The Cost of Uncontrolled Blood Pressure in Australian General Practice: A Modelling Study Using Electronic Health Records (MedicineInsight).

Jacqueline Roseleur, David A Gonzalez-Chica, Gillian Harvey, Nigel P Stocks, Jonathan Karnon
Author Information
  1. Jacqueline Roseleur: School of Public Health, Faculty of Health Sciences, The University of Adelaide, Adelaide, SA, Australia. jackie.roseleur@adelaide.edu.au. ORCID
  2. David A Gonzalez-Chica: Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia. ORCID
  3. Gillian Harvey: Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia. ORCID
  4. Nigel P Stocks: Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia. ORCID
  5. Jonathan Karnon: Flinders Health and Medical Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia. ORCID

Abstract

BACKGROUND: Hypertension is the most common condition seen in Australian general practice. Despite hypertension being amenable to lifestyle modifications and pharmacological treatment, only around half of these patients have controlled blood pressure levels (< 140/90 mmHg), placing them at an increased risk of cardiovascular disease.
OBJECTIVE: We aimed to estimate the health and acute hospitalisation costs of uncontrolled hypertension among patients attending general practice.
METHODS: We used population data and electronic health records from 634,000 patients aged 45-74 years who regularly attended an Australian general practice between 2016 and 2018 (MedicineInsight database). An existing worksheet-based costing model was adapted to calculate the potential cost savings for acute hospitalisation of primary cardiovascular disease events by reducing the risk of a cardiovascular event over the next 5 years through improved systolic blood pressure control. The model estimated the number of expected cardiovascular disease events and associated acute hospital costs under current levels of systolic blood pressure and compared this estimate with the expected number of cardiovascular disease events and costs under different levels of systolic blood pressure control.
RESULTS: The model estimated that across all Australians aged 45-74 years who visit their general practitioner (n = 8.67 million), 261,858 cardiovascular disease events can be expected over the next 5 years at current systolic blood pressure levels (mean 137.8 mmHg, standard deviation = 12.3 mmHg), with a cost of AUD$1813 million (in 2019-20). By reducing the systolic blood pressure of all patients with a systolic blood pressure greater than 139 mmHg to 139 mmHg, 25,845 cardiovascular disease events could be avoided with an associated reduction in acute hospital costs of AUD$179 million. If systolic blood pressure is lowered further to 129 mmHg for all those with systolic blood pressure greater than 129 mmHg, 56,169 cardiovascular disease events could be avoided with potential cost savings of AUD$389 million. Sensitivity analyses indicate that potential cost savings range from AUD$46 million to AUD$1406 million and AUD$117 million to AUD$2009 million for the two scenarios, respectively. Cost savings by practice range from AUD$16,479 for small practices to AUD$82,493 for large practices.
CONCLUSIONS: The aggregate cost effects of poor blood pressure control in primary care are high, but cost implications at the individual practice level are modest. The potential cost savings improve the potential to design cost-effective interventions, but such interventions may be best targeted at a population level rather than at individual practices.

References

  1. Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, et al. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet. 2021;398(10304):957–80. [DOI: 10.1016/S0140-6736(21)01330-1]
  2. Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1223–49. [DOI: 10.1016/S0140-6736(20)30752-2]
  3. Gaziano TA, Bitton A, Anand S, Weinstein MC, International Society of Hypertension. The global cost of nonoptimal blood pressure. J Hypertens. 2009;27(7):1472–7. [PMID: 19474763]
  4. Australian Institute of Health and Welfare. Australian Burden of Disease Study: impact and causes of illness and death in Australia 2015. Canberra (ACT): Australian Institute of Health and Welfare; 2019.
  5. Australian Institute of Health and Welfare. Disease expenditure in Australia 2018–19. 2021. https://www.aihw.gov.au/reports/health-welfare-expenditure/disease-expenditure-australia/contents/australian-burden-of-disease-groups . Accessed 15 Mar 2022.
  6. Hird TR, Zomer E, Owen AJ, Magliano DJ, Liew D, Ademi Z. Productivity burden of hypertension in Australia. Hypertension. 2019;73(4):777–84. [PMID: 30798659]
  7. NPS MedicineWise. General practice insights report July 2018–June 2019. Sydney: NPS MedicineWise; 2020.
  8. Roseleur J, Gonzalez-Chica DA, Bernardo CO, Geisler BP, Karnon J, Stocks NP. Blood pressure control in Australian general practice: analysis using general practice records of 12 million patients from the MedicineInsight database. J Hypertens. 2021;39(6):1134–42. [PMID: 33967217]
  9. Zhou D, Xi B, Zhao M, Wang L, Veeranki SP. Uncontrolled hypertension increases risk of all-cause and cardiovascular disease mortality in US adults: the NHANES III Linked Mortality Study. Sci Rep. 2018;8(1):9418. [PMID: 29925884]
  10. Schutte AE, Webster R, Jennings G, Schlaich MP. Uncontrolled blood pressure in Australia: a call to action. Med J Aust. 2022;216(2):61–3. [PMID: 34865237]
  11. Cadilhac DA, Carter R, Thrift AG, Dewey HM. Organized blood pressure control programs to prevent stroke in Australia: would they be cost-effective? Stroke. 2012;43(5):1370–5. [PMID: 22363058]
  12. Muntner P, Whelton PK. Using predicted cardiovascular disease risk in conjunction with blood pressure to guide antihypertensive medication treatment. J Am Coll Cardiol. 2017;69(19):2446–56. [PMID: 28494981]
  13. National Heart Foundation of Australia. Guideline for the diagnosis and management of hypertension in adults: 2016. Melbourne: National Heart Foundation of Australia; 2016.
  14. National Vascular Disease Prevention Alliance. Guidelines for the management of absolute cardiovascular disease risk. Melbourne: Melbourne National Stroke Foundation; 2012.
  15. Busingye D, Gianacas C, Pollack A, Chidwick K, Merrifield A, Norman S, et al. Data resource profile: MedicineInsight, an Australian national primary health care database. Int J Epidemiol. 2019;48(6):1741-h.
  16. Lloyd A, Schmieder C, Marchant N. Financial and health costs of uncontrolled blood pressure in the United Kingdom. Pharmacoeconomics. 2003;21(Suppl. 1):33–41. [PMID: 12648033]
  17. Australian Bureau of Statistics. National, state and territory population. 2021. https://www.abs.gov.au/statistics/people/population/national-state-and-territory-population/jun-2021 . Accessed 12 Feb 2022.
  18. Australian Bureau of Statistics. Patient experiences in Australia: 2018–2019. 2019. https://www.abs.gov.au/statistics/health/health-services/patient-experiences-australia-summary-findings/2018-19#data-download . Accessed 12 Feb 2022.
  19. The Royal Australian College of General Practitioners. Standards for general practices, 5th edition. Melbourne: RACGP; 2020.
  20. Havard A, Manski-Nankervis JA, Thistlethwaite J, Daniels B, Myton R, Tu K, et al. Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database. BMC Health Serv Res. 2021;21(1):551. [PMID: 34090424]
  21. Roseleur J, Gonzalez-Chica DA, Karnon J, Stocks NP. Predicted cardiovascular disease risk and prescribing of antihypertensive therapy among patients with hypertension in Australia using MedicineInsight. J Hum Hypertens. 2022. https://doi.org/10.1038/s41371-022-00691-z . [DOI: 10.1038/s41371-022-00691-z]
  22. Peng M, Chen G, Kaplan GG, Lix LM, Drummond N, Lucyk K, et al. Methods of defining hypertension in electronic medical records: validation against national survey data. J Public Health (Oxf). 2016;38(3):e392–9. [PMID: 26547088]
  23. Ettehad D, Emdin CA, Kiran A, Anderson SG, Callender T, Emberson J, et al. Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. Lancet. 2016;387(10022):957–67. [PMID: 26724178]
  24. D’Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008;117(6):743–53. [PMID: 18212285]
  25. Australian Institute of Health and Welfare. National hospital morbidity database. 2020. https://www.aihw.gov.au/reports/hospitals/principal-diagnosis-data-cubes/contents/data-cubes . Accessed 5 Feb 2022.
  26. Australian Institute of Health and Welfare. Heart, stroke and vascular disease: Australian facts. 2021. https://www.aihw.gov.au/reports/heart-stroke-vascular-diseases/hsvd-facts/data . Accessed 5 Feb 2022.
  27. Si S, Moss J, Karnon J, Stocks N. Cost-effectiveness evaluation of the 45–49 year old health check versus usual care in Australian general practice: a modelling study. PLoS ONE. 2018;13(11): e0207110. [PMID: 30412596]
  28. National Hospital Cost Data Collection. NHCDC round 23 admitted acute cost weight table: Version 10.0. 2019. https://www.ihpa.gov.au/what-we-do/nhcdc/public-sector . Accessed 5 Feb 2022.
  29. Australian Bureau of Statistics. Consumer Price Index, Australia. 2022. https://www.abs.gov.au/statistics/economy/price-indexes-and-inflation/consumer-price-index-australia/dec-2021 . Accessed 5 Feb 2022.
  30. Cadilhac DA, Dewey HM, Denisenko S, Bladin CF, Meretoja A. Changes in acute hospital costs after employing clinical facilitators to improve stroke care in Victoria, Australia. BMC Health Serv Res. 2019;19(1):41. [PMID: 30658645]
  31. National Heart Foundation of Australia. Economic cost of acute coronary syndrome in Australia: the cost to governments. Melbourne: National Heart Foundation of Australia; 2018.
  32. Smith SL, Norman R, Moxon JV, Velu R, Quigley F, Golledge J. Outcomes and costs of open and endovascular revascularisation for chronic limb ischaemia in an Australian cohort. Heart Lung Circ. 2021;30(10):1552–61. [PMID: 34045140]
  33. Goldstein BA, Bhavsar NA, Phelan M, Pencina MJ. Controlling for informed presence bias due to the number of health encounters in an electronic health record. Am J Epidemiol. 2016;184(11):847–55. [PMID: 27852603]
  34. Smolina K, Wright FL, Rayner M, Goldacre MJ. Long-term survival and recurrence after acute myocardial infarction in England, 2004 to 2010. Circ Cardiovasc Qual Outcomes. 2012;5(4):532–40. [PMID: 22740013]
  35. Kaul P, Ezekowitz JA, Armstrong PW, Leung BK, Savu A, Welsh RC, et al. Incidence of heart failure and mortality after acute coronary syndromes. Am Heart J. 2013;165(3):379-85.e2. [PMID: 23453107]
  36. National Heart Foundation of Australia. Economic cost of acute coronary syndrome in Australia: the cost to individuals and their families. Melbourne: National Heart Foundation of Australia; 2018.
  37. Australian Institute of Health and Welfare. Health expenditure Australia 2019–20. Canberra: Australian Institute of Health and Welfare; 2021.
  38. Eijkenaar F, Emmert M, Scheppach M, Schoffski O. Effects of pay for performance in health care: a systematic review of systematic reviews. Health Policy. 2013;110(2–3):115–30. [PMID: 23380190]
  39. Ogundeji YK, Bland JM, Sheldon TA. The effectiveness of payment for performance in health care: a meta-analysis and exploration of variation in outcomes. Health Policy. 2016;120(10):1141–50. [PMID: 27640342]
  40. Flodgren G, Eccles MP, Shepperd S, Scott A, Parmelli E, Beyer FR. An overview of reviews evaluating the effectiveness of financial incentives in changing healthcare professional behaviours and patient outcomes. Cochrane Database Syst Rev. 2011;2011(7):CD009255. [PMID: 21735443]
  41. Wilding A, Munford L, Guthrie B, Kontopantelis E, Sutton M. Family doctor responses to changes in target stringency under financial incentives. J Health Econ. 2022;2(85): 102651. [DOI: 10.1016/j.jhealeco.2022.102651]
  42. Allen T, Mason T, Whittaker W. Impacts of pay for performance on the quality of primary care. Risk Manag Healthc Policy. 2014;7:113–20. [PMID: 25061341]
  43. Australian Government Department of Health. Practice Incentives Program quality improvement incentive fact sheet. 2019. https://www1.health.gov.au/internet/main/publishing.nsf/Content/46506AF50A4824B6CA25848600113FFF/$File/Practice-Incentives-Program-Quality-Improvement-Incentive-Fact-Sheet-what-practices-need-to-know.pdf . Accessed 7 July 2022.
  44. Australian Institute of Health and Welfare. Practice Incentives Program quality improvement measures: national report on the first year of data 2020–21. 2021. https://www.aihw.gov.au/reports/primary-health-care/pipqi-measures-national-report-2020-21/contents/pipqi-measures/qim-8-risk-factors-recorded-for-cvd-assessment . Accessed 7 July 2022.
  45. World Health Organization. HEARTS technical package for cardiovascular disease management in primary health care: risk based CVD management. Geneva: World Health Organization; 2020.
  46. Gillam SJ, Siriwardena AN, Steel N. Pay-for-performance in the United Kingdom: impact of the quality and outcomes framework: a systematic review. Ann Fam Med. 2012;10(5):461–8. [PMID: 22966110]
  47. Baskerville NB, Liddy C, Hogg W. Systematic review and meta-analysis of practice facilitation within primary care settings. Ann Fam Med. 2012;10(1):63–74. [PMID: 22230833]
  48. Wang A, Pollack T, Kadziel LA, Ross SM, McHugh M, Jordan N, et al. Impact of practice facilitation in primary care on chronic disease care processes and outcomes: a systematic review. J Gen Intern Med. 2018;33(11):1968–77. [PMID: 30066117]
  49. Harvey G, Kitson A. Translating evidence into healthcare policy and practice: single versus multi-faceted implementation strategies: is there a simple answer to a complex question? Int J Health Policy Manag. 2015;4(3):123–6. [PMID: 25774368]
  50. Kitson A, Harvey G, McCormack B. Enabling the implementation of evidence based practice: a conceptual framework. Qual Health Care. 1998;7(3):149–58. [PMID: 10185141]
  51. Bero LA, Grilli R, Grimshaw JM, Harvey E, Oxman AD, Thomson MA. Closing the gap between research and practice: an overview of systematic reviews of interventions to promote the implementation of research findings. BMJ. 1998;317(7156):465–8. [PMID: 9703533]
  52. Mills KT, Obst KM, Shen W, Molina S, Zhang HJ, He H, et al. Comparative effectiveness of implementation strategies for blood pressure control in hypertensive patients: a systematic review and meta-analysis. Ann Intern Med. 2018;168(2):110–20. [PMID: 29277852]
  53. Jaffe MG, Lee GA, Young JD, Sidney S, Go AS. Improved blood pressure control associated with a large-scale hypertension program. JAMA. 2013;310(7):699–705. [PMID: 23989679]
  54. Howard K, White S, Salkeld G, McDonald S, Craig JC, Chadban S, et al. Cost-effectiveness of screening and optimal management for diabetes, hypertension, and chronic kidney disease: a modeled analysis. Value Health. 2010;13(2):196–208. [PMID: 19878493]
  55. Ong KS, Carter R, Vos T, Kelaher M, Anderson I. Cost-effectiveness of interventions to prevent cardiovascular disease in Australia’s indigenous population. Heart Lung Circ. 2014;23(5):414–21. [PMID: 24252448]
  56. Stewart S, Carrington MJ, Swemmer CH, Anderson C, Kurstjens NP, Amerena J, et al. Effect of intensive structured care on individual blood pressure targets in primary care: multicentre randomised controlled trial. BMJ. 2012;20(345): e7156. [DOI: 10.1136/bmj.e7156]
  57. Stephen C, Halcomb E, Fernandez R, McInnes S, Batterham M, Zwar N. Nurse-led interventions to manage hypertension in general practice: a systematic review and meta-analysis. J Adv Nurs. 2022;78(5):1281–93. [PMID: 35244944]
  58. Hoomans T, Severens JL. Economic evaluation of implementation strategies in health care. Implement Sci. 2014;9(1):168. [PMID: 25518730]
  59. Australian Department of Health and Aged Care. MRFF cardiovascular health mission roadmap. 2021. https://www.health.gov.au/resources/publications/mrff-cardiovascular-health-mission-roadmap . Accessed 2 Aug 2022.

MeSH Term

Humans
Blood Pressure
Cardiovascular Diseases
Electronic Health Records
Australia
Hypertension
General Practice

Word Cloud

Created with Highcharts 10.0.0bloodpressurecardiovascularsystolicmillionmmHgdiseasecosteventspracticepotentialsavingsgeneralpatientslevelsacutecostsyearsAustralianmodelcontrolexpectedpracticeshypertensionriskestimatehealthhospitalisationpopulationaged45-74MedicineInsightprimaryreducingnext5estimatednumberassociatedhospitalcurrent=8greater139avoided129rangeCostindividuallevelinterventionsBACKGROUND:HypertensioncommonconditionseenDespiteamenablelifestylemodificationspharmacologicaltreatmentaroundhalfcontrolled<140/90placingincreasedOBJECTIVE:aimeduncontrolledamongattendingMETHODS:useddataelectronicrecords634000regularlyattended20162018databaseexistingworksheet-basedcostingadaptedcalculateeventimprovedcompareddifferentRESULTS:acrossAustraliansvisitpractitionern67261858canmean137standarddeviation123AUD$18132019-2025845reductionAUD$179lowered56169AUD$389SensitivityanalysesindicateAUD$46AUD$1406AUD$117AUD$2009twoscenariosrespectivelyAUD$16479smallAUD$82493largeCONCLUSIONS:aggregateeffectspoorcarehighimplicationsmodestimprovedesigncost-effectivemaybesttargetedratherUncontrolledBloodPressureGeneralPractice:ModellingStudyUsingElectronicHealthRecords

Similar Articles

Cited By

No available data.