TABLE 17

Results of expert panel assessment of all potential measures

ID codeMeasureIs it important?Does it require risk adjustment?Include/exclude
WS6aTime of call to time of arrival at scene (response time). Proportion of emergency calls with a response time within an agreed standardResponse time is important but the arbitrary standard is not. Response time is important to patients, in terms of panic and anxiety. Response time is also related to outcome: shorter time = better outcomes, all things being equal. Overall, response time was judged important because of its relationship to the patient. However, if we have another measure in the list that is better, this will supersede this oneWe would risk adjust to ensure fair comparisons, for example for an ambulance service which covers a large geographical area compared with a small area. Response times are already compared nationally without risk adjustment; therefore, there is no need to risk adjust here. We should use the mean or median response time. Mean of log or geometric meanInclude in workstream 4, no risk adjustment
WS6eiProportion of eligible calls who arrive at definitive care within agreed timescales, for example a specialist heart attack centre within 150 minutes, a specialist stroke centre within 60 minutes, a major trauma centre within 45 minutesThis is important as time frame is related to a successful outcome. This could include the 8-minute response time for OHCAA success is arriving in the right place (alive). It is not necessary to risk adjust if this measure is concerned with getting patients to the right place, but if it is for treatment we may want to case-mix adjust for the proportion that could benefit from treatment:
  1. People with these conditions should get to an assessment centre to see if they can benefit from treatment
  2. Time is measured until the patient handover end point
Include in workstream 4, no risk adjustment
CM1bNumber of calls prioritised correctly to appropriate level of response as a proportion of all 999 calls

Should this be the number of all calls prioritised correctly or do we want the number of serious calls that were prioritised correctly?

Calls coded green that are left too long will be picked up in the mean response time measure

Just take the serious emergency conditions (16 conditions)

Superseded by CM1c – better measure
CM1cProportion of life-threatening category A calls correctly identified as category AChange this to calls for serious emergency conditions and use 16 conditions. Clarify what the 16 conditions are

We need to adjust for case mix. Some measures are difficult to categorise and others easy, for example ruptured aneurysm or OHCA

We will adjust for case mix to level the playing field

We will adjust for age

Include in workstream 3, for risk adjustment
CM2aProportion of all cases with a specific condition who are treated in accordance with established protocols and guidelines, for example stroke, heart attack, diabetes mellitus, falls (specify which of these or other conditions you think are important)This is current CQI for five conditions and is important (asthma, STEMI, stroke, OHCA?)

The CQIs are not risk adjusted

The question here is whether or not patients with specific conditions were given the agreed best treatment. Therefore, there is no need to risk adjust

Query – should we send a list of conditions that we are not risk adjusting for to ambulance services to ask them if they were performing badly on this measure, what would their excuse be?

Include in workstream 4, no risk adjustment
PO5cProportion of patients with a life-threatening condition who are discharged alive from hospital

Use the 16 serious emergency conditions as the life-threatening conditions

This is important to patients

What about hospital effects?

HSMR looks at the proportion of patients who die in hospital. Do we need to split this into prehospital and hospital components?

If we have the HSMR we also need the prehospital SMR for all serious conditions. This is the proportion of deaths that occur before admission to a bed

The HSMR is the proportion that die in hospital

The system HSMR is the proportion that die before discharge

HSMR is case-mix adjusted, so the PHSMR and the SHSMR will case-mix adjustedInclude in workstream 3, for risk adjustment
PO1aProportion of all patients seen by an ambulance crew who have a pain assessment recordedThis is an explanatory variable for PO1cSuperseded by PO1c
PO1bProportion of patients who report pain who are given pain reliefThis is an explanatory variable for PO1cSuperseded by PO1c
PO1cProportion of patients who have a reduction in pain score after analgesia treatment

Should this be the mean reduction in pain (adjusted for time)?

Remove after analgesia as other treatments, for example splints, can reduce pain

Risk adjust for conditions, age and time

We could start on this with just the ambulance data

There may be high proportions of missing data as this measure requires two pain readings. We need to determine what to do with missing data

We need a model with everything that is outside the ambulance control first

Include in workstream 3, for risk adjustment
PO1dProportion of patients reporting pain who have more than one pain score recordedThis is an explanatory variable for PO1cSuperseded by PO1c
WS6eTime of call to time to definitive careToo vague. Superseded by WS6eiSuperseded by WS6ei
PO6aProportion of all 999 calls re-contacting the ambulance service within 24 hoursThe definition of re-contacts needs to be clearer. This should be re-contacts for all patients who were not conveyed to hospital. This is because patients who are conveyed to hospital may be discharged and re-contact the ambulance serviceSuperseded by PO6c
PO6cProportion of patients left at home who have a contact with any emergency/urgent health service within 24 hours

This supersedes all other re-contact measures. Left at home = ’see and treat’ or ‘hear and treat’

Is a low rate good?

This needs a reciprocal measure about patients who are taken to ED and not treated/admitted

Risk adjust for age

Time frame = 24 hours

Include in workstream 3, for risk adjustment
CM2cProportion of all cases with a specific condition who meet the established criteria for transfer, who are transported to an appropriate specialist facility, for example a heart attack, stroke or major trauma centreThis is covered by WS6e1Superseded by WS6e1
PO5a_iProportion of 999 callers who die within: i. 0–48 hours of first callWe want to look at the proportion of 999 callers who die from specific causes within a specified time frame, where death was avoidable. We need to identify conditions where patients should not die. Look at the cause of death for patients in our sample and identify those that are preventable, for example hypothermia within 24 hours of callAdjust for ageInclude in workstream 3, for risk adjustment
WS3bProportion of category A calls attended by a paramedicNot importantExclude
WS3cProportion of patients who are treated on scene or left at home who are referred to an appropriate pathway or primary care

Is it the non-conveyance rate?

Non-conveyance who are referred

Not important

Exclude
WS2aNumber of life-threatening (category A) calls not identified as category A as a proportion of all 999 callsThis is important but is the opposite of a measure that is already included (CM1c). Therefore this will be measured as part of CM1cSuperseded by CM1c
WS3fProportion of patients who potentially could be left at home who are successfully discharged at the sceneBetter measures exist for this. It is difficult to know what the denominator is. We want to look at people who are transported and not having anything done. Superseded by WS3eSuperseded by WS3e
WS3eProportion of patients transported to ED by 999 emergency ambulance and discharged without treatment or investigation(s) that needed hospital facilitiesThis is important and supersedes other measures? Not sureInclude
CM1aProportion of all calls referred for telephone advice returned for a 999 ambulance responseThis relates to efficiency. This was highly scored in the Delphi as is easy to measure, but is not importantExclude
PO3aProportion of patients with cardiac arrest where resuscitation is attempted at the incident scene who have a pulse on arrival at the ED

ROSC is one of the CQIs

There is scope for ROSC to be improved. Use in the 16 emergency conditions as a bundle but need to look at adjusted time to hospital discharge. This will give ROSC, survival to discharge and the system SMR

What about non-transports? Can we pick these up?

Needs to be adjusted for rhythm, witnessing, bystander CPR and adrenaline
PO6bProportion of all 999 calls referred for telephone advice only re-contacting the ambulance service within 24 hoursThere are other re-contact measures that are betterSuperseded by PO6c
PO6eProportion of patients left at home who are admitted to hospital within 72 hoursLeft at home = ’hear and treat’ and ‘see and treat’ patients. We are interested in the proportion of patients who are not conveyed who are admitted to hospital. This could be part of a re-contacts set of measures. Include for the moment, but may be droppedRisk adjust for age, condition type, avoidable emergency conditions. It is impossible to know where the hospital contact is for the same condition, or the extent to which the two are linked; therefore, we will assume that admissions within 3 days are relatedInclude in workstream 3, for risk adjustment
R2_WS6a_2_3_Not importantExclude
WS6a_1Proportion of emergency calls with a response time within an agreed standard for calls for life-threatening conditionsThis is dealt with by another measureExclude. Superseded by WS6a
WS2bNumber of calls that are not life-threatening identified as category A calls as a proportion of all 999 callsWe have another measure that looks at the opposite side of this (CM1c)Exclude. Superseded by CM1c
CM1dProportion of calls for a specific condition correctly identified at the time of the call, e.g. cardiac arrest, stroke, heart attackThis is about accuracy and recognising conditions. The ambulance AMPDS code is not diagnostic and you would need to relate the AMPDS code to the admission code. This is of low importance and very difficult to verify, and can already be measured using similar measures that are already included. For example, with STEMIs sent to right placeExclude. Superseded by WS6Ei and CM1c
CM2bProportion of cases that comply with end-of-life care plans when these are availableThis is important but not currently measurable. ePRFs should record whether or not there is an end-of-life care planExclude
WS6dTime of call to CPR start time when CPR is required. Average time from call to start of CPR in cases of cardiac arrestThis is explanatory data for ROSC and survival and is a problem with bystander CPR. This is an explanatory process and not an outcomeExclude
CM1eNumber of people attended within the scope of advanced paramedic practice (treat and leave at home) as a proportion of all people attended on sceneWe cannot measure this as we do not know who the paramedics are. This measure is related to efficiency and is not important here. However, this links to policy because if the Keogh report70 becomes standard, more people will be left at home and ambulance services will need to have sufficient paramedics to deal with the demandExclude
CM3aNumber of ‘never events’ reported as a proportion of all requests for 999 ambulance care (never events applicable to the ambulance service include administration of drugs by the wrong route and failure to monitor and respond to reduced oxygen saturation)Never events are already recorded. This does not come into the scope of the PhOEBE programme as not performance measuresExclude
CM3bNumber of patient safety incidents reported as a proportion of all requests for 999 ambulance careSame as CM3aExclude
PO2cProportion of patients who report that key aspects of care were delivered. (Examples of key aspects are timeliness of response, reassurance, professionalism, communication, smooth transition between different services or parts of the same service)Not measured routinely. No patient satisfaction or experience measuresExclude
PO2dProportion of patients who were satisfied with the overall service and separate components, for example the 999-call handling, attending ambulance crewsNot measured routinely. No patient satisfaction or experience measuresExclude
PO5dProportion of patients with a specific clinical condition (e.g. stroke, heart attack, cardiac arrest) who are discharged alive from hospitalA mass measure would be for the 16 emergency conditions, but we may want to split this for specific conditions. This relates to PO5c and is part of a setAdjust for case mix?Include in workstream 3, for risk adjustment
R2_WS6a_2-25Proportion of emergency calls for conditions that are not life-threatening with a response time of ≤ 25 minutesThis is not a measureExclude
R2_WS6a_4Proportion of emergency calls for life-threatening conditions with a response time of < 4 minutes (+ 4 minutes exact)This applies only to cardiac arrest and we are looking at this in another measureExclude
R2_WS6a_4_8Proportion of emergency calls for life-threatening conditions with a response time of between 4 and 8 minutesThis applies only to cardiac arrest and we are looking at this in another measureExclude
R2_WS6E_3NoExclude
WS1aNumber of completed patient clinical records as a proportion of all cases attended by the ambulance service in accordance with minimum agreed data setThis is a data completeness measureExclude
WS3aNumber of calls transferred for telephone clinical advice assessment that are completed with self-care advice or referral to an appropriate service as a proportion of all calls transferred for clinical adviceThis is an efficiency measure. This is superseded by other measuresExclude
WS3dProportion of all calls who receive an ambulance response who are not conveyed to hospital or other health service facilitiesThis is the non-conveyance rate. This is being looked at by VANExclude
WS4aProportion of staff who comply with mandatory training requirements for basic and advanced life support (BLS and ALS)No. This is a service management measureExclude
WS4bProportion of operational staff trained as paramedicsNo. This is a service management measureExclude
WS4cProportion of paramedics with advanced practitioner trainingNo. This is a service management measureExclude
WS5aUnit-hour utilisation for the whole service (a unit-hour is a fully staffed ambulance for 1 hour). For any given time period, a service will have multiple unit-hours available. Unit-hour utilisation is how many of those hours are used within that time period

Unit-hour utilisation works on the premise that calls are spread evenly and there are no spikes

No. This is a service management measure

Exclude
WS5bUnit-hour utilisation for urban areas – compared with agreed utilisationNo. This is a service management measureExclude
WS5cUnit-hour utilisation for rural areas – compared with agreed utilisationNo. This is a service management measureExclude
WS6a_2Proportion of emergency calls with a response time within an agreed standard for calls for non-life-threatening conditionsThis will be covered by other measures (WS6a)Exclude. Superseded by WS6a
WS6e_2Proportion of eligible calls who arrive at a specialist stroke centre within 60 minutesThis is covered by CM1cExclude. Superseded by CM1c

ALS, advanced life support; BLS, basic life support; CPR, cardiopulmonary resuscitation; CQI, care quality indicator; HSMR, hospital standardised mortality ratio; OHCA, out-of-hospital cardiac arrest; ROSC, return of spontaneous circulation; SMR, standardised mortality ratio; STEMI, ST segment elevation myocardial infarction; VAN, variation in non-conveyance.

From: Appendix 2, Assessment criteria for identifying indicator set

Cover of Developing new ways of measuring the quality and impact of ambulance service care: the PhOEBE mixed-methods research programme
Developing new ways of measuring the quality and impact of ambulance service care: the PhOEBE mixed-methods research programme.
Programme Grants for Applied Research, No. 7.3.
Turner J, Siriwardena AN, Coster J, et al.
Southampton (UK): NIHR Journals Library; 2019 Apr.
Copyright © Queen’s Printer and Controller of HMSO 2019. This work was produced by Turner et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This issue may be freely reproduced for the purposes of private research and study and extracts (or indeed, the full report) may be included in professional journals provided that suitable acknowledgement is made and the reproduction is not associated with any form of advertising. Applications for commercial reproduction should be addressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK.

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