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1 
Reducing Human Error in Healthcare: 
Institute for Business, Social Science, and Public Policy 
g 
Getting Doctors to Swallow the Blue Pill 
Paul O’Connor 
High Reliability Organisations 
• Organisations whose performance may be catastrophically impacted by failures 
can be defined as high risk industries. 
• Those organisations that succeed in avoiding catastrophes in high risk 
environments are known as High Reliability Organisations (HROs; Roberts & 
Rousseau, 1989). 
• Examples of HROs include nuclear power generation, civil aviation, nuclear 
submarines, and aircraft carriers. 
• These industries do not have a perfect safety record (e.g. Deepwater Horizon, 
Air France Flight 447). 
• However, they have far fewer mishaps that would be expected given the type of 
operations they carry out.
2 
Reducing Mishap Rates in HROs 
• The large e ge hardware issues have generally been addressed in 
HROs (e.g. wings tend not to fall of aircraft). 
• There is a recognition by HROs of the need to address human 
fallibility and designed systems to minimise the impact of 
human error through a robust safety culture. 
Medical Error Figures 
• Institute of Medicine (2000): 
between 44,000 to 98,000 deaths 
per year attributed to medical 
error. 
• Extrapolate to Ireland: between 
632 to 1,409 deaths 
Cause of death Number 
Road accidents (2011) 186 
Homicide (2010) 89 
Diabetes mellitus (2006) 539 
Breast cancer 687 
Pneumonia (2006) 1,974
3 
Example: U.S. Naval Aviation Mishaps 
Hours 
16 
C Mishaps/100,000 Flight H 
14 
12 
10 
8 
6 
4 
Human 
Class A, B,& 
2 
0 
1977 
1979 
1981 
Mechanical 
1983 
1985 
1987 
1989 
1991 
Year 
Shappell & Wiegmann (1996) 
Components of Safety Culture (Reason, 1997) 
Informed culture 
Understand the human, technical, organisational and 
environmental factors that determine system safety. 
Reporting culture 
People are prepared to report 
their errors and near-misses. 
Flexible culture 
The organisation is able 
to reconfigure in the 
face of op-tempo shifts 
or certain other kinds of 
dangers. 
SAFETY 
CULTURE 
Just culture 
Atmosphere of trust in which people are 
encouraged to provide safety-related 
information, but there is a clear distinction 
between acceptable and unacceptable behaviour. 
Learning culture 
Willingness of the organisation to 
draw the right conclusions from 
safety information and implement 
major reforms.
4 
Military Thinking 
Red Threat Blue Threat 
The enemy 
e.g. enemy fire, improvised 
explosive devices (IEDs) 
The threat posed to friendly military 
forces from friendly fire or 
mishaps. 
Military examples of blue/red threat statistics 
• In 2006 U S 2006, U.S. Naval aviation had 25 major mishaps, with 
the loss of 21 aircrew, and 17 aircraft, at a cost of almost 
$508 million. 
• Contrast this to direct-enemy action over the same period 
in which one helicopter was destroyed, with the loss of both 
aircrew (U.S. Navy Safety Centre, 2006). 
• In 2008, 20 U.S. Marines killed in action in Iraq, and 25 
were killed riding motorbikes. 
•The majority of these mishaps can be attributed to 
human error
5 
What is Human Error? 
• “An inappropriate or undesirable human decision or behaviour that 
has the potential to reduce effectiveness, safety, or system 
performance.” (Sanders & McCormick, 1993). 
• The study of human error in the workplace 
falls within the domain of human factors. 
What is Human Factors? 
• “Human factors is primarily concerned with the performance of 
one or more persons in a task-oriented environment interacting with 
equipment, people, or both” (U.S. National Academy of Sciences, 
1992). 
• It is a multi-disciplinary field. 
• The goals of human factors are to: 
– Enhance performance 
– Increase safety 
– Increase user satisfaction
6 
SHEL Model of Human Factors (Edwards, 1972) 
Software 
H d 
Liveware (people) 
• Physical 
• Knowledge 
• Attitudes 
• Cultures 
• Stress 
Hardware 
• Procedures 
• Policies 
• Rules 
• Equipment 
• Technology 
Environment 
Liveware Li (teams) 
t ) 
• Physical 
• Organisational 
• Political 
• Economic 
• Team work 
• Communication 
• Leadership 
• Norms 
Healthcare 
Red threat Blue threat 
The threat posed to patients from errors 
made by healthcare professionals. 
The disease, injury, or condition
7 
Example: Turning Off a Ventilator 
Software 
H d 
Turned Off a Ventilator 
Liveware (people) 
Hardware 
• Lack of clear 
procedures 
• Error provoking 
• Lack of knowledge interface design 
in use of the ambu bag. 
• Lack of knowledge in how 
to use ventilator 
• Failure to perform Liveware teams) 
Environment 
Li (t ) 
• Failed to enforce 
standards 
• Failed to ensure 
personnel were 
trained 
• Failure to address the 
patient’s concerns 
p 
effectively under stress
8 
Health Care Blue Threat Statistics 
• Medical error affects approximately 10% of 
hospitalized patients. 
• Within an Irish context, that equates to approximately 
160,000 patients injured every year. 
• Approximately 80% of adverse events in health care 
are due to human error. 
• One in 300 chance of a patient being harmed during 
health care. 
• One in a million chance of a traveller being harmed 
while in an aircraft. 
• Clear need for human factors research within the Irish healthcare system. 
NUIG Human Factors in Healthcare Research 
Software 
H d 
Liveware (people) 
• Human factors training for 
interns 
• Assessment of levels of 
stress in interns 
• Teamwork attitudes and 
Hardware 
• Surgical checklist 
• Orthopedic 
surgery procedures 
• Robotic surgery 
Environment 
Li (t ) 
knowledge of surgeons Liveware teams) • Brachiotherapy 
• Teamwork attitudes 
and knowledge of 
surgeons
9 
Software: Projects in Infancy 
• Classifying risk of error at each step in an orthopaedic 
surgical procedure. 
• An assessment of attitudes to the WHO surgical checklist. 
Software: Projects in Infancy 
• Reduced complications by 36%, and deaths by 40% (Haynes et al, 
2008). 
• However, there is no standardisation across Ireland with each 
hospital making changes (e.g. adding/deleting steps, signatures).
10 
Hardware: Laparoscopic vs Robotic Surgical Performance 
(Hartmann, O’Connor, Bouchier-Hayes, & Allazam) 
• Comparison of novices 
performing basic surgical 
skills laparoscopically versus 
robotically. 
• Data collected, but not yet 
analysed. 
Liveware (people): Human Factors for Interns 
(O’Connor, Byrne, & Kerin) 
• Designed a short human factors training course for interns based 
on an aviation model. 
• It was identified that training was required in the following non-technical 
– Situation Awareness 
– Decision Making 
Team Working 
– Communication 
– Managing Stress 
– Coping with Fatigue 
skills: 
– – Leadership 
– Empathy 
• Filmed UCHG consultants and a patient representative 
describing a challenging situation resulting in 11 scenarios.
11 
Findings 
• 8 training courses run to date, 51 interns trained. 
• The initial reactions were positive. 
• Half of the respondents wanted more films to be used in the 
training, and a quarter wanted more discussion of 
nontechnical skills. 
• Further data collection beyond reactions is on-going. 
• Recognised that one 90 minute training course will have 
limited impact. 
Liveware (people): Stress in Interns 
O’Connor, Byrne, Lydon, Kerin 
• A particularly stressful part of training to be a doctor is 
the intern year. High levels of stress have been shown to 
negatively impact patient safety and quality of care. 
• A questionnaire was used to assess self-reported levels of 
stress in interns 
• Responses were obtained from 56 inexperienced interns 
and 34 experienced interns.
12 
Findings and Conclusions 
% Pathological Men Women Row total 
Inexperienced 39.1 36.3 37.5 
Experienced 50.0 5.6 26.5 
Column total 43.6 25.4 33.3 
• Levels of stress reported by the inexperienced interns and experienced 
male interns were typical of that of other studies examining stress in 
interns. 
• There is a need for a multi-centre prospective study of levels of stress in 
Irish interns and screening to identify stressors which may impact ability 
to deliver optimal patient care. 
Future Intern Stress Research 
Ongoing 
• Within subjects assessment design study of levels of stress reported by NUIG 
Interns at three time points in the intern year. 
• A multi-centre study of self reported stress by interns across Ireland and New 
Zealand. 
Future 
• In the future we would like to screen for ‘at-risk’ medical students. 
• Collect physiological measures of stress. 
• Examine the effectiveness of intervention strategies
13 
Liveware (people): Virtual reality training 
O’Connor, Byrne, & Kerin 
• There is going to be an enormous increase in the numbers of medical 
students over the next five years 
years. 
• However, there is still the need to provide scenario-based training so that 
they have the clinical and nontechnical skills required to be an effective 
doctor. 
• We have applied for a small amount of 
NUIG funding to develop a ‘proof of 
concept’ virtual reality to train basic 
clinical and non-technical skills. 
Liveware (people and team): Teamwork Attitudes and 
Knowledge of Surgeons 
(O’Connor, Ryan, & Keogh, in press) 
• A questionnaire was used to assess the attitudes towards, and 
knowledge of the human factors that contribute to mishaps 
and poor teamwork. 
• Irish surgeons (n=72); U.S. Naval aviators (n= 552 for the 
attitude questions, and n= 172 for the knowledge test). 
• U.S. Naval aviators have significantly more positive attitudes, 
and are significantly more knowledgeable about the human 
factors that contribute to poor performance than Irish 
surgeons.
14 
Responses to items addressing speaking up and 
pre- and post-operative briefing. 
Item Group % Frequently/ 
Very y frequently 
q y 
How frequently are junior personnel afraid 
to express disagreement with more senior 
personnel? 
SHO 81.5 
Registrar 76.7 
Consultant 31.3 
Naval aviator 15.8 
How frequently are adequate pre-operative 
SHO 0 
team briefs conducted? Registrar 23.3 
Consultant 18.8 
How frequently are adequate post-operative 
team briefs conducted? 
SHO 3.7 
Registrar 16.7 
Consultant 31.3 
Implications 
• There is a need to stress the importance of assertiveness in 
juniors, listening in seniors, and more reinforcement, and 
training in good team working behaviours in the operating 
theatre. 
• Team training given to U.S. theatre teams (similar to that 
provided to NUIG interns) was found to lead to a decline in 
surgical mortality of 18% where the training was 
implemented, compared with a 7% mortality reduction in the 
control hospitals (Neily et al., 2010).
15 
Liveware (team): Oncology Error Analysis 
(Fallon & van der Putten) 
• ROSSA (Radiation Oncology Safety Systems Analysis) project funded by 
HRB (with Prof Sullivan) 
• A systematic approach to safety and risk in radiation oncology 
• To look at a retrospective study of incidents and how they can be used to 
examine the potential of future incidents. 
• To allow users to analyse risks and hazards in a systematic way by using 
the actual patient and data flow 
– Impact of automation on staff roles during brachytherapy treatment by 
examining human: machine interaction issues. 
• The development of a taxonomy to identify areas of risk and error in 
healthcare. 
• Comparison of the risks associated with paper versus electronic patient 
records. 
Conclusion 
• Many doctors and other health care professionals have ‘swallowed the 
blue pill.’ 
• There is a need to put more effort in measures focusing on the blue 
threat to patients and to improving the safety culture in healthcare 
within Ireland. 
• There is no academic centre for patient safety research and education 
in Ireland. 
• Research is being carried out in this area at NUI Galway. 
• With even a little effort and support, NUI Galway has the potential to 
rapidly become the national leader, and begin to build an international 
reputation in this area.
16 
Thanks 
• Paul O’Connor 
• Email: paul.oconnor@nuigalway.ie 
• Phone: 492 897 
“The day you were born 
was a medical error!”

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2012.02.18 Reducing Human Error in Healthcare - Getting Doctors to Swallow the Blue Pill

  • 1. 1 Reducing Human Error in Healthcare: Institute for Business, Social Science, and Public Policy g Getting Doctors to Swallow the Blue Pill Paul O’Connor High Reliability Organisations • Organisations whose performance may be catastrophically impacted by failures can be defined as high risk industries. • Those organisations that succeed in avoiding catastrophes in high risk environments are known as High Reliability Organisations (HROs; Roberts & Rousseau, 1989). • Examples of HROs include nuclear power generation, civil aviation, nuclear submarines, and aircraft carriers. • These industries do not have a perfect safety record (e.g. Deepwater Horizon, Air France Flight 447). • However, they have far fewer mishaps that would be expected given the type of operations they carry out.
  • 2. 2 Reducing Mishap Rates in HROs • The large e ge hardware issues have generally been addressed in HROs (e.g. wings tend not to fall of aircraft). • There is a recognition by HROs of the need to address human fallibility and designed systems to minimise the impact of human error through a robust safety culture. Medical Error Figures • Institute of Medicine (2000): between 44,000 to 98,000 deaths per year attributed to medical error. • Extrapolate to Ireland: between 632 to 1,409 deaths Cause of death Number Road accidents (2011) 186 Homicide (2010) 89 Diabetes mellitus (2006) 539 Breast cancer 687 Pneumonia (2006) 1,974
  • 3. 3 Example: U.S. Naval Aviation Mishaps Hours 16 C Mishaps/100,000 Flight H 14 12 10 8 6 4 Human Class A, B,& 2 0 1977 1979 1981 Mechanical 1983 1985 1987 1989 1991 Year Shappell & Wiegmann (1996) Components of Safety Culture (Reason, 1997) Informed culture Understand the human, technical, organisational and environmental factors that determine system safety. Reporting culture People are prepared to report their errors and near-misses. Flexible culture The organisation is able to reconfigure in the face of op-tempo shifts or certain other kinds of dangers. SAFETY CULTURE Just culture Atmosphere of trust in which people are encouraged to provide safety-related information, but there is a clear distinction between acceptable and unacceptable behaviour. Learning culture Willingness of the organisation to draw the right conclusions from safety information and implement major reforms.
  • 4. 4 Military Thinking Red Threat Blue Threat The enemy e.g. enemy fire, improvised explosive devices (IEDs) The threat posed to friendly military forces from friendly fire or mishaps. Military examples of blue/red threat statistics • In 2006 U S 2006, U.S. Naval aviation had 25 major mishaps, with the loss of 21 aircrew, and 17 aircraft, at a cost of almost $508 million. • Contrast this to direct-enemy action over the same period in which one helicopter was destroyed, with the loss of both aircrew (U.S. Navy Safety Centre, 2006). • In 2008, 20 U.S. Marines killed in action in Iraq, and 25 were killed riding motorbikes. •The majority of these mishaps can be attributed to human error
  • 5. 5 What is Human Error? • “An inappropriate or undesirable human decision or behaviour that has the potential to reduce effectiveness, safety, or system performance.” (Sanders & McCormick, 1993). • The study of human error in the workplace falls within the domain of human factors. What is Human Factors? • “Human factors is primarily concerned with the performance of one or more persons in a task-oriented environment interacting with equipment, people, or both” (U.S. National Academy of Sciences, 1992). • It is a multi-disciplinary field. • The goals of human factors are to: – Enhance performance – Increase safety – Increase user satisfaction
  • 6. 6 SHEL Model of Human Factors (Edwards, 1972) Software H d Liveware (people) • Physical • Knowledge • Attitudes • Cultures • Stress Hardware • Procedures • Policies • Rules • Equipment • Technology Environment Liveware Li (teams) t ) • Physical • Organisational • Political • Economic • Team work • Communication • Leadership • Norms Healthcare Red threat Blue threat The threat posed to patients from errors made by healthcare professionals. The disease, injury, or condition
  • 7. 7 Example: Turning Off a Ventilator Software H d Turned Off a Ventilator Liveware (people) Hardware • Lack of clear procedures • Error provoking • Lack of knowledge interface design in use of the ambu bag. • Lack of knowledge in how to use ventilator • Failure to perform Liveware teams) Environment Li (t ) • Failed to enforce standards • Failed to ensure personnel were trained • Failure to address the patient’s concerns p effectively under stress
  • 8. 8 Health Care Blue Threat Statistics • Medical error affects approximately 10% of hospitalized patients. • Within an Irish context, that equates to approximately 160,000 patients injured every year. • Approximately 80% of adverse events in health care are due to human error. • One in 300 chance of a patient being harmed during health care. • One in a million chance of a traveller being harmed while in an aircraft. • Clear need for human factors research within the Irish healthcare system. NUIG Human Factors in Healthcare Research Software H d Liveware (people) • Human factors training for interns • Assessment of levels of stress in interns • Teamwork attitudes and Hardware • Surgical checklist • Orthopedic surgery procedures • Robotic surgery Environment Li (t ) knowledge of surgeons Liveware teams) • Brachiotherapy • Teamwork attitudes and knowledge of surgeons
  • 9. 9 Software: Projects in Infancy • Classifying risk of error at each step in an orthopaedic surgical procedure. • An assessment of attitudes to the WHO surgical checklist. Software: Projects in Infancy • Reduced complications by 36%, and deaths by 40% (Haynes et al, 2008). • However, there is no standardisation across Ireland with each hospital making changes (e.g. adding/deleting steps, signatures).
  • 10. 10 Hardware: Laparoscopic vs Robotic Surgical Performance (Hartmann, O’Connor, Bouchier-Hayes, & Allazam) • Comparison of novices performing basic surgical skills laparoscopically versus robotically. • Data collected, but not yet analysed. Liveware (people): Human Factors for Interns (O’Connor, Byrne, & Kerin) • Designed a short human factors training course for interns based on an aviation model. • It was identified that training was required in the following non-technical – Situation Awareness – Decision Making Team Working – Communication – Managing Stress – Coping with Fatigue skills: – – Leadership – Empathy • Filmed UCHG consultants and a patient representative describing a challenging situation resulting in 11 scenarios.
  • 11. 11 Findings • 8 training courses run to date, 51 interns trained. • The initial reactions were positive. • Half of the respondents wanted more films to be used in the training, and a quarter wanted more discussion of nontechnical skills. • Further data collection beyond reactions is on-going. • Recognised that one 90 minute training course will have limited impact. Liveware (people): Stress in Interns O’Connor, Byrne, Lydon, Kerin • A particularly stressful part of training to be a doctor is the intern year. High levels of stress have been shown to negatively impact patient safety and quality of care. • A questionnaire was used to assess self-reported levels of stress in interns • Responses were obtained from 56 inexperienced interns and 34 experienced interns.
  • 12. 12 Findings and Conclusions % Pathological Men Women Row total Inexperienced 39.1 36.3 37.5 Experienced 50.0 5.6 26.5 Column total 43.6 25.4 33.3 • Levels of stress reported by the inexperienced interns and experienced male interns were typical of that of other studies examining stress in interns. • There is a need for a multi-centre prospective study of levels of stress in Irish interns and screening to identify stressors which may impact ability to deliver optimal patient care. Future Intern Stress Research Ongoing • Within subjects assessment design study of levels of stress reported by NUIG Interns at three time points in the intern year. • A multi-centre study of self reported stress by interns across Ireland and New Zealand. Future • In the future we would like to screen for ‘at-risk’ medical students. • Collect physiological measures of stress. • Examine the effectiveness of intervention strategies
  • 13. 13 Liveware (people): Virtual reality training O’Connor, Byrne, & Kerin • There is going to be an enormous increase in the numbers of medical students over the next five years years. • However, there is still the need to provide scenario-based training so that they have the clinical and nontechnical skills required to be an effective doctor. • We have applied for a small amount of NUIG funding to develop a ‘proof of concept’ virtual reality to train basic clinical and non-technical skills. Liveware (people and team): Teamwork Attitudes and Knowledge of Surgeons (O’Connor, Ryan, & Keogh, in press) • A questionnaire was used to assess the attitudes towards, and knowledge of the human factors that contribute to mishaps and poor teamwork. • Irish surgeons (n=72); U.S. Naval aviators (n= 552 for the attitude questions, and n= 172 for the knowledge test). • U.S. Naval aviators have significantly more positive attitudes, and are significantly more knowledgeable about the human factors that contribute to poor performance than Irish surgeons.
  • 14. 14 Responses to items addressing speaking up and pre- and post-operative briefing. Item Group % Frequently/ Very y frequently q y How frequently are junior personnel afraid to express disagreement with more senior personnel? SHO 81.5 Registrar 76.7 Consultant 31.3 Naval aviator 15.8 How frequently are adequate pre-operative SHO 0 team briefs conducted? Registrar 23.3 Consultant 18.8 How frequently are adequate post-operative team briefs conducted? SHO 3.7 Registrar 16.7 Consultant 31.3 Implications • There is a need to stress the importance of assertiveness in juniors, listening in seniors, and more reinforcement, and training in good team working behaviours in the operating theatre. • Team training given to U.S. theatre teams (similar to that provided to NUIG interns) was found to lead to a decline in surgical mortality of 18% where the training was implemented, compared with a 7% mortality reduction in the control hospitals (Neily et al., 2010).
  • 15. 15 Liveware (team): Oncology Error Analysis (Fallon & van der Putten) • ROSSA (Radiation Oncology Safety Systems Analysis) project funded by HRB (with Prof Sullivan) • A systematic approach to safety and risk in radiation oncology • To look at a retrospective study of incidents and how they can be used to examine the potential of future incidents. • To allow users to analyse risks and hazards in a systematic way by using the actual patient and data flow – Impact of automation on staff roles during brachytherapy treatment by examining human: machine interaction issues. • The development of a taxonomy to identify areas of risk and error in healthcare. • Comparison of the risks associated with paper versus electronic patient records. Conclusion • Many doctors and other health care professionals have ‘swallowed the blue pill.’ • There is a need to put more effort in measures focusing on the blue threat to patients and to improving the safety culture in healthcare within Ireland. • There is no academic centre for patient safety research and education in Ireland. • Research is being carried out in this area at NUI Galway. • With even a little effort and support, NUI Galway has the potential to rapidly become the national leader, and begin to build an international reputation in this area.
  • 16. 16 Thanks • Paul O’Connor • Email: paul.oconnor@nuigalway.ie • Phone: 492 897 “The day you were born was a medical error!”