Skip to content

Advertisement

Globalization and Health

What do you think about BMC? Take part in

Open Access

Improving preventive health care in Aboriginal and Torres Strait Islander primary care settings

  • Jodie Bailie1Email author,
  • Veronica Matthews1,
  • Alison Laycock2,
  • Rosalie Schultz3,
  • Christopher P. Burgess2, 4,
  • David Peiris5,
  • Sarah Larkins6 and
  • Ross Bailie1
Globalization and Health201713:48

https://doi.org/10.1186/s12992-017-0267-z

Received: 23 March 2017

Accepted: 14 June 2017

Published: 14 July 2017

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.

Keywords

Preventive health carePrimary health careAboriginal and Torres Strait Islander health

Background

As with other colonised populations worldwide, Aboriginal and Torres Strait Islander Australians (hereafter referred to respectfully as Indigenous Australians) experience poorer health outcomes and shorter life expectancy compared with non-Indigenous Australians [14]. Providing equitable access to primary health care (PHC) is a continuing challenge, despite a universal health insurance scheme (Medicare1) and the funding of community-controlled and government-managed health services specifically designed to meet the health needs of Indigenous Australians (in addition to private general practices) [3, 5]. Colonisation, social determinants, and discrimination are important factors in these inequities [4, 5]. Potentially preventable chronic diseases are the greatest contributor to the difference in health status between Indigenous and non-Indigenous Australians [1]. The role of preventive care in the early detection and management of chronic disease is widely recognised [1, 6, 7].

Consistent with international trends to improve the delivery of preventive health services the Australian Government has introduced policy initiatives to enhance the delivery of preventive care for Indigenous people. Medicare-funded Indigenous-specific health assessments were introduced in 1999 and progressive expansion of these services has resulted in a substantial increase in the delivery of assessments over the past 15 years [810]. Unfortunately, these efforts have had no clear effect on improving mortality and morbidity [11, 12] and follow-up from health assessments has been disproportionally low [8, 9]. This has called into question the effectiveness of health assessments as a way to ensure Indigenous Australians get preventive health services [8, 13]. Concerns have been raised that health assessments may not be reaching those most in need, thereby reducing the potential benefits at a population level [8, 9, 1113]. Consistent with earlier studies [14, 15], a 2016 assessment of the delivery of recommended preventive care for Indigenous Australians found substantial deficiencies in the delivery of recommended care, wide variation in the delivery of service items and a lack of follow-up of abnormal clinical findings [16]. Despite efforts to promote evidence-based preventive care at the PHC level [6] and policy initiatives such as preventive health assessments, delivery of guide-line recommended preventive health care to Indigenous Australians remains suboptimal.

Evidence-practice gaps across many health centres are often due to failures or weaknesses of the wider health system [17, 18]. Large-scale improvement in preventive PHC delivery could be achieved through identifying priority evidence-practice gaps in care and using the information to inform action across the health system [17]. Actions or interventions designed to address known barriers to quality care are more likely to produce change, however few interventions are based on a systematic assessment of barriers [19, 20]. The need for further development of methods to identify barriers and design interventions to address these barriers has been identified [21, 22].

A ‘co-creation approach’ involving researchers, clinicians, administrators, community members and policy makers has been advocated for identifying priorities and driving improvements in care [18, 22, 23]. The value of diverse stakeholder perspectives in improving Indigenous primary health care (PHC) has been established [24]. We drew on this evidence to design a mixed-methods study to engage diverse PHC stakeholders in interpreting aggregated CQI data on preventive care.

The aim of this paper is to describe stakeholder identified priority evidence-practice gaps, stakeholder perceptions of barriers and enablers and suggested strategies for improving preventive care. We use this co-created information to develop a causal pathway diagram, presented as a framework of key factors (or drivers) to improve the delivery of guideline recommended preventive care. This paper contributes to the identification of ways to improve large-scale delivery of preventive health services, thereby reducing health inequalities in access to quality preventive care.

Methods

Developed in 2013, the “Engaging Stakeholders in Identifying Priority Evidence-Practice Gaps and Strategies for Improvement in PHC” (ESP) project brought together the concept of knowledge co-creation [22, 23] and evidence on how to achieve large-scale change [18, 24]. It aimed to engage a wide range of stakeholders in using aggregated continuous quality improvement (CQI) data to identify priority gaps in care, barriers or enablers and strategies for improvement. The ESP Project methods and theoretical base are described in detail elsewhere [18].

Clinical audit and systems assessment

The ESP Project has drawn on CQI data provided by health centres to the Audit and Best Practice for Chronic Disease (ABCD) National Research Partnership, a wide-scale, research-based CQI initiative (2010–2014) [25, 26]. Over 17,000 client records in 137 Indigenous PHC centres were audited for preventive health practices and included in the analysis.

As part of their routine CQI activities, participating health centres performed annual audits of client medical records to determine whether recommended preventive service items were documented as delivered in the previous 24 months [27]. The audit tool and parameters of the outcomes measures were developed by an expert working group and based on evidence and best practice guidelines. To be eligible for inclusion in the audit, a client must: be between 15 and 55 years; resident in the community for at least 6 months; have no diagnosis of diabetes, hypertension, coronary heart disease, chronic heart failure, rheumatic heart disease or chronic kidney disease; not be pregnant or not less than 6 weeks postpartum at the time of audit; and have at least one attendance at the PHC in the previous 24 months. The audit protocol included sampling guidelines to generate a sample likely to reflect the general population of clients. A structured process to assess the organisational systems of the PHC was conducted using the Systems Assessment Tool (SAT) [28].

Ethics

The study was approved by human research ethics committees in the relevant states and territories [25]. All participants in the ESP Project surveys provided individual informed consent.

Project Phases

The project comprised three phases: 1) identifying priority evidence-practice gaps, 2) identifying barriers and enablers to addressing these gaps, 3) data synthesis for development of a framework of drivers and strategies. These phases are described in more detail below. For phases 1 and 2 (the ESP Project), we targeted stakeholders representing diverse roles, PHC settings and organisations who had been identified as having an interest in Indigenous PHC service delivery (including those who participated in the CQI audits), management, research and policy. To enable engagement of those less likely to provide individual responses, we encouraged responses from facilitated group discussions. Some group responses indicated large numbers of participants. Groups reported to be larger than 100 were recorded as 20 individuals to more realistically reflect likely numbers of active contributors. The estimated number of people providing input may therefore be conservative. Networks established over the years of the ABCD National Research Partnership were used to develop circulation lists for the ESP reports and surveys. A snowballing distribution technique was utilised, encouraging people to forward reports and surveys through their professional networks.

Phase 1 – identifying priority evidence-practice gaps in preventive care

During this phase we presented a report of cross-sectional clinical preventive care audit and systems assessment data (2012–2014; 3571 clinical audit records and 71 systems’ assessments from 95 health centres).

The research team developed a preliminary set of priorities using the following criteria: aspects of care that were recorded at low levels; aspects of care where there was wide variation in recorded delivery; or organisational systems that were relatively less developed (based on SAT data) (Additional file 1: Table S1). Through an online survey we asked stakeholders whether the preliminary priorities accord with their experience, to rank the priorities by perceived importance; and to determine if other priorities should be included.

Phase 2 Identifying barriers and enablers and strategies for improvement

We presented a report of the phase 1 findings and trend audit data (2005–2014) from 137 health centres (17,108 clinical audit records and 367 system assessments) that examined trends over time for priority evidence-practice gaps as agreed upon in Phase 1 (Figs. 1, 2, 3, 4, 5, 6, and 7).
Fig. 1

Mean health centre record of plan for follow-up of abnormal blood pressure, blood glucose level and lipid profile, by audit year. Note: Lipid test was introduced into the preventive health audit tool in August 2010

Fig. 2

Mean health centre recording of cardiovascular risk assessment, by audit year. Note: This item was introduced into the preventive health audit tool in August 2010. According to best practice guidelines, clients eligible for absolute cardiovascular risk assessment if: Indigenous, ≥35 years of age and not a resident of the Northern Territory; or Indigenous, ≥20 years of age and a resident of the Northern Territory; or non-Indigenous and 45 years and over

Fig. 3

Mean health centre record of urinalysis and lipid profile, by audit year. Note: Lipid test was introduced into the preventive health audit tool in August 2010

Fig. 4

Mean health centre percentage of clients with record of enquiry regarding environmental and living conditions, family relationships and other substance use, by audit year. Note: These items were introduced into the preventive health audit tool in August 2010

Fig. 5

Mean health centre percentage of clients with a record of emotional wellbeing (EW) follow-up action if identified at risk using a standard tool, by audit year. Note: These indicators were introduced in the audit tool in August 2010 and apply to those clients that had a record of being at risk of an emotional wellbeing issue

Fig. 6

Team structure and function and continuity of care component scores, by audit year

Fig. 7

Mean health centre overall service delivery to well clients. Note: Overall preventive care service delivery composite figure includes: weight, waist circumference, blood pressure, urinalysis, blood glucose level, sexually transmitted infections (gonorrhoea and chlamydia; syphilis), pap smear, oral health, nutrition, physical activity, smoking and alcohol status recorded, brief intervention if smoker and/or high risk alcohol user

Through an online survey, we asked respondents to focus on the trend data and their experience in PHC to a) identify barriers and enablers to improvement and b) new or existing strategies to address the gaps. The survey drew on national and international evidence on health system and staff attributes (domains) that may present obstacles to improvement, such as insufficient finances and resources, lack of patient centred-care and systematic quality improvement. The survey instrument has been published elsewhere [29]. As a member checking process, we distributed the draft final report and invited stakeholder feedback on whether we had accurately captured their views.

Phase 3 Data synthesis for development of framework

Drawing on the survey data provided in the previous phase on the barriers and enablers for addressing the gaps in preventive care, the authors undertook an iterative process to develop a framework for improvement as follows: (1) multiple readings of the survey data and an initial assessment of the emerging barriers and enablers to addressing gaps in care were undertaken by the lead author (JB), using an organising matrix of ‘health system’ or ‘staff attributes’; (2) drawing on this thematic analysis the lead author produced a framework or ‘driver diagram’, a diagrammatic quality improvement tool used to position identified barriers and enablers within causal pathways (referred to as key drivers) [30]; (3) strategies for improvement identified by stakeholders were aligned with the relevant drivers; (4) the driver diagram was reviewed and refined over several iterations by all authors. The authors collectively possess a depth of experience in preventive health provision to Indigenous people, as clinicians, program leaders, policy makers and researchers.

Results

Approximately 152 individuals participated in the online surveys for phases 1 and 2, either as individuals or members of a group (Table 1). Organisations represented included community-controlled and government health services, support and policy organisations, and research institutions. Respondents included nurses, senior managers, CQI facilitators, researchers, Aboriginal Health Practitioners (AHP), policy officers and doctors (Table 1).
Table 1

Survey responses for the preventive health ESP Project phases

 

Phase 1 – Identifying priority evidence-practice gaps

Phase 2 – Barriers and enablers to and strategies for improvement

Individual responses

Group responsesa

Individual responses

Group responsesa

Number of responses

15

4 (on behalf of an estimated 62 people)

3

4 (on behalf of an estimated 70 people)

Jurisdictions of interest for respondentsb

 National

1

1

 NSW

0

1

 SA

1

0

 Queensland

5

1

 WA

3

1

 NT

6

1

 Victoria

4

2

Rurality of population group to which responses relateb

 Urban

7

6

 Regional

8

4

 Remote

13

4

Number of group responses to question about Indigenous status

 Majority (more than half)

 

2

 

2

 Minority (less than half)

2

2

Number of individual responses identified as Indigenous

 Indigenous

2

 

1

 

 Non Indigenous

13

2

Position typesb

 Nurse, doctor or specialist

6

4

0

4

 Middle or senior management, board member

3

3

0

6

 CQI facilitator

1

1

1

1

 Policy officer

0

0

0

1

 Aboriginal and/or Torres Strait Islander practitioner

0

2

0

4

 Research/Academic

1

1

0

0

 Other

4

1

2

1

Organisation typesb

 Community-controlled peak body/health centre

6

2

0

1

 Government health department/health centre

8

1

1

0

 Medicare Local or PHC Network

0

0

0

2

 University/Research organisation

0

1

1

0

 Other

1

1

1

1

aSome groups indicated large numbers – considerably more than 20 and in some instances more than 100. It was not clear how many individuals provided actual input. For the purpose of estimating the numbers who provided actual input we have used a figure of 20 individuals for groups that were reported to be larger than 20. The estimated number of people providing input may therefore be conservative

bNumbers may not tally with total number of respondents, as respondents were able to select multiple answers

Priority evidence-practice gaps in preventive care identified by stakeholders

Approximately 77 people (15 individuals and four group responses on behalf of 62 people) participated in phase 1. Characteristics of the health centres providing CQI data are presented in Table 2. Overall, 79% of health centres were in remote locations and 73% were government managed.
Table 2

Characteristics of participating health centres and patients whose records were audited between 2005 & 2014 (number & %)

  

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

Overall

Primary Health Care Centres

12

36

35

46

50

38

79

66

61

28

137

  

N

%

N

%

N

%

N

%

N

%

N

%

N

%

N

%

N

%

N

%

N

%

Location

Urban

0

0

4

11

0

0

4

9

1

2

1

3

4

5

5

7.58

1

2

5

18

11

8

Regional

5

42

10

28

6

17

9

20

5

10

2

5

5

6

5

7.58

5

8

3

11

18

13

Remote

7

58

22

61

29

83

33

72

44

88

35

92

70

89

56

84.85

55

90

20

71

108

79

Governance

Community-controlled

8

67

25

69

22

63

22

48

20

40

11

29

13

16

7

11

7

11

7

25

37

27

Government

4

33

11

31

13

37

24

52

30

60

27

71

66

84

59

89

54

89

21

75

100

73

Number of audited records

358

1029

1015

1420

1554

1416

3557

2893

2875

991

17,108

Age (mean & range)

32 (15–55)

32 (15–63)

32 (15–61)

34 (15–65)

35 (15–65)

35 (15–65)

33 (15–65)

33 (15–65)

33 (15–65)

31(15–65)

33 (15–65)

Sex

Male

176

49

504

49

503

50

713

50

786

51

720

51

1836

52

1473

51

1433

50

507

51

8651

51

Indigenous status

Yes

250

70

962

93

907

89

1286

91

1476

95

1183

84

3015

85

2447

85

2485

86.43

897

91

14,908

87

Attended within last 24 months

295

82

958

93

952

94

1293

91

1454

94

1312

93

3395

95

2786

96

2727

95

969

98

16,141

94

Reason for last attendance

Well Person’s Check

8

2

118

11.5

107

11

133

9

104

7

149

10

381

11

375

13

423

15

120

12

1918

11

Acute care

151

42

509

49.5

528

52

717

50.5

750

48

657

46

1780

50

1356

47

1418

49

462

47

8328

49

 

Other

186

52

339

33

370

36

559

39.5

688

44

531

38

1234

34

1055

36

886

31

387

39

6235

36

Not recorded

13

4

63

6

10

1

11

1

12

1

79

6

162

5

107

4

148

5

22

2

627

4

Profession patient first seen by

AHP

53

15

269

26

195

19

335

23.59

293

19

265

18.7

674

19

617

21

534

18.6

154

16

3389

20

Nurse

127

35

362

35

473

47

582

40.99

774

50

610

43.1

1899

53

1494

52

1458

50.7

579

58

8358

49

GP

71

20

227

22

245

24

329

23.17

272

18

292

20.6

573

16

514

18

584

20.3

188

19

3295

19

 

Other

15

4

39

4

40

4

79

5.56

76

4

71

5

132

4

75

2

121

4.2

48

5

696

4

 

Not recorded

92

26

132

13

62

6

95

6.69

139

9

178

12.6

279

8

193

7

178

6.2

22

2

1370

8

CQI continuous quality improvement, GP general practitioner, AHP Aboriginal health practitioner. ‘Other’ reason for last attendance includes appointments for mental illness, immunisation, antenatal and sexual health etc. ‘Other’ profession patient first seen by includes specialists and allied health professionals

The aggregated CQI data showed that some aspects of preventive care were being provided and documented at high levels by health centres. The aspects of care in which there was relatively better recording included up-to-date health summaries and immunisation records, measurement of weight, blood pressure, pulse rate and rhythm, delivery of brief interventions for clients identified as using alcohol at high risk levels, and recording of Medicare numbers. However, wide variation between health centres was evident in almost all aspects of preventive care.

Stakeholders identified seven evidence-practice gaps as priorities for improvement. These are presented in order of perceived priority:
  • Follow-up of clients with abnormal blood pressure, blood glucose levels and lipid profile (Fig. 1)

  • Completing absolute cardiovascular risk assessments (Fig. 2)

  • Recording of urinalysis (Fig. 3)

  • Recording of lipid profiles (Fig. 3)

  • Recording of enquiry about environmental & living conditions, family relationships and substance abuse (Fig. 4)

  • Providing appropriate support and follow-up for clients identified as being at risk with respect to emotional wellbeing (Fig. 5)

  • Strengthening ‘team structure and function’ and ‘continuity of care’ (Fig. 6)

Although delivery of care relating to the identified evidence-practice gaps in preventive care was low, there was evidence of improvement over time (Fig. 7).

Stakeholder feedback on the priority evidence-practice gaps highlighted the importance of continuing attention to holistic care, and of ensuring that focus on specific indicators does not detract from the importance of providing high quality care across the scope of best practice. A majority of respondents (76%) considered improvement across all health centres as a priority rather than prioritising action for health centres performing at relatively lower levels.

Key drivers and strategies for addressing identified gaps in preventive care

Approximately 73 stakeholders (three individuals and four group responses on behalf of approximately 70 people) identified barriers and enablers to addressing the identified evidence-practice gaps. The analysis of the barriers and enablers identified four key drivers for addressing priority evidence-practice gaps, each with suggested strategies (Fig. 8). The identified drivers are interdependent and some findings are relevant to more than one driver. We have therefore described the findings according to the predominant driver, as follows.
Fig. 8

Drivers of high quality preventive care and suggested strategies for addressing identified evidence-practice gaps

Strong Indigenous participation in the primary health care service

Most respondents identified a need to improve links between health services and communities, and enhance health literacy. The critical brokering role of AHPs in increasing access to, acceptability of and trust in the health service was acknowledged. Audit data indicated that only 20% of clients were recorded as seeing an AHP as the first point of contact when attending the health service (Table 2). Respondents commented on the important role of Indigenous staff in engaging clients in their own health, through preventive health assessments and follow-up consultations. This was linked to an identified need for more Indigenous staff at all levels of the PHC service, ideally members of the local community. High staff turnover was viewed as a barrier to developing and maintaining links between health services and communities. Respondents perceived that local orientation to the culture, language, and diversity of their service populations was generally lacking, as well as skills in applying this knowledge to reflect the principles of population health.

Appropriate primary health care team structure and function

Respondents noted the need for adequate staffing levels to allow the time required to deliver preventive health services. High demand for acute care was highlighted as a barrier, while dedicated preventive care resources, workflow strategies to enable delivery of preventive care and clear role definitions were viewed as enablers to improving the delivery of preventive care. Responses indicated that at times staff have trouble focusing their attention to provide best practice care in preventive health due to competing demands. This is borne out in audit data, which show that 48% of clients last attended their health service for acute care and only 11% for a preventive health assessment (Table 2). Despite competing demand on staff time and its negative impact on attending to preventive health care, health service staff were generally perceived as knowing the content and objectives of best practice preventive health care delivery.

Stakeholders identified the need for close collaboration between health promotion staff and clinicians within PHC teams and health promotion activities linked to local community needs. Further, it was felt there should be a greater focus on ensuring that all programs and service delivery are based on the needs and aspirations of Indigenous communities, and that care provision is respectful of and responsive to individual preferences, needs and values.

Indigenous PHC services are characterised by high staff turnover, particularly in remote locations. Within this environment, ongoing (rather than one-off) staff training, supported by regional systems to foster inter-organisational and intra-organisational learning, was considered an enabler to the delivery of preventive care. Survey respondents specifically identified the need for training in team work, patient-centred care and self-management support, cultural competence and cultural safety and understanding of the impact of social determinants on health. Integration of services (rather than merely co-location) for mental health and wellbeing care and physical health was suggested to further support preventive care.

Corporate support functions and structures

Financing and resources to support preventive care

Medicare-funded Indigenous-specific preventive health assessments [10] were acknowledged as a useful funding stream. Stakeholders specified a need for increased funding to deliver follow-up services relating to issues identified in health assessments, including system improvements to support follow-up. Further work was suggested to avoid competition for funding where this undermines relationships between organisations and individuals, and to build a culture of partnerships and collaboration between service providers. Stakeholders identified the need for flexible funding to enable services to be responsive to community needs and target prevention activities accordingly.

Effective strategies for recruitment and retention of staff

Workforce issues were frequently identified as impacting on the effectiveness of preventive care, including high staff turnover and skill mix. Development of regional support systems for recruiting and retaining staff, especially AHPs, was identified. Recruiting Indigenous staff (particularly local staff) and ensuring effective support, was seen as critical to ensuring the community-health service connections and the provision of a culturally appropriate service that is perceived to be accessible by the community. Improved role definition and clarity based on the identified strengths of the AHP workforce and access to adequate numbers and types of staff for follow-up services were identified as important enablers.

Meaningful use of data to support high quality care delivery and continuous quality improvement processes

Further investment is required in systems development and practitioner training in the effective use of clinical information systems and decision support tools, for example recall and reminder systems and cardiovascular risk assessment calculators. Improved documentation of care provided to clients and efficient upload of test results in the correct fields of information systems were deemed necessary to avoid duplication of efforts and support team-based care.

Most respondents agreed on the need for further management support to enable staff in health services to use CQI tools and resources, and to allocate sufficient time to CQI activities, including the implementation of improvement plans based on audits. Technical assistance at the practice-level (for example CQI facilitators) to extract data, assist with interpretation and facilitation of action plans, chart progress and review results was seen to enhance meaningful use of data to support care.

Discussion

Improving the delivery of preventive care for Indigenous Australians is crucial to closing the health gap between Indigenous and non-Indigenous Australians. Current delivery of preventive care for Indigenous Australians is suboptimal with wide variation in the delivery of recommended preventive care between health centres. This study engaged a wide range of stakeholders in using the most comprehensive data set of its kind currently available in Australia to identify priority evidence-practice gaps in preventive healthcare across 137 health centres that serve Indigenous Australians, and the key drivers to address these gaps.

The identified gaps in preventive care included: follow-up of abnormal results; completing cardiovascular risk assessments; timely recording of test results; recording enquiries about living conditions, family relationships and substance abuse; provision of support and follow-up for those at risk with respect to emotional wellbeing. System refinements that improve ‘team structure and function’ and ‘continuity of care’ were also identified priorities. This collaboratively created knowledge has been used to develop a framework of drivers for improving the delivery of care. They include strong Indigenous participation in the PHC service, appropriate team structure and function to support preventive care, meaningful use of data to support high quality care delivery and CQI, and effective corporate support functions and structures.

Follow-up of patients after a health assessment has been reported as low in Australia and elsewhere [8, 9]. Our study identified follow-up of abnormal results as the most pressing priority for improvement, reflecting similar findings of other studies [8, 31]. Participants in our study identified drivers of quality preventive care at different health service levels. As seen elsewhere in the world, identifying the most important drivers for change is difficult [19]. Drivers for achieving the health benefits of screening and assessments at health centre level included accurate documenting of care in patient records as a way of enabling timely care provision, a team-based approach, and avoiding over-servicing (e.g. unnecessary repeating of laboratory investigations). A number of the priorities and drivers identified are beyond the influence or control of individual health centres and services, and require stronger engagement from higher level management and policy makers. For example, improving the quality of social and emotional well-being care requires a model of integrated care that addresses social determinants through inter-sectoral and regional collaborations in service delivery and human resource management.

Identified drivers for improved preventive care are consistent with national [5, 8, 16, 3235] and international literature on barriers and enablers to care [36, 37]. Our deliberate strategy of seeking data interpretation and input from those with tacit and professional knowledge of delivering preventive care to Indigenous clients and communities helped to ensure that the strategies suggested are consistent with the important principle of providing culturally safe, patient-centred care [34]. Culturally unsafe PHC environments are recognised as a barrier to care access for Indigenous Australians and for Indigenous populations in other countries around the world [4, 5].

Key emerging challenges will be implementing a multi-sectoral and systems-wide approach that goes beyond health to involve other service agencies [38, 39] and refocusing the attention of funders towards preventive health [40]. Taking high level action to meet these challenges in the Indigenous PHC sector would no doubt have benefits for the wider Australian population, in which little or no progress is being made in preventing and controlling risk factors for chronic disease (with the exception of tobacco control) [40].

Strengths and limitations

A particular strength of our study was the measurement of a broad range of service delivery indicators for preventive health care delivery based on best practice clinical guidelines, and the engagement of diverse healthcare stakeholders to interpret the aggregated CQI data. Strengths of the analysis include the iterative process of stakeholder engagement to develop a framework of drivers and strategies to improve preventive care. Individuals and groups could choose to participate in any or all ESP project phases. The ESP project has relied, in part, on stakeholders sending reports to others. Thus, a limitation of the study is that it has not been possible to accurately measure the reach of report dissemination and survey response rates. Limitations include voluntary enrolment in the ABCD CQI program, with uncertainty in the generalisability of the findings. Audit data are based on recorded delivery of services, which generally underestimate actual service delivery. The findings represent feedback from a diverse range of stakeholders working in Indigenous PHC service delivery, policy and research. However, they primarily represent the views of the Northern Territory and Queensland jurisdictions and remote and rural contexts.

Conclusion

The framework presented offers opportunities for regional-level support organisations and policy makers to develop barrier-driven, tailored interventions to improve the delivery of preventive care for Indigenous Australians. Such system-level action should be developed with a deep understanding of the holistic nature of Indigenous Australians wellbeing beyond just physical health (including healthy connections to culture, community and country), of the impact of Australian colonial history on Indigenous Australians, and of how social systems – including the health system - should be shaped to meet the needs of Indigenous Australians.

The framework should assist those developing PHC policy, interventions and training to develop tailored interventions to improve health outcomes, and guide 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.

Footnotes
1

Medicare is Australia’s universal health insurance scheme. Medicare provides access to a range of medical services, lower cost prescriptions and free care as a public patient in a public hospital.

 

Abbreviations

ABCD: 

Audit and best practice for chronic disease

AHP: 

Aboriginal health practitioner

CQI: 

Continuous quality improvement

ESP: 

Engaging stakeholders in identifying priority evidence-practice gaps and strategies for improvement in primary health care

PHC: 

Primary health care

SAT: 

Systems assessment tool

Declarations

Acknowledgements

The development of this manuscript would not have been possible without the active support, enthusiasm and commitment of staff in participating primary health care services, and members of the ABCD National Research Partnership and the Centre for Research Excellence in Integrated Quality Improvement. We also thank Perri Hull for report preparation and dissemination.

Funding

The National Health and Medical Research Council funded the ABCD National Research Partnership Project (#545267) and the Centre for Research Excellence in Integrated Quality Improvement (1078927). In-kind and financial support was provided by the Lowitja Institute and a range of Community-Controlled and Government agencies.

Availability of data and materials

The dataset analysed during the current study is not publicly available due to health centre confidentiality, but is available from the corresponding author on reasonable request and if consistent with the project’s ethics approvals.

Authors’ contributions

JB conceived the manuscript, performed the initial synthesis of stakeholder feedback and drafted the manuscript. All authors contributed to analysis, interpretation and synthesis of the data to develop the framework for improvement. VM led the quantitative analysis of the clinical audit data. AL provided major contributions in the editing of the manuscript. RB is the Project leader for the Centre for Research Excellence in Integrated Quality Improvement. All authors read and approved the final version of the manuscript.

Competing interests

The authors have no competing interests in the preparation of this manuscript.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethics approval was obtained from research ethics committees in each jurisdiction (Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research (HREC-EC00153); Central Australian Human Research Ethics Committee (HREC-12-53); New South Wales Greater Western Area Health Service Human Research Committee (HREC/11/GWAHS/23); Queensland Human Research Ethics Committee Darling Downs Health Services District (HREC/11/QTDD/47); South Australian Aboriginal Health Research Ethics Committee (04–10-319); Curtin University Human Research Ethics Committee (HR140/2008); Western Australian Country Health Services Research Ethics Committee (2011/27); Western Australia Aboriginal Health Information and Ethics Committee (111–8/05); University of Western Australia Human Research Ethics Committee (RA/4/1/5051)). All participants in the ESP Project surveys provided individual informed consent.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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

Authors’ Affiliations

(1)
The University of Sydney, University Centre for Rural Health - North Coast
(2)
Charles Darwin University, Menzies School of Health Research
(3)
Flinders University, Centre for Remote Health
(4)
Department of Health, Northern Territory Government
(5)
The University of New South Wales, George Institute for Global Health
(6)
James Cook University, College of Medicine and Dentistry

References

  1. Vos T, Barker B, Begg S, Stanley L, Lopez A. Burden of disease and injury in Aboriginal and Torres Strait Islander Peoples: the Indigenous health gap. Int J Epidemiol. 2009;38(2):470–7.View ArticlePubMedGoogle Scholar
  2. Australian Institute of Health and Welfare. The health and welfare of Australia's Aboriginal and Torres Strait Islander peoples 2015. Cat. no. IHW 147 ed. Canberra: AIHW; 2015. http://www.aihw.gov.au/publication-detail/?id=60129550168. Accessed 23 June 2017.
  3. Australian Institute of Health and Welfare. Access to Health and Services for Aboriginal and Torres Strait Islander people. Canberra: AIHW; 2011. http://www.aihw.gov.au/publication-detail/?id=10737418966. Accessed 23 June 2017.
  4. Dwyer J, O'Donnell K, Willis E, Kelly J. Equitable care for indigenous people: Every health service can do it. Asia Pac J Health Manag. 2016;11(3):11.Google Scholar
  5. Bailie J, Schierhout G, Laycock A, Kelaher M, Percival N, O'Donoghue L, et al. Determinants of access to chronic illness care: a mixed-methods evaluation of a national multifaceted chronic disease package for Indigenous Australians. BMJ Open. 2015 Nov 1;5(11):e008103.View ArticlePubMedPubMed CentralGoogle Scholar
  6. NACCHO. National guide to a preventive health assessment for Aboriginal and Torres Strait Islander people. 2nd ed. South Melbourne: The RACGP; 2012. http://www.naccho.org.au/wp-content/uploads/1.National-guide-to-a-preventive-health-assessment-for-Aboriginal-and-Torres-Strait-Islander-people-2.pdf. Accessed 23 June 2017.
  7. Gracey M, King M. Indigenous health part 1: determinants and disease patterns. Lancet. 2009 Jul 10;374(9683):65–75.View ArticlePubMedGoogle Scholar
  8. Bailie J, Schierhout G, Kelaher M, Laycock A, Percival N, O’Donoghue L, et al. Follow-up of Indigenous-specific health assessments–a socioecological analysis. Med J Aust. 2014;200(11):653–7.View ArticlePubMedGoogle Scholar
  9. Bailie R, Griffin J, Kelaher M, McNeair T, Percival N, Laycock A, et al. Sentinel sites evaluation: final report. Canberra: Report prepared by Menzies School of Health Research for the Australian Government Department of Health and Ageing; 2013. http://www.health.gov.au/internet/main/publishing.nsf/Content/F91E3427B3480DBCCA257E1A0079EDBB/$File/sentinel-sites-evaluation_final-report_feb2013.pdf. Accessed 23 June 2017.
  10. Department of Health. Fact Sheet: Medicare health assessment for Aboriginal and Torres Strait Islander people (MBS Item 715), Australian Government. 2015. http://www.health.gov.au/internet/main/publishing.nsf/Content/F55BEF7B8F46193DCA257BF0001F95FF/$File/715%20-%20Medicare%20Hlth%20Assmnt%20Aboriginal%20Torres%20Strait%20Islander%20People.pdf. Accessed 23 June 2017.
  11. Krogsbøll LT, Jørgensen KJ, Gøtzsche PC. General health checks in adults for reducing morbidity and mortality from disease. JAMA. 2013 Jun 19;309(23):2489–90.View ArticlePubMedGoogle Scholar
  12. Si S, Moss JR, Sullivan TR, Newton SS, Stocks NP. Effectiveness of general practice-based health checks: a systematic review and meta-analysis. Br J Gen Pract. 2014 Jan 1;64(618):e47–53.View ArticlePubMedGoogle Scholar
  13. Russell L. Indigenous Health Checks: A Failed Policy in Need of Scrutiny. Menzies Centre for Health Policy; 2010. https://ses.library.usyd.edu.au/bitstream/2123/11447/1/atsihealthchecks2.pdf. Accessed 23 June 2017.
  14. Bailie RS, Si D, Connors CM, Kwedza R, O'Donoghue L, Kennedy C, et al. Variation in quality of preventive care for well adults in Indigenous community health centres in Australia. BMC Health Serv Res. 2011 Jun 1;11(1):139.View ArticlePubMedPubMed CentralGoogle Scholar
  15. Crinall B, Boyle J, Gibson-Helm M, Esler D, Larkins S, Bailie R. Cardiovascular disease risk in young Indigenous Australians: a snapshot of current preventive health care. Aust N Z J Public Health. 2016 Jun;1Google Scholar
  16. Bailie C, Matthews V, Bailie J, Burgess P, Copley K, Kennedy C, et al. Determinants and gaps in preventive care delivery for Indigenous Australians: a cross-sectional analysis. Front Public Health. 2016;4Google Scholar
  17. Ferlie E, Shortell S. Improving the quality of health care in the United Kingdom and the United States: a framework for change. Milbank Q. 2001;79(2):281–315.View ArticlePubMedPubMed CentralGoogle Scholar
  18. 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;4Google Scholar
  19. Baker R, Camosso-Stefinovic J, Gillies C, Shaw EJ, Cheater F, Flottorp S, Robertson N. Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes. Cochrane Libr 2010 Mar.Google Scholar
  20. Gagilardi A, Alhabib S. Trends in guideline implementation: a scoping systematic review. Implement Sci. 2015 Apr 21;10(1):54.View ArticleGoogle Scholar
  21. Tavender EJ, Bosch M, Gruen RL, Green SE, Michie S, Brennan SE, et al. Developing a targeted, theory-informed implementation intervention using two theoretical frameworks to address health professional and organisational factors: a case study to improve the management of mild traumatic brain injury in the emergency department. Implement Sci. 2015 May 25;10(1):74.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Janamian T, Crossland L, Jackson C. Embracing value co-creation in primary care services research: a framework for success. Med J Aust. 2016;204.7(Suppl):S5–S11.View ArticleGoogle Scholar
  23. Jackson C, Janamian T, Booth M, Watson D. Creating health care value together: a means to an important end. Med J Aust. 2016;204(7 Suppl):S3-S.View ArticleGoogle Scholar
  24. Gibson O, Segal L. Limited evidence to assess the impact of PHC system or service level attributes on health outcomes of Indigenous people with type 2 diabetes: a systematic review. BMC Health Serv Res. 2015;15:154.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Bailie R, Si D, Shannon C, Semmens J, Rowley K, Scrimgeour D, et al. Study protocol: national research partnership to improve primary health care performance and outcomes for Indigenous peoples. BMC Health Serv Res. 2010;10(1):129.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Bailie J, Matthews V, Laycock A, Schultz R, Bailie R. Preventive Health Care for Aboriginal and Torres Strait Islander People: Final Report. ESP Project: Priority Evidence-Practice Gaps and Stakeholder Views on Barriers and Strategies for Improvement. Menzies School of Health Research. June 2016. http://www.menzies.edu.au/icms_docs/243475_Preventive_health_Final_report.pdf. Accessed 23 June 2017.
  27. Menzies School of Health Research n.d., Preventive Services Clinical Audit Tool. 2017. http://www.menzies.edu.au/page/Resources/Preventive_Services_clinical_audit/. Accessed 23 June 2017.
  28. Cunningham F, Ferguson-Hill S, Matthews V, Bailie R. Leveraging quality improvement through use of the Systems Assessment Tool in Indigenous primary health care services: a mixed methods study. BMC Health Serv Res. 2016;16(1):583.View ArticlePubMedPubMed CentralGoogle Scholar
  29. 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):12. doi:10.3389/fpubh.2016.00086.
  30. Reed J, McNicholas C, Woodcock T, Issen L, Bell D. Designing quality improvement initiatives: the action effect method, a structured approach to identifying and articulating programme theory. BMJ Qual Saf. 2014;23(12):1040–8.View ArticlePubMedGoogle Scholar
  31. Whop L, Baade P, Brotherton J, Canfell K, Cunningham J, Gertig D, et al. Time to clinical investigation for Indigenous and non-Indigenous Queensland women after a high grade abnormal Pap smear, 2000–2009. Med J Aust. 2017;206(2):73–7.View ArticlePubMedGoogle Scholar
  32. Peiris D, Patel A, Cass A, Howard M, Tchan M, Brady P, et al. Cardiovascular disease risk management for Aboriginal and Torres Strait Islander peoples in primary health care settings: findings from the Kanyini Audit. Med J Aust 2009; Sep21;191(6):304-309.Google Scholar
  33. Tilton E and Thomas D. Core functions of primary health care: a framework for the Northern Territory. Prepared for the Northern Territory Aboriginal health Forum, October 2011. http://www.lowitja.org.au/sites/default/files/docs/Core_PHC_Functions_Framework_Oct_2011%5B1%5D.pdf. Accessed 23 June 2017.
  34. Gibson O, Lisy K, Davy C, Aromataris E, Kite E, Lockwood C, et al. Enablers and barriers to the implementation of primary health care interventions for Indigenous people with chronic diseases: a systematic review. Implement Sci. 2015 May 22;10(1):71.View ArticlePubMedPubMed CentralGoogle Scholar
  35. Woods C, Carlisle K, Larkins S, Thompson SC, Tsey K, Matthews V, et al. Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services. Front Public Health. 2017;5Google Scholar
  36. McElwaine K, Freund M, Campbell E, Bartlem K, Wye P, Wiggers J. Systematic review of interventions to increase the delivery of preventive care by primary care nurses and allied health clinicians. Implement Sci. 2016;Apr 6;11(1):1.Google Scholar
  37. Collins B. Intentional whole health system redesign. Southcentral Foundation’s ‘Nuka’system of care. London: The King’s Fund; 2015. https://www.kingsfund.org.uk/sites/files/kf/field/field_publication_file/intentional-whole-health-system-redesign-Kings-Fund-November-2015.pdf. Accessed 23 June 2017.
  38. Van Olmen J, Criel B, Van Damme W, Marchal B, Van Belle S, Van Dormael M, et al. Analysing health systems to make them stronger. Stud Health Serv Organ Policy. 2010;27:2–98.Google Scholar
  39. Russell E, Johnson B, Larsen H, Novilla ML, Olmen JV, Swanson RC. Health systems in context: a systematic review of the integration of the social determinants of health within health systems frameworks. Rev Panam Salud Publica. 2013 Dec;34(6):461–7.PubMedGoogle Scholar
  40. Moodie A, Tolhurst P, Martin J. Australia’s health: being accountable for prevention. Med J Aust. 2016;Apr 4;204(6):223–5.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2017

Advertisement