Skip to main content
Top
Published in: BMC Medical Research Methodology 1/2019

Open Access 01-12-2019 | Care | Debate

Self-reported and routinely collected electronic healthcare resource-use data for trial-based economic evaluations: the current state of play in England and considerations for the future

Authors: Matthew Franklin, Joanna Thorn

Published in: BMC Medical Research Methodology | Issue 1/2019

Login to get access

Abstract

Background

Randomised controlled trials (RCTs) are generally regarded as the “gold standard” for providing quantifiable evidence around the effectiveness and cost-effectiveness of new healthcare technologies. In order to perform the economic evaluations associated with RCTs, there is a need for accessible and good quality resource-use data; for the purpose of discussion here, data that best reflect the care received.
Traditionally, researchers have developed questionnaires for resource-use data collection. However, the evolution of routinely collected electronic data within care services provides new opportunities for collecting data without burdening patients or caregivers (e.g. clinicians). This paper describes the potential strengths and limitations of each data collection method and then discusses aspects for consideration before choosing which method to use.

Main text

We describe electronic data sources (large observational datasets, commissioning data, and raw data extraction) that may be suitable data sources for informing clinical trials and the current status of self-reported instruments for measuring resource-use. We assess the methodological risks and benefits, and compare the two methodologies. We focus on healthcare resource-use; however, many of the considerations have relevance to clinical questions.
Patient self-report forms a pragmatic and cheap method that is largely under the control of the researcher. However, there are known issues with the validity of the data collected, loss to follow-up may be high, and questionnaires suffer from missing data. Routinely collected electronic data may be more accurate and more practical if large numbers of patients are involved. However, datasets often incur a cost and researchers are bound by the time for data approval and extraction by the data holders.

Conclusions

Owing to the issues associated with electronic datasets, self-reported methods may currently be the preferred option. However, electronic hospital data are relatively more accessible, informative, standardised, and reliable. Therefore in trials where secondary care constitutes a major driver of patient care, detailed electronic data may be considered superior to self-reported methods; with the caveat of requiring data sharing agreements with third party providers and potentially time-consuming extraction periods. Self-reported methods will still be required when a ‘societal’ perspective (e.g. quantifying informal care) is desirable for the intended analysis.
Appendix
Available only for authorised users
Literature
3.
go back to reference Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes: Oxford university press; 2015. Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes: Oxford university press; 2015.
4.
go back to reference Ridyard CH, Hughes DA. Methods for the collection of resource use data within clinical trials: a systematic review of studies funded by the UK health technology assessment program. Value Health. 2010;13(8):867–72.PubMedCrossRef Ridyard CH, Hughes DA. Methods for the collection of resource use data within clinical trials: a systematic review of studies funded by the UK health technology assessment program. Value Health. 2010;13(8):867–72.PubMedCrossRef
6.
go back to reference Irvine L, Conroy SP, Sach T, Gladman JRF, Harwood RH, Kendrick D, Coupland C, Drummond A, Barton G, Masud T. Cost-effectiveness of a day hospital falls prevention programme for screened community-dwelling older people at high risk of falls. Age & Ageing. 2010;39(6):710–6.CrossRef Irvine L, Conroy SP, Sach T, Gladman JRF, Harwood RH, Kendrick D, Coupland C, Drummond A, Barton G, Masud T. Cost-effectiveness of a day hospital falls prevention programme for screened community-dwelling older people at high risk of falls. Age & Ageing. 2010;39(6):710–6.CrossRef
7.
go back to reference Ridyard CH, Hughes D. Review of resource-use measures in UK economic evaluations. In: Curtis L, Burns A, editors. Unit Costs of Health and Social Care 2015; 2015. p. 22–31. Ridyard CH, Hughes D. Review of resource-use measures in UK economic evaluations. In: Curtis L, Burns A, editors. Unit Costs of Health and Social Care 2015; 2015. p. 22–31.
8.
go back to reference Melis RJF, Adang E, Teerenstra S, van Eijken MIJ, Wimo A, van Achterberg T, van de Lisdonk EH, Rikkert MGMO. Cost-effectiveness of a multidisciplinary intervention model for community-dwelling frail older people. Journals of Gerontology Series A-Biological Sciences & Medical Sciences. 2008;63(3):275–82.CrossRef Melis RJF, Adang E, Teerenstra S, van Eijken MIJ, Wimo A, van Achterberg T, van de Lisdonk EH, Rikkert MGMO. Cost-effectiveness of a multidisciplinary intervention model for community-dwelling frail older people. Journals of Gerontology Series A-Biological Sciences & Medical Sciences. 2008;63(3):275–82.CrossRef
9.
go back to reference Kehusmaa S, Autti-Ramo I, Valaste M, Hinkka K, Rissanen P. Economic evaluation of a geriatric rehabilitation programme: a randomized controlled trial. J Rehabil Med. 2010;42(10):949–55.PubMedCrossRef Kehusmaa S, Autti-Ramo I, Valaste M, Hinkka K, Rissanen P. Economic evaluation of a geriatric rehabilitation programme: a randomized controlled trial. J Rehabil Med. 2010;42(10):949–55.PubMedCrossRef
11.
go back to reference Byford S, Leese M, Knapp M, Seivewright H, Cameron S, Jones V, Davidson K, Tyrer P. Comparison of alternative methods of collection of service use data for the economic evaluation health care interventions. Health Econ. 2007;16(5):531–6.PubMedCrossRef Byford S, Leese M, Knapp M, Seivewright H, Cameron S, Jones V, Davidson K, Tyrer P. Comparison of alternative methods of collection of service use data for the economic evaluation health care interventions. Health Econ. 2007;16(5):531–6.PubMedCrossRef
12.
go back to reference Bhandari A, Wagner T. Self-reported utilization of health care services: improving measurement and accuracy. Med Care Res Rev. 2006;63(2):217–35.PubMedCrossRef Bhandari A, Wagner T. Self-reported utilization of health care services: improving measurement and accuracy. Med Care Res Rev. 2006;63(2):217–35.PubMedCrossRef
13.
go back to reference van Asselt AD, van Mastrigt GA, Dirksen CD, Arntz A, Severens JL, Kessels AG. How to deal with cost differences at baseline. Pharmacoeconomics. 2009;27(6):519–28.PubMedCrossRef van Asselt AD, van Mastrigt GA, Dirksen CD, Arntz A, Severens JL, Kessels AG. How to deal with cost differences at baseline. Pharmacoeconomics. 2009;27(6):519–28.PubMedCrossRef
14.
go back to reference Noble SM, Hollingworth W, Tilling K. Missing data in trial-based cost-effectiveness analysis: the current state of play. Health Econ. 2012;21(2):187–200.PubMedCrossRef Noble SM, Hollingworth W, Tilling K. Missing data in trial-based cost-effectiveness analysis: the current state of play. Health Econ. 2012;21(2):187–200.PubMedCrossRef
15.
go back to reference Ramsey SD, Willke RJ, Glick H, Reed SD, Augustovski F, Jonsson B, Briggs A, Sullivan SD. Cost-effectiveness analysis alongside clinical trials II—an ISPOR good research practices task force report. Value Health. 2015;18(2):161–72.PubMedCrossRef Ramsey SD, Willke RJ, Glick H, Reed SD, Augustovski F, Jonsson B, Briggs A, Sullivan SD. Cost-effectiveness analysis alongside clinical trials II—an ISPOR good research practices task force report. Value Health. 2015;18(2):161–72.PubMedCrossRef
16.
17.
go back to reference Karimi M, Brazier J. Health, health-related quality of life, and quality of life: what is the difference? PharmacoEconomics. 2016;34:645–9.PubMedCrossRef Karimi M, Brazier J. Health, health-related quality of life, and quality of life: what is the difference? PharmacoEconomics. 2016;34:645–9.PubMedCrossRef
18.
go back to reference Beecham J, Knapp M. Costing psychiatric interventions. In: Thornicroft G, Brewin C, Wing J, editors. Measuring mental health needs. London: Gaskell; 1992. p. 179–90. Beecham J, Knapp M. Costing psychiatric interventions. In: Thornicroft G, Brewin C, Wing J, editors. Measuring mental health needs. London: Gaskell; 1992. p. 179–90.
19.
go back to reference Thorn JC, Coast J, Cohen D, Hollingworth W, Knapp M, Noble SM, Ridyard C, Wordsworth S, Hughes D. Resource-use measurement based on patient recall: issues and challenges for economic evaluation. Applied health economics and health policy. 2013;11(3):155–61.PubMedCrossRef Thorn JC, Coast J, Cohen D, Hollingworth W, Knapp M, Noble SM, Ridyard C, Wordsworth S, Hughes D. Resource-use measurement based on patient recall: issues and challenges for economic evaluation. Applied health economics and health policy. 2013;11(3):155–61.PubMedCrossRef
20.
go back to reference Thompson S, Wordsworth S. An annotated cost questionnaire for completion by patients. In: HERU discussion paper 03/01; 2001. Thompson S, Wordsworth S. An annotated cost questionnaire for completion by patients. In: HERU discussion paper 03/01; 2001.
21.
go back to reference Wordsworth S. Improving the transferability of costing results in economic evaluation: an application to dialysis therapy for end-stage renal disease: University of Aberdeen; 2004. Wordsworth S. Improving the transferability of costing results in economic evaluation: an application to dialysis therapy for end-stage renal disease: University of Aberdeen; 2004.
22.
go back to reference Bouwmans C, LH-v R, Koopmanschap M, Krol M, Severens H, Brouwer W. Handleiding iMTA Medical Cost Questionnaire (iMCQ). In. Rotterdam: iMTA, Erasmus Universiteit Rotterdam; 2013. Bouwmans C, LH-v R, Koopmanschap M, Krol M, Severens H, Brouwer W. Handleiding iMTA Medical Cost Questionnaire (iMCQ). In. Rotterdam: iMTA, Erasmus Universiteit Rotterdam; 2013.
23.
go back to reference Marti J, Hall PS, Hamilton P, Hulme CT, Jones H, Velikova G, Ashley L, Wright P. The economic burden of cancer in the UK: a study of survivors treated with curative intent. Psycho-Oncology. 2016;25(1):77–83.PubMedCrossRef Marti J, Hall PS, Hamilton P, Hulme CT, Jones H, Velikova G, Ashley L, Wright P. The economic burden of cancer in the UK: a study of survivors treated with curative intent. Psycho-Oncology. 2016;25(1):77–83.PubMedCrossRef
24.
go back to reference Wimo A, Gustavsson A, Jönsson L, Winblad B, Hsu M-A, Gannon B: Application of resource utilization in dementia (RUD) instrument in a global setting. Alzheimers Dement 2013, 9(4):429–435. e417. Wimo A, Gustavsson A, Jönsson L, Winblad B, Hsu M-A, Gannon B: Application of resource utilization in dementia (RUD) instrument in a global setting. Alzheimers Dement 2013, 9(4):429–435. e417.
25.
go back to reference Thorn J, Ridyard C, Riley R, Brookes S, Hughes D, Wordsworth S, Noble S, Thornton G, Hollingworth W. Core items for a standardised resource-use measure (ISRUM): expert Delphi consensus survey. Value Health. 2017; in press. Thorn J, Ridyard C, Riley R, Brookes S, Hughes D, Wordsworth S, Noble S, Thornton G, Hollingworth W. Core items for a standardised resource-use measure (ISRUM): expert Delphi consensus survey. Value Health. 2017; in press.
26.
go back to reference Franklin M, Berdunov V, Edmans J, Conroy S, Gladman J, Tanajewski L, Gkountouras G, Elliott RA. Identifying patient-level health and social care costs for older adults discharged from acute medical units in England. Age Ageing. 2014;43(5):703–7.PubMedCrossRef Franklin M, Berdunov V, Edmans J, Conroy S, Gladman J, Tanajewski L, Gkountouras G, Elliott RA. Identifying patient-level health and social care costs for older adults discharged from acute medical units in England. Age Ageing. 2014;43(5):703–7.PubMedCrossRef
30.
go back to reference Tanajewski L, Franklin M, Gkountouras G, Berdunov V, Edmans J, Conroy S, Bradshaw LE, Gladman JR, Elliott RA. Cost-effectiveness of a specialist geriatric medical intervention for frail older people discharged from acute medical units: economic evaluation in a two-Centre randomised controlled trial (AMIGOS). PLoS One. 2015;10(5):1–18.CrossRef Tanajewski L, Franklin M, Gkountouras G, Berdunov V, Edmans J, Conroy S, Bradshaw LE, Gladman JR, Elliott RA. Cost-effectiveness of a specialist geriatric medical intervention for frail older people discharged from acute medical units: economic evaluation in a two-Centre randomised controlled trial (AMIGOS). PLoS One. 2015;10(5):1–18.CrossRef
31.
go back to reference Tanajewski L, Franklin M, Gkountouras G, Berdunov V, Harwood RH, Goldberg SE, Bradshaw LE, Gladman JR, Elliott RA. Economic evaluation of a general hospital unit for older people with delirium and dementia (TEAM randomised controlled trial). PLoS One. 2015;10(12):1–20.CrossRef Tanajewski L, Franklin M, Gkountouras G, Berdunov V, Harwood RH, Goldberg SE, Bradshaw LE, Gladman JR, Elliott RA. Economic evaluation of a general hospital unit for older people with delirium and dementia (TEAM randomised controlled trial). PLoS One. 2015;10(12):1–20.CrossRef
32.
go back to reference Jones RG, Mehta MM, McKinley RK. Medical student access to electronic medical records in UK primary care. Education for Primary Care. 2011;22(1):4–6.PubMedCrossRef Jones RG, Mehta MM, McKinley RK. Medical student access to electronic medical records in UK primary care. Education for Primary Care. 2011;22(1):4–6.PubMedCrossRef
34.
go back to reference Kontopantelis E, Stevens RJ, Helms PJ, Edwards D, Doran T, Ashcroft DM. Spatial distribution of clinical computer systems in primary care in England in 2016 and implications for primary care electronic medical record databases: a cross-sectional population study. BMJ Open. 2018;8(2):e020738.PubMedPubMedCentralCrossRef Kontopantelis E, Stevens RJ, Helms PJ, Edwards D, Doran T, Ashcroft DM. Spatial distribution of clinical computer systems in primary care in England in 2016 and implications for primary care electronic medical record databases: a cross-sectional population study. BMJ Open. 2018;8(2):e020738.PubMedPubMedCentralCrossRef
36.
go back to reference Avery AJ, Rodgers S, Cantrill JA, Armstrong S, Elliott R, Howard R, Kendrick D, Morris CJ, Murray SA, Prescott RJ. Protocol for the PINCER trial: a cluster randomised trial comparing the effectiveness of a pharmacist-led IT-based intervention with simple feedback in reducing rates of clinically important errors in medicines management in general practices. Trials. 2009;10(1):1.CrossRef Avery AJ, Rodgers S, Cantrill JA, Armstrong S, Elliott R, Howard R, Kendrick D, Morris CJ, Murray SA, Prescott RJ. Protocol for the PINCER trial: a cluster randomised trial comparing the effectiveness of a pharmacist-led IT-based intervention with simple feedback in reducing rates of clinically important errors in medicines management in general practices. Trials. 2009;10(1):1.CrossRef
37.
38.
go back to reference Hammersley V, Meal A, Wright L, Pringle M. Using MIQUEST in general practice. Journal of Innovation in Health Informatics. 1998;7(2):3–7.CrossRef Hammersley V, Meal A, Wright L, Pringle M. Using MIQUEST in general practice. Journal of Innovation in Health Informatics. 1998;7(2):3–7.CrossRef
44.
go back to reference Elkhenini HF, Davis KJ, Stein ND, New JP, Delderfield MR, Gibson M, Vestbo J, Woodcock A, Bakerly ND. Using an electronic medical record (EMR) to conduct clinical trials: Salford lung study feasibility. BMC medical informatics and decision making. 2015;15(1):1.CrossRef Elkhenini HF, Davis KJ, Stein ND, New JP, Delderfield MR, Gibson M, Vestbo J, Woodcock A, Bakerly ND. Using an electronic medical record (EMR) to conduct clinical trials: Salford lung study feasibility. BMC medical informatics and decision making. 2015;15(1):1.CrossRef
62.
go back to reference Baker R, Tata LJ, Kendrick D, Orton E. Identification of incident poisoning, fracture and burn events using linked primary care, secondary care and mortality data from England: implications for research and surveillance. Injury prevention. 2016;22(1):59–67.PubMedCrossRef Baker R, Tata LJ, Kendrick D, Orton E. Identification of incident poisoning, fracture and burn events using linked primary care, secondary care and mortality data from England: implications for research and surveillance. Injury prevention. 2016;22(1):59–67.PubMedCrossRef
63.
go back to reference Herrett E, Shah AD, Boggon R, Denaxas S, Smeeth L, van Staa T, Timmis A, Hemingway H: Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. Bmj 2013, 346:f2350. Herrett E, Shah AD, Boggon R, Denaxas S, Smeeth L, van Staa T, Timmis A, Hemingway H: Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. Bmj 2013, 346:f2350.
64.
go back to reference Herrett E, Gallagher AM, Bhaskaran K, Forbes H, Mathur R, van Staa T, Smeeth L. Data resource profile: clinical practice research datalink (CPRD). Int J Epidemiol. 2015;44(3):827–36.PubMedPubMedCentralCrossRef Herrett E, Gallagher AM, Bhaskaran K, Forbes H, Mathur R, van Staa T, Smeeth L. Data resource profile: clinical practice research datalink (CPRD). Int J Epidemiol. 2015;44(3):827–36.PubMedPubMedCentralCrossRef
65.
go back to reference Franklin M, Davis S, Horspool M, Kua WS, Julious S. Economic evaluations alongside efficient study designs using large observational datasets: the PLEASANT trial case study. PharmacoEconomics. 2017:1–13. Franklin M, Davis S, Horspool M, Kua WS, Julious S. Economic evaluations alongside efficient study designs using large observational datasets: the PLEASANT trial case study. PharmacoEconomics. 2017:1–13.
66.
go back to reference Asaria M, Grasic K, Walker S. Using linked electronic health records to estimate healthcare costs: key challenges and opportunities. PharmacoEconomics. 2016;34(2):155–60.PubMedCrossRef Asaria M, Grasic K, Walker S. Using linked electronic health records to estimate healthcare costs: key challenges and opportunities. PharmacoEconomics. 2016;34(2):155–60.PubMedCrossRef
67.
go back to reference van Staa T-P, Goldacre B, Gulliford M, Cassell J, Pirmohamed M, Taweel A, Delaney B, Smeeth L. Pragmatic randomised trials using routine electronic health records: putting them to the test. Bmj. 2012;344:e55.PubMedPubMedCentralCrossRef van Staa T-P, Goldacre B, Gulliford M, Cassell J, Pirmohamed M, Taweel A, Delaney B, Smeeth L. Pragmatic randomised trials using routine electronic health records: putting them to the test. Bmj. 2012;344:e55.PubMedPubMedCentralCrossRef
69.
go back to reference Horspool MJ, Julious SA, Boote J, Bradburn MJ, Cooper CL, Davis S, Elphick H, Norman P, Smithson WH. Preventing and lessening exacerbations of asthma in school-age children associated with a new term (PLEASANT): study protocol for a cluster randomised control trial. Trials. 2013;14:297–307.PubMedPubMedCentralCrossRef Horspool MJ, Julious SA, Boote J, Bradburn MJ, Cooper CL, Davis S, Elphick H, Norman P, Smithson WH. Preventing and lessening exacerbations of asthma in school-age children associated with a new term (PLEASANT): study protocol for a cluster randomised control trial. Trials. 2013;14:297–307.PubMedPubMedCentralCrossRef
70.
go back to reference Horspool MJ, Julious SA, Mooney C, May R, Sully B, Smithson WH. Preventing and lessening exacerbations of asthma in school-aged children associated with a New term (PLEASANT): recruiting primary care research sites–the PLEASANT experience. NPJ primary care respiratory medicine. 2015;25:15066.PubMedPubMedCentralCrossRef Horspool MJ, Julious SA, Mooney C, May R, Sully B, Smithson WH. Preventing and lessening exacerbations of asthma in school-aged children associated with a New term (PLEASANT): recruiting primary care research sites–the PLEASANT experience. NPJ primary care respiratory medicine. 2015;25:15066.PubMedPubMedCentralCrossRef
71.
go back to reference Department of Health. A Simple Guide to Payment by Results. In: Department of Health (DoH); 2013. Department of Health. A Simple Guide to Payment by Results. In: Department of Health (DoH); 2013.
72.
go back to reference Noben CY, de Rijk A, Nijhuis F, Kottner J, Evers S. The exchangeability of self-reports and administrative health care resource use measurements: assessement of the methodological reporting quality. J Clin Epidemiol. 2016;74:93–106.PubMedCrossRef Noben CY, de Rijk A, Nijhuis F, Kottner J, Evers S. The exchangeability of self-reports and administrative health care resource use measurements: assessement of the methodological reporting quality. J Clin Epidemiol. 2016;74:93–106.PubMedCrossRef
73.
go back to reference Byford S, Leese M, Knapp M, Seivewright H, Cameron S, Jones V, Davidson K, Tyrer P. Comparison of alternative methods of collection of service use data for the economic evaluation of health care interventions. Health Econ. 2007;16(5):531–6.PubMedCrossRef Byford S, Leese M, Knapp M, Seivewright H, Cameron S, Jones V, Davidson K, Tyrer P. Comparison of alternative methods of collection of service use data for the economic evaluation of health care interventions. Health Econ. 2007;16(5):531–6.PubMedCrossRef
74.
go back to reference Williams NH, Mawdesley K, Roberts JL, Din NU, Totton N, Charles JM, Hoare Z, Edwards RT. Hip fracture in the elderly multidisciplinary rehabilitation (FEMuR) feasibility study: testing the use of routinely collected data for future health economic evaluations. Pilot and feasibility studies. 2018;4(1):76.PubMedPubMedCentralCrossRef Williams NH, Mawdesley K, Roberts JL, Din NU, Totton N, Charles JM, Hoare Z, Edwards RT. Hip fracture in the elderly multidisciplinary rehabilitation (FEMuR) feasibility study: testing the use of routinely collected data for future health economic evaluations. Pilot and feasibility studies. 2018;4(1):76.PubMedPubMedCentralCrossRef
75.
go back to reference van Lier LI, Bosmans JE, van Hout HP, Mokkink LB, van den Hout WB, de Wit GA, Dirksen CD, Nies HL, Hertogh CM, van der Roest HG. Consensus-based cross-European recommendations for the identification, measurement and valuation of costs in health economic evaluations: a European Delphi study. Eur J Health Econ. 2017:1–16. van Lier LI, Bosmans JE, van Hout HP, Mokkink LB, van den Hout WB, de Wit GA, Dirksen CD, Nies HL, Hertogh CM, van der Roest HG. Consensus-based cross-European recommendations for the identification, measurement and valuation of costs in health economic evaluations: a European Delphi study. Eur J Health Econ. 2017:1–16.
76.
go back to reference Thorn JC, Turner E, Hounsome L, Walsh E, Donovan JL, Verne J, Neal DE, Hamdy FC, Martin RM, Noble SM. Validation of the hospital episode statistics outpatient dataset in England. PharmacoEconomics. 2016;34(2):161–8.PubMedCrossRef Thorn JC, Turner E, Hounsome L, Walsh E, Donovan JL, Verne J, Neal DE, Hamdy FC, Martin RM, Noble SM. Validation of the hospital episode statistics outpatient dataset in England. PharmacoEconomics. 2016;34(2):161–8.PubMedCrossRef
77.
go back to reference Spencer SA, Davies MP. Hospital episode statistics: improving the quality and value of hospital data: a national internet e-survey of hospital consultants. BMJ Open. 2012;2(6):e001651.PubMedPubMedCentralCrossRef Spencer SA, Davies MP. Hospital episode statistics: improving the quality and value of hospital data: a national internet e-survey of hospital consultants. BMJ Open. 2012;2(6):e001651.PubMedPubMedCentralCrossRef
81.
go back to reference House of Commons Public Accounts Committee. The National Programme for IT in the NHS: Progress since 2006. In: House of Commons; 2009. House of Commons Public Accounts Committee. The National Programme for IT in the NHS: Progress since 2006. In: House of Commons; 2009.
85.
go back to reference Lugg-Widger FV, Angel L, Cannings-John R, Hood K, Hughes K, Moody G, Robling M. Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: managing the morass. International Journal of Population Data Science. 2018;3(3). Lugg-Widger FV, Angel L, Cannings-John R, Hood K, Hughes K, Moody G, Robling M. Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: managing the morass. International Journal of Population Data Science. 2018;3(3).
86.
go back to reference McColl E, Jacoby A, Thomas L, Soutter J, Bamford C, Steen N, Thomas R, Harvey E, Garratt A, Bond J. Design and use of questionnaires: a review of best practice applicable to surveys of health service staff and patients: Core research; 2001. McColl E, Jacoby A, Thomas L, Soutter J, Bamford C, Steen N, Thomas R, Harvey E, Garratt A, Bond J. Design and use of questionnaires: a review of best practice applicable to surveys of health service staff and patients: Core research; 2001.
87.
go back to reference Kjellsson G, Clarke P, Gerdtham U-G. Forgetting to remember or remembering to forget: a study of the recall period length in health care survey questions. J Health Econ. 2014;35:34–46.PubMedCrossRef Kjellsson G, Clarke P, Gerdtham U-G. Forgetting to remember or remembering to forget: a study of the recall period length in health care survey questions. J Health Econ. 2014;35:34–46.PubMedCrossRef
Metadata
Title
Self-reported and routinely collected electronic healthcare resource-use data for trial-based economic evaluations: the current state of play in England and considerations for the future
Authors
Matthew Franklin
Joanna Thorn
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Care
Published in
BMC Medical Research Methodology / Issue 1/2019
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-018-0649-9

Other articles of this Issue 1/2019

BMC Medical Research Methodology 1/2019 Go to the issue