1
|
Effective primary care management of type 2 diabetes for indigenous populations: A systematic review. PLoS One 2022; 17:e0276396. [PMID: 36355789 PMCID: PMC9648771 DOI: 10.1371/journal.pone.0276396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 10/06/2022] [Indexed: 11/12/2022] Open
Abstract
Background Indigenous peoples in high income countries are disproportionately affected by Type 2 Diabetes. Socioeconomic disadvantages and inadequate access to appropriate healthcare are important contributors. Objectives This systematic review investigates effective designs of primary care management of Type 2 Diabetes for Indigenous adults in Australia, Canada, New Zealand, and the United States. Primary outcome was change in mean glycated haemoglobin. Secondary outcomes were diabetes-related hospital admission rates, treatment compliance, and change in weight or Body Mass Index. Methods Included studies were critically appraised using Joanna Briggs Institute appraisal checklists. A mixed-method systematic review was undertaken. Quantitative findings were compared by narrative synthesis, meta-aggregation of qualitative factors was performed. Results Seven studies were included. Three reported statistically significant reductions in means HbA1c following their intervention. Seven components of effective interventions were identified. These were: a need to reduce health system barriers to facilitate access to primary care (which the other six components work towards), an essential role for Indigenous community consultation in intervention planning and implementation, a need for primary care programs to account for and adapt to changes with time in barriers to primary care posed by the health system and community members, the key role of community-based health workers, Indigenous empowerment to facilitate community and self-management, benefit of short-intensive programs, and benefit of group-based programs. Conclusions This study synthesises a decade of data from communities with a high burden of Type 2 Diabetes and limited research regarding health system approaches to improve diabetes-related outcomes. Policymakers should consider applying the seven identified components of effective primary care interventions when designing primary care approaches to mitigate the impact of Type 2 Diabetes in Indigenous populations. More robust and culturally appropriate studies of Type 2 Diabetes management in Indigenous groups are needed. Trail registration Registered with PROSPERO (02/04/2021: CRD42021240098).
Collapse
|
2
|
Laycock A, Harvey G, Percival N, Cunningham F, Bailie J, Matthews V, Copley K, Patel L, Bailie R. Application of the i-PARIHS framework for enhancing understanding of interactive dissemination to achieve wide-scale improvement in Indigenous primary healthcare. Health Res Policy Syst 2018; 16:117. [PMID: 30497480 PMCID: PMC6267798 DOI: 10.1186/s12961-018-0392-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 11/08/2018] [Indexed: 12/15/2022] Open
Abstract
Background Participatory research approaches improve the use of evidence in policy, programmes and practice. Few studies have addressed ways to scale up participatory research for wider system improvement or the intensity of effort required. We used the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to analyse implementation of an interactive dissemination process engaging stakeholders with continuous quality improvement (CQI) data from Australian Indigenous primary healthcare centres. This paper reports lessons learnt about scaling knowledge translation research, facilitating engagement at a system level and applying the i-PARIHS framework to a system-level intervention. Methods Drawing on a developmental evaluation of our dissemination process, we conducted a post-hoc analysis of data from project records and interviews with 30 stakeholders working in Indigenous health in different roles, organisation types and settings in one Australian jurisdiction and with national participants. Content-analysed data were mapped onto the i-PARIHS framework constructs to examine factors contributing to the success (or otherwise) of the process. Results The dissemination process achieved wide reach, with stakeholders using aggregated CQI data to identify system-wide priority evidence–practice gaps, barriers and strategies for improvement across the scope of care. Innovation characteristics influencing success were credible data, online dissemination and recruitment through established networks, research goals aligned with stakeholders’ interest in knowledge-sharing and motivation to improve care, and iterative phases of reporting and feedback. The policy environment and infrastructure for CQI, as well as manager support, influenced participation. Stakeholders who actively facilitated organisational- and local-level engagement were important for connecting others with the data and with the externally located research team. Developmental evaluation was facilitative in that it supported real-time adaptation and tailoring to stakeholders and context. Conclusions A participatory research process was successfully implemented at scale without intense facilitation efforts. These findings broaden the notion of facilitation and support the utility of the i-PARIHS framework for planning participatory knowledge translation research at a system level. Researchers planning similar interventions should work through established networks and identify organisational- or local-level facilitators within the research design. Further research exploring facilitation in system-level interventions and the use of interactive dissemination processes in other settings is needed. Electronic supplementary material The online version of this article (10.1186/s12961-018-0392-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Alison Laycock
- Menzies School of Health Research, Charles Darwin University, PO Box 41096, Darwin, Casuarina Northern Territory, 0811, Australia.
| | - Gillian Harvey
- Adelaide Nursing School, The University of Adelaide, North Tce, Adelaide, SA, 5000, Australia
| | - Nikki Percival
- The Australian Centre for Public and Population Health Research, University of Technology Sydney, PO Box 123, Broadway, Ultimo, NSW, 2007, Australia
| | - Frances Cunningham
- Menzies School of Health Research, Charles Darwin University, PO Box 41096, Darwin, Casuarina Northern Territory, 0811, Australia
| | - Jodie Bailie
- The University of Sydney, University Centre for Rural Health, 61 Uralba Street, Lismore, NSW, 2480, Australia
| | - Veronica Matthews
- The University of Sydney, University Centre for Rural Health, 61 Uralba Street, Lismore, NSW, 2480, Australia
| | - Kerry Copley
- Aboriginal Medical Services Alliance Northern Territory, GPO Box 1624, Darwin, Northern Territory, 0801, Australia
| | - Louise Patel
- Aboriginal Medical Services Alliance Northern Territory, GPO Box 1624, Darwin, Northern Territory, 0801, Australia
| | - Ross Bailie
- The University of Sydney, University Centre for Rural Health, 61 Uralba Street, Lismore, NSW, 2480, Australia
| |
Collapse
|
3
|
Bream KDW, Breyre A, Garcia K, Calgua E, Chuc JM, Taylor L. Diabetes prevalence in rural Indigenous Guatemala: A geographic-randomized cross-sectional analysis of risk. PLoS One 2018; 13:e0200434. [PMID: 30091976 PMCID: PMC6084861 DOI: 10.1371/journal.pone.0200434] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 06/26/2018] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Developing countries and Indigenous populations are disproportionately affected by global trends in diabetes (T2DM), but inconsistent data are available to corroborate this pattern in Guatemala and indigenous communities in Central America. Historic estimates of T2DM, using a variety of sampling techniques and diagnostic methods, in Guatemala include a T2DM prevalence of: 4·2% (1970) and 8·4% (2003). Objectives of this geographically randomized, cross-sectional analysis of risk include: (1) use HbA1c to determine prevalence of T2DM and prediabetes in rural Indigenous community of Atitlán (2) identify risk factors for T2DM including age, BMI and gender. METHODS A spatially random sampling method was used to identify 400 subjects. Prevalence was compared using the confidence interval method, and logistic regression and linear regression were used to assess association between diabetes and risk factors. FINDINGS The overall prevalence of T2DM using HbA1c was 13·81% and prediabetes was also 13·81% in Atitlán, representing a tripling in diabetes from historic estimates and a large population with pre-diabetes. The probability of diabetes increased dramatically with increasing age, however no significant overall relationship existed with gender or BMI. CONCLUSIONS Diabetes is a larger epidemic than previously expected and appears to be related to ageing rather than BMI. Our proposed explanations for these findings include: possible Indigenous unique genetic susceptibility to T2DM, shortcomings in BMI as a metric for adiposity in assessing risk, changes in lifestyle and diet, and an overall aging population. The conclusion of this study suggest that (1) T2DM in rural regions of Guatemala may be of epidemic proportion. With pre-diabetes, more than 25% of the population will be diabetic in the very near future; (2) Age is a significant risk factor in the Indigenous population but BMI is not. This suggests that in some populations diabetes may be a disease of ageing.
Collapse
Affiliation(s)
- Kent D. W. Bream
- Department of Family Medicine and Community Health, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Center for Global Health, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Harnwell College House, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Facultad de Ciencias Medicas, Universidad de San Carlos de Guatemala, Ciudad Guatemala, Guatemala
- * E-mail:
| | - Amelia Breyre
- Center for Global Health, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Emergency Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Kristian Garcia
- Harnwell College House, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Health and Societies Program, Department of History and Sociology of Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Erwin Calgua
- Harnwell College House, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Facultad de Ciencias Medicas, Universidad de San Carlos de Guatemala, Ciudad Guatemala, Guatemala
| | - Juan M. Chuc
- Hospitalito Atitlán, Canton Ch’utch’aj, Santiago Atitlán, Sololá, Guatemala
| | - Lynne Taylor
- Center of Excellence for Diversity in Health Education and Research, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| |
Collapse
|
4
|
Crowshoe L, Dannenbaum D, Green M, Henderson R, Hayward MN, Toth E. Type 2 Diabetes and Indigenous Peoples. Can J Diabetes 2018; 42 Suppl 1:S296-S306. [DOI: 10.1016/j.jcjd.2017.10.022] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Indexed: 12/16/2022]
|
5
|
Grooten L, Borgermans L, Vrijhoef HJM. An Instrument to Measure Maturity of Integrated Care: A First Validation Study. Int J Integr Care 2018; 18:10. [PMID: 29588644 PMCID: PMC5853880 DOI: 10.5334/ijic.3063] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 11/28/2017] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Lessons captured from interviews with 12 European regions are represented in a new instrument, the B3-Maturity Model (B3-MM). B3-MM aims to assess maturity along 12 dimensions reflecting the various aspects that need to be managed in order to deliver integrated care. The objective of the study was to test the content validity of B3-MM as part of SCIROCCO (Scaling Integrated Care into Context), a European Union funded project. METHODS A literature review was conducted to compare B3-MM's 12 dimensions and their measurement scales with existing measures and instruments that focus on assessing the development of integrated care. Subsequently, a three-round survey conducted through a Delphi study with international experts in the field of integrated care was performed to test the relevance of: 1) the dimensions, 2) the maturity indicators and 3) the assessment scale used in B3-MM. RESULTS The 11 articles included in the literature review confirmed all the dimensions described in the original version of B3-MM. The Delphi study rounds resulted in various phrasing amendments of indicators and assessment scale. Full agreement among the experts on the relevance of the 12 B3-MM dimensions, their indicators, and assessment scale was reached after the third Delphi round. CONCLUSION AND DISCUSSION The B3-MM dimensions, maturity indicators and assessment scale showed satisfactory content validity. While the B3-MM is a unique instrument based on existing knowledge and experiences of regions in integrated care, further testing is needed to explore other measurement properties of B3-MM.
Collapse
Affiliation(s)
- Liset Grooten
- Department of Family Medicine and Chronic Care, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, B-1090 Brussels, BE
| | - Liesbeth Borgermans
- Department of Family Medicine and Chronic Care, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, B-1090 Brussels, BE
| | - Hubertus JM Vrijhoef
- Department of Family Medicine and Chronic Care, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, B-1090 Brussels, BE
- Department Patient and Care, Maastricht University Medical Center, Maastricht, NL
- Panaxea B.V., Amsterdam, NL
| |
Collapse
|
6
|
Abstract
Purpose
Integration is policy, practice as well as object of systematic investigation. What we do not know is whether or not integration can be understood as a science. In his book The Structure of Scientific Revolutions, Thomas Kuhn formulated a notion of (natural) sciences based on the emergence of commitments amongst a community of scientists to a set of logics, model and exemplars. He called this a paradigm. The purpose of this paper is to assess the scientific nature of integration by perceiving it as a paradigm in Kuhn’s sense.
Design/methodology/approach
The paper proceeds by conceptual reflection through matching existing components, theories and exemplifications of integration to Kuhn’s model of a scientific paradigm. Integration is understood broadly, either vertical or horizontal, and located within the practical domains of policy formulation, policy implementation and evaluation research. The nature, scope and depth of group commitments amongst students and practitioners of integration receive particular attention in line with Kuhn’s social interactionist approach.
Findings
Employing Kuhn’s notion of paradigm in the context of integration highlights the fundamental tension between integration efforts and integration outcomes. Whilst integration defines itself in contradistinction to professional boundaries and fragmentation, the paper argues that it fails to develop a strong theoretical and empirical foundation for a robust and stable group commitment. The reason is that the key motivational force that may create a stable group commitment amongst those engaged in integration, the patient perspective, remains outside the integration paradigm. This leaves integration as a practice and policy model underdeveloped, mainly paradigmatically illustrated by singular exemplars and rooted in aspirational policy vocabulary, while clustered around a near dogmatic belief that working together between services must lead to improved quality of care. To become a scientific paradigm the group commitment in integration would have to coalesce around a clear ontology (symbolic generalisations), epistemology (models of knowledge) and manifestations in practice (exemplars).
Research limitations/implications
At present both the ontology and epistemological foundations of integration practice and research are insufficiently clear. This hampers the development of integration practice as well as a better understanding of how to evaluate integration outcomes. Future studies should focus on the depth, nature and subject of group commitments to assess whether integration is a viable candidate for scientific paradigm or an assorted construct of policy aspirations.
Originality/value
The paper questions the rigour and trajectory of integration practice, policy and research. It identifies a tension at the centre of the field between group commitments to scientific exemplars (case studies) and symbolic generalisations, encapsulated in the desire to improve patient care. The notion of a scientific paradigm thus helps to re-frame the discussion about research and practice in integration.
Collapse
|
7
|
Banham D, Chen T, Karnon J, Brown A, Lynch J. Sociodemographic variations in the amount, duration and cost of potentially preventable hospitalisation for chronic conditions among Aboriginal and non-Aboriginal Australians: a period prevalence study of linked public hospital data. BMJ Open 2017; 7:e017331. [PMID: 29038183 PMCID: PMC5652548 DOI: 10.1136/bmjopen-2017-017331] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 07/05/2017] [Accepted: 07/26/2017] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES To determine disparities in rates, length of stay (LOS) and hospital costs of potentially preventable hospitalisations (PPH) for selected chronic conditions among Aboriginal and non-Aboriginal South Australians (SA), then examine associations with area-level socioeconomic disadvantage and remoteness. SETTING Period prevalence study using linked, administrative public hospital records. PARTICIPANTS Participants included all SA residents in 2005-2006 to 2010-2011. Analysis focused on those individuals experiencing chronic PPH as defined by the Australian Institute of Health and Welfare. PRIMARY OUTCOME MEASURES Number and rates (unadjusted, then adjusted for sex and age) of chronic PPH, total LOS and direct hospital costs by Aboriginality. RESULTS Aboriginal SAs experienced higher risk of index chronic PPH compared with non-Aboriginals (11.5 and 6.2 per 1000 persons per year, respectively) and at younger ages (median age 48 vs 70 years). Once hospitalised, Aboriginal people experienced more chronic PPH events, longer total LOS with higher costs than non-Aboriginal people (2.6 vs 1.9 PPH per person; 11.7 vs 9.0 days LOS; at $A17 928 vs $A11 515, respectively). Compared with population average LOS, the standardised rate ratio of LOS among Aboriginal people increased by 0.03 (95% CI 0.00 to 0.07) as disadvantage rank increased and 1.04 (95% CI 0.63 to 1.44) as remoteness increased. Non-Aboriginal LOS also increased as disadvantage increased but at a lower rate (0.01 (95% CI 0.01 to 0.01)). Costs of Aboriginal chronic PPH increased by 0.02 (95% CI 0.00 to 0.06) for each increase in disadvantage and 1.18 (95% CI 0.80 to 1.55) for increased remoteness. Non-Aboriginal costs also increased as disadvantage increased but at lower rates (0.01 (95% CI 0.01 to 0.01)). CONCLUSION Aboriginal people's heightened risk of chronic PPH resulted in more time in hospital and greater cost. Systematic disparities in chronic PPH by Aboriginality, area disadvantage and remoteness highlight the need for improved uptake of effective primary care. Routine, regional reporting will help monitor progress in meeting these population needs.
Collapse
Affiliation(s)
- David Banham
- School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Tenglong Chen
- Wardliparingga Aboriginal Research Unit, The South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Medical Science, Griffith Health, Griffith University, Gold Coast, Queensland, Australia
| | - Jonathan Karnon
- School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Alex Brown
- Wardliparingga Aboriginal Research Unit, The South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - John Lynch
- School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| |
Collapse
|
8
|
Oetzel J, Scott N, Hudson M, Masters-Awatere B, Rarere M, Foote J, Beaton A, Ehau T. Implementation framework for chronic disease intervention effectiveness in Māori and other indigenous communities. Global Health 2017; 13:69. [PMID: 28870225 PMCID: PMC5584010 DOI: 10.1186/s12992-017-0295-8] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 08/30/2017] [Indexed: 01/28/2023] Open
Abstract
Background About 40% of all health burden in New Zealand is due to cancer, cardiovascular disease, and type 2 diabetes/obesity. Outcomes for Māori (indigenous people) are significantly worse than non-Maori; these inequities mirror those found in indigenous communities elsewhere. Evidence-based interventions with established efficacy may not be effective in indigenous communities without addressing specific implementation challenges. We present an implementation framework for interventions to prevent and treat chronic conditions for Māori and other indigenous communities. Theoretical framework The He Pikinga Waiora Implementation Framework has indigenous self-determination at its core and consists of four elements: cultural-centeredness, community engagement, systems thinking, and integrated knowledge translation. All elements have conceptual fit with Kaupapa Māori aspirations (i.e., indigenous knowledge creation, theorizing, and methodology) and all have demonstrated evidence of positive implementation outcomes. Applying the framework A coding scheme derived from the Framework was applied to 13 studies of diabetes prevention in indigenous communities in Australia, Canada, New Zealand, and the United States from a systematic review. Cross-tabulations demonstrated that culture-centeredness (p = .008) and community engagement (p = .009) explained differences in diabetes outcomes and community engagement (p = .098) explained difference in blood pressure outcomes. Implications and conclusions The He Pikinga Waiora Implementation Framework appears to be well suited to advance implementation science for indigenous communities in general and Māori in particular. The framework has promise as a policy and planning tool to evaluate and design effective interventions for chronic disease prevention in indigenous communities.
Collapse
Affiliation(s)
- John Oetzel
- University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand.
| | - Nina Scott
- Waikato District Health Board, Pembroke Street, Private Bag 3200, Hamilton, 3240, New Zealand
| | - Maui Hudson
- University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| | | | - Moana Rarere
- University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| | - Jeff Foote
- The Institute of Environmental Science and Research, 34 Kenepuru Drive, PO Box 50348, Porirua, 5240, New Zealand
| | - Angela Beaton
- Waikato Institute of Technology, Private Bag 3036, Waikato Mail Centre, Hamilton, 3240, New Zealand
| | - Terry Ehau
- University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| |
Collapse
|
9
|
Bailie J, Matthews V, Laycock A, Schultz R, Burgess CP, Peiris D, Larkins S, Bailie R. Improving preventive health care in Aboriginal and Torres Strait Islander primary care settings. Global Health 2017; 13:48. [PMID: 28705223 PMCID: PMC5512740 DOI: 10.1186/s12992-017-0267-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 06/14/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Like other colonised populations, Indigenous Australians experience poorer health outcomes than non-Indigenous Australians. Preventable chronic disease is the largest contributor to the health differential between Indigenous and non-Indigenous Australians, but recommended best-practice preventive care is not consistently provided to Indigenous Australians. Significant improvement in health care delivery could be achieved through identifying and minimising evidence-practice gaps. Our objective was to use clinical audit data to create a framework of the priority evidence-practice gaps, strategies to address them, and drivers to support these strategies in the delivery of recommended preventive care. METHODS De-identified preventive health clinical audit data from 137 primary health care (PHC) centres in five jurisdictions were analysed (n = 17,108 audited records of well adults with no documented major chronic disease; 367 system assessments; 2005-2014), together with stakeholder survey data relating to interpretation of these data, using a mixed-methods approach (n = 152 responses collated in 2015-16). Stakeholders surveyed included clinicians, managers, policy officers, continuous quality improvement (CQI) facilitators and academics. Priority evidence-practice gaps and associated barriers, enablers and strategies to address the gaps were identified and reported back through two-stages of consultation. Further analysis and interpretation of these data were used to develop a framework of strategies and drivers for health service improvement. RESULTS Stakeholder identified priorities were: following-up abnormal test results; completing cardiovascular risk assessments; timely recording of results; recording enquiries about living conditions, family relationships and substance use; providing support for clients identified with emotional wellbeing risk; enhancing systems to enable team function and continuity of care. Drivers identified for improving care in these areas included: strong Indigenous participation in the PHC service; appropriate team structure and function to support preventive care; meaningful use of data to support quality of care and CQI; and corporate support functions and structures. CONCLUSION The framework should be useful for guiding development and implementation of barrier-driven, tailored interventions for primary health care service delivery and policy contexts, and for guiding further research. While specific strategies to improve the quality of preventive care need to be tailored to local context, these findings reinforce the requirement for multi-level action across the system. The framework and findings may be useful for similar purposes in other parts of the world, with appropriate attention to context in different locations.
Collapse
Affiliation(s)
- Jodie Bailie
- The University of Sydney, University Centre for Rural Health - North Coast, Lismore, NSW, Australia.
| | - Veronica Matthews
- The University of Sydney, University Centre for Rural Health - North Coast, Lismore, NSW, Australia
| | - Alison Laycock
- Charles Darwin University, Menzies School of Health Research, Darwin, NT, Australia
| | - Rosalie Schultz
- Flinders University, Centre for Remote Health, Alice Springs, NT, Australia
| | - Christopher P Burgess
- Charles Darwin University, Menzies School of Health Research, Darwin, NT, Australia.,Department of Health, Northern Territory Government, Darwin, NT, Australia
| | - David Peiris
- The University of New South Wales, George Institute for Global Health, Sydney, NSW, Australia
| | - Sarah Larkins
- James Cook University, College of Medicine and Dentistry, Townsville, QLD, Australia
| | - Ross Bailie
- The University of Sydney, University Centre for Rural Health - North Coast, Lismore, NSW, Australia
| |
Collapse
|
10
|
Harris SB, Tompkins JW, TeHiwi B. Call to action: A new path for improving diabetes care for Indigenous peoples, a global review. Diabetes Res Clin Pract 2017; 123:120-133. [PMID: 28011411 DOI: 10.1016/j.diabres.2016.11.022] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 11/23/2016] [Accepted: 11/30/2016] [Indexed: 12/13/2022]
Abstract
Diabetes has reached epidemic proportions in Indigenous populations around the globe, and there is an urgent need to improve the health and health equity of Indigenous peoples with diabetes through timely and appropriate diabetes prevention and management strategies. This review describes the evolution of the diabetes epidemic in Indigenous populations and associated risk factors, highlighting gestational diabetes and intergenerational risk, lifestyle risk factors and social determinants as having particular importance and impact on Indigenous peoples. This review further describes the impact of chronic disease and diabetes on Indigenous peoples and communities, specifically diabetes-related comorbidities and complications. This review provides continued evidence that dramatic changes are necessary to reduce diabetes-related inequities in Indigenous populations, with a call to action to support programmatic primary healthcare transformation capable of empowering Indigenous peoples and communities and improving chronic disease prevention and management. Promising strategies for transforming health services and care for Indigenous peoples include quality improvement initiatives, facilitating diabetes and chronic disease registry and surveillance systems to identify care gaps, and prioritizing evaluation to build the evidence-base necessary to guide future health policy and planning locally and on a global scale.
Collapse
Affiliation(s)
- Stewart B Harris
- Centre for Studies in Family Medicine, Western Centre for Public Health and Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
| | - Jordan W Tompkins
- Centre for Studies in Family Medicine, Western Centre for Public Health and Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
| | - Braden TeHiwi
- School of Kinesiology, Lakehead University, Thunder Bay, Ontario, Canada.
| |
Collapse
|
11
|
Webster E, Johnson C, Kemp B, Smith V, Johnson M, Townsend B. Theory that explains an Aboriginal perspective of learning to understand and manage diabetes. Aust N Z J Public Health 2016; 41:27-31. [PMID: 27868348 DOI: 10.1111/1753-6405.12605] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 05/01/2016] [Accepted: 07/01/2016] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE To use grounded theory and participatory research methodology to explain how Aboriginal people learn to understand and manage type 2 diabetes. METHODS Aboriginal people with diabetes were invited to participate in one of five focus groups (n=25, male=12, female=13). Focus groups and education sessions were conducted by Aboriginal members of the research team. Focus groups were audio recorded and transcribed, with coding and first level analysis undertaken by all members of the research team. RESULTS Participants described colonisation and dislocation from Country and family members' experiences with diabetes as significant historical influences which, in conjunction with the model of care experienced and the type of interaction with health services, shaped how they came to understand and manage their diabetes. CONCLUSIONS Patient experience of a model of care alone is not what influences understanding and management of diabetes in Aboriginal people. Implications for Public Health: Health service improvements should focus on understanding past experiences of Aboriginal patients, improving interactions with health services and supporting holistic family centred models of care. Focusing on just the model of care in absence of other improvements is unlikely to deliver health benefits to Aboriginal people.
Collapse
Affiliation(s)
- Emma Webster
- School of Rural Health, University of Sydney, New South Wales
| | | | - Bernie Kemp
- Dubbo Regional Aboriginal Health Service, New South Wales
| | - Valerie Smith
- Dubbo Regional Aboriginal Health Service, New South Wales
| | | | - Billie Townsend
- School of Rural Health, University of Sydney, New South Wales
| |
Collapse
|
12
|
Bailie J, Laycock A, Matthews V, Bailie R. System-Level Action Required for Wide-Scale Improvement in Quality of Primary Health Care: Synthesis of Feedback from an Interactive Process to Promote Dissemination and Use of Aggregated Quality of Care Data. Front Public Health 2016; 4:86. [PMID: 27200338 PMCID: PMC4854872 DOI: 10.3389/fpubh.2016.00086] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 04/20/2016] [Indexed: 11/21/2022] Open
Abstract
Introduction There is an enduring gap between recommended practice and care that is actually delivered; and there is wide variation between primary health care (PHC) centers in delivery of care. Where aspects of care are not being done well across a range of PHC centers, this is likely due to inadequacies in the broader system. This paper aims to describe stakeholders’ perceptions of the barriers and enablers to addressing gaps in Australian Aboriginal and Torres Strait Islander chronic illness care and child health, and to identify key drivers for improvement. Methods This paper draws on data collected as part of a large-scale continuous quality improvement project in Australian Indigenous PHC settings. We undertook a qualitative assessment of stakeholder feedback on the main barriers and enablers to addressing gaps in care for Aboriginal and Torres Strait Islander children and in chronic illness care. Themes on barriers and enablers were further analyzed to develop a “driver diagram,” an improvement tool used to locate barriers and enablers within causal pathways (as primary and secondary drivers), enabling them to be targeted by tailored interventions. Results We identified 5 primary drivers and 11 secondary drivers of high-quality care, and associated strategies that have potential for wide-scale implementation to address barriers and enablers for improving care. Perceived barriers to addressing gaps in care included both health system and staff attributes. Primary drivers were: staff capability to deliver high-quality care; availability and use of clinical information systems and decision support tools; embedding of quality improvement processes and data-driven decision-making; appropriate and effective recruitment and retention of staff; and community capacity, engagement and mobilization for health. Suggested strategies included mechanisms for increasing clinical supervision and support, staff retention, reorientation of service delivery, use of information systems and community health literacy. Conclusion The findings identify areas of focus for development of barrier-driven, tailored interventions to improve health outcomes. They reinforce the importance of system-level action to improve health center performance and health outcomes, and of developing strategies to address system-wide challenges that can be adapted to local contexts.
Collapse
Affiliation(s)
- Jodie Bailie
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| | - Alison Laycock
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| | - Veronica Matthews
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| | - Ross Bailie
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| |
Collapse
|
13
|
Laycock A, Bailie J, Matthews V, Bailie R. Interactive Dissemination: Engaging Stakeholders in the Use of Aggregated Quality Improvement Data for System-Wide Change in Australian Indigenous Primary Health Care. Front Public Health 2016; 4:84. [PMID: 27200337 PMCID: PMC4853415 DOI: 10.3389/fpubh.2016.00084] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 04/18/2016] [Indexed: 11/28/2022] Open
Abstract
Background Integrating theory when developing complex quality improvement interventions can help to explain clinical and organizational behavior, inform strategy selection, and understand effects. This paper describes a theory-informed interactive dissemination strategy. Using aggregated quality improvement data, the strategy seeks to engage stakeholders in wide-scale data interpretation and knowledge sharing focused on achieving wide-scale improvement in primary health-care quality. Methods An iterative process involving diverse stakeholders in Australian Aboriginal and Torres Strait Islander health-care delivery uses aggregated audit data collected across key areas of care. Phases of reporting and online feedback are used to identify: (1) priority areas for improvement; (2) health center, system, and staff attributes that may be important in addressing the identified priority evidence-practice gaps; and (3) strategies that could be introduced or strengthened to enable improvement. A developmental evaluation is being used to refine engagement processes and reports as the project progresses. Discussion This innovative dissemination approach is being used to encourage wide-scale interpretation and use of service performance data by policy-makers, managers, and other stakeholders, and to document knowledge about how to address barriers to achieving change. Through the developmental evaluation, the project provides opportunities to learn about stakeholders’ needs in relation to the way data and findings are described and distributed, and elements of the dissemination strategy and report design that impact on the useability and uptake of findings. Conclusion The project can contribute to knowledge about how to facilitate interactive wide-scale dissemination and about using data to co-produce knowledge to improve health-care quality.
Collapse
Affiliation(s)
- Alison Laycock
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| | - Jodie Bailie
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| | - Veronica Matthews
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| | - Ross Bailie
- Menzies School of Health Research, Charles Darwin University , Casuarina, NT , Australia
| |
Collapse
|