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David RP Terry
SPACER
Dr David Terry
david.terry@bch.nhs.uk
David RP Terry
Study into Paediatric
Advanced Clinical
Electronics - Prescribing
Dr David Terry
david.terry@bch.nhs.uk
David RP Terry
Background to
BCH & EPMA
David RP Terry
Over 270,600 patient
visits every year
361 beds
43,151 inpatient
admissions each year
David RP Terry
£10M annual drug
spend
200,000 drug
transactions per
year.
David RP Terry
Hand written
drug-charts!
David RP Terry
Developing eRx’ing
EPMA – 5yrs
PICs
… built at UHB, but
excludes children.
David RP Terry
Prescribing
Information and
Communications
System
Safety
Quality
Resources
David RP Terry
Prescribe Supply Administer
Medication Process
David RP Terry
Medication errors up to
13%?
2/3 IV’s not given
according to guidance.
Prescribe Supply Administer
David RP Terry
SPACER
Aims: To identify the benefits and
disbenefits of EPMA compared to
paper-based system
David RP Terry
SPACER
• Before, during and after study
• 3 years
• 3 strands
David RP Terry
SPACER
Ethnographic
Data
Envelopment
Analysis
Drugs Data
Decisions (3D)
David RP Terry
Ethnographic
Data
Envelopment
Analysis
Drugs Data
Decisions (3D)
• Safety
• Quality
• Resources
• Culture
• Technology
• Processes
• Organisation structure
David RP Terry
Ethnographic
Data
Envelopment
Analysis
Drugs Data
Decisions (3D)
• Safety
• Quality
• Resources
• Culture
• Technology
• Processes
• Organisation structure
David RP Terry
Safety
Quality
Resources
Strand A
Ethnographic strand
Mixed method –
Qualitative and
Quantitative study
Observe the organisational
change, explore staff
perspectives of doctors,
nurses and pharmacists as e-
prescribing is implemented
Strand B Efficiency
– “DEA model”
strand
DEA – Data Envelopment
Analysis
What is the impact of e-
prescribing on the
efficiency of the services?
Strand C – 3D study –
Drugs, Data, Decisions
What Key Performance
Measures does the hospital
measure before implementation
of e-prescribing, how much
resources are used to generate
it?
What will be measured during
and after implementation?
Culture
Technology
Processes
Structure
Pre-
implementation
(year 1)
Peri-
implementation
(year 2)
Post-
implementation
(year 3)
David RP Terry
SPACER 3D – Drugs, Data, Decisions
Background
• BCH uses currently available data - define and
measure progress towards organisational goals
• Surveillance and audits are used to support
medication governance … via an organisational
structure.
• Enables decision making.
David RP Terry
SPACER 3D – Drugs, Data, Decisions
Questions:
What data / metrics are used?
How are they used?
How will EPMA change this?
David RP Terry
SPACER 3D
Aims and objectives
-To observe the relevant metrics before, during and
after implementation of electronic prescribing.
-To identify changes to metrics, processes, reporting
systems and decision making, in relation to the
medication process.
David RP Terry
SPACER 3D
Aims and objectives
-Capture metrics … catalogue being assembled
-By analysing the documentation and reports in
circulation during the three periods of transition
DATA - Identify the medication related changes that
occur.
PROCESSES - Identify process (report) changes
due to EPMA
REPORTS - Observe committee oversight &
responses to reports.
David RP Terry
BCH Medicines Governance Structure
Trust Board
CRAC
DTC
Medicines Safety Committee
Antimicrobials
Non-medical prescribing
Data - KPIs and Metrics
David RP Terry
SPACER 3D – Drugs, Data, Decisions
Pre- implementation Peri- implementation Post
implementation
KPI manager
Interview – document
field notes + record
resources required
Selection
Gathering
Processed
Reported
Catalogue of
KPIs with X
domains
monitored
Catalogue of KPIs
with X domains
monitored – X
obsolete + Y
domains
incorporated (in
anticipation to
implementation)
Method
KPI manager
Interview – document
field notes + record
resources required
Selection
Gathering
Processed
Reported
KPI manager
Interview – document
field notes + record
resources required
Selection
Gathering
Processed
Reported
Catalogue of KPIs
with X domains
monitored –
(Xobsolete + Y
obsolete) + Y
domains + Z
domains
David RP Terry
SPACER 3D
Expected outputs
• An increase in clarity in how data is used.
• Reduction in the time and resources recorded to produce the
audits.
• Develop metrics not available in paper system.
• The quality and depth of information from the reports may
improve.
• Identification of novel underlying problems within the system
that cannot be measured under the current paper system.
David RP Terry
No Domain/KPI
1 Nursing quality indicators
2a Drug Chart audits
2b Jeff Martin exercise
3
Medication (not Patient) Safety
thermometer
4 Incident reporting IR1 / SUI
5 Antibiotics usage
6 Surgical Prophylaxis
7a Antibiotics TDM Audit
7b Respiratory TDM Audit
8
Restricted antibiotic usage (BCH
Formulary)
9
Point prevalence surveys,
comparators.
10 PAU / MAU antibiotic prescribing
11 PN usage
12 Dispensaries activity
13
Dispensary errors, both internal
and external
14 Medicines Information - activity.
15
Pharmacist interventions -
frequency
16 Nurse interventions
17
Pharmacy Technician
interventions (administration of
drugs).
18 Pharmacy end of month reports
No. Domain/KPI
(NB Check if official title)
a Contact
b Selection – What
c Population scope/subset
d Gathering: Who/how/technology
e Frequency & Duration
f Location
g Processed (by):
h Reported (To)
i Who uses it
j Follow up – what is done as a result
k Does it relate to procedures?
l General Comment
m Type
Overlays to consider
Healthcare Service Measures
Safety
Quality
Resources
Organisation Change/Business Measures
Culture Changes
Technology
Processes
Structure
Also
Costs
Example output obtained?

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Clahrc ps cmeeting_21st_sept2015_spacer_project_dt

  • 1. David RP Terry SPACER Dr David Terry david.terry@bch.nhs.uk
  • 2. David RP Terry Study into Paediatric Advanced Clinical Electronics - Prescribing Dr David Terry david.terry@bch.nhs.uk
  • 4. David RP Terry Over 270,600 patient visits every year 361 beds 43,151 inpatient admissions each year
  • 5. David RP Terry £10M annual drug spend 200,000 drug transactions per year.
  • 6. David RP Terry Hand written drug-charts!
  • 7. David RP Terry Developing eRx’ing EPMA – 5yrs PICs … built at UHB, but excludes children.
  • 8. David RP Terry Prescribing Information and Communications System Safety Quality Resources
  • 9. David RP Terry Prescribe Supply Administer Medication Process
  • 10. David RP Terry Medication errors up to 13%? 2/3 IV’s not given according to guidance. Prescribe Supply Administer
  • 11. David RP Terry SPACER Aims: To identify the benefits and disbenefits of EPMA compared to paper-based system
  • 12. David RP Terry SPACER • Before, during and after study • 3 years • 3 strands
  • 14. David RP Terry Ethnographic Data Envelopment Analysis Drugs Data Decisions (3D) • Safety • Quality • Resources • Culture • Technology • Processes • Organisation structure
  • 15. David RP Terry Ethnographic Data Envelopment Analysis Drugs Data Decisions (3D) • Safety • Quality • Resources • Culture • Technology • Processes • Organisation structure
  • 16. David RP Terry Safety Quality Resources Strand A Ethnographic strand Mixed method – Qualitative and Quantitative study Observe the organisational change, explore staff perspectives of doctors, nurses and pharmacists as e- prescribing is implemented Strand B Efficiency – “DEA model” strand DEA – Data Envelopment Analysis What is the impact of e- prescribing on the efficiency of the services? Strand C – 3D study – Drugs, Data, Decisions What Key Performance Measures does the hospital measure before implementation of e-prescribing, how much resources are used to generate it? What will be measured during and after implementation? Culture Technology Processes Structure Pre- implementation (year 1) Peri- implementation (year 2) Post- implementation (year 3)
  • 17. David RP Terry SPACER 3D – Drugs, Data, Decisions Background • BCH uses currently available data - define and measure progress towards organisational goals • Surveillance and audits are used to support medication governance … via an organisational structure. • Enables decision making.
  • 18. David RP Terry SPACER 3D – Drugs, Data, Decisions Questions: What data / metrics are used? How are they used? How will EPMA change this?
  • 19. David RP Terry SPACER 3D Aims and objectives -To observe the relevant metrics before, during and after implementation of electronic prescribing. -To identify changes to metrics, processes, reporting systems and decision making, in relation to the medication process.
  • 20. David RP Terry SPACER 3D Aims and objectives -Capture metrics … catalogue being assembled -By analysing the documentation and reports in circulation during the three periods of transition DATA - Identify the medication related changes that occur. PROCESSES - Identify process (report) changes due to EPMA REPORTS - Observe committee oversight & responses to reports.
  • 21. David RP Terry BCH Medicines Governance Structure Trust Board CRAC DTC Medicines Safety Committee Antimicrobials Non-medical prescribing Data - KPIs and Metrics
  • 22. David RP Terry SPACER 3D – Drugs, Data, Decisions Pre- implementation Peri- implementation Post implementation KPI manager Interview – document field notes + record resources required Selection Gathering Processed Reported Catalogue of KPIs with X domains monitored Catalogue of KPIs with X domains monitored – X obsolete + Y domains incorporated (in anticipation to implementation) Method KPI manager Interview – document field notes + record resources required Selection Gathering Processed Reported KPI manager Interview – document field notes + record resources required Selection Gathering Processed Reported Catalogue of KPIs with X domains monitored – (Xobsolete + Y obsolete) + Y domains + Z domains
  • 23. David RP Terry SPACER 3D Expected outputs • An increase in clarity in how data is used. • Reduction in the time and resources recorded to produce the audits. • Develop metrics not available in paper system. • The quality and depth of information from the reports may improve. • Identification of novel underlying problems within the system that cannot be measured under the current paper system.
  • 24. David RP Terry No Domain/KPI 1 Nursing quality indicators 2a Drug Chart audits 2b Jeff Martin exercise 3 Medication (not Patient) Safety thermometer 4 Incident reporting IR1 / SUI 5 Antibiotics usage 6 Surgical Prophylaxis 7a Antibiotics TDM Audit 7b Respiratory TDM Audit 8 Restricted antibiotic usage (BCH Formulary) 9 Point prevalence surveys, comparators. 10 PAU / MAU antibiotic prescribing 11 PN usage 12 Dispensaries activity 13 Dispensary errors, both internal and external 14 Medicines Information - activity. 15 Pharmacist interventions - frequency 16 Nurse interventions 17 Pharmacy Technician interventions (administration of drugs). 18 Pharmacy end of month reports No. Domain/KPI (NB Check if official title) a Contact b Selection – What c Population scope/subset d Gathering: Who/how/technology e Frequency & Duration f Location g Processed (by): h Reported (To) i Who uses it j Follow up – what is done as a result k Does it relate to procedures? l General Comment m Type Overlays to consider Healthcare Service Measures Safety Quality Resources Organisation Change/Business Measures Culture Changes Technology Processes Structure Also Costs Example output obtained?

Editor's Notes

  1. Primary care electronic systems have been available since the 1970s. Common in USA hospitals, but not UK. 2011 Only 1 Trust of 101 surveyed had implemented a hospital-wide system. PWC 2013 suggested significant economic benefits of eRx’ing. Reduced errors
  2. Surveillance, audits.