Lesson 8: HMIS Data Quality Flashcards

(80 cards)

1
Q

The overall utility of a database(s) as a function of its ability to be processed easily and analyzed for a database, data warehouse, or data analytics system

A

Data quality

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2
Q

What are the 8 aspects of data quality?

A
  • accuracy
  • completeness
  • update status (updated)
  • relevance
  • consistency
  • reliability
  • appropriate presentation
  • accessibility
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3
Q

It is a perception of the data’s ____ to serve its purpose in a given context

A

appropriateness

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4
Q

This can be done to raise the quality of available data

A

Data cleansing

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5
Q

This is a tool that allows the use of small random samples to distinguish between groups of data elements (or Lots) with high and low data quality

A

Lot Quality Assessment Sampling (LQAS)

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6
Q

For health managers and supervisors, using ____ makes conducting surveys or supervision more efficient

A

small samples

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7
Q

This technique has a wide application in the industry for decades and has primarily been used for quality assurance of products

A

LQAS

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8
Q

The concept and application of LQAS has been adopted in the context of ____ data quality assurance

A

District Health Information System

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9
Q

Group of data elements as ‘____’ to provide representative samples for data quality assurance of DHIS

A

Lots

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10
Q

Steps in Applying LQAS

Define the ____ to be assessed

A

service

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11
Q

Steps in Applying LQAS

Identify the unit of ____: a supervisory area, facility, hospital, a district

A

interest

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12
Q

Steps in Applying LQAS

Define the higher and lower thresholds of ____ based on prior information about the expected performances of the region of interest

A

performance

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13
Q

Steps in Applying LQAS

Determine the level of ____

A

acceptable error

acceptance error” in erudite

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14
Q

Steps in Applying LQAS

From a table, determine the sample size and decision rule for acceptable errors to declare an area as performing “____”

A

below expectations

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15
Q

Steps in Applying LQAS

The number of errors observed (mismatched data elements) will determine ____ if the facility is performing below or above expectations

A

reliability

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16
Q

A simplified version of the Data Quality Audit (DQA) which allows programs and projects to verify ans assess the quality of their reported data

A

Routine Data Quality Assessment (RDQA)

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17
Q

This also aims to strengthen their data management and reporting systems

A

Routine Data Quality Assessment (RDQA)

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18
Q

Objectives of Routine Data Quality Assessment (RDQA)

the quality of reported data for indicators at selected sites

A

verify rapidly

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19
Q

Objectives of Routine Data Quality Assessment (RDQA)

the ability of data mangement systems to collect, manage, and report quality data

A

verify rapidly

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20
Q

Objectives of Routine Data Quality Assessment (RDQA)

corrective measures with action plans for strengthening the data management and reposrting system and improving dataa quality

A

implement

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21
Q

Objectives of Routine Data Quality Assessment (RDQA)

capacity improvements and performance of the data management and reporting system to produce quality data

A

monitor

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22
Q

The ____ is designed to be flexible in use and serve multiple purposes

A

Routine Data Quality Assessment (RDQA)

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23
Q

Uses of Routine Data Quality Assessment (RDQA) tool

____ can be included in already planned supervision visits at the service delivery sites

A

Routine data quality checks

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24
Q

Uses of Routine Data Quality Assessment (RDQA) tool

____ of a system’s ability to collect and report quality data at all levels can be used to identify gaps and monitor necessary improvements

A

repeated assessments

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25
# Uses of Routine Data Quality Assessment (RDQA) tool ____ can be trained on the RDQA and be sensitized to the need to strengthen the key functional areas linked to data management and reporting in order to produce quality data
M & E staff
26
The ____ can help identify data quality issues and areas of weakness in the data management and reporting system that would need to be strengthened to increase readiness for a formal data quality audit
RDQA tool
27
Such use of the RDQA for ____ could be more frequent, more streamlined and less resource intensive than comprehensive data quality audits that use the DQA version for auditing
external assessment
28
An ____ is a project management tool that shows how a project will evolve at a high level
implementation plan
29
This help ensire that a development team is working to deliver and complete tasks on time (Visual Paradigm, 2009)
implementation plan
30
The development of an ____ is important to ensure that the communication between those who are involved in the project will not encounter any issues and worl will also be delivered on time
implementation plan
31
This validates the estimation and schedule of the project plan
implementation plan
32
What are the key components of implementation plan?
* Define goals/objectives * Schedule milestones * Allocate resources * designate team member responsibilities * define metrics for success
33
# Key components of an implementation plan answers the question "*what do you want to accomplish?*"
define goals/objectives
34
# Key components of an implementation plan outline the high level schedule in the implementation phase
schedule milestones
35
# Key components of an implementation plan determine whether you have sufficient resources, and decide how you will procure what is missing
allocate resources
36
# Key components of an implementation plan how will you determine if you have achieved your goal?
define metrics for success
37
This analyzes information and identifies incomplete or incorrect data
data quality tool
38
What follows after the completion of the profiling of data concerns?
data cleansing
39
# Data quality tools refers to the decomposition of fields into component parts and formatting the values into consistent layouts based on industry standards and patterns and user-friendly business rules
parsing and standardization
40
# Data quality tools means the modification of data values to meet domain restrictions, constraints or integrity, or other rules that define data quality as sufficient for the organization
generalized "cleansing"
41
# Data quality tools the identification and merging related entries within or across data sets
matching
42
# Data quality tools this is the deployment of controls to ensure conformity of data to business rules set by the organization
monitoring
43
# Data quality tools this is enhancing the value of the data by using related attributes from external sources such as consumer demographi attributes or geographic descriptors
enrichment
44
The first generation data data quality tools was characterized by dedicated ____ to address normalization and de-duplication
data cleansing tools
45
Recently, these tools started to focus on ____, whcih generally integrate profiling, parsing, standardization, cleansing, and matching processes
Data Quality Management (DQM)
46
A class of problem-solbing methods aimed at identifying the root cause of the problems or events instead of simply addressing the obvious symptoms
root cause analysis
47
The aim of this is to improve the qulity of the products by using systematics ways in order to be effective
root cause analysis
48
This is among the core building blocks in the continuous improvement efforts of the organization
root cause analysis
49
# Techniques in Root Cause Analysis A technique that does not only work for a clever kid wanting to get his or her way but can also help in identifying the root cause/s of a problem
Ask why 5 times
50
# Techniques in Root Cause Analysis It is practically done by identifying the problem at hand and progressively unveiling the underlying causes by asking "why" five times
Ask "why" five times
51
# Techniques in Root Cause Analysis A system failure may take place in varying modes, and a well-known technique used to identify these modes is ____
Failure mode and effects analysis (FMEA)
52
# Techniques in Root Cause Analysis Determines all failure modes
failure mode and effects analysis (FMEA)
53
# Techniques in Root Cause Analysis Determine of the number of times a cause of failure occurs
Failure mode and effects analysis (FMEA)
54
# Techniques in Root Cause Analysis Identifies actions implemented to prevent a cause of failure from recurring
failure mode and effects analysis (FMEA)
55
# Techniques in Root Cause Analysis Checks if the actions are effective and efficient
failure mode and effects analysis (FMEA)
56
# Techniques in Root Cause Analysis The utilization of this technique, which would also require updating, takes place when: * a new product or process is manufactured * changes are made to current conditions, or to the design * new regulations are implemented * there is a problem identified through customer feedback
failure mode and effects analysis (FMEA)
57
# Techniques in Root Cause Analysis This technique is based on the Pareto principle, which states that 20% of the work creates 80% of the results
Pareto analysis
58
# Techniques in Root Cause Analysis This is very helpful especially when there are multiple causes to a problem
Pareto analysis
59
# Techniques in Root Cause Analysis The table should reflect at least 80% of the causes involved in the problem
Pareto Analysis
60
# Techniques in Root Cause Analysis In this technique, root causes of an undesirable event are determined using *Boolean Logic*
Fault Tree Analysis
61
# Techniques in Root Cause Analysis Root causes are listed in a diagram shaped like an inverted tree
Fault tree analysis
62
# Techniques in Root Cause Analysis Commonly used in risk analysis and safety analysis
Fault Tree Analysis
63
# Techniques in Root Cause Analysis This technique starts by identifying the undesirable result and placing it at the top of the diagram. All potential causes are then listed down from it, until the root cause/s is identified
Fault Tree Analysis
64
# Techniques in Root Cause Analysis When one desires to get the root causes of all the problems in a system all at one, the ____ is commonly employed
current reality tree
65
# Techniques in Root Cause Analysis As with the previous two techniques, the first step is to identify the problem, or which in this case, problems. 'If-then' statements are used in charting the problems
current reality tree
66
# Techniques in Root Cause Analysis Thre tree that is produed using this analysis yields the potential cause for each problem identified
Current reality tree
67
# Techniques in Root Cause Analysis A technique that has been proven to be helpful in root cause analysis
Fishbone diagram/Ishikawa/Cause-and-effect diagrams
68
# Techniques in Root Cause Analysis This technique categorizes the causes into: * people * measurements * methods * materials * environment * machines
Fishbone diagram/ishikawa diagram/Cause-and-effect diagram
69
# Techniques in Root Cause Analysis What are the different categories that can be used in Fishbone diagram, industry wise?
4 S's for service 8 P's for service
70
# Techniques in Root Cause Analysis Also known as *rational process*
Kepner-Tregoe Technique
71
# Techniques in Root Cause Analysis This breaks down a problem to its root cause/s by not only identifying the causes but by appraising the situation as well
Kepner-Tregoe Technique
72
# Techniques in Root Cause Analysis * The priorities and orders for concerns are identified for specific issues * The problem analysis proceeds from hereon * Various decisions that must be made are then outlined in a step known as ***decision analysis*** * These decisions are then tested and verified through a potential problem analysis that they are sustainable
Kepner-Tregoe Technique
73
# Techniques in Root Cause Analysis Another technique that can be used for determining and analyzing root causes of a problem
Rapid Problem Resolution (RPR) Problem Diagnosis
74
# RPR Problem Diagnosis What are the three phases?
* Discover * Investigate * Fix
75
# RPR Problem Diagnosis: 3 Phases This is where designated workers gather data and analyze their findings
discover
76
# RPR Problem Diagnosis: 3 Phases team members come up with a diagnostic plan and carefully analyze the diagnostic data to identify the root cause
investigate
77
# RPR Problem Diagnosis: 3 Phases The problem is fixed and continuously being monitored to double check if the correct root cause was determined
Fix
78
Choo, Bergeron, Detlor, and Heaton (2008) stress that ____ affects the information use outcomes
information culture
79
The ____ is determined by the folloing variables: mission, history, leadership, employee traits, industry, national culture
information culture
80
The ____ plays an important part in sustaining the culture of information and should continuously work on maintaining and improving the quality of data and information used in their data operations
management