Reporting Outcomes with MHCT

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Presentation transcript:

Reporting Outcomes with MHCT A Categorical Change ‘Dashboard’

Outcomes Analyses We want to: Embed the routine measurement, analysis and feeding back of clinical outcomes to frontline teams Improve clinical effectiveness through reflective practice, shared learning, identifying gaps in service, training needs etc. Support re-organisation and changing priorities

Is there any evidence we make a difference? For several years we have been recording HoNOS (MHCT) scores at key times during patients’ pathway through our services: At first assessment When there is a significant change in need e.g. admission At CPA At discharge Comparing a patient’s scores gives us a measure of our effectiveness

3 ways of showing change in HoNOS Mean total score But conflates scales getting worse and getting better HoNOS Four Factor But conflates change within each scale getting worse and getting better Changes from score of 4 to 3 equated with, and neutralised by, changes from 0 to 1 Categorical change method But arbitrary cut-off point

Categorical approach to showing change in each HoNOS scale score Start of episode End of episode Low Severity MHCT scores and classification 0: No problem 1: Subclinical problems 2: Mild problems Low Severity Outcome: Remained stable High Severity Outcome: Reliable deterioration High Severity MHCT scores and classification 3: Moderate problem 4: Severe to very severe problems Low Severity Outcome: Reliable improvement High Severity Outcome: Remained highly unwell Predicated upon Reliable gulf between scores of 2 and below, and 3 and above

Reassessing the cut-off Does basing ‘change’ on a scoring threshold of 2 or below to 3 or above impact on reported outcomes? Is an improvement in MHCT score from 2 to 0, or deterioration from 0 to 2 significant? If clinicians tend to ‘under-score’ then this change would be missed Would ‘change’ based on 2 MHCT points be more appropriate and reliable (a change from 3 to 2 may not be ‘significant’ but the result of poor inter-rater reliability

Calculating change based on a vlookup MHCT Score Categorical Change 0-0 Remains Stable 0-1 0-2 Reliable Deterioration 0-3 0-4 1-0 1-1 1-2 1-3 1-4 2-0 Reliable Improvement 2-1 2-2 2-3 2-4 3-0 3-1 3-2 3-3 Remains Highly Unwell 3-4 4-0 4-1 4-2 4-3 4-4

The resulting Excel table

The finished Dashboard

What are the issues Have not completed a comparison between approaches to determine impact of changing the ‘cut-off’ This data extract was based on SU’s discharged between 1/4/15 and 30/9/15, however: Of 5577 service users discharged, only 2803 (50%) had 2 MHCTs completed Of those only 527 had a discharge MHCT completed within 30 days of the recorded discharge date

Concluding Thoughts Does changing to a 2 point difference in MHCT points a more accurate reflection of change? Do we have the right data extract? How often do we run the report? How do we close the loop? Is this dashboard accessible to clinicians? What level do you drill down into it? How do we deal with the data issues?