Quality Improvement and Patient Safety (QPS) 6-the-tqci/8-june-2017/2... · Quality Improvement and...
Transcript of Quality Improvement and Patient Safety (QPS) 6-the-tqci/8-june-2017/2... · Quality Improvement and...
Overview Comprehensive approach to quality
improvement and patient safety that
impacts all aspects of the facility’s
operation.
department-level input and
participation into the quality
improvement and patient safety
program;
use of objective, validated data to
measure how well processes work;
effectively using data and
benchmarks to focus the program;
implementing and sustaining changes
that result in improvement
Both quality improvement and patient
safety programs
are leadership driven;
seek to change the culture of an
organization;
proactively identify and reduce
variation;
use data to focus on priority issues;
and
seek to demonstrate sustainable
improvements
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Management of Quality and Patient Safety Activities
(QPS.1)
Measure Selection and Data Collection
(QPS.2, 3)
Analysis and Validation of Measurement Data
(QPS 4, 4.1, 5, 6, 7, 8, 9
Gaining and Sustaining Improvement
(QPS 10, 11)
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Overview 12 Standards
53 Measurable Elements
5 Required Policies
Management of Quality and Patient Safety
• The overall program for quality and
patient safety in a hospital is
approved by the governing entity
(GLD.2),
• with the hospital’s leadership defining
the structure and allocating resources
required to implement the program
(GLD.4).
• Leadership also identifies the
hospital’s overall priorities for
measurement and improvement
(GLD.5),
• with the department/service leaders
identifying the priorities for
measurement and improvement within
their department/service (GLD.11 and
GLD.11.1).
• This QPS chapter identify the structure,
leadership, and activities to support the
data collection, data analysis, and
quality improvement for the identified
priorities hospitalwide, as well as
department- and service-specific.
• This includes the collection and analysis
on, and the response to, hospitalwide
sentinel events, adverse events, and
near-miss events.
• The standards also describe the central
role of coordinating all the quality
improvement and patient safety
initiatives in the hospital and providing
guidance and direction for staff training
and communication of quality and
patient safety information.
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QPS.1 - A qualified individual guides the implementation of the hospital’s
program for quality improvement and patient safety and manages the activities
needed to carry out an effective program of continuous quality improvement
and patient safety within the hospital.
Require well-implement program
Approve and support resources form governance
knowledge and experience staff in data collection, data validation,
and data analysis
Coordinate and organize throughout the organization
Understand how to take the hospital wide priorities and the
department/service–level priorities
Training and communication
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Management of Quality and Patient Safety
QPS.1 Measurable Elements
1.An individual who is experienced is selected to guide the implementation
of the quality and patient safety program
2.The individual with oversight for the quality program selects and supports
qualified staff for the program
3.Support and coordination to department/ service leader across the hospital
4.Implement a training program for all staff
5.Regular communication of quality issues to all staff
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Management of Quality and Patient Safety
Measure Selection and Data Collection
QPS.2 Quality and patient safety program staff support the measure selection
process throughout the hospital and provide coordination and integration of
measurement activities throughout the hospital.
Measure selection is a leadership responsibility.
The leadership of the hospital decides the priority areas to measure
for the entire hospital (GLD.5)
The measure selection process for each department/service. (GLD.11 and GLD.11.1)
All departments and services—clinical and managerial—select
measures related to their priorities.
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Indicator Selection
Standard
Indicator Guideline USA : The Joint Commission
Library of Measures (LOM) : Joint Commission International
Agency for Healthcare Research and Quality (AHRQ)
The healthcare accreditation institute (Thailand)
Best practice
Core service
Risk Assessment
Occurrence / Complaint
Medical record Audit
Tracer result
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Measure Selection and Data Collection
QPS.2 Measurable Elements
1. Quality program supports the selection of measures.
2. Quality program coordinate and integration of measurement activities
throughout the hospital.
3. Quality program provides for the integration of event reporting systems,
safety culture measures and others to facilitate integrated solution and
improvement.
4. Tracks progress on the planned collection of measure data.
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Measure Selection and Data Collection
QPS.3 The quality and patient safety program uses current scientific and other
information to support patient care, health professional education, clinical
research, and management.
Health care practitioners, researchers, educators, and managers often need
information to assist with their responsibilities.
Such information may include scientific and management literature, clinical
practice guidelines, research findings, and educational methodologies.
The Internet, print materials in a library, online search sources, and personal
materials are all valuable sources of current information.
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Measure Selection and Data Collection
QPS.3 Measurable Elements
1. Current scientific and other information supports patient care.
2. Current scientific and other information support clinical education.
3. Current scientific and other information support research.
4. Current scientific and other information support management.
5. Information is provided in a time frame that meets user expectations.
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Measure Selection and Data Collection
QPS.4 The quality and patient safety program includes the aggregation and
analysis of data to support patient care, hospital management, and the quality
management program and participation in external databases.
Aggregate data provide a profile of the hospital over time and allow the
comparison of the hospital’s performance with other organizations, particularly
on the hospitalwide measures selected by leadership.
In particular, aggregate data from risk management, utility system management,
infection prevention and control, and utilization review can help the hospital
understand its current performance and identify opportunities for improvement.
External databases also are valuable in the ongoing monitoring of professional
practice as described in SQE.11.
A hospital can compare itself to that of other similar hospitals locally,
nationally, and internationally.
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Analysis and Validation of Measurement Data
QPS.4 Measurable Elements
1. Process to aggregate data.
2. Support patient care, hospital management, professional practice review,
and the overall quality and patient safety program
3. Provided to agencies outside when required by laws or regulations.
4. Contribute and learn from external databases for comparison purposes.
5. Security and confidentiality are maintained when using external databases
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Analysis and Validation of Measurement Data
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Analysis and Validation of Measurement Data
Compared with itself over time
Compared with standard / best practices
QPS.4.1 Individuals with appropriate experience, knowledge, and skills
systematically aggregate and analyze data in the hospital.
Data analysis involves individuals who understand information
management, have skills in data aggregation methods, and know how
to use various statistical tools.
Results of data analysis need to be reported to those individuals
responsible for the process or outcome being measured and who can
take action on the results. Thus, data analysis provides continuous
feedback of quality management information to help those individuals
make decisions and continuously improve clinical and managerial
processes.
The frequency of aggregated and analyzed process depends on the
activity or area being measured and the frequency of the measurement.
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Analysis and Validation of Measurement Data
The goal of data analysis is to be able to compare a hospital in four ways:
1. With itself over time : month to month, or one year to the next
2. With other similar organizations :reference databases
3. With standards : accrediting and professional bodies , laws or regulations
4. With recognized desirable practices : best or better practices or practice
guidelines
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Analysis and Validation of Measurement Data
QPS.4 Measurable Elements
1. Data are aggregated, analyzed, and transformed into useful information to identify opportunities for improvement.
2. Individuals with appropriate clinical or managerial experience, knowledge, and skills participate in the process.
3. Statistical tools and techniques are used
4. The frequency of data analysis is appropriate to the process or outcome being studied.
5. Results of analysis are reported to those accountable for taking action. (GLD.1.2, ME 2)
6. Data analysis supports comparisons internally over time, including comparisons with databases of like organizations, with best practices, and with objective scientific professional sources.
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Analysis and Validation of Measurement Data
QPS.5 The data analysis process includes at least one determination per year
of the impact of hospitalwide priority improvements on cost and efficiency.
The quality and patient safety program includes an analysis of the
impact of priority improvements as supported by leadership (GLD.5).
There is evidence to support that the use of clinical practice guidelines
to standardize care has a significant impact on efficiency of care and a
reduction in the length of stay, which ultimately reduces costs.
The quality and patient safety program staff develop tools to evaluate
the use of resources for the existing process and then reevaluate the use
of resources for the improved process.
The analysis will provide useful information on which improvements
impact efficiency and therefore cost.
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Analysis and Validation of Measurement Data
QPS.5 Measurable Elements
1. At least one impact analysis of cost efficiency per year of an improvement project
2. Evaluate and re-evaluate the use of resources for the current and improved process and Coordination with other departments: HR, IT, Finance
3. Report result to leadership
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Analysis and Validation of Measurement Data
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Analysis and Validation of Measurement Data
QPS.6 The hospital uses an internal process to validate data.
Data validation is most important when…..
a) evaluate and improve an important clinical process or outcome;
b) data will be made public on the hospital’s website or in other ways;
c) a change has been made to an existing measure ; the data collection
tools changed etc.
d) the data resulting from an existing measure have changed in an
unexplainable way;
e) the data source has changed ; part of the patient record turned into an
electronic format
f) the subject of the data collection has changed ; research protocol
alterations, new practice guidelines implemented, or new technologies and
treatment methodologies introduced etc.
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• Data validation is an important tool for understanding the quality of the
data and for establishing the level of confidence decision makers can have
in the data.
• Data validation becomes one of the steps in the process of setting priorities
for measurement, selecting what is to be measured, extracting or collecting
the data, analyzing the data, and using the findings for improvement.
• When a hospital publishes data on clinical outcomes, patient safety, or
other areas, or in other ways makes data public, such as on the hospital’s
website, the hospital has an ethical obligation to provide the public with
accurate information. Hospital leadership is accountable for ensuring that
the data are valid.
• Reliability and validity of measurement and quality of data can be
established through the hospital’s internal data validation process or,
alternatively, can be judged by an independent third party, such as an
external company contracted by the hospital. (GLD.6)
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Analysis and Validation of Measurement Data
QPS.6 Measurable Elements
1. Data validation is used as a component of the improvement process
selected by leadership.
2. Data are validated when any of the conditions noted in a) through f) in
the intent are met.
3. An established methodology for data validation is used.
4. Hospital leadership assumes accountability for the validity of the quality
and outcome data made public
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Analysis and Validation of Measurement Data
QPS.7 The hospital uses a defined process for identifying and managing
sentinel events.
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Analysis and Validation of Measurement Data
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A sentinel event is an
unanticipated occurrence
involving death or serious
physical or psychological
injury. Serious physical
injury specifically includes
loss of limb or function.
Such events are called
sentinel because
they signal the need for
immediate investigation and response.
Establishes an operational definition of a sentinel
event that includes at least
a) an unanticipated death,
b) major permanent loss of function unrelated to
the patient’s natural course of illness or
underlying condition;
c) wrong-site, wrong-procedure, wrong-patient
surgery;
d) transmission of a chronic or fatal disease or
illness as a result of infusing blood or blood
products or transplanting contaminated organs
or tissues;
e) infant abduction or an infant sent home with
the wrong parents; and
f) rape, workplace violence ; assault, homicide
(willful killing) of a patient
• Accurate details of the
event are essential to a
credible root cause
analysis, thus the root
cause analysis needs to be
performed as soon after
the event as possible.
• The analysis and action
plan is completed within
45 days of the event or
becoming aware of the
event.
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Analysis and Validation of Measurement Data
prevent or reduce the risk of such sentinel events recurring,
the hospital redesigns the processes and takes whatever other actions
QPS. 7 Measurable Elements
1. Hospital leadership has established a definition of a sentinel event that at
least includes a) through f ) found in the intent.
2. The hospital completes a root cause analysis of all sentinel events and in
a time period specified by hospital leadership that does not exceed 45 days
from the date of the event or when made aware of the event.
3. The root cause analysis identifies the origins of the event that may lead
to improvements and/or actions to prevent or reduce the risk of the sentinel
event recurring.
4. Hospital leadership takes action on the results of the root cause analysis
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Analysis and Validation of Measurement Data
Sentinel event and medical error are not synonymous. An incident as a sentinel event is not an indicator of legal liability.
Survey Tip QPS.7 • Will look for you to have done a credible RCA down
to the origin of the event
• Then, how did you use/apply that key information
• In fact, this could be used prospectively towards a possible new process and in the form of FMEA
• Some RCAs are too superficial; watch policy definitions
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Analysis and Validation of Measurement Data
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Analysis and Validation of Measurement Data
QPS.8 Data are always analyzed when undesirable trends and variation are
evident from the data.
The hospital collects data on diverse and different areas of patient care
services periodically.
In order to do so there must be reliable mechanisms of reporting outcomes
to ensure quality services.
Those that pose patient safety risk are identified and monitored.
Data collection should be sufficient to detect trends and patterns and will
vary depending on the service frequency and/or the risk for patients.
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Data gathering and analysis are conducted for at least the following:
a) All confirmed transfusion reactions, if applicable to the hospital (COP.3.3)
b) All serious adverse drug events, if applicable and as defined by the hospital
(MMU.7, ME 3)
c) All significant medication errors, if applicable and as defined by the hospital
(MMU.7.1, ME 2)
d) All major discrepancies between preoperative and postoperative diagnoses;
for example, a preoperative diagnosis of intestinal obstruction and a postoperative
diagnosis of ruptured abdominal aortic aneurysm (AAA)
e) Adverse events or patterns of adverse events during procedural sedation
regardless of administration site (ASC.3.2 and ASC.5)
f ) Adverse events or patterns during anesthesia regardless of administration site
g) Other adverse events; for example, health care–associated infections and
infectious disease outbreaks (PCI.7.1, ME 6)
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Analysis and Validation of Measurement Data
Intense analysis & Improvement
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QPS.8 Measurable Elements of
1. Defined data gathering processes are developed and implemented to ensure
accurate data gathering, analysis, and reporting.
2. Intense analysis of data takes place when adverse levels, patterns, or trends
occur.
3. Data gathering and analysis are performed on items a) through g) of the intent.
4. Results of analyses are used to implement actions to improve the quality and
safety of the service, treatment, or function. (PCI.10, ME 3)
5. Outcome data are reported to the governing entity as part of the quality
improvement and patient safety program. (GLD.4.1, ME 1)
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Analysis and Validation of Measurement Data
Surveyor Tips: QPS.8 • What are your sources of data? Think more than just closed record reviews: occurrence reports (On-line to Quality Program?); open record reviews; daily rounds related to KPIs • Make your data results work for you; try something • Keep a track record of all that goes to Governance
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Analysis and Validation of Measurement Data
QPS.9 The organization uses a defined process for the
identification and analysis of near-miss events.
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Analysis and Validation of Measurement Data
• First, the hospital establishes a
definition of a near miss and what
types of events are to be reported.
• Near miss applies to more than
potential medication errors. Near
misses also include other types of
adverse events.
• Second, a reporting mechanism is put
into place, and finally there is a
process to aggregate and analyze the
data to learn where proactive process
changes will reduce or eliminate the
related event or near miss. (MMU.7.1
and QPS.11)
Near miss = Any process variation that did not
affect an outcome but for which a recurrence
carries a significant chance of a serious adverse
outcome. Such a “near miss” falls within the scope of the definition of an adverse event.
Adverse event = An unanticipated,
undesirable, or potentially dangerous occurrence in a health care organization.
QPS.9 Measurable Elements
1. Establishes a definition of a near miss
2. Defines types of events are to be reported.
3. Establishes the process for the reporting of near misses
4. The data are analyzed and actions taken to reduce near-miss events
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Analysis and Validation of Measurement Data
QPS.10 Improvement in quality and safety is achieved and sustained.
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Gaining and Sustaining Improvement
• The information from data analysis is used to identify potential
improvements or to reduce (or prevent) adverse events.
• After an improvement(s) is planned, data are collected during a
test period to demonstrate that the planned change was actually an
improvement.
• To ensure that the improvement is sustained, measurement data
are then collected for ongoing analysis.
• Effective changes are incorporated into standard operating
procedure, and any necessary staff education is carried out.
• The hospital documents those improvements achieved and
sustained as part of its quality management and improvement
program. ( GLD.11, ME 4)
A
Risk Profile / Risk Assessment
Unit Performance Measurement
B
Prioritization CQI
Unit Performance Measurement flow 47
QPS.10 Measurable Elements
1. Improvements in quality and patient safety are planned, tested, and
implemented
2. Data demonstrates that improvements are effective and sustained
3. Policy changes necessary to plan, to carry out, and to sustain the
improvement are made.
4. Successful improvements are documented.
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Gaining and Sustaining Improvement
Categories of risks include
1. strategic (those associated with
organizational goals);
2. operational (plans developed to
achieve organizational goals);
3. financial (safeguarding assets);
4. compliance (adherence to laws
and regulations); and
5. reputational (the image
perceived by the public).
Formalized risk management
program
a) risk identification;
b) risk prioritization;
c) risk reporting;
d) risk management, to include risk
analysis (MMU.7.1, QPS.7, QPS.8,
and QPS.9); and
e) management of related claims
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QPS.11 Risk management program is used to identify and to proactively reduce unanticipated adverse events and other safety risks to patients and staff.
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Gaining and Sustaining Improvement
QPS.11 Measurable Elements
1. Risk management framework includes a) through e) in the intent.
2.Leadership identifies and prioritizes potential risks associated with at least
the strategic, financial, and operational functions of the hospital.
3. At least annually, a proactive risk-reduction is conducted on one of the
priority risk processes. (FMEA , HVA or Similar tools)
4. High-risk processes are redesigned based on the analysis of the test results.
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Gaining and Sustaining Improvement
Surveyor Tips: QPS.11 • Remember that proactive means not looking back at a past occurrence • Six categories of risks that can impact • Be prepared to show/explain in the Quality Program Interview • Ensure formal documentation
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Gaining and Sustaining Improvement