematic review.Crossref | GoogleScholarGoogle Scholar | 22986378PubMed |

[35]  Flodgren G, Rachas A, Farmer AJ, Inzitari M, Shepperd S. Interactive telemedicine: effects on professional practice and health care outcomes. Cochrane Database Syst Rev 2015; CD002098
Interactive telemedicine: effects on professional practice and health care outcomes.Crossref | GoogleScholarGoogle Scholar | 26343551PubMed |

[36]  Lee PA, Greenfield G, Pappas Y. The impact of telehealth remote patient monitoring on glycemic control in type 2 diabetes: a systematic review and meta-analysis of systematic reviews of randomised controlled trials. BMC Health Serv Res 2018; 18 495
The impact of telehealth remote patient monitoring on glycemic control in type 2 diabetes: a systematic review and meta-analysis of systematic reviews of randomised controlled trials.Crossref | GoogleScholarGoogle Scholar | 29940936PubMed |

[37]  Bashi N, Karunanithi M, Fatehi F, Ding H, Walters D. Remote Monitoring of Patients With Heart Failure: An Overview of Systematic Reviews. J Med Internet Res 2017; 19 e18
Remote Monitoring of Patients With Heart Failure: An Overview of Systematic Reviews.Crossref | GoogleScholarGoogle Scholar | 28108430PubMed |

[38]  de la Torre-Díez I, Lopez-Coronado M, Vaca C, Aguado JS, de Castro C. Cost-utility and cost-effectiveness studies of telemedicine, electronic, and mobile health systems in the literature: a systematic review. Telemed J E Health 2015; 21 81–5.
Cost-utility and cost-effectiveness studies of telemedicine, electronic, and mobile health systems in the literature: a systematic review.Crossref | GoogleScholarGoogle Scholar | 25474190PubMed |

[39]  Corbett M, Heirs M, Rose M, Smith A, Stirk L, Richardson G, Stark D, Swinson D, Craig D, Eastwood A. The delivery of chemotherapy at home: an evidence synthesis. Southampton (UK): NIHR Journals Library; 2015 Apr. (Health Services and Delivery Research, No. 3.14.) 2015. Available at: https://www.ncbi.nlm.nih.gov/books/NBK285513/ [verified February 2021].

[40]  Ho FY, Yeung WF, Ng TH, Chan CS. The Efficacy and Cost-Effectiveness of Stepped Care Prevention and Treatment for Depressive and/or Anxiety Disorders: A Systematic Review and Meta-Analysis. Sci Rep 2016; 6 29281
The Efficacy and Cost-Effectiveness of Stepped Care Prevention and Treatment for Depressive and/or Anxiety Disorders: A Systematic Review and Meta-Analysis.Crossref | GoogleScholarGoogle Scholar | 27377429PubMed |

[41]  van Straten A, Hill J, Richards DA, Cuijpers P. Stepped care treatment delivery for depression: a systematic review and meta-analysis. Psychol Med 2015; 45 231–46.
Stepped care treatment delivery for depression: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar | 25065653PubMed |

[42]  Gillies D, Buykx P, Parker AG, Hetrick SE. Consultation liaison in primary care for people with mental disorders. Cochrane Database Syst Rev 2015; CD007193
Consultation liaison in primary care for people with mental disorders.Crossref | GoogleScholarGoogle Scholar | 26599576PubMed |

[43]  Wu CH, Tu ST, Chang YF, Chan DC, Chien JT, Lin CH, Singh S, Dasari M, Chen JF, Tsai KS. Fracture liaison services improve outcomes of patients with osteoporosis-related fractures: A systematic literature review and meta-analysis. Bone 2018; 111 92–100.
Fracture liaison services improve outcomes of patients with osteoporosis-related fractures: A systematic literature review and meta-analysis.Crossref | GoogleScholarGoogle Scholar | 29555309PubMed |

[44]  Wu CH, Kao IJ, Hung WC, Lin SC, Liu HC, Hsieh MH, Bagga S, Achra M, Cheng TT, Yang RS. Economic impact and cost-effectiveness of fracture liaison services: a systematic review of the literature. Osteoporos Int 2018; 29 1227–42.
Economic impact and cost-effectiveness of fracture liaison services: a systematic review of the literature.Crossref | GoogleScholarGoogle Scholar | 29460102PubMed |

[45]  Osuna PM, Ruppe MD, Tabatabai LS. Fracture Liaison Services: Multidisciplinary Approaches to Secondary Fracture Prevention. Endocr Pract 2017; 23 199–206.
Fracture Liaison Services: Multidisciplinary Approaches to Secondary Fracture Prevention.Crossref | GoogleScholarGoogle Scholar | 27849385PubMed |

[46]  Ganda K, Puech M, Chen JS, Speerin R, Bleasel J, Center JR, Eisman JA, March L, Seibel MJ. Models of care for the secondary prevention of osteoporotic fractures: a systematic review and meta-analysis. Osteoporos Int 2013; 24 393–406.
Models of care for the secondary prevention of osteoporotic fractures: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar | 22829395PubMed |

[47]  Rowe BH, Guo X, Villa-Roel C, Schull M, Holroyd B, Bullard M, Vandermeer B, Ospina M, Innes G. The role of triage liaison physicians on mitigating overcrowding in emergency departments: a systematic review. Acad Emerg Med 2011; 18 111–20.
The role of triage liaison physicians on mitigating overcrowding in emergency departments: a systematic review.Crossref | GoogleScholarGoogle Scholar | 21314769PubMed |