Ambulatory Emergency Care in. South Wales. Les Ala Royal Glamorgan Hospital. South Wales. AEC meeting Oct 2014

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1 Ambulatory Emergency Care in South Wales Les Ala Royal Glamorgan Hospital South Wales AEC meeting Oct 2014

2 Ambulatory Emergency Care in South Wales Les Ala Royal Glamorgan Hospital South Wales AEC meeting Oct 2014

3 Format Our experience in practicing Ambulatory Care Development of and Use of the Amb Score What we learnt on how to set up an AECU service

4

5 Royal Glamorgan Hospital 2014 Small Acute DGH 570 Beds patients per 24 hours IN TOTAL assessed as unselected medical emergencies/urgent cases

6 Ambulatory Care RGH: Trolleys, 2 Chairs Hybrid Pathway (DVT) Consultant Led Monday Friday 9am 5pm GP / A&E direct referral

7 Challenges of delivering Acute Medicine services at RGH Increase demand Increase referrals for assessment / admission Increase A&E attendance Resource constraints Lack of rapid access OPD/Hot specialty-based clinics Reduction in in-patient beds Inefficiencies Poor physical planning 30 % day-time (same day) discharge from AMU Inappropriate referral to AMU or Ambulatory Care or vice versa

8 Up until 2013 Acute Medical Unit (AMU) Acute Admissions Medical Day Unit (MDU) Ambulatory Care A&E

9 Ambulatory Care RGH: bays (7 trolleys, 2 chairs) Consultant Led Cons SpR FP1 9am 5pm weekdays only

10 Number of Patients Number of patients managed entirely as outpatients (Ambulatory Care) by Acute Medicine Y2000 Y2001 Y2002 Y2003 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 Year

11 What if we had: Better patient selection for ambulatory care AND An ambulatory care unit near AMU BUT Separate from AMU?

12 What if we had: Better patient selection for ambulatory care

13 Who can be managed in Ambulatory Care Strang, G. The concept, delivery and future of medical ambulatory care. Clin Med 2008; 8:

14 OUR STUDY: Selecting AEC patients from the unselected general medical emergency in-take Phase 1: Derivation of the Amb Score Phase 2: Internal Validation

15 Phase 1 Derivation: May / June 2010 What factors determine whether an emergency-referred GP patient is discharged within 12 hours of arrival in hospital? 282 Emergency GP referrals to on-call medics Discharge within 12 hours (Ambulatory Group) 143 Admitted for 48 hours (Admission Group) 139

16 Variable Admission group (%) n=139 Ambulatory group (%) n=143 Odds Ratio (95% CI) P value Adjusted OR (95%CI) Mean age (SD) 71.2(16.2) 57.2(17.5) <0.01 Age (3.6) 16 (11.2) 0.3 ( ) <0.01 Age (4.3) 20(14.0) 0.3( ) <0.01 Age (7.9) 23(16.1) 0.4( ) <0.05 Age (37.4) 13(9.1) 6( ) < ( ) Male sex 61(43.9) 41(28.7) 1.9( ) < ( ) Can eat / drink normally 132 (95) 143 (100) Undefined Ambulant 124 (89.2) 143 (100) Undefined Access to transportation 54 (38.8) 127 (88.8) 0.07( ) < ( ) Family support or carers available 102(73.4) 128 (89.5) 0.3( ) <0.01 IV treatment not anticipated 74 (53.2) 139(97.9) 0.02( ) < ( ) Not acutely confused 121 (87.1) 141(98.6) 0.05( ) < ( ) No new sphincter problems 131 (94.2) 143 (100) Undefined If chest pains, ACS not suspected 128 (92) 131 (91.6) 1.07( ) 0.44 Significant bleed not suspected 136 (97.8) 131 (98.6) 0.5( ) 0.05 No new neurological deficit 119 (85.6) 134 (93.7) 0.4( ) <0.05 Normal temperature 118(84.9) 129(90.2) 0.1( ) <0.01 Normal respiratory rate 128 (92.0) 103 (72.0) 0.9( ) <0.05 Normal oxygen saturation ( 93%) 112(80.6) 126(88.1) 0.15( ) <0.01 Heart rate bpm 135 (97.1) 133 (93.0) 0.5( ) 0.50 Systolic BP mmhg 121 (87.1) 139 (97.2) 0.2( ) <0.01 MEWS 0 70 (50.4) 104 (72.7) 0.4( ) < ( ) MEWS 2 17(12.2) 5 (3.5) 3.8( ) <0.01 MEWS 3 12(8.6) 4 (2.8) 3.3( ) <0.05 MEWS 4 11(7.9) 2 (1.4) 6( ) <0.01 GCS (92.8) 143 (100) Undefined No past history coronary artery disease 74 (53.2) 85 (59.4) 0.8( ) 0.25 No past history of heart failure 87 (62.6) 97 (67.8) 0.6( ) 0.45 No past history of arrhythmia 77 (55.4) 91 (63.6) 0.6( ) 0.12 No past history of diabetes 74 (53.2) 89 (62.2) 0.5( ) 0.07 No past history of stroke or TIA 82 (59.0) 93 (65.0) 04( ) 0.08 No past history of renal disease 79 (56.8) 94 (65.8) 0.5( ) 0.07 No past history of chromic lung disease 65 (46.8) 79 (55.2) 0.6( ) 0.07 Not discharged within previous 30 days 101 (72.7) 125 (87.4) 0.2( ) < ( )

17 Independent variables Variable Admission group (%) n=139 Ambulatory group (%) n=143 P value Adjusted OR (95%CI) Age (37.4) 13(9.1) < ( ) Male sex 61(43.9) 41(28.7) < ( ) Access to transportation 54 (38.8) 127 (88.8) < ( ) IV treatment not anticipated 74 (53.2) 139(97.9) < ( ) Not acutely confused 121 (87.1) 141(98.6) < ( ) MEWS 0 70 (50.4) 104 (72.7) < ( ) Not discharged within previous 30 days 101 (72.7) 125 (87.4) < ( )

18 The Amb Score: Sex Female 0 Male -0.5 Age <80 years 0 80 years -0.5 Access to transport Yes 2 No 0 Will likely need IV Rx No 2 Yes 0 Acutely confused No 2 Yes 0 MEWS MEWS = 0 1 Discharged last 30 days Total (Maximum 8) MEWS 1 0 No 1 Yes 0

19 Phase 2: Internal validation May/June 2011 Can the Amb Score predict discharge within 12 hours of hospital assessment? 343 Emergency GP and A&E referrals to on-call medics Discharge within 12 hours (Ambulatory Group) 115 Admitted for 48 hours (Admission Group) 228 What are the Amb Scores of each patients in EACH Group?

20 Verification of the Amb Score Admission group (%) n=228 Ambulatory group (%) n=115 OR (95% CI) Female sex 97 (42.5) 75 (65.2) 0.4 ( ) p<0.01 Age < (59.6) 108 (93.9) 0.2 ( ) p<0.01 Access to personal / public transport 132 (57.9) 109 (94.8) 0.1 ( ) p<0.01 IV treatment NOT anticipated 82 (40.0) 106 (92.2) 0.1 ( ) p<0.01 NOT acutely confused 198 (86.8) 113 (98.3) 0.1 ( ) p<0.01 MEWS score = 0 72 (31.6) 77 (67.0) 0.2 ( ) p<0.01 NOT discharged within last 30 days 187 (82.0) 106 (92.2) 0.5 ( ) p<0.01 Mean Amb Score (SD) 4.2 (1.8) 7.1 (1.1) p<0.01

21 sensitivity Receiver Operator Curve AUROC 0.91 ( ) specificity If Amb Score 5, patient is more likely to be discharged within 12 hours! Sensitivity: 96% (90-98) Specificity: 62% (55-68)

22 What if we had: An ambulatory care unit near AMU BUT Separate from AMU?

23 Current practice.. AMU 25 Beds (Admissions) AEC Unit 6 Trolleys (Ambulatory Care)

24 Now we have what we asked, can we make it work? 1. Can we increase AECU through put reduce AMU admissions AND

25 Advanced Paramedic GP A&E Who Decides: If thought to be Ambulatory Bed Managers ADMISSION or AMBULATORY 1. GP 2. A&E doctors 3. Bed Managers How to decide: 1. Clinical features 2. Referrer s assessment 3. Amb score...sometimes!!! For Ambulatory Care For Admission AECU AMU Circa January 2014

26 Ambulatory Emergency Care Unit (AECU), Ground Floor near A&E AMU (Ward 6) First Floor above A&E 6 Trolleys 9am to 5pm Mon - Fri 25 Beds Month New Review Total Sep Oct Nov Dec Jan Feb Month Number Sep-13 N/A Oct Nov Dec Jan Feb

27 Where were patients seen? AECU: 20 % Discharged from AMU after PTWR: 30% Total emergency / Urgent referrals (40-50 per day)

28 Is that good enough?

29 Advanced Paramedic If thought to be Ambulatory GP Front Door Triage (NEWS, Amb Score) ADMISSION AMBULATORY or A&E Med SpR / AECU team Who Decides: 1. GP 2. A&E doctors 3. Med SpR 4. Triage Nurse 5. AECU Team How to decide: 1. Clinical features 2. Referrer s assessment 3. Amb score For Ambulatory Care For Admission AECU AMU Circa February 2014

30 So with a) Front Door Triage (including Use of Amb Score) for GP referrals and b) Med SpR taking A&E referrals

31 Changes in new patients numbers SpR taking A&E referrals Amb Score used in front door triage AMU AECU Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14

32 Amb Score prediction for ambulatory care small sample of 98 consecutive GP-referred patients initially for admission but triaged at front door before final decision: Amb score predicts admission (Amb < 5) Amb score predicts ambulatory care (Amb 5) Admitted to AMU Seen in AECU & discharged 17 (36%) 2 (4%) (64%) 49 (96%) 79 Total P<0.001 Total

33 1. Can we increase AECU through put reduce AMU admissions AND Total number admitted to AMU reduced 96% of those that Amb Score predicted ambulatory went to AECU (and discharged) 40 % of GP referrals for admission diverted to AECU (September / October 2014 Data)

34 What other interventions did occur SpR taking A&E referrals Amb Score used in front door triage AMU AECU ACP cover intake 9-5 ACP cover intake 9-5 & morning PTWR 0 Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14

35 What else? If patients were ear-marked for admission (no prior Amb Score calculated at triage), can the Amb Score calculated just before PTWR be used to aid PTWR discharge?

36 PTWR discharge rates with and without Amb Score (after admission) June / July PTWR No Amb Score 113 Amb Score (calculated just prior to ACP PTWR) % discharge (Dr X 35%) 36% discharge (Dr X 42%)

37 Why not see more patients in AECU? - time of arrivals (beyond our control) 6 GP referrals arriving by Ambulance GP referrals arriving by own transport

38 Things that worked for us Co-location BUT separate Ambulatory (AECU) versus Admissions (AMU) 2 different teams (Acute Medicine vs on -call team) Front door triage for GP referrals SpRs taking A&E referrals?acps cover intake 9-5?ACP doing morning PTWR on night admissions

39 Future Plans: Enhance Front Door Triage (Staff, Space, Time)? Extend hours of business Encourage A&E / Med SpR / GPs to think of Ambulatory Care Enhance direct Paramedic referral to AECU?Extend AECU opening hours

40 GP and A&E reminder Cards

41 Ambulatory Care..what we learnt on how to set it up Location, location, location Ideally close to A&E & AMU (?separate?integrated) Waiting facilities Consulting rooms Trolleys People Enthusiastic capable clinicians, nurse practitioners, nurses, PA, OT & Physio, Discharge liaison input Clerical staff Senior management Diagnostic support Pathology Radiology ETT / ECHO / PFT Pharmacy Clinical guidelines / pathways / patient flow processes Who to take the calls? Who / How to decide if Ambulatory Referral pathways to specialists Clinical Outcomes & Process Measures with robust IT support Activity Re-admission rates (including UNEXPECTED admission from AECU) Patient satisfaction Cost savings

42 Summary Our process (and challenges we faced) in managing Acute & Emergency Medicine patients Simple tool that helps in AEC management in OUR locality If you think it might help you, please try it out. Our experience in setting up our AECU.

43 Diolch yn fawr Any questions?

44 Format Our experience in practicing Ambulatory Care Development of and Use of the Amb Score What we learnt on how to set up an AECU service

45

46 Royal Glamorgan Hospital 2014 Small Acute DGH 570 Beds patients per 24 hours IN TOTAL assessed as unselected medical emergencies/urgent cases

47 Ambulatory Care RGH: Trolleys, 2 Chairs Hybrid Pathway (DVT) Consultant Led Monday Friday 9am 5pm GP / A&E direct referral

48 Challenges of delivering Acute Medicine services at RGH Increase demand Increase referrals for assessment / admission Increase A&E attendance Resource constraints Lack of rapid access OPD/Hot specialty-based clinics Reduction in in-patient beds Inefficiencies Poor physical planning 30 % day-time (same day) discharge from AMU Inappropriate referral to AMU or Ambulatory Care or vice versa

49 Up until 2013 Acute Medical Unit (AMU) Acute Admissions Medical Day Unit (MDU) Ambulatory Care A&E

50 Ambulatory Care RGH: bays (7 trolleys, 2 chairs) Consultant Led Cons SpR FP1 9am 5pm weekdays only

51 Number of Patients Number of patients managed entirely as outpatients (Ambulatory Care) by Acute Medicine Y2000 Y2001 Y2002 Y2003 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 Year

52 What if we had: Better patient selection for ambulatory care AND An ambulatory care unit near AMU BUT Separate from AMU?

53 What if we had: Better patient selection for ambulatory care

54 Who can be managed in Ambulatory Care Strang, G. The concept, delivery and future of medical ambulatory care. Clin Med 2008; 8:

55 OUR STUDY: Selecting AEC patients from the unselected general medical emergency intake Phase 1: Derivation of the Amb Score Phase 2: Internal Validation

56

57 Variable Admission group (%) n=139 Ambulatory group (%) n=143 Odds Ratio (95% CI) P value Adjusted OR (95%CI) Mean age (SD) 71.2(16.2) 57.2(17.5) <0.01 Age (3.6) 16 (11.2) 0.3 ( ) <0.01 Age (4.3) 20(14.0) 0.3( ) <0.01 Age (7.9) 23(16.1) 0.4( ) <0.05 Age (37.4) 13(9.1) 6( ) < ( ) Male sex 61(43.9) 41(28.7) 1.9( ) < ( ) Can eat / drink normally 132 (95) 143 (100) Undefined Ambulant 124 (89.2) 143 (100) Undefined Access to transportation 54 (38.8) 127 (88.8) 0.07( ) < ( ) Family support or carers available 102(73.4) 128 (89.5) 0.3( ) <0.01 IV treatment not anticipated 74 (53.2) 139(97.9) 0.02( ) < ( ) Not acutely confused 121 (87.1) 141(98.6) 0.05( ) < ( ) No new sphincter problems 131 (94.2) 143 (100) Undefined If chest pains, ACS not suspected 128 (92) 131 (91.6) 1.07( ) 0.44 Significant bleed not suspected 136 (97.8) 131 (98.6) 0.5( ) 0.05 No new neurological deficit 119 (85.6) 134 (93.7) 0.4( ) <0.05 Normal temperature 118(84.9) 129(90.2) 0.1( ) <0.01 Normal respiratory rate 128 (92.0) 103 (72.0) 0.9( ) <0.05 Normal oxygen saturation ( 93%) 112(80.6) 126(88.1) 0.15( ) <0.01 Heart rate bpm 135 (97.1) 133 (93.0) 0.5( ) 0.50 Systolic BP mmhg 121 (87.1) 139 (97.2) 0.2( ) <0.01 MEWS 0 70 (50.4) 104 (72.7) 0.4( ) < ( ) MEWS 2 17(12.2) 5 (3.5) 3.8( ) <0.01 MEWS 3 12(8.6) 4 (2.8) 3.3( ) <0.05 MEWS 4 11(7.9) 2 (1.4) 6( ) <0.01 GCS (92.8) 143 (100) Undefined No past history coronary artery disease 74 (53.2) 85 (59.4) 0.8( ) 0.25 No past history of heart failure 87 (62.6) 97 (67.8) 0.6( ) 0.45 No past history of arrhythmia 77 (55.4) 91 (63.6) 0.6( ) 0.12 No past history of diabetes 74 (53.2) 89 (62.2) 0.5( ) 0.07 No past history of stroke or TIA 82 (59.0) 93 (65.0) 04( ) 0.08 No past history of renal disease 79 (56.8) 94 (65.8) 0.5( ) 0.07 No past history of chromic lung disease 65 (46.8) 79 (55.2) 0.6( ) 0.07 Not discharged within previous 30 days 101 (72.7) 125 (87.4) 0.2( ) < ( )

58 Independent variables Variable Admission group (%) n=139 Ambulatory group (%) n=143 P value Adjusted OR (95%CI) Age (37.4) 13(9.1) < ( ) Male sex 61(43.9) 41(28.7) < ( ) Access to transportation 54 (38.8) 127 (88.8) < ( ) IV treatment not anticipated 74 (53.2) 139(97.9) < ( ) Not acutely confused 121 (87.1) 141(98.6) < ( ) MEWS 0 70 (50.4) 104 (72.7) < ( ) Not discharged within previous 30 days 101 (72.7) 125 (87.4) < ( )

59 The Amb Score: Sex Female 0 Male -0.5 Age <80 years 0 80 years -0.5 Access to transport Yes 2 No 0 Will likely need IV Rx No 2 Yes 0 Acutely confused No 2 Yes 0 MEWS MEWS = 0 1 Discharged last 30 days Total (Maximum 8) MEWS 1 0 No 1 Yes 0

60 Phase 2: Internal validation May/June 2011 Can the Amb Score predict discharge within 12 hours of hospital assessment? 343 Emergency GP and A&E referrals to on-call medics Discharge within 12 hours (Ambulatory Group) 115 Admitted for 48 hours (Admission Group) 228 What are the Amb Scores of each patients in EACH Group?

61 Verification of the Amb Score Admission group (%) n=228 Ambulatory group (%) n=115 OR (95% CI) Female sex 97 (42.5) 75 (65.2) 0.4 ( ) p<0.01 Age < (59.6) 108 (93.9) 0.2 ( ) p<0.01 Access to personal / public transport 132 (57.9) 109 (94.8) 0.1 ( ) p<0.01 IV treatment NOT anticipated 82 (40.0) 106 (92.2) 0.1 ( ) p<0.01 NOT acutely confused 198 (86.8) 113 (98.3) 0.1 ( ) p<0.01 MEWS score = 0 72 (31.6) 77 (67.0) 0.2 ( ) p<0.01 NOT discharged within last 30 days 187 (82.0) 106 (92.2) 0.5 ( ) p<0.01 Mean Amb Score (SD) 4.2 (1.8) 7.1 (1.1) p<0.01

62 sensitivity Receiver Operator Curve AUROC 0.91 ( ) specificity If Amb Score 5, patient is more likely to be discharged within 12 hours! Sensitivity: 96% (90-98) Specificity: 62% (55-68)

63 What if we had: An ambulatory care unit near AMU BUT Separate from AMU?

64 Current practice.. AMU 25 Beds (Admissions) AEC Unit 6 Trolleys (Ambulatory Care)

65 Now we have what we asked, can we make it work? 1. Can we increase AECU through put AND reduce AMU admissions

66 Advanced Paramedic GP A&E Who Decides: If thought to be Ambulatory Bed Managers ADMISSION or AMBULATORY 1. GP 2. A&E doctors 3. Bed Managers How to decide: 1. Clinical features 2. Referrer s assessment 3. Amb score...sometimes!!! For Ambulatory Care For Admission AECU AMU Circa January 2014

67 Ambulatory Emergency Care Unit (AECU), Ground Floor near A&E AMU (Ward 6) First Floor above A&E 6 Trolleys 9am to 5pm Mon - Fri 25 Beds Month New Review Total Sep Oct Nov Dec Jan Feb Month Number Sep-13 N/A Oct Nov Dec Jan Feb

68 Where were patients seen? AECU: 20 % Discharged from AMU after PTWR: 30% Total emergency / Urgent referrals (40-50 per day)

69 Is that good enough?

70 Advanced Paramedic If thought to be Ambulatory GP Front Door Triage (NEWS, Amb Score) ADMISSION AMBULATORY or A&E Med SpR / AECU team Who Decides: 1. GP 2. A&E doctors 3. Med SpR 4. Triage Nurse 5. AECU Team How to decide: 1. Clinical features 2. Referrer s assessment 3. Amb score For Ambulatory Care For Admission AECU AMU Circa February 2014

71 So with a) Front Door Triage (including Use of Amb Score) for GP referrals and b) Med SpR taking A&E referrals

72 Changes in new patients numbers SpR taking A&E referrals Amb Score used in front door triage AMU AECU Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14

73 Amb Score prediction for ambulatory care small sample of 98 consecutive GP-referred patients initially for admission but triaged at front door before final decision: Amb score predicts admission (Amb < 5) Amb score predicts ambulatory care (Amb 5) Admitted to AMU Seen in AECU & discharged Total 17 (36%) 2 (4%) (64%) 49 (96%) 79 Total P<0.001

74 1. Can we increase AECU through put AND reduce AMU admissions Total number admitted to AMU reduced 96% of those that Amb Score predicted ambulatory went to AECU (and discharged) 40 % of GP referrals for admission diverted to AECU (September / October 2014 Data)

75 What other interventions did occur SpR taking A&E referrals Amb Score used in front door triage AMU AECU ACP cover intake 9-5 ACP cover intake 9-5 & morning PTWR Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14

76 What else? If patients were ear-marked for admission (no prior Amb Score calculated at triage), can the Amb Score calculated just before PTWR be used to aid PTWR discharge?

77 PTWR discharge rates with and without Amb Score (after admission) June / July PTWR No Amb Score 113 Amb Score (calculated just prior to ACP PTWR) % discharge (Dr X 35%) 36% discharge (Dr X 42%)

78 Why not see more patients in AECU? - time of arrivals (beyond our control) 6 GP referrals arriving by Ambulance GP referrals arriving by own transport

79 Things that worked for us Co-location BUT separate Ambulatory (AECU) versus Admissions (AMU) 2 different teams (Acute Medicine vs on -call team) Front door triage for GP referrals SpRs taking A&E referrals?acps cover intake 9-5?ACP doing morning PTWR on night admissions

80 Future Plans: Enhance Front Door Triage (Staff, Space, Time)? Extend hours of business Encourage A&E / Med SpR / GPs to think of Ambulatory Care Enhance direct Paramedic referral to AECU?Extend AECU opening hours

81 GP and A&E reminder Cards

82 Ambulatory Care..what we learnt on how to set it up Location, location, location Ideally close to A&E & AMU (?separate?integrated) Waiting facilities Consulting rooms Trolleys People Enthusiastic capable clinicians, nurse practitioners, nurses, PA, OT & Physio, Discharge liaison input Clerical staff Senior management Diagnostic support Pathology Radiology ETT / ECHO / PFT Pharmacy Clinical guidelines / pathways / patient flow processes Who to take the calls? Who / How to decide if Ambulatory Referral pathways to specialists Clinical Outcomes & Process Measures with robust IT support Activity Re-admission rates (including UNEXPECTED admission from AECU) Patient satisfaction Cost savings

83 Summary Our process (and challenges we faced) in managing Acute & Emergency Medicine patients Simple tool that helps in AEC management in OUR locality If you think it might help you, please try it out. Our experience in setting up our AECU.

84 Diolch yn fawr Any questions?

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