The complexity of health service integration: A review of reviews

© 2016 Heyeres, McCalman, Tsey and Kinchin. Background: The aim of health service integration is to provide a sustainable and integrated health system that better meets the needs of the end user. Yet, definitions of health service integration, methods for integrating health services, and expected outcomes are varied. This review was commissioned by Queensland Health, the government department responsible for health service delivery in Queensland, Australia, to inform efforts to integrate their mental health services. This review reports on the characteristics, reported outcomes, and design quality of studies included in systematic reviews of health service integration research. Method: The review was developed by systematically searching nine electronic databases to find peer-reviewed Australian and international systematic reviews with a focus on health service integration. Reviews were included if they were in the English language and published between 2000 and 2015. A standardized assessment tool was used to analyze the study design quality of included reviews. Data relating to the integration types, methods, and reported outcomes of integration were synthesized. Results: Seventeen publications met the inclusion criteria. Eleven (65%) reviews were published during the past 5 years, which may indicate a trend for increased awareness of the need for service integration. The majority of reviews were published by researchers in the UK (8/47%), USA (3/18%), and Australia (3/18%). Included reviews focused on a variety of integration types, including integrated care pathways, governance models, integration of interventions, collaborative/integrated care models, and integration of different types of health care. Most (53%) of the reviews reported on the cost-effectiveness of service integration, e.g., positive results, no effect, or inconclusive. Only one of the reviews reported on the importance of consumer involvement. The overall design of 70% of the reviews was high, 18% medium, and 12% low. Conclusion: There is no "one size fits all" approach to health service integration. Instead, this literature review highlighted the complexity of service integration, which in most primary studies involved a range of strategies. Rigorous assessments of cost-effectiveness and reporting on consumer involvement are required in future research

Evaluating research impact: The development of a research for impact tool

© 2016 Tsey, Lawson, Kinchin, Bainbridge, McCalman, Watkin, Cadet-James and Rossetto. Introduction: This paper examines the process of developing a Research for Impact Tool in the contexts of general fiscal constraint, increased competition for funding, perennial concerns about the over-researching of Aboriginal and Torres Strait Islander issues without demonstrable benefits as well as conceptual and methodological difficulties of evaluating research impact. The aim is to highlight the challenges and opportunities involved in evaluating research impact to serve as resource for potential users of the research for impact tool and others interested in assessing the impact of research. Materials and methods: A combination of literature reviews, workshops with researchers, and reflections by project team members and partners using participatory snowball techniques. Results: Assessing research impact is perceived to be difficult, akin to the so-called "wicked problem," but not impossible. Heuristic and collaborative approach to research that takes the expectations of research users, research participants and the funders of research offers a pragmatic solution to evaluating research impact. The logic of the proposed Research for Impact Tool is based on the understanding that the value of research is to create evidence and/or products to support smarter decisions so as to improve the human condition. Research is, therefore, of limited value unless the evidence created is used to make smarter decisions for the betterment of society. A practical way of approaching research impact is, therefore, to start with the decisions confronting decision makers whether they are government policymakers, industry, professional practitioners, or households and the extent to which the research supports them to make smarter policy and practice decisions and the knock-on consequences of doing so. Embedded at each step in the impact planning and tracking process is the need for appropriate mix of expertise, capacity enhancement, and collaborative participatory learning-by-doing approaches. Discussion: The tool was developed in the context of Aboriginal and Torres Strait Islander research but the basic idea that the way to assess research impact is to start upfront with the information needs of decisions makers is equally applicable to research in other settings, both applied (horizontal) and basic (vertical) research. The tool will be further tested and evaluated with researchers over the next 2 years (2016/17). The decision by the Australian Government to include 'industry engagement' and 'impact' as additions to the Excellence in Research for Australia (ERA) quality measures from 2018 makes the Research for Impact Tool a timely development. The wider challenge is to engage with major Australian research funding agencies to ensure consistent alignment and approaches across research users, communities, and funders in evaluating impact

No one's discussing the elephant in the room: Contemplating questions of research impact and benefit in Aboriginal and Torres Strait Islander Australian health research

© 2015 Bainbridge et al. Background: There remains a concern that Indigenous Australians have been over-researched without corresponding improvements in their health; this trend is applicable to most Indigenous populations globally. This debate article has a dual purpose: 1) to open a frank conversation about the value of research to Indigenous Australian populations; and 2) to stimulate ways of thinking about potential resolutions to the lack of progress made in the Indigenous research benefit debate. Discussion: Capturing the meaning of research benefit takes the form of ethical value-oriented methodological considerations in the decision-making processes of Indigenous research endeavours. Because research practices come from Western knowledge bases, attaining such positions in research means reconciling both Indigenous and Western knowledge systems to produce new methodologies that guide planning, evaluating and monitoring of research practices as necessary. Increasingly, more sophisticated performance measures have been implemented to ensure academic impact and benefits are captured. Assessing societal and other non-academic impacts and benefits however, has not been accorded corresponding attention. Research reform has only focussed on research translation in more recent years. The research impact debate must take account of the various standards of accountability (to whom), impact priorities (for whom), positive and negative impacts, and biases that operate in describing impact and measuring benefit. Summary: A perennial question in Indigenous research discourse is whether the abundance of research conducted; purportedly to improve health, is justified and benefits Indigenous people in ways that are meaningful and valued by them. Different research stakeholders have different conceptions of the value and nature of research, its conduct, what it should achieve and the kinds of benefits expected. We need to work collaboratively and listen more closely to the voice of Indigenous Australians to better understand, demonstrate and measure health research benefits. The authors conclude that as an imperative, a systematic benefit assessment strategy that includes identification of research priorities and planning, monitoring and evaluation components needs to be developed and implemented across research projects. In Indigenous health research, this will often mean adopting a benefit-led approach by changing the way research is done and preferencing alternative research methodologies. As a point of departure to improving impact and reaching mutually beneficial outcomes for researchers and partners in Indigenous health research, we need to routinise the assessment of benefit from outset of research as one of the standards toward which we work

Exploring factors that influence the spread and sustainability of a dysphagia innovation: an instrumental case study

Background: Swallowing difficulties challenge patient safety due to the increased risk of malnutrition, dehydration and aspiration pneumonia. A theoretically driven study was undertaken to examine the spread and sustainability of a locally developed innovation that involved using the Inter-Professional Dysphagia Framework to structure education for the workforce. A conceptual framework with 3 spread strategies (hierarchical control, participatory adaptation and facilitated evolution) was blended with a processual approach to sustaining organisational change. The aim was to understand the processes, mechanism and outcomes associated with the spread and sustainability of this safety initiative. Methods: An instrumental case study, prospectively tracked a dysphagia innovation for 34 months (April 2011 to January 2014) in a large health care organisation in England. A train-the-trainer intervention (as participatory adaptation) was deployed on care pathways for stroke and fractured neck of femur. Data were collected at the organisational and clinical level through interviews (n = 30) and document review. The coding frame combined the processual approach with the spread mechanisms. Pre-determined outcomes included the number of staff trained about dysphagia and impact related to changes in practice. Results: The features and processes associated with hierarchical control and participatory adaptation were identified. Leadership, critical junctures, temporality and making the innovation routine were aspects of hierarchical control. Participatory adaptation was evident on the care pathways through stakeholder responses, workload and resource pressures. Six of the 25 ward based trainers cascaded the dysphagia training. The expected outcomes were achieved when the top-down mandate (hierarchical control) was supplemented by local engagement and support (participatory adaptation). Conclusions: Frameworks for spread and sustainability were combined to create a ‘small theory’ that described the interventions, the processes and desired outcomes a priori. This novel methodological approach confirmed what is known about spread and sustainability, highlighted the particularity of change and offered new insights into the factors associated with hierarchical control and participatory adaptation. The findings illustrate the dualities of organisational change as universal and context specific; as particular and amendable to theoretical generalisation. Appreciating these dualities may contribute to understanding why many innovations fail to become routine

Family-centred interventions by primary healthcare services for Indigenous early childhood wellbeing in Australia, Canada, New Zealand and the United States: a systematic scoping review

© 2017 The Author(s).Background: Primary healthcare services in Australia, Canada, New Zealand and the United States have embraced the concept of family-centred care as a promising approach to supporting and caring for the health of young Indigenous children and their families. This scoping review assesses the quality of the evidence base and identifies the published literature on family- centred interventions for Indigenous early childhood wellbeing. Methods: Fourteen electronic databases, grey literature sources and the reference lists of Indigenous maternal and child health reviews were searched to identify relevant publications from 2000 to 2015. Studies were included if the intervention was: 1) focussed on Indigenous children aged from conception to 5 years from the abovementioned countries; 2) led by a primary healthcare service; 3) described or evaluated; and 4) scored greater than 50% against a validated scale for family-centredness. The study characteristics were extracted and quality rated. Reported aims, strategies, enablers and outcomes of family-centredcare were identified using grounded theory methods. Results: Eighteen studies (reported in 25 publications) were included. Three were randomised controlled studies; most were qualitative and exploratory in design. More than half of the publications were published from 2012 to 2015. The overarching aim of interventions was to promote healthy families. Six key strategies were to: support family behaviours and self- care, increase maternal knowledge, strengthen links with the clinic, build the Indigenous workforce, promote cultural/ community connectedness and advocate for social determinants of health. Four enablers were: competent and compassionate program deliverers, flexibility of access, continuity and integration of healthcare, and culturally supportive care. Health outcomes were reported for Indigenous children (nutritional status; emotional/behavioural; and prevention of injury and illness); parents/caregivers (depression and substance abuse; and parenting knowledge, confidence and skills); health services (satisfaction; access, utilization and cost) and community/cultural revitalisation. Discussion and conclusion: The evidence for family-centred interventions is in the early stages of development, but suggests promise for generating diverse healthcare outcomes for Indigenous children and their parents/caregivers, as well as satisfaction with and utilisation of healthcare, and community/cultural revitalisation. Further research pertaining to the role of fathers in family-centred care, and the effects and costs of interventions is needed

An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.

Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, SepstratifieR, to deploy SRSq in adult and pediatric bacterial and viral sepsis, H1N1 influenza, and COVID-19, demonstrating clinically relevant stratification across diseases and revealing some of the physiological alterations linking immune dysregulation to mortality. Our method enables early identification of individuals with dysfunctional immune profiles, bringing us closer to precision medicine in infection

Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

Background: Geoeconomic variations in epidemiology, the practice of ventilation, and outcome in invasively ventilated intensive care unit (ICU) patients without acute respiratory distress syndrome (ARDS) remain unexplored. In this analysis we aim to address these gaps using individual patient data of four large observational studies. Methods: In this pooled analysis we harmonised individual patient data from the ERICC, LUNG SAFE, PRoVENT, and PRoVENT-iMiC prospective observational studies, which were conducted from June, 2011, to December, 2018, in 534 ICUs in 54 countries. We used the 2016 World Bank classification to define two geoeconomic regions: middle-income countries (MICs) and high-income countries (HICs). ARDS was defined according to the Berlin criteria. Descriptive statistics were used to compare patients in MICs versus HICs. The primary outcome was the use of low tidal volume ventilation (LTVV) for the first 3 days of mechanical ventilation. Secondary outcomes were key ventilation parameters (tidal volume size, positive end-expiratory pressure, fraction of inspired oxygen, peak pressure, plateau pressure, driving pressure, and respiratory rate), patient characteristics, the risk for and actual development of acute respiratory distress syndrome after the first day of ventilation, duration of ventilation, ICU length of stay, and ICU mortality. Findings: Of the 7608 patients included in the original studies, this analysis included 3852 patients without ARDS, of whom 2345 were from MICs and 1507 were from HICs. Patients in MICs were younger, shorter and with a slightly lower body-mass index, more often had diabetes and active cancer, but less often chronic obstructive pulmonary disease and heart failure than patients from HICs. Sequential organ failure assessment scores were similar in MICs and HICs. Use of LTVV in MICs and HICs was comparable (42\ub74% vs 44\ub72%; absolute difference \u20131\ub769 [\u20139\ub758 to 6\ub711] p=0\ub767; data available in 3174 [82%] of 3852 patients). The median applied positive end expiratory pressure was lower in MICs than in HICs (5 [IQR 5\u20138] vs 6 [5\u20138] cm H2O; p=0\ub70011). ICU mortality was higher in MICs than in HICs (30\ub75% vs 19\ub79%; p=0\ub70004; adjusted effect 16\ub741% [95% CI 9\ub752\u201323\ub752]; p<0\ub70001) and was inversely associated with gross domestic product (adjusted odds ratio for a US$10 000 increase per capita 0\ub780 [95% CI 0\ub775\u20130\ub786]; p<0\ub70001). Interpretation: Despite similar disease severity and ventilation management, ICU mortality in patients without ARDS is higher in MICs than in HICs, with a strong association with country-level economic status. Funding: No funding

Identifying associations between diabetes and acute respiratory distress syndrome in patients with acute hypoxemic respiratory failure: an analysis of the LUNG SAFE database

Background: Diabetes mellitus is a common co-existing disease in the critically ill. Diabetes mellitus may reduce the risk of acute respiratory distress syndrome (ARDS), but data from previous studies are conflicting. The objective of this study was to evaluate associations between pre-existing diabetes mellitus and ARDS in critically ill patients with acute hypoxemic respiratory failure (AHRF). Methods: An ancillary analysis of a global, multi-centre prospective observational study (LUNG SAFE) was undertaken. LUNG SAFE evaluated all patients admitted to an intensive care unit (ICU) over a 4-week period, that required mechanical ventilation and met AHRF criteria. Patients who had their AHRF fully explained by cardiac failure were excluded. Important clinical characteristics were included in a stepwise selection approach (forward and backward selection combined with a significance level of 0.05) to identify a set of independent variables associated with having ARDS at any time, developing ARDS (defined as ARDS occurring after day 2 from meeting AHRF criteria) and with hospital mortality. Furthermore, propensity score analysis was undertaken to account for the differences in baseline characteristics between patients with and without diabetes mellitus, and the association between diabetes mellitus and outcomes of interest was assessed on matched samples. Results: Of the 4107 patients with AHRF included in this study, 3022 (73.6%) patients fulfilled ARDS criteria at admission or developed ARDS during their ICU stay. Diabetes mellitus was a pre-existing co-morbidity in 913 patients (22.2% of patients with AHRF). In multivariable analysis, there was no association between diabetes mellitus and having ARDS (OR 0.93 (0.78-1.11); p = 0.39), developing ARDS late (OR 0.79 (0.54-1.15); p = 0.22), or hospital mortality in patients with ARDS (1.15 (0.93-1.42); p = 0.19). In a matched sample of patients, there was no association between diabetes mellitus and outcomes of interest. Conclusions: In a large, global observational study of patients with AHRF, no association was found between diabetes mellitus and having ARDS, developing ARDS, or outcomes from ARDS. Trial registration: NCT02010073. Registered on 12 December 2013