Introduction
Methods
Research design
Phase one: document analysis
Inclusion criteria
Exclusion criteria
Search process
Document selection
Document analysis
Phase two: semi-structured interviews with key stakeholders
Ethical review
Sampling and recruitment of participants
Development of interview guide
1. In the Irish healthcare system, how is harm to patients measured and monitored? |
1.1. What are the strengths and limitation of methods used? |
1.2. Are there other methods of measuring and monitoring harm that you think should be used? and if so, what are these and why do you think they’d be useful? |
2. What methods are in place to assess whether our clinical systems, processes and behaviour reliable? |
2.1. What are the strengths and limitation of each of these methods? |
2.2. Are there other methods of measuring and monitoring standardised clinical practice that you think should be used? |
3. What methods are in place to assess whether care is safe in hospitals in Ireland today? |
3.1. What are the strengths and limitation of each of these methods? |
3.2. Are there other methods of measuring and monitoring whether patient care is safe today you think should be used? and if so, what are these and why do you think they be useful? |
4. What methods are in place to anticipate and reduce future risks to patients’ hospitals in Ireland? |
4.1. What are the strengths and limitation of each of these methods? |
4.2. Are there other methods of improving the anticipation and reduction of future risk to patients that you think should be used? and if so, what are these and why do you think they be useful? |
5. What methods are in place to promote learning from issues and improving the level of patient safety in hospitals in Ireland? |
5.1.What are the strengths and limitation of each of these methods? |
5.2. Are there other methods of prompting learning that you think should be used, and if so, what are these and why do you think they be useful? |
Procedure
Interview analysis
Results
Phase one: document analysis
Title of the document | Year published | Pages | Prepared by | Stated aim | Target population | Setting | Number of methods of MMS measures included |
---|---|---|---|---|---|---|---|
Patient Safety Strategy 2019–2024 | 2019 | 26 | Health Service Executive (HSE) | To improve the safety of all patients by identifying and reducing preventable harm within the health and social care system | ‘Patient’ refers to all people who attend/use health and social care services. “Staff” includes all healthcare professionals (HCPs), clinicians, support workers, managers, and administration | Every level of health and social care services, within both community and acute hospital services | N = 52* |
1. Harm, 12 (22.6%) | |||||||
2. Reliability of safety critical processes, 3 (5.6%) | |||||||
3. Sensitivity to operations, 10 (18.8%) | |||||||
4. Anticipation and preparedness, 12 (22.6%) | |||||||
5. Integration and learning, 16 (30.2%) | |||||||
Building a Culture of Patient Safety: Report of the Commission on Patient Safety and Quality Assurance | 2008 | 227 | Government of Ireland. The Commission on Patient Safety and Quality Assurance | To provide recommendations for a framework of patient safety and quality | ‘Patient’ refers to all people who use health and social care services. ‘Clinician’ refers to all HCPs involved in clinical work | All levels of the health system | N = 6 |
1. Harm, 1 (16.6%) | |||||||
2. Reliability of safety critical processes, 1 (16.6%) | |||||||
3. Sensitivity to operations, 3 (50%) | |||||||
4. Anticipation and preparedness, 0 (%) | |||||||
5. Integration and learning, 1 (16.6%) | |||||||
Acute Hospitals Key Performance Indicator Metadata 2021 | 2021 | 118 | Health Service Executive (HSE) | Key Performance Indicator (KPI) metadata templates are completed for all National Service Plan metrics and provide the most up-to-date information relating to KPIs | Information includes definition, rationale, reporting frequency, and data source. They underpin data quality, accessibility, and records management for data collectors and inform users of data | Acute hospitals | N = 15 |
1. Harm, 5 (33.3%) | |||||||
2. Reliability of safety critical processes, 10 (66.6%) | |||||||
3. Sensitivity to operations, 0 (%) | |||||||
4. Anticipation and preparedness, 0 (%) | |||||||
5. Integration and learning, 0 (%) | |||||||
National Standards for the Conduct of Reviews of Patient Safety Incidents 2017 | 2017 | 60 | Health Information and Quality Authority (HIQA) and Mental Health Commission (MHC) | To promote a framework for best practice in the conduct of reviews of patient safety incidents in order to set a standard for cohesive, person-centred reviews of such incidents | The standards were developed with an initial focus on services-specific for acute hospitals and mental health services | Acute hospitals under HIQA’s remit and mental health services under the remit of the MHC | N = 37 |
1. Harm, 2 (5.4%) | |||||||
2. Reliability of safety critical processes, 16 (43.2%) | |||||||
3. Sensitivity to operations, 3 (8.2%) | |||||||
4. Anticipation and preparedness, 5 (13.5%) | |||||||
5. Integration and learning, 11 (29.7%) | |||||||
Incident Management Framework 2020 | 2020 | 42 | Health Service Executive (HSE) | To provide an overarching practical approach, based on best practice, to assist providers of HSE and HSE-funded services to manage all incidents (clinical and non-clinical) in a manner that is cognisant of the needs of those affected and supports services to learn and improve | Staff, managers, and Senior Accountable Officer (SAO) and related teams/committees in HSE and HSE-funded agencies | All publicly funded health and social care services provided in Ireland | N = 23 |
1. Harm, 6 (26%) | |||||||
2. Reliability of safety critical processes, 5 (21.7%) | |||||||
3. Sensitivity to operations, 0 (%) | |||||||
4. Anticipation and preparedness, 1 (4.3%) | |||||||
5. Integration and learning, 11 (47.8%) | |||||||
National Standards for Safer Better Healthcare | 2012 | 157 | Health Information and Quality Authority (HIQA) | The National Standards for Safer Better Healthcare aim to give a shared voice to the expectations of the public, service users, and service providers. They also provide a roadmap for improving the quality, safety, and reliability of healthcare | Service users and service providers. The term service provider refers to any person, organisation, or part of an organisation delivering healthcare services, as described in the Health Act 2007 | These National Standards apply to all healthcare services (excluding mental health) provided or funded by the HSE including, but not limited to hospital care, ambulance services, community care, primary care, and general practice | N = 29 |
1. Harm, 4 (13.7%) | |||||||
2. Reliability of safety critical processes, 5 (17.2%) | |||||||
3. Sensitivity to operations, 0 (%) | |||||||
4. Anticipation and preparedness, 10 (34.4%) | |||||||
5. Integration and learning, 10 (34.4%) |
Phase two: semi-structured interviews with key stakeholders
Dimension | No | Reported methods of measuring and monitoring safety | Number of participants reported the measure (no.) % | ||
---|---|---|---|---|---|
(18) 87.5% Front-line healthcare staff | (6) 12.5% Policy makers | (24) 100% All | |||
1. Harm | 1. | Incident reporting systems | (15) 83.3% | (4) 66.6% | (19) 79.2% |
2. | National Incident Management System (NIMS) | - | (1) 16.6% | (1) 4.2% | |
3. | Hospital-acquired complications | - | (1) 16.6% | (1) 4.2% | |
4. | Hospital In-Patient Enquiry (HIPE) | - | (1) 16.6% | (1) 4.2% | |
5. | Mortality and morbidity rates | (5) 27.8% | - | (5) 20.8% | |
6. | Patient safety indicators | (1) 5.5% | - | (1) 4.2% | |
7. | Incidence of falls | (2) 11% | - | (2) 8.3% | |
8. | Pressure ulcer rates | (3) 16.7% | - | (3) 12.5% | |
9. | State Claims Agency | (1) 5.5% | - | (1) 4.2% | |
10. | Medication error reporting | (3) 16.7% | - | (3) 12.5% | |
11. | Rates of healthcare-associated infections (HCAIs) | (1) 5.5% | (1) 16.6% | (2) 8.3% | |
12. | Readmission rates | (1) 5.5% | - | (1) 4.2% | |
13. | Patient satisfaction surveys | - | (1) 16.6% | (1) 4.2% | |
14. | Patients’ complaint systems | (1) 5.5% | - | (1) 4.2% | |
2. Reliability of safety critical processes | 1. | Monitoring compliance to hand hygiene | (1) 5.5% | (2) 33.3% | (3) 12.5% |
2. | Observation of safety critical behaviours | (2) 11% | - | (2) 8.3% | |
3. | Monitoring national standards | (5) 27.8% | (1) 16.6% | (6) 25% | |
4. | National/international accreditation | (1) 5.5% | - | (1) 4.2% | |
5. | Inspections to monitor compliance against standards and guideline | (4) 22.2% | (1) 16.6% | (5) 20.8% | |
6. | Venous thromboembolism risk assessment | (1) 5.5% | - | (1) 4.2% | |
7. | Key performance indicators of patient safety goals | (3) 16.7% | (1) 16.6% | (4) 16.7% | |
8. | Audit of equipment | (6) 33.3% | - | (6) 25% | |
9. | Infection control checklists | (1) 5.5% | - | (1) 4.2% | |
10. | Clinical audit | (14) 77.8% | (4) 66.6% | (18) 75% | |
11. | Patient observation charts | (4) 22.2% | - | (4) 16.7% | |
12. | Double checks by other staff members | (7) 38.9% | - | (7) 29.2% | |
13. | Monitoring of vital signs | (1) 5.5% | - | (1) 4.2% | |
14. | Quality and safety monthly governance meeting | - | (1) 16.6% | (1) 4.2% | |
15. | Patient administration systems | - | (1) 16.6% | (1) 4.2% | |
16. | Specialty-specific data management systems | - | (1) 16.6% | (1) 4.2% | |
17. | Turnaround times (TAT) | - | (1) 16.6% | (1) 4.2% | |
18. | Early warning score | (6) 33.3% | (2) 33.3% | (8) 33.3% | |
19. | Armbands to identify patients at risk | (1) 5.5% | - | (1) 4.2% | |
20. | Surgical checklist | (3) 16.7% | - | (3) 12.5% | |
21. | Systems to check bed availability | (1) 5.5% | - | (1) 4.2% | |
22. | Preoperative assessment clinic | (1) 5.5% | - | (1) 4.2% | |
23. | Medication administration checklists | (1) 5.5% | - | (1) 4.2% | |
24. | Staff assessment and credentialling | (1) 5.5% | - | (1) 4.2% | |
25. | Monitoring delays in treatment | (1) 5.5% | - | (1) 4.2% | |
3. Sensitivity to operations | 1. | Safety walk-arounds | (5) 27.8% | (1) 16.6% | (6) 25% |
2. | Talking to patients | (3) 16.7% | - | (3) 12.5% | |
3. | Safety huddles | (4) 22.2% | (2) 33.3% | (6) 25% | |
4. | Briefings and debriefings | (2) 11% | - | (2) 8.3% | |
5. | Observation and conversations with clinical teams | (7) 38.9% | (1) 16.6% | (8) 33.3% | |
6. | Ward rounds and routine reviews of patients and working conditions | (2) 11% | - | (2) 8.3% | |
7. | Handover and handouts | (4) 22.2% | - | (4) 16.7% | |
8. | Real-time monitoring and feedback in anaesthesia | (1) 5.5% | - | (1) 4.2% | |
4. Anticipation and preparedness | 1. | Failure mode and effect analysis (FMEA) to identify risks | (1) 5.5% | - | (1) 4.2% |
2. | Staff assessment and credentialing | (3) 16.7% | - | (3) 12.5% | |
3. | Risk registers | - | (4) 66.6% | (4) 16.7% | |
4. | Anticipated staffing levels and skill mix | (7) 38.9% | - | (7) 29.2% | |
5. | Screening for embolism | (1) 5.5% | - | (1) 4.2% | |
6. | Timely safety alerts | - | (1) 16.6% | (1) 4.2% | |
7. | Comprehensive hazard identification risk assessment | - | (1) 16.6% | (1) 4.2% | |
8. | A hospital emergency management plan that is aligned with the city’s emergency management plan | - | (1) 16.6% | (1) 4.2% | |
9. | Comprehensive risk assessments of patient at admission | (4) 22.2% | - | (4) 16.7% | |
10. | Fall risk assessment | (1) 5.5% | - | (1) 4.2% | |
11. | Waterlow skin assessment | (2) 11% | - | (2) 8.3% | |
12. | Malnutrition Universal Screening Tool (MUST) | (2) 11% | - | (2) 8.3% | |
13. | Nursing pools | (1) 5.5% | - | (1) 4.2% | |
14. | Risk prediction scores in anaesthesia | (1) 5.5% | - | (1) 4.2% | |
15. | Preoperative assessment of patients | (2) 11% | - | (2) 8.3% | |
5. Integration and learning | 1. | Analysis of incidents and feedback leading to the implementation of safety lessons | (8) 44.4% | (4) 66.6% | (12) 50% |
2. | Learning from audits | (1) 5.5% | - | (1) 4.2% | |
3. | Learning from patient safety alerts | - | (1) 16.6% | (1) 4.2% | |
4. | Learning from patients’ complaints | (2) 11% | (1) 16.6% | (3) 12.5% | |
5. | Learning from meetings and discussion of sentinel events | (2) 11% | - | (2) 8.3% | |
6. | Debriefing sessions to provide feedback on clinical performance | (3) 16.7% | - | (3) 12.5% | |
7. | Learning from root cause analysis | (2) 11% | (1) 16.6% | (3) 12.5% | |
8. | Learning from excellence | - | (1) 16.6% | (1) 4.2% | |
9. | Learning reported in research papers from other health organisations | - | (2) 33.3% | (2) 8.3% | |
10. | learning from safety networks that involve local and national health agencies | (1) 5.5% | (2) 33.3% | (3) 12.5% | |
11. | After action reviews (AAR) | - | (1) 16.6% | (1) 4.2% | |
12. | Learning from international experience reported in the literature | - | (1) 16.6% | (1) 4.2% | |
13. | Simulation sessions following patient safety incidents | (5) 27.8% | - | (5) 20.8% | |
14. | Learning from mortality and morbidity reviews | (2) 11% | - | (2) 8.3% |
Dimension | Example quotes |
---|---|
1. Harm | Incident reports |
‘There is the Q-Pulse system, which is a self-reporting system in the hospital, and there are different categories for reporting, things related to work and things related to safety, and other related to other things to improve quality and safety and so on’ (Doctor 1) | |
‘I suppose the most prominent method would be the use of incident report systems’ (Doctor 6) | |
‘Within Irish hospitals, the method used to measure, and monitor harm would mainly be incident reporting systems’ (Policy maker 4) | |
Mortality and morbidity rates | |
“One major thing would be our departments use of morbidity and mortality rates” (Doctor 6) | |
2. Reliability of safety critical processes | Clinical audit |
‘Clinical audit, we have a very robust audit and quality improvement department in the hospital, doctors and nurses are invited to carry out audits’ (Doctor 6) | |
Early warning score | |
“The early warning score, that was another initiative that was brought in that's countrywide as well” (Nurse 7) | |
3. Sensitivity to operations | Observation and conversations with clinical teams |
‘Direct observation of procedures, whereby a senior will initially observe you performing procedure and in a structured manner and observe the different steps and analyse what you’re doing and then deliver feedback afterwards’ (Doctor 6) | |
Safety walk-arounds | |
‘There are ground round or ward round. I think every senior in any team should be able to do at least one round every day with the juniors, and there should be a bigger round done every week for example in presence of all seniors’ (Doctor 2) | |
Safety huddles | |
‘There is also what we call the safety pause or the safety huddle, so during the safety huddles, we’ll discuss whether there has been anything wrong, or there is something that isn’t working properly, and needs to be fixed that is related to patient safety, we also discuss whether there are any new guidelines or protocols’ (Nurse 2) | |
4. Anticipation and preparedness | Anticipated staffing levels and skill mix |
‘anticipating staffing levels, for example, during the winter, there’s going to be a rise in your flu cases, so anticipating that we’re going to need more staff nurses at that time’ (Nurse 9) | |
Comprehensive risk assessments of patients at admission | |
‘There are assessments as soon as the admission takes place in order for us to avoid harm. We will assess several factors, and then we know, does this patient need more care?’ (Nurse 3) | |
5. Integration and learning | Analysis of incidents and feedback leading to the implementation of safety lessons |
‘When an incident report is filed, this is discussed by specific team that manages incident reports and usually they discuss it with the person that’s involved, not in terms of putting blame, but in terms of addressing how the mistake happened and how to prevent it’ (Doctor 5) | |
Simulation sessions following patient safety incidents | |
‘So, I think simulation plays a big role. We certainly do that. From time to time will run multi-disciplinary simulations with the nurses and sometimes with ICU or other teams’ (Doctor 8) |
Discussion
Recommendations
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Reliability of safety data. The reliability of most safety data is unknown, and in some cases the reliability may actually be known to be problematic (e.g. hand hygiene compliance). If measures are poorly designed, this can lead to ‘gaming’, where targets are achieved but the intended changes in practise are not [28]. Therefore, consideration needs to be given to identifying which methods of MMS result in reliable data.
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Fragmentation of data. There are a huge range of methods of MMS focused at different levels of a healthcare organisation (e.g. units, hospitals), by different organisations (e.g. HIQA, Department of Health). This fragmentation of data creates challenges for healthcare professionals and managers in identifying where improvement efforts should be made, and whether these efforts are effective [1]. It is recommended that there is a consolidation of efforts across these agencies to avoid repetition and overlap of efforts.
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Quantity of safety data. A total of 162 methods of MMS were identified from the document analysis, and 76 methods of MMS identified from the interviews. This quantity of data can be overwhelming for healthcare workers and managers. There is a need for safety data to be readily interpreted so that safety issues can be identified at unit, hospital, and national levels. Measures that are too burdensome or lack credibility may alienate clinicians and lead to confusion about the impact of interventions [29]. It is suggested that the perspectives of all stakeholders in healthcare should be taken to identify key measures, from across the five MMS domains, that are particularly useful in supporting action and improvement, and do not place a large burden on healthcare staff to use.
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Lack of ownership of the data. Much of the data is focused on measures generated externally to a clinical team, so the teams may not perceive the data as being related to their performance [30]. Consideration should be given to how to engage front-line clinical staff in MMS so that they feel some ownership and are empowered to act upon the data, and involving them, and other stakeholders, in identifying meaningful methods of MMS.