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

Developing economic measures for Aboriginal and Torres Strait Islander families on out-of-pocket healthcare expenditure

Courtney Ryder https://orcid.org/0000-0001-6511-1965 A B G , Tamara Mackean https://orcid.org/0000-0001-7315-5095 A B , Julieann Coombes https://orcid.org/0000-0001-7212-8693 A C , Kate Hunter https://orcid.org/0000-0002-2757-1474 A , Shahid Ullad https://orcid.org/0000-0002-3899-8270 B , Kris Rogers https://orcid.org/0000-0001-5497-4298 A C , Beverley Essue https://orcid.org/0000-0002-1512-4634 A D , Andrew J. A. Holland https://orcid.org/0000-0003-3745-8704 E and Rebecca Ivers https://orcid.org/0000-0003-3448-662X A B F
+ Author Affiliations
- Author Affiliations

A The George Institute for Global Health Australia, UNSW, PO Box M201, Missenden Road, NSW 2050, Australia. Email: jcoombes@georgeinstitute.org.au; khunter@georgeinstitute.org.au; krogers@georgeinsitute.org.au; bessue@georgeinstitute.org.au

B Discipline of Public Health, College of Medicine Public Health, Flinders University, GPO Box 2100, SA 5001, Australia. Email: tamara.mackean@flinders.edu.au; shahid.ullah@flinders.edu.au

C The University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.

D Canadian Partnership Against Cancer Corporation, 145 King Street West, Toronto, ON M4H IJ8, Canada.

E The University of Sydney School of Medicine, The Children’s Hospital at Westmead Clinical School, Faculty of Medicine and Health, Westmead, NSW 2145, Australia. Email: andrew.holland@health.nsw.gov.au

F School of Public Health and Community Medicine, UNSW, Sydney, NSW 2052, Australia. Email: rebecca.ivers@unsw.edu.au

G Corresponding author. Email: courtney.ryder@flinders.edu.au

Australian Health Review 45(3) 265-273 https://doi.org/10.1071/AH20299
Submitted: 19 October 2020  Accepted: 8 February 2021   Published: 18 May 2021

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

Abstract

Objective Out-of-pocket healthcare expenditure (OOPHE) has a significant impact on marginalised households. The purpose of this study was to modify a pre-existing OOPHE survey for Aboriginal and Torres Strait Islander households with children.

Methods The OOPHE survey was derived through a scoping review, face and content validity, including judgement quantification with content experts. Exploratory factor analyses determined factor numbers for construct validity. Repeatability through test–retest processes and reliability was assessed through internal consistency.

Results The OOPHE survey had 168 items and was piloted on 67 Aboriginal and Torres Strait Islander parents. Construct validity assessment generated a 62-item correlation matrix with a three-factor model. Across these factors, item loadings varied, 10 items with high correlations (>0.70) and 20 with low correlations (<0.40). OOPHE survey retest was conducted with 47 families, where 43 items reached slight to fair levels of agreement.

Conclusion The low level of item loadings to factors in the OOPHE survey indicates interconnectedness across the three-factor model, and reliability results suggest systemic differences. Impeding factors may include cohort homogeneity and survey length. It is unknown how cultural and social nuances specific to Aboriginal and Torres Strait Islander households impacts on results. Further work is warranted.

What is known about the topic? Out-of-pocket healthcare expenditure (OOPHE) are expenses not covered by universal taxpayer-funded health insurance. In elderly Australians or those with chronic conditions, OOPHE can cause substantial burden and financial hardship and, in the most extreme cases, induce bankruptcy. Despite higher hospital admissions and disease burden, little is known about how OOPHE impacts Aboriginal and Torres Strait Islander families. Additionally, in Australia, no OOPHE survey tools have been appropriately assessed; this includes for use with Aboriginal and Torres Strait Islander families.

What does this paper add? This pilot study modified a pre-existing Australian OOPHE survey for use with Aboriginal and Torres Strait Islander households with children. Knowledge interface methodology was used to bring together Indigenous knowledges with quantitative survey methods. This was critical to ensuring Indigenous knowledges were central to the overall pilot study across item creation, participant focus, outcome contextualisation, interpretation, and resetting dominant norms. Outcomes have demonstrated pertinent points for future work in this area, such as the complexities in developing robust, culturally safe and specific surveys, which reach ideal psychometric levels of validity and reliability for Aboriginal and Torres Strait Islander communities. Certainly, it raises questions for current and future research using surveys in Aboriginal and Torres Strait Islander communities, which are generic and not purpose-built.

What are the implications for practitioners? We recommend that OOPHE surveys should be developed with Aboriginal and Torres Strait Islander families from the outset, so they can include important contextual factors for Aboriginal and Torres Strait Islander households.

Keywords: Aboriginal and Torres Strait Islander health, assessment, families, First Nations health, out-of-pocket healthcare expenditure, reliability, survey, validity.


References

[1]  Couzos S, Murray RM. Aboriginal Primary Health Care. 3rd edn. Melbourne, Victoria: Oxford University Press; 2008.

[2]  Jan S, Essue BM, Leeder SR. Falling through the cracks: the hidden economic burden of chronic illness and disability on Australian households. Med J Aust 2012; 196 29–31.
Falling through the cracks: the hidden economic burden of chronic illness and disability on Australian households.Crossref | GoogleScholarGoogle Scholar | 22256924PubMed |

[3]  Essue B, Kelly P, Roberts M, Leeder S, Jan S. We can’t afford my chronic illness! The out-of-pocket burden associated with managing chronic obstructive pulmonary disease in western Sydney, Australia. J Health Serv Res Policy 2011; 16 226–31.
We can’t afford my chronic illness! The out-of-pocket burden associated with managing chronic obstructive pulmonary disease in western Sydney, Australia.Crossref | GoogleScholarGoogle Scholar | 21954233PubMed |

[4]  Essue BM, Beaton A, Hull C, Belfrage J, Thompson S, Meachen M, et al Living with economic hardship at the end of life. BMJ Support Palliat Care 2015; 5 129–37.
Living with economic hardship at the end of life.Crossref | GoogleScholarGoogle Scholar | 24644185PubMed |

[5]  Essue BM, Wong G, Chapman J, Li Q, Jan S. How are patients managing with the costs of care for chronic kidney disease in Australia? A cross-sectional study. BMC Nephrol 2013; 14 5
How are patients managing with the costs of care for chronic kidney disease in Australia? A cross-sectional study.Crossref | GoogleScholarGoogle Scholar | 23305212PubMed |

[6]  Gatt L, Jan S, Mondraty N, Horsfield S, Hart S, Russell J, et al The household economic burden of eating disorders and adherence to treatment in Australia. BMC Psychiatry 2014; 14 338
The household economic burden of eating disorders and adherence to treatment in Australia.Crossref | GoogleScholarGoogle Scholar | 25432265PubMed |

[7]  McRae I, Yen L, Jeon YH, Herath PM, Essue B. Multimorbidity is associated with higher out-of-pocket spending: A study of older Australians with multiple chronic conditions. Aust J Prim Health 2013; 19 144–9.
Multimorbidity is associated with higher out-of-pocket spending: A study of older Australians with multiple chronic conditions.Crossref | GoogleScholarGoogle Scholar | 22950881PubMed |

[8]  O’Neill KM, Mandigo M, Pyda J, Nazaire Y, Greenberg SL, Gillies R, et al Out-of-pocket expenses incurred by patients obtaining free breast cancer care in Haiti: A pilot study. Surgery 2015; 158 747–55.
Out-of-pocket expenses incurred by patients obtaining free breast cancer care in Haiti: A pilot study.Crossref | GoogleScholarGoogle Scholar | 26150200PubMed |

[9]  Carpenter A, Islam MM, Yen L, McRae I. Affordability of out-of-pocket health care expenses among older Australians. Health Policy 2015; 119 907–14.
Affordability of out-of-pocket health care expenses among older Australians.Crossref | GoogleScholarGoogle Scholar | 25896218PubMed |

[10]  Schoen C, Osborn R, Squires D, Doty M, Pierson R, Applebaum S. How Health Insurance Design Affects Access To Care And Costs, By Income, In Eleven Countries. Health Aff 2010; 29 2323–34.
How Health Insurance Design Affects Access To Care And Costs, By Income, In Eleven Countries.Crossref | GoogleScholarGoogle Scholar |

[11]  O’Donnell O, van Doorslaer E, Wagstaff A, Lindelow M. Catastrophic payments for health care (Chapter 18). In: O’Donnell O, van Doorslaer E, Wagstaff, A (eds). Analyzing health equity using household survey data: A guide to techniques and their implementation Washington, DC: The World Bank; 2008. p. 203–212

[12]  Hynd A, Roughead EE, Preen DB, Glover J, Bulsara M, Semmens J. The impact of co‐payment increases on dispensings of government‐subsidised medicines in Australia. Pharmacoepidemiol Drug Saf 2008; 17 1091–9.
The impact of co‐payment increases on dispensings of government‐subsidised medicines in Australia.Crossref | GoogleScholarGoogle Scholar | 18942671PubMed |

[13]  Couzos S. PBS medications: Improving access for Aboriginal and Torres Strait Islander peoples. Aust Fam Physician 2005; 34 841–4.
| 16217569PubMed |

[14]  Jeon Y-H, Essue B, Jan S, Wells R, Whitworth JA. Economic hardship associated with managing chronic illness: a qualitative inquiry. BMC Health Serv Res 2009; 9 182
Economic hardship associated with managing chronic illness: a qualitative inquiry.Crossref | GoogleScholarGoogle Scholar | 19818128PubMed |

[15]  Australian Institute of Health and Welfare. The health and welfare of Australia’s Aboriginal and Torres Strait Islander peoples 2015. Report No.: IHW 147. Canberra: AIHW; 2015.

[16]  Ivers RQ, Hunter K, Clapham K, Coombes J, Fraser S, Lo S, et al Understanding burn injuries in Aboriginal and Torres Strait Islander children: protocol for a prospective cohort study. BMJ Open 2015; 5 e009826
Understanding burn injuries in Aboriginal and Torres Strait Islander children: protocol for a prospective cohort study.Crossref | GoogleScholarGoogle Scholar | 26463225PubMed |

[17]  Kite E, Davy C. Using Indigenist and Indigenous methodologies to connect to deeper understandings of Aboriginal and Torres Strait Islander peoples’ quality of life. Health Promot J Austr 2015; 26 191–4.
Using Indigenist and Indigenous methodologies to connect to deeper understandings of Aboriginal and Torres Strait Islander peoples’ quality of life.Crossref | GoogleScholarGoogle Scholar | 26686300PubMed |

[18]  Le Grande M, Ski C, Thompson D, Scuffham P, Kularatna S, Jackson A, et al Social and emotional wellbeing assessment instruments for use with Indigenous Australians: A critical review. Soc Sci Med 2017; 187 164–73.
Social and emotional wellbeing assessment instruments for use with Indigenous Australians: A critical review.Crossref | GoogleScholarGoogle Scholar | 28689090PubMed |

[19]  Durie M, editor. Exploring the interface between science and Indigenous knowledge. 5th APEC Research and Development Leaders Forum. Christchurch, New Zealand: Massey University; 2004.

[20]  Durie M. Understanding health and illness: research at the interface between science and Indigenous knowledge. Int J Epidemiol 2004; 33 1138–43.
Understanding health and illness: research at the interface between science and Indigenous knowledge.Crossref | GoogleScholarGoogle Scholar | 15218015PubMed |

[21]  Sherwood J. Colonisation–It’s bad for your health: The context of Aboriginal health. Contemp Nurse 2013; 46 28–40.
Colonisation–It’s bad for your health: The context of Aboriginal health.Crossref | GoogleScholarGoogle Scholar | 24716759PubMed |

[22]  Kukutai T, Taylor J. Indigenous Data Sovereignty: Toward an Agenda. ACT: ANU Press; 2016. pp. 79–98.

[23]  Bessarab D, Ng’andu B. Yarning about yarning as a legitimate method in Indigenous research. Int J Crit Indigenous Stud 2010; 3 37–50.
Yarning about yarning as a legitimate method in Indigenous research.Crossref | GoogleScholarGoogle Scholar |

[24]  Munn Z, Peters MDJ, Stern C, Tufanaru C, McArthur A, Aromataris E. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol 2018; 18 143
Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach.Crossref | GoogleScholarGoogle Scholar | 30453902PubMed |

[25]  Paul C, Bonevski B, Twyman L, D’Este C, Siahpush M, Guillaumier A, et al The ‘price signal’ for health care is loud and clear: A cross-sectional study of self-reported access to health care by disadvantaged Australians. Aust N Z J Public Health 2016; 40 132–7.
The ‘price signal’ for health care is loud and clear: A cross-sectional study of self-reported access to health care by disadvantaged Australians.Crossref | GoogleScholarGoogle Scholar | 26121933PubMed |

[26]  Gordon L, Scuffham P, Hayes S, Newman B. Exploring the economic impact of breast cancers during the 18 months following diagnosis. Psychooncology 2007; 16 1130–9.
Exploring the economic impact of breast cancers during the 18 months following diagnosis.Crossref | GoogleScholarGoogle Scholar | 17345557PubMed |

[27]  Kirby ER, Broom AF, Sibbritt DW, Refshauge KM, Adams J. Health care utilisation and out-of-pocket expenditure associated with back pain: a nationally representative survey of Australian women. PLoS One 2013; 8 e83559
Health care utilisation and out-of-pocket expenditure associated with back pain: a nationally representative survey of Australian women.Crossref | GoogleScholarGoogle Scholar | 24376716PubMed |

[28]  Islam MM, Yen L, Valderas JM, McRae IS. Out-of-pocket expenditure by Australian seniors with chronic disease: The effect of specific diseases and morbidity clusters. BMC Public Health 2014; 14 1008
Out-of-pocket expenditure by Australian seniors with chronic disease: The effect of specific diseases and morbidity clusters.Crossref | GoogleScholarGoogle Scholar | 25260348PubMed |

[29]  Ryder C, Mackean T, Ullah S, Burton H, Halls H, McDermott D, et al Development and Validation of a Questionnaire to Measure Attitude Change in Health Professionals after Completion of an Aboriginal Health and Cultural Safety Training Programme. Aust J Indig Educ 2019; 48 24–38.
Development and Validation of a Questionnaire to Measure Attitude Change in Health Professionals after Completion of an Aboriginal Health and Cultural Safety Training Programme.Crossref | GoogleScholarGoogle Scholar |

[30]  Lynn MR. Determination and quantification of content validity. Nurs Res 1986; 35 382–6.
Determination and quantification of content validity.Crossref | GoogleScholarGoogle Scholar | 3640358PubMed |

[31]  Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health 2007; 30 459–67.
Is the CVI an acceptable indicator of content validity? Appraisal and recommendations.Crossref | GoogleScholarGoogle Scholar | 17654487PubMed |

[32]  Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 15 155–63.
A guideline of selecting and reporting intraclass correlation coefficients for reliability research.Crossref | GoogleScholarGoogle Scholar | 27330520PubMed |

[33]  Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979; 86 420
Intraclass correlations: uses in assessing rater reliability.Crossref | GoogleScholarGoogle Scholar | 18839484PubMed |

[34]  McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods 1996; 1 30
Forming inferences about some intraclass correlation coefficients.Crossref | GoogleScholarGoogle Scholar |

[35]  Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, et al A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol 2010; 10 1
A tutorial on pilot studies: the what, why and how.Crossref | GoogleScholarGoogle Scholar | 20053272PubMed |

[36]  Hertzog MA. Considerations in determining sample size for pilot studies. Res Nurs Health 2008; 31 180–91.
Considerations in determining sample size for pilot studies.Crossref | GoogleScholarGoogle Scholar | 18183564PubMed |

[37]  Connelly LM. Pilot studies. Medsurg Nurs 2008; 17 411
| 19248407PubMed |

[38]  Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract 2004; 10 307–12.
Design and analysis of pilot studies: recommendations for good practice.Crossref | GoogleScholarGoogle Scholar | 15189396PubMed |

[39]  Fabrigar LR, Wegener DT. Exploratory factor analysis. New York: Oxford University Press; 2011.

[40]  Yong AG, Pearce S. A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutor Quant Methods Psychol 2013; 9 79–94.
A beginner’s guide to factor analysis: Focusing on exploratory factor analysis.Crossref | GoogleScholarGoogle Scholar |

[41]  Williams B, Onsman A, Brown T. Exploratory factor analysis: A five-step guide for novices. AustJ Paramed 2010; 8 1–14.
Exploratory factor analysis: A five-step guide for novices.Crossref | GoogleScholarGoogle Scholar |

[42]  Watkins MW. Exploratory Factor Analysis: A Guide to Best Practice. J Black Psychol 2018; 44 219–46.
Exploratory Factor Analysis: A Guide to Best Practice.Crossref | GoogleScholarGoogle Scholar |

[43]  Osborne JW, Costello AB. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pan-Pac Manage Rev 2009; 12 131–46.

[44]  Baldwin SA. Psychological Statistics and Psychometrics Using Stata. Texas: Stata Press; 2019.

[45]  Tavakol M, Dennick R. Making sense of Cronbach’s alpha. Int J Med Educ 2011; 2 53–5.
Making sense of Cronbach’s alpha.Crossref | GoogleScholarGoogle Scholar | 28029643PubMed |

[46]  Taber KS. The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res Sci Educ 2018; 48 1273–96.
The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education.Crossref | GoogleScholarGoogle Scholar |

[47]  Matsunaga M. How to Factor-Analyze Your Data Right: Do’s, Don’ts, and How-To’s. Int J Psychol Res (Medellin) 2010; 3 97–110.
How to Factor-Analyze Your Data Right: Do’s, Don’ts, and How-To’s.Crossref | GoogleScholarGoogle Scholar |

[48]  Polit DF. Getting serious about test–retest reliability: a critique of retest research and some recommendations. Qual Life Res 2014; 23 1713–20.
Getting serious about test–retest reliability: a critique of retest research and some recommendations.Crossref | GoogleScholarGoogle Scholar | 24504622PubMed |

[49]  Marsden PV, Wright JD. Handbook of Survey Research. Second edition. Bingley UK: Emerald Publishing Limited; 2010.

[50]  Cook DA, Beckman TJ. Current Concepts in Validity and Reliability for Psychometric Instruments: Theory and Application. Am J Med 2006; 119 166.e7–e16.
Current Concepts in Validity and Reliability for Psychometric Instruments: Theory and Application.Crossref | GoogleScholarGoogle Scholar |

[51]  van Baar ME, Essink-Bot ML, Oen I, Dokter J, Boxma H, Hinson MI, et al Reliability and validity of the Dutch version of the American Burn Association/Shriners Hospital for Children Burn Outcomes Questionnaire (5–18 years of age). J Burn Care Res 2006; 27 790–802.
Reliability and validity of the Dutch version of the American Burn Association/Shriners Hospital for Children Burn Outcomes Questionnaire (5–18 years of age).Crossref | GoogleScholarGoogle Scholar | 17091073PubMed |

[52]  Frost MH, Reeve BB, Liepa AM, Stauffer JW, Hays RD. What Is Sufficient Evidence for the Reliability and Validity of Patient-Reported Outcome Measures? Value Health 2007; 10 S94–105.
What Is Sufficient Evidence for the Reliability and Validity of Patient-Reported Outcome Measures?Crossref | GoogleScholarGoogle Scholar | 17995479PubMed |

[53]  Bravo G, Potvin L. Estimating the reliability of continuous measures with Cronbach’s alpha or the intraclass correlation coefficient: toward the integration of two traditions. J Clin Epidemiol 1991; 44 381–90.
Estimating the reliability of continuous measures with Cronbach’s alpha or the intraclass correlation coefficient: toward the integration of two traditions.Crossref | GoogleScholarGoogle Scholar | 2010781PubMed |

[54]  Landis JR, Koch GG. The Measurement of Observer Agreement for Categorical Data. Biometrics 1977; 33 159–74.
The Measurement of Observer Agreement for Categorical Data.Crossref | GoogleScholarGoogle Scholar | 843571PubMed |

[55]  Gliem JA, Gliem RR, editors. Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales 2003: Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education. Columbus: Ohio State University; 2003.

[56]  Taherdoost H, Sahibuddin S, Jalaliyoon N. Exploratory factor analysis; concepts and theory. In Balicki J, editor. Advances in Applied Pure Mathematics. WSEAS Press: Poland; 2014. pp. 375–82.

[57]  Yong A, Pearce S. A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis Tutor Quant Methods Psychol 2013; 9 79–94.

[58]  Kim H, Ku B, Kim JY, Park Y-J, Park Y-B. Confirmatory and exploratory factor analysis for validating the Phlegm Pattern Questionnaire for healthy subjects. Evi-Bas Complent Alt Med 2016; 2016 2696019.
Confirmatory and exploratory factor analysis for validating the Phlegm Pattern Questionnaire for healthy subjects.Crossref | GoogleScholarGoogle Scholar |

[59]  Ximénez C. Recovery of weak factor loadings in confirmatory factor analysis under conditions of model misspecification. Behav Res Methods 2009; 41 1038–52.
Recovery of weak factor loadings in confirmatory factor analysis under conditions of model misspecification.Crossref | GoogleScholarGoogle Scholar | 19897812PubMed |

[60]  Sim J, Wright CC. The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements. Phys Ther 2005; 85 257–68.
The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements.Crossref | GoogleScholarGoogle Scholar | 15733050PubMed |

[61]  Kost RG, de Rosa JC. Impact of survey length and compensation on validity, reliability, and sample characteristics for Ultrashort-, Short-, and Long-Research Participant Perception Surveys. J Clin Transl Sci 2018; 2 31–7.
Impact of survey length and compensation on validity, reliability, and sample characteristics for Ultrashort-, Short-, and Long-Research Participant Perception Surveys.Crossref | GoogleScholarGoogle Scholar | 30393572PubMed |

[62]  Walter M, Suina M. Indigenous data, Indigenous methodologies and Indigenous data sovereignty. Int J Soc Res Methodol 2019; 22 233–43.
Indigenous data, Indigenous methodologies and Indigenous data sovereignty.Crossref | GoogleScholarGoogle Scholar |