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Long Term Conditions Risk Stratification Dr Junaid Bajwa Conway Medical Centre, Greenwich.

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Presentation on theme: "Long Term Conditions Risk Stratification Dr Junaid Bajwa Conway Medical Centre, Greenwich."— Presentation transcript:

1 Long Term Conditions Risk Stratification Dr Junaid Bajwa Conway Medical Centre, Greenwich

2 About me GP Principal, Greenwich RCGP Clinical Commissioning Champion Associate in Public Health, NHS Greenwich Medicine’s Management Lead NHS Greenwich GP Appraiser NHS SEL Chair Greenwich LMC Education Lead GPCC Prepare to Lead alumni, NHS London

3 –The majority of >65s have 2+conditions, & the majority of >75s have 3+ conditions –More people have 2 or more conditions than only have 1 Multimorbidity: LTC

4 Most people with any long term condition have multiple conditions in Scotland

5 The working lunch….. MondayTuesWedsThursFri 0800am 0810am 0820am 0830am 0840am 0850am 0900am 0910am 0920am 0930am 0940am 0950am 1000am 1010am 1020am 1030am 1040am 1050am 1100am 1110am 1120am 1130am 1140am 1150am 1200pm 1210pm 1220pm 1230pm 1600pm 1610pm 1620pm 1630pm 1640pm 1650pm 1700pm 1710pm 1720pm 1730pm 1740pm 1750pm 1800pm 1810pm 1820pm 1830pm 1840pm 1850pm 1900pm What about: QoF/ LES/DES/ CIS/ Additional Services/ Child Protection/ GSF/ Information Governance/ CQC/ PRG/ Practice Meetings/ KPI’s/ Audit: Research/ Reviewing Prescribing/ HR issues/ LMC/ Public Health/ CCG ….( )…. Stepping outside the chaos to manage LTC holistically Proactive, not reactive medicine 16 face to face 10 minute appts Telephone encounters: 5-10 Home visits (2-3) Referrals: 3 (am) Review blood tests/Investigations Post/ Fax/ ( letters per day) 16 face to face 10 minute appts Referrals: 3 (pm)

6 “Exhausting” “Demoralising” “I feel like a wrung-out rag at the end of consultations” “If you’re too caring... you’ll crack up in a place like this. Our boundaries lie where they are because they have to at the moment” GP’s and Nurses in deprived areas struggle with LTC’s

7 "Commodities are fungible, goods tangible, services intangible, and experiences are memorable." (Lee) Proactive management, not reactive Self Management  systematic transfer of some knowledge and power to maximise self- management and choice, where the GP acts as a navigator. Motivating Staff and Patients  Focus on compassion, autonomy, mastery and purpose  (correspondence (personalized, targets individualized), pt experience, face/face, telephone)  How can we do the right thing, but also make the lives of those around us easier at the same time

8 Opportunities & challenges? ‘A pessimist sees the difficulty in every opportunity, … an optimist sees the opportunity in every difficulty’ Sir Winston Churchill

9 Long Term Conditions Module Improving the experience of healthcare for those with long term conditions

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11 Risk Stratification The dilemma of "defining risk" for our patients on long-term conditions –Is it just the number of registers? –What about outside Qof: parkinsons, cirrhosis, inflammatory bowel disease….children…. Existing: –Hospital Admission Risk programme (HARP) High–impact User Manager (HUM) Patient At Risk of Re-hospitalisation (PARR) Probability of repeat admissions (Pra) tool –http://www.yourdiseaserisk.wustl.edu/ Looks at: Cancer/Diabetes/Heart Disease/Osteoporosis/Stroke –http://www.readmissionscore.org/ Heart Attack/ Heart Failure/ Pneumonia

12 What if we used what we have? Metrics HbA1c Cholesterol BP MRC eGFR* BMI Waist circ Audit C score PHQ9 Being Housebound No of repeat Age >75 Being a smoker Long Term Conditions Cancer, COPD, Asthma, Diabetes, CKD 3,4,5, Hypertension, Rh Arthritis, AF, HF, Hypertension, Mental Health condition, LD, Dementia, Parkinsons, Cirrhosis, being on the GSF, Inflammatory Bowel Disease, Stroke/TIA, Osteoporosis

13 What if we used what we have? Metrics HbA1c Cholesterol BP MRC eGFR* BMI Waist circ Audit C score PHQ9 Being Housebound No of repeat Being a smoker Long Term Conditions Cancer, COPD, Asthma, Diabetes, CKD 3,4,5, Hypertension, Rh Arthritis, AF, HF, Hypertension, Mental Health condition, LD, Dementia, Parkinsons, Cirrhosis, being on the GSF, Inflammatory Bowel Disease, Stroke/TIA, Osteoporosis Age >75 (Modifiable) (Fixed)

14 Within the metric….RAG Metrics HbA1c Cholesterol BP MRC eGFR* BMI Waist circ Audit C score PHQ9 Being Housebound No of repeat Age >75 Being a smoker RAG: R-2pts / A-1pt / G-0pt G ( ), A ( ); R (>8.5) > 4:2: A: 1 pt if above this ratio (>150/90; if DM/CKD/CHD >140/90) 1 pt if above G: 3,A: 4, R: 5 G (CKD ); A (CKD ); R (CKD4,5 ie < 29) A: (Obese**) R (:morbid obesity) A: 1 pt if above norm R: (>5) (last recorded within 3m) R: 15-27; A: 5-14 A: 1 point Repeat medications (>5): A 1 pt if above A 1 pt if above 75 A 1pts

15 Managing the chaos: Proactive vs Reactive Cumulative totals within each of the categories would then allow a 360° review of your registered population Could you then establish a set of rules re: appointments; removing the monthly letters for each review/ reduce waste in the system; offer extended appointments with a focus on self management- improving the patient experience GreenAmberRed Dr appts (?around bday) 2/yr3/yr4/yr Nurse appts3/yr4/yr5/yr

16 MSDi LTC Module The software will allocate a R,A,G, status to patients based on: –The number of long term conditions they have –Indicators used to define whether those conditions are optimally managed –No of visits a patient has made to the surgery over the last 12 m –Flexible: to allow for user defined thresholds and weightings to be allocated to each of the above parameters –A care plan will be generated for the patient which will include the number of appointments that a patient will have over the following 12 m which are dedicated to the optimal management of that patients conditions. –The software is practice based –At locality level anonymised data can be aggregated and accessed through a web-based portal, allowing risk to be stratified across a geography.

17 Set-up Rag Rating Criteria

18 Patient Stratification by No. LTCs

19 Patients with RAG rating reasons

20 No. Patient Interactions with in last 12 months

21 % Patients with No. Diseases by Age

22 Patients not controlled

23 PDSA: future add ons PDSA cycle Coding: Number of hospital admissions A(2); R(>3); Quantify length of stay in hospital QRISK®2 calculates your risk of cardiovascular disease(R >30%) (A>20) QDScore® algorithm calculates your risk of Type 2 diabetes.) QoL score (would be useful to include this metric- we do not currently assess this in primary care) Looking at social determinants of health: e.g. personal/ household income, social housing, postcode, use of carers, social isolation “Not all that can be counted, counts. And not all that counts can be counted.” -- Albert Einstein

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25 Personal Health Plan

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28 Improving the Patient Experience SDI. 12.GB SL Date of Preparation: May 2012

29 For More Information: MSDinformatics Stand 171 in main hall Call


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