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The Outcomes Assessment and Complexity Collaborative (OACC) and a - PowerPoint PPT Presentation

Visit our website www.csi.kcl.ac.uk Follow us on twitter: @CSI_KCL The Outcomes Assessment and Complexity Collaborative (OACC) and a proposed national Data and Outcomes set Fliss Murtagh 27 June 2014 OACC what is it? A collaboration


  1. Visit our website www.csi.kcl.ac.uk Follow us on twitter: @CSI_KCL The Outcomes Assessment and Complexity Collaborative (OACC) and a proposed national Data and Outcomes set Fliss Murtagh 27 June 2014

  2. OACC – what is it? • A collaboration across South East London to implement outcome measures into palliative care practice: – develop and provide staff training to support the implementation of these outcome measures – integrate health information technology to establish workable ways of capturing and processing data – provide regular feedback of results to the teams, using Quality Improvement Facilitators to directly improve patient and family care

  3. OACC – what is it? • Extending across London and nationally • Very much in partnership – Directly with Help the Hospices – Also working with: • Dr Bee Wee, National Clinical Director • NHS England & Public Health England • Palliative Care Funding Pilots • NCPC, Marie Curie and other partners • An ‘open’ collaborative

  4. CLAHRC South London – what is it? • CLAHRC – means ‘Collaboration for Leadership in applied Health Research and Care’ • CLAHRC South London • Palliative and End of Life Care theme (one of eight) • Very few CLAHRCs nationally include a specific palliative and end of life care theme • Extending the work of OACC across South London • Connecting into the national level

  5. Short term objectives • A common set of measures to capture patient needs and outcomes – measures which work hard for us (capture needs, complexity, outcomes and can deliver quality indicators) – aligned with other initiatives (Funding Pilots in England, national MDS, national outcomes initiative, NICE Quality Standards, ELCQuA)

  6. Medium term objectives • To implement the common set of measures to capture patient needs, complexity, and outcomes • Work towards linked / pooled outcome data – to better understand the population needs and outcomes – to support evaluation of interventions – to support quality improvement – to enable realistic and meaningful benchmarking

  7. Long term objectives • To regularly map casemix-adjusted outcomes across settings and services • To support quality improvement Principles throughout… • Better care for patients and families • Inclusivity, patient- and family-centeredness, bridging evidence and practice

  8. The kinds of data needed Bereavement outcomes Demographic and Structural, process, At family level clinical data, including and organisational data p atient and family outcomes Largely at At individual organisational level Social capital and patient and volunteering family level

  9. The kinds of data needed – Demographic and clinical data – Quality standards or indicators – Outcome measures – Experience measures • Not specifically discussing this – Safety indicators (mitigation of risk) • Not specifically discussing this

  10. Quality of care What to measure? 1. patient demographics, clinical data 2. funding and Donabedian 1980 payment 3. evaluation structures and and research flows

  11. What is an outcome measure? • Way of measuring changes in a patient’s health over time • Outcome = “the change in a patient’s current and future health status that can be attributed to preceding healthcare” (Donabedian 1980)

  12. What is a quality indicator? • Norms, criteria, standards, and other direct qualitative and quantitative measures used in determining the quality of health care • ‘explicitly defined, measurable item which reflects the quality of structure , processes or outcomes of care’ (Campbell SM, 2003 & Donabedian 1988) • A quality indicator requires explicit and defined components: – Numerator e.g. number of patients with improvement in pain score between admission and < 48 hours – Denominator e.g. total number of patients for whom pain is scored at admission – Norm or standard e.g. at least 80% report improved pain

  13. Examples in palliative and end of life care • Problem severity score (e.g. pain, nausea, SOB, anxiety, depressed mood, family burden) • Measurement at T1: – captures main concerns or domains of need (‘ability to benefit’ from health or social care intervention) – number, severity and interaction of domains = complexity of needs – Numerator/denominator/norm = quality indicator • Measurement at T2: – Change in eg pain score = outcome (change in health status)

  14. At what level are measures being i) collected and ii) used? • Individual level Linking – To inform the care of an individual data • Service level in – Aggregated from individuals this – To shape and plan services way multiplies – Quality assurance its • Population level value – Sample – representative or not – Whole population – Commissioning/research • National and International level

  15. Measures need to be … • Valid – measure what they should – Content/face validity – domains of interest included – Construct validity – corresponds with theoretical constructs/other measures • Reliable – can be systematically depended on in a team and over time – Test - re-test reliability – Inter-rater reliability • Sensitive to change – picks up important change • Clinically applicable – Brief and not too burdensome to patients, families or staff

  16. Outcome measures also need … • To work hard for us !! – Make sense to those using them – Improve day to day clinical care – Enable better informed strategic and management decisions • Locally • Sector wide • Nationally – Serve more than one purpose • E.g. capture complexity, deliver quality indicators, and outcomes

  17. What demographic & clinical data do we need? • Age • Gender • Ethnicity • Disease • Co-morbidity

  18. What measures for QI & outcomes? • Patient problem severity – which problems? • Functional status • Phase of illness • Family care-giving burden These capture complexity … … but none of these are outcome measures!

  19. What measures for QI and outcomes? • Change in problem severity over time • Change in functional status over time • Duration of phase of illness • Change in family caregiving burden Now outcome measures !

  20. Measures proposed 1. Phase of illness – AN-SNAP modified definitions (validation submitted) 2. Functional status – Australian modified Karnofsky Performance Scale – valid, reliable, in cancer & non-cancer, more discriminatory than ECOG 3. Problem severity – Integrated Palliative care Outcome Scale (+ Views on Care) – valid, reliable, sensitive to change, brief 4. Family caregiving burden – Zarit (1 or 6 item) – brief, valid and sensitive to change

  21. What is proposed nationally? 1. Pain score (IPOS) 2. Breathlessness score (IPOS) • 2 time points 3. Anxiety/distress (IPOS) • Assessment date 4. Depressed mood (IPOS) 5. Spiritual/existential distress • Phase of illness (IPOS) • Functional status 6. Family burden (Zarit 1 item) 7. Overall QoL (VOC) plus 8. Are we making a difference? • Patient problem (VOC) severity 9. (Decision-making involvement?) • Family burden 10. Who is assessing items (IPOS)

  22. Why bother with quality & outcome indicators? • Service information – to underpin a service • Service development – inform new directions • Service management – strategic and management decisions • Quality indicator – quality assurance/improvement • Outcome measurement – to show impact • To ensure payment – informing currency or tariff • Research – measuring and evaluating care and interventions, build knowledge to advance practice • National service provision – to present a detailed description of what services are provide nationally

  23. Overcoming the challenges • Why is it needed – winning hearts and minds • Defining and mandating common indicators • Overcoming inconsistent and poor quality data • Defining and applying the denominators (clarity, accuracy and transparency) • Using norms (agreeing standards) • Demonstrating we make a difference – i.e. including outcome measures • Joining it up to gain population-based (not just service-based) understanding • Variable IT capacity and interoperability • Leadership

  24. Thank you for your participation in this workshop, for more information please contact francesca.cooper@kcl.ac.uk or visit our webpage www.csi.kcl.ac.uk/oacc.html This workshop was hosted in partnership with Help the Hospices and we would like to extend our gratitude for their help and contributions

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