Measurement Models in Quality of Healthcare Flashcards

(43 cards)

1
Q

What is the definition of quality in healthcare?

A

The degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge

This definition is based on the IOM, 1990.

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2
Q

Why is it important to measure healthcare quality?

A

To demonstrate whether improvement efforts lead to desired changes, contribute to unintended results, or require additional efforts to maintain acceptable ranges.

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3
Q

What are the three quality-of-care dimensions in the Donabedian model?

A
  • Structure
  • Process
  • Outcomes
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4
Q

What does the ‘structure’ dimension in the Donabedian model refer to?

A

The context in which care is delivered, including facilities, equipment, and qualifications of medical staff.

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5
Q

What are process measures in healthcare quality assessment?

A

Activities done by clinicians/providers to produce better outcomes among service clients.

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6
Q

What are outcomes in the context of healthcare quality?

A

The effects/impact of healthcare on the health status of patients and populations.

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7
Q

What are the 5 Ds in historical classification of outcomes?

A
  • Death
  • Disease
  • Disability
  • Discomfort
  • Dissatisfaction
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8
Q

What are balancing measures?

A

Measures that reflect unintended and/or wider consequences of change, which can be positive or negative.

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9
Q

What is a composite indicator in healthcare quality measurement?

A

An aggregation of different aspects of quality into one measure to provide a clearer picture of overall quality.

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10
Q

What are advantages of structural measures?

A
  • Easy and inexpensive to measure
  • Easy to standardize or adjust measurement
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11
Q

What are disadvantages of process measures?

A
  • May be incomplete due to poor recording
  • May have unclear links to outcomes
  • Often too specific
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12
Q

What are strengths of outcome indicators?

A
  • High face validity
  • Reflect all inputs and processes of care
  • Valuable for high-level program analysis
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13
Q

What are weaknesses of outcome indicators?

A
  • Affected by factors unrelated to inputs
  • Require long time horizons to show results
  • Data collection challenges
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14
Q

What was the objective of the study assessing diabetes care quality in Southern Ethiopia?

A

To assess the level of quality of care provided to adult type 2 diabetes patients in public hospitals.

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15
Q

What were the main findings regarding adherence to prescribed medicines in the diabetes care study?

A

Only 24.3% of patients adhered to prescribed medicines.

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16
Q

What are the IOM dimensions of quality in health care?

A
  • Safe
  • Effective
  • Patient-centered
  • Timely
  • Efficient
  • Equitable
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17
Q

What does the QIQ model stand for?

A

Quick Investigation of Quality

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18
Q

What is the purpose of the Archimedes model?

A

To provide decision makers with quantitative information about outcomes from different clinical and administrative policies.

19
Q

What are the four main parts of the Archimedes model?

A
  • Physiological component
  • Population model
  • Healthcare system model
  • Outcomes model
20
Q

What is the role of the physiological component in the Archimedes model?

A

It represents the physiology of each simulated person and their interactions with diseases and healthcare.

21
Q

What type of analyses can the Archimedes model be used for?

A
  • Evaluating cost-effectiveness
  • Designing clinical management tools
  • Estimating outcomes for patients
22
Q

Fill in the blank: The Donabedian model was developed in _____

23
Q

True or False: Outcomes in the Donabedian model can be manipulated.

24
Q

What are clinical management tools?

A

Guidelines, performance measures, strategic goals, disease management programs, priorities, and continuous quality improvement programs

These tools are designed for effective clinical management.

25
What is cost-effectiveness analysis in clinical settings?
Evaluating and performing cost-effectiveness analyses of clinical and administrative programs ## Footnote This helps determine the economic viability of healthcare interventions.
26
What does designing and interpreting clinical research involve?
Setting priorities for new trials, planning trials, and estimating outcomes for specific patients ## Footnote This is crucial for advancing medical knowledge and treatment options.
27
What is the importance of data completeness?
Data properly include all patients with no missing cases ## Footnote Completeness ensures that analyses are based on comprehensive data.
28
Define comprehensiveness in the context of data analysis.
Refers to whether the data contain all relevant variables needed for analysis ## Footnote This includes diagnosis codes, laboratory test results, and procedures performed.
29
What does validity mean in data collection?
Means that the data accurately reflect reality and are free of bias and errors ## Footnote Valid data is essential for reliable conclusions.
30
What is timeliness in data availability?
Data are available for use without considerable delay ## Footnote Timely data is critical for effective decision-making.
31
What type of data do administrative data include?
Billing data, routine documentation such as discharge data from hospitals ## Footnote This data often includes patient identifiers and demographic information.
32
What information do medical records contain?
In-depth clinical information, patient’s condition, tests, treatments received, and follow-up care ## Footnote Medical records are vital for understanding a patient's health history.
33
What do disease-specific registers include?
Data on severity of disease at diagnosis, diagnostics and treatment, laboratory tests, patient-reported outcomes ## Footnote These registers help track disease progression and treatment effectiveness.
34
What is a facility audit?
An assessment to determine the readiness of each facility to serve the client ## Footnote It collects information about services provided, supplies in stock, and records kept.
35
What is the purpose of observations in data collection?
To observe client-provider interactions and evaluate the performance of the provider during clinical sessions ## Footnote This helps assess technical competence in counseling and procedures.
36
What do exit interviews aim to gather?
Information about the client's experience at a given health facility ## Footnote They provide insights from the client's perspective.
37
Why are surveys important in healthcare?
They are useful for outcome data and understanding patient experiences with healthcare services ## Footnote Surveys can include generic or disease-specific tools.
38
What is the Hawthorne effect?
Providers may behave differently while under observation ## Footnote This can impact the accuracy of data collected during evaluations.
39
What is inter-observer bias?
Variability in observations made by different observers ## Footnote It can affect the reliability of collected data.
40
What is recall bias?
Bias that occurs during exit interviews when respondents may not accurately remember their experiences ## Footnote This can lead to skewed data results.
41
What is courtesy bias?
Respondents respond positively about services they have received at a facility ## Footnote This can result in misleading evaluations of service quality.
42
How can the effects of biases be minimized?
Through careful appraisal of data sources and methodology used ## Footnote Implementing robust data collection methods can help mitigate these effects.
43
What is the Archimedes Healthcare Simulator?
A tool for improving the quality and efficiency of health care ## Footnote It serves as an analytical model for healthcare decision-making.