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Measuring the Quality of Long-Term Care in England Juliette Malley Personal Social Services Research Unit LSE Health and Social Care London School of Economics.

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Presentation on theme: "Measuring the Quality of Long-Term Care in England Juliette Malley Personal Social Services Research Unit LSE Health and Social Care London School of Economics."— Presentation transcript:

1 Measuring the Quality of Long-Term Care in England Juliette Malley Personal Social Services Research Unit LSE Health and Social Care London School of Economics

2 Structure Key players in England Main features of quality assurance programme Quality measures Evidence on quality Limitations of measures

3 Key players – focus of inquiry NHS not focus  LTC is social care not health care  LAs responsible for social care Dual focus on Local Authorities (LAs) + care providers  Quasi-market – LAs commissioners  Private market – social care is means tested

4 Key players – Measurement Policy-makers  Department of Health (DH)  Communities and Local Government department (CLG)  Set policy, QA framework, objectives & what data should be collected Regulator  Care Quality Commission (CQC)  Drive quality improvement Others – limited role  Academics  LAs for contracting purposes

5 Approach to quality assurance (QA) National system supported by legislation Comprehensive ‘Business approach’ Inspections integrated into performance assessment Measures support QA i.e. PIs… …& emerge from QA process i.e. ratings

6 Quality measures What is the object of measurement? How is quality conceptualised? How are the measures specified and by whom? How are the measures used?

7 What is the object of measurement? LAs  Role as commissioners  Role as market-shapers Care providers  Provision by residential providers  Provision by home care providers

8 How is quality conceptualised? ‘Outcomes’ for service users  Improved health & emotional well-being  Improved quality of life  Making a positive contribution  Increased choice and control  Freedom from discrimination or harassment  Economic well-being  Maintaining personal dignity and respect NOT clinical outcomes e.g. pressure ulcers Previous focus on ‘structure’ and ‘process’

9 How are the measures specified and by whom? (1) Performance indicators (PIs)  For LAs only  Quantitative measures  From surveys and data systems  Various types: activity, costs, process & structural quality  No outcomes but new PIs under development  E.g. % of items of equipment and adaptations delivered within 7 working days

10 How are the measures specified and by whom? (2) Composite measures  For LAs and providers  Rating awarded on scale of one to four  Judgement made by CQC inspectors Annual for LAs After key inspection for providers, frequency depends on judgement  Based on mix of qualitative and quantitative data Inspections, management, self-assessment, PIs  Aim to address partial picture presented by PIs

11 How are the measures used? PIs  Support planning process locally  Accountability  Used by CQC in performance assessment  Targets, with financial reward Composite measures  Determine relationship with regulator e.g. frequency of inspections, degree of intervention  Public accountability  Correct information asymmetries – efficient markets

12 What is the quality of LAs?

13 And for providers…

14 And from the user survey data…

15 Limitations of measures (1) Composite measures  Sensitivity questions Averaging across different domains  Reliability/accuracy questions Consistency of inspector judgements Sensitive to rules applied for scoring Policy changes means data & rules used changed over time Not updated annually for good/excellent providers – rely on stability and self-assessment If measures are not sensitive/reliable will/should they be used for commissioning?

16 Limitations of measures (2) PIs  Changes in definitions  Policy changes – new PIs & old dropped  Captures aspects of process to date, not outcomes

17 Limitations of measures (3) Measures used to change behaviour Improvements could be result of pressure applied to improve  e.g. PIs are targets – distribution condenses  e.g. increased monitoring & intervention for poor performers – distribution condenses  e.g. provider ratings for good/excellent not updated annually – tend towards improvement If measures do not have variability are they useful? Independent data would be valuable

18 Conclusions Great start…  National & comprehensive system for QA  National quality measures  Combine ‘soft’ & ‘hard’ data But some questions over accuracy & sensitivity… Some questions over whether these measures are useful for commissioning, particularly in long-run Independent assessment of validity & reliability of national measures would be valuable


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