Resource-use data collection methods based on patient recall

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Transcription:

PLEASE DO NOT REPRODUCE Resource-use data collection methods based on patient recall Professor Dyfrig Hughes Bangor University

Trial-based economic evaluations Clinical trials important for capturing data on healthcare resource use Methods typically rely on: Patient (or carer) recall (e.g. questionnaires, diaries or interviews) Prospective forms completed by trial researchers or healthcare professional Routinely available data (e.g. hospital and GP records, hospital episode statistics) Expert panels

Review of HTA-funded trials 85/95 studies collected patient-level data 61 used at least 2 methods Diaries used in 20 studies 63 studies used questionnaires / forms / interviews Median recall period 4.5 mo (IQR 2-6 mo) Ridyard, Hughes. Value Health. 2010;13(8):867-72

Instrument testing Evidence of resource identification at the planning stage n=22 out of 95 Piloting n=21 out of 63 Validation of data collection methods n=28 out of 85

Practice Comment Perspective Identify resources for measurement Data collection & analysis plan Resource use data collection Aligned with that of the decision maker (NHS +/- Personal Social Services, Societal) Items for costing should be identified a priori from consultation with health care professionals, pilot studies or literature searches A plan detailing how cost and resource use data will be obtained is essential (e.g. frequency, sources, time horizon, statistical analysis, methods) Choice depends on: reliability of patient recall, burden on the researcher/ healthcare practitioner, completeness and appropriateness of routinely collected data, information technology systems, cost of acquiring the data. The method selected, and frequency of data capture, should be informed by previous studies or pilot studies

Practice Piloting Validation Non trial estimates of resource use Method of costing Standardised reporting format Comment Patient / carer completed forms should be piloted to test clarity, ease of use and completion rates Alternative methods of resource use data collection should be employed to test for validity Documented and systematic approach to their selection Top-down micro-costing, applying national costs to patientlevel units of resource use where they exist To improve transparency and enhance benchmarking between similar studies

DIRUM - Database of Instruments for Resource Use Measurement Purpose: To support health economists involved in trialbased evaluations To help improve future design and development of instruments To establish a research agenda on issues of content validity, construct validity, responsiveness and reliability of resource-use instruments

Collecting instruments for database Contacted authors of all primary research HTA studies Contacted authors of all full UK economic evaluations listed in NHS EED (2008-10) E-mailed health economists subscribing to the health economics mailing list Invited to completed on-line survey

Results

DIRUM - online database Support data navigation, sorting, searching, advanced filtering, record addition, modification, deletion and file uploads Full access to questionnaire, access to review copy of questionnaire or description of questionnaire only

1. Document Provider 2. Name of measure 3. Developer/s 4. Perspective 5. year 6. Disease 7. Disease Name 8. Population (paediatric, adult, elderly) 9. Setting of care 10. Intervention 11. items of resources 12. Evidence of how resource items for Reports costing were identified 1. Summary 13. pilot 2. Detail 14. Validity (face, content, 3. Derived instruments criterion) 15. reliability 4. Length of patient recall 16. Responsiveness 5. Diseases 17. Time to complete 6. Populations 18. acceptability 19. rates of missing data 20. rates of refusal 21. cost 22. manual available 23. generalisable 24. How often was economic data collected 25. recall period 26. Availability 27. Patient/ carer completed etc 28. Context (was this the only means of collecting resource use data in study? Note: Underlined items are search criteria 1 to many relationships Who has used this instrument in subsequent studies? 1. Reference 2. Name of measure 3. Developer/s 4. perspective 5. Disease 6. Population 7. Amendments / changes Perspective and items of resource may potentially become a 1 to many relationship, too References relating to the study the instrument was used in 1. Reference Has this instrument been derived from previous studies? 1. Reference 2. Name of measure 3. Developer/s 4. perspective 5. Disease 6. Population 7. Amendments / changes

Research collaboration for DIRUM (cross-hub funding) Dr Colin Ridyard, NWHTMR Dr William Hollingworth, ConDuCT Dr Sian Noble, ConDuCT Joanna Thorn, ConDuCT Professor Joanna Coast, MHTMR David Whitehurst Professor Martin Knapp

Send us your resource use instrument for inclusion in DIRUM! d.a.hughes@bangor.ac.uk