, TESTBANK FOR Population Health Analytics First Edition Sylvia
Important Notes
The file includes the complete test bank, organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
Quizzes, Midterm and final exams are included (if available in the original resources).
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
🔒 Safe & secure – thousands of satisfied students trust us every semester.
🛡️Our Guarantees
💰 Money-Back Guarantee: Not satisfied? We offer a full refund – no questions asked.
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correct version, free of charge.
⏰ 24/7 Support: We are always here – reach out anytime and expect a fast response.
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
True/False
1. Adding context to population health data can be an effective way of focusing analytic efforts to identify
actionable opportunity to improve health and reduce unnecessary healthcare costs.
Ans: True
Complexity: Easy
Ahead: Section III: Contextualizers
Subject: Chapter 1
Title: Introduction to Population Health Analytics
2. Population health is defined as the “distribution of health outcomes within a population, the health
determinates that influence this distribution and the policies and interventions that affect the
determinants.”
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Introduction to Population Health Analytics
3. The primary focus of PHA is to improve the financial health of the healthcare organization.
Ans: False
Complexity: Easy
Ahead: Population Health Analytics (PHA)
Subject: Chapter 1
Title: Introduction to Population Health Analytics
4. Population health data with context can help aid executive strategic planning, business decision-
making, and clinical decision support.
Ans: True
Complexity: Easy
Ahead: Section III: Contextualizers
Subject: Chapter 1
Title: Introduction to Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Matching
1. Match the following definitions with their terms.
1. These data are generated when providers and healthcare facilities bill payers for the provision of
healthcare services to patients.
Ans: medical claims data
2. This area seeks to obtain person-level data from multiple data sources on an ongoing basis to develop
evidence-based strategies directed at reversing negative trends in the health status of a defined
population that have been shown in the health literature to lead to overall increased costs, inappropriate
use of healthcare services, and overall decline in the health of the population.
Ans: population health management
3. Effectively managing the health of any population is made possible by transforming data into
information, gleaning insights from the information, and translating the insights into action.
Ans: population health analytics
4. The systematic computational transformation of data to insights to assess populations; identify health
outcome determinants; predict and prescribe preventable health conditions and events; drive decisions in
the development, implementation, and optimization of population-level interventions; and to monitor and
evaluate results.
Ans: population health analytics
5. These data are vast and varied and include any information that is collected to describe patients’ health
and treatment histories.
Ans: electronic medical records
6. Incorporates leading definitions of population health, the Triple Aim, and evidence-based practice,
follows innovative scientific methods and provides a practical translation of these methods into a seven-
phase process that carefully outlines the analytics needed at each step to successfully transform an idea
to results.
Ans: ForestVue Population Health Implementation and Analytics Framework
7. These data are considered one of the most complex sources of data to use in population health
analytics because of the wide variation of data structures and reporting and lack of standardization.
Ans: clinical lab data
8. These data are derived through patient treatment encounters with the healthcare system, either those
that result in a prescription being generated or those associated with filling a prescription.
Ans: pharmacy data
9. The conditions in which people are born, grow, live, work, learn, worship, and play.
Ans: social determinants of health
Complexity: Easy
Ahead: Section I: Chapter 1: Introduction & Chapter 2: Guiding Frameworks for Population Health
Analytics
Subject: Chapter 1
Title: Introduction to Population Health Analytics
2. Match the following definitions with their terms.
1. Combining demographic, consumer behavior, and health determinants with clinical and financial data
can enable a deeper understanding of this and further the development of analytic models that predict a
patient’s willingness and readiness to participate in a particular clinical program or intervention.
Ans: patient engagement
2. Data to identify coding patterns for suspected clinical conditions, verify patients’ existing conditions,
assess severity of illness, determine status of control of clinical indicators for illness, monitor morbidity
and mortality trends, and predict future cost, utilization, and worsening health outcomes.
Ans: disease burden
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
3. Data can be grouped into clinical episodes of care, evidence-based practice of medicine, and clinical
and administrative care pathways to identify diagnostic and clinical errors, administrative and
transactional inefficiencies, and promote cost-effective and cost-efficient programs and interventions.
Ans: waste
4. Person-level observations from multiple data sources at equally distant points in time that can be
aggregated to an entire population and segmented by smaller subgroupings.
Ans: Population Health Data Model
5. An environment built to hold historical data integrated from several source systems, often operational,
in an organized manner.
Ans: data warehouse
6. This approach is a way of controlling for observable differences between patients when paying for the
healthcare of those patients and is widely used in population health management.
Ans: risk adjustment
7. This method is used for identifying the right team members, setting clear roles and expectations,
realizing each team member’s potential, building trust, creating shared understanding, and practicing
open communication to transform the way health care is delivered to achieve extraordinary results.
Ans: PopHealth Troika (PHT)
Complexity: Easy
Ahead: Ahead: Section III: Contextualizers
Subject: Chapter 1
Title: Introduction to Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Multiple Choice
1. ForestVue Population Health Implementation and Analytics Framework:
A) is a healthcare financial management model.
B) serves as both a stepwise process to implement population health concepts and a guide for deploying
analytics across the population health continuum.
C) incorporates a 14-phase approach that outlines the analytics needed at each step.
D) All of these are correct.
Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
2. Population health is dependent on which of the following fields?
A) Public health
B) Economics
C) Healthcare administration
D) All of these are correct.
Ans: D
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
3. Which of the following is a determinant of one’s health?
A) Access to health care
B) Employment status
C) Housing quality
D) All of these are correct.
Ans: D
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
4. The Triple Aim is composed of which of the following?
A) Access to care
B) Quality of care
C) Affordable care
D) All of these are correct.
E) Access to and quality of care
Ans: D
Complexity: Easy
Ahead: The Triple Aim
Subject: Chapter 2
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Title: Guiding Frameworks for Population Health Analytics
5. Which of the following best describes searching the literature for ways to prevent acute events in
people with diabetic complications, determining clinical interventions and applying them at the point of
care?
A) Population health process
B) Population health management
C) Evidence-based practice
D) All of these are correct.
Ans: C
Complexity: Easy
Ahead: Evidence-Based Practice (EBP)
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
6. Which of the following models is a framework for healthcare organizations to measure their progress
toward analytic adoption, understand the level of analytics adoption in health care overall, evaluate
vendor-based solutions, and provide a reference point for presenting the many aspects of population
health analytics?
A) Analytics Capability Model
B) Healthcare analytics adoption model
C) ForestVue Population Health Implementation and Analytics Framework
D) None of these is correct.
Ans: B
Complexity: Easy
Ahead: Capability Models
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
True/False
1. Population health provides linkages between evidence-based information and practice, utilizes
analytics to drive decision-making, and supports healthcare organizations in effectively managing the risk
of their populations.
Ans: True
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
2. Population health management refers to the process of improving clinical health outcomes of a defined
group of individuals through targeted interventions supported by appropriate financial and care models.
Ans: True
Complexity: Easy
Ahead: What is Population Health?
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
3. It is estimated that 80% of health outcomes are attributable to health determinants.
Ans: True
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
4. The best analytic infrastructure uses standards-based procedures for data processing; appropriately
applies technology like grids and cloud-based services to support large volumes, velocities, and varieties
of data; supports analytics for the entirety of the organization; is nimble in the ability to support new and
innovative analytic undertakings; and fully integrates systems data.
Ans: True
Complexity: Easy
Ahead: Analytic Capabilities
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
5. It is required that organizations delay higher-level capabilities until achieving optimal performance in
lower levels when working in an analytics capability model.
Ans: False
Complexity: Easy
Ahead: Analytic Capabilities
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Matching
1. Match the description with the phase it best describes.
1. This phase begins with an exploration of the health determinants within a population from an analytical,
clinical, and business perspective, also referred to as the team triad of the clinician, analyst, and business
expert.
Ans: assess phase
2. This phase ensures that the intervention is being delivered as intended and that progress is being
made toward achieving desired outcomes. During this phase, all stakeholders have a role in reviewing
and interpreting reporting about the interventions.
Ans: monitor phase
3. Analytics in this phase examine the relationship between health determinants and health outcomes
with the goal of settling on a set of recommendations based on the findings.
Ans: focus phase analytics
4. A method of predicting the likelihood or the estimate of poor outcomes based on health determinants is
identified.
Ans: predict phase
5. Functions during this phase are first focused on ensuring that the analytics that were made operational
are working as intended. Identification and risk-stratification models are analyzed to ensure that the right
patients are associated with the right interventions.
Ans: implement phase analytics
6. Analytics during these phases produce patient-level reporting and dashboards used to track key
program process and outcome metrics defined in the develop phase. The design for reporting metrics is
tailored to the information needed at each level and type of stakeholder for the intervention.
Ans: monitor and optimize phase analytics
7. During this phase, interventions are created with the specific needs of the defined population in mind
and informed by previous phases. Information about the drivers of outcomes is used to determine which
intervention will be implemented and is usually determined by a team of stakeholders, including business,
clinical, and analytic leaders.
Ans: develop phase
Complexity: Easy
Ahead: Population Health Analytics
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
, Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Multiple Choice
1. Medical claims data can be used to derive information about which of the following?
A) Grouping of illness
B) Patterns of healthcare use
C) Quality and cost outcomes
D) All of these are correct.
E) Grouping of illness and patterns of healthcare use
Ans: D
Complexity: Easy
Ahead: Executive Summary
Subject: Chapter 3
Title: Medical Administrative Claims Data for Population Health Analytics
2. Medical claims data:
A) are a primary data source.
B) provide information about patient diagnoses.
C) provide information about healthcare services used for treatment of medical conditions.
D) All of these are correct.
E) provide information about patient diagnoses and healthcare services used for treatment of medical
conditions.
Ans: E
Complexity: Easy
Ahead: Executive Summary
Subject: Chapter 3
Title: Medical Administrative Claims Data for Population Health Analytics
3. People may receive health insurance through which of the following routes?
A) Employer-sponsored health plan
B) Medicaid
C) Medicare
D) Veteran’s Benefits Administration
E) All of these are correct.
Ans: E
Complexity: Easy
Ahead: Introduction
Subject: Chapter 3
Title: Medical Administrative Claims Data for Population Health Analytics
4. Which of the following describes an institutional provider?
A) Occupational therapy services
B) Speech pathology services
C) Hospice organizations
D) Community mental health center
E) All of these are correct.
F) Occupational therapy and speech pathology services
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
Important Notes
The file includes the complete test bank, organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
Quizzes, Midterm and final exams are included (if available in the original resources).
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
🔒 Safe & secure – thousands of satisfied students trust us every semester.
🛡️Our Guarantees
💰 Money-Back Guarantee: Not satisfied? We offer a full refund – no questions asked.
🔄 Wrong File? No Problem: Contact us and we will replace it immediately with the
correct version, free of charge.
⏰ 24/7 Support: We are always here – reach out anytime and expect a fast response.
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
True/False
1. Adding context to population health data can be an effective way of focusing analytic efforts to identify
actionable opportunity to improve health and reduce unnecessary healthcare costs.
Ans: True
Complexity: Easy
Ahead: Section III: Contextualizers
Subject: Chapter 1
Title: Introduction to Population Health Analytics
2. Population health is defined as the “distribution of health outcomes within a population, the health
determinates that influence this distribution and the policies and interventions that affect the
determinants.”
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Introduction to Population Health Analytics
3. The primary focus of PHA is to improve the financial health of the healthcare organization.
Ans: False
Complexity: Easy
Ahead: Population Health Analytics (PHA)
Subject: Chapter 1
Title: Introduction to Population Health Analytics
4. Population health data with context can help aid executive strategic planning, business decision-
making, and clinical decision support.
Ans: True
Complexity: Easy
Ahead: Section III: Contextualizers
Subject: Chapter 1
Title: Introduction to Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Matching
1. Match the following definitions with their terms.
1. These data are generated when providers and healthcare facilities bill payers for the provision of
healthcare services to patients.
Ans: medical claims data
2. This area seeks to obtain person-level data from multiple data sources on an ongoing basis to develop
evidence-based strategies directed at reversing negative trends in the health status of a defined
population that have been shown in the health literature to lead to overall increased costs, inappropriate
use of healthcare services, and overall decline in the health of the population.
Ans: population health management
3. Effectively managing the health of any population is made possible by transforming data into
information, gleaning insights from the information, and translating the insights into action.
Ans: population health analytics
4. The systematic computational transformation of data to insights to assess populations; identify health
outcome determinants; predict and prescribe preventable health conditions and events; drive decisions in
the development, implementation, and optimization of population-level interventions; and to monitor and
evaluate results.
Ans: population health analytics
5. These data are vast and varied and include any information that is collected to describe patients’ health
and treatment histories.
Ans: electronic medical records
6. Incorporates leading definitions of population health, the Triple Aim, and evidence-based practice,
follows innovative scientific methods and provides a practical translation of these methods into a seven-
phase process that carefully outlines the analytics needed at each step to successfully transform an idea
to results.
Ans: ForestVue Population Health Implementation and Analytics Framework
7. These data are considered one of the most complex sources of data to use in population health
analytics because of the wide variation of data structures and reporting and lack of standardization.
Ans: clinical lab data
8. These data are derived through patient treatment encounters with the healthcare system, either those
that result in a prescription being generated or those associated with filling a prescription.
Ans: pharmacy data
9. The conditions in which people are born, grow, live, work, learn, worship, and play.
Ans: social determinants of health
Complexity: Easy
Ahead: Section I: Chapter 1: Introduction & Chapter 2: Guiding Frameworks for Population Health
Analytics
Subject: Chapter 1
Title: Introduction to Population Health Analytics
2. Match the following definitions with their terms.
1. Combining demographic, consumer behavior, and health determinants with clinical and financial data
can enable a deeper understanding of this and further the development of analytic models that predict a
patient’s willingness and readiness to participate in a particular clinical program or intervention.
Ans: patient engagement
2. Data to identify coding patterns for suspected clinical conditions, verify patients’ existing conditions,
assess severity of illness, determine status of control of clinical indicators for illness, monitor morbidity
and mortality trends, and predict future cost, utilization, and worsening health outcomes.
Ans: disease burden
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
3. Data can be grouped into clinical episodes of care, evidence-based practice of medicine, and clinical
and administrative care pathways to identify diagnostic and clinical errors, administrative and
transactional inefficiencies, and promote cost-effective and cost-efficient programs and interventions.
Ans: waste
4. Person-level observations from multiple data sources at equally distant points in time that can be
aggregated to an entire population and segmented by smaller subgroupings.
Ans: Population Health Data Model
5. An environment built to hold historical data integrated from several source systems, often operational,
in an organized manner.
Ans: data warehouse
6. This approach is a way of controlling for observable differences between patients when paying for the
healthcare of those patients and is widely used in population health management.
Ans: risk adjustment
7. This method is used for identifying the right team members, setting clear roles and expectations,
realizing each team member’s potential, building trust, creating shared understanding, and practicing
open communication to transform the way health care is delivered to achieve extraordinary results.
Ans: PopHealth Troika (PHT)
Complexity: Easy
Ahead: Ahead: Section III: Contextualizers
Subject: Chapter 1
Title: Introduction to Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Multiple Choice
1. ForestVue Population Health Implementation and Analytics Framework:
A) is a healthcare financial management model.
B) serves as both a stepwise process to implement population health concepts and a guide for deploying
analytics across the population health continuum.
C) incorporates a 14-phase approach that outlines the analytics needed at each step.
D) All of these are correct.
Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
2. Population health is dependent on which of the following fields?
A) Public health
B) Economics
C) Healthcare administration
D) All of these are correct.
Ans: D
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
3. Which of the following is a determinant of one’s health?
A) Access to health care
B) Employment status
C) Housing quality
D) All of these are correct.
Ans: D
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
4. The Triple Aim is composed of which of the following?
A) Access to care
B) Quality of care
C) Affordable care
D) All of these are correct.
E) Access to and quality of care
Ans: D
Complexity: Easy
Ahead: The Triple Aim
Subject: Chapter 2
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Title: Guiding Frameworks for Population Health Analytics
5. Which of the following best describes searching the literature for ways to prevent acute events in
people with diabetic complications, determining clinical interventions and applying them at the point of
care?
A) Population health process
B) Population health management
C) Evidence-based practice
D) All of these are correct.
Ans: C
Complexity: Easy
Ahead: Evidence-Based Practice (EBP)
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
6. Which of the following models is a framework for healthcare organizations to measure their progress
toward analytic adoption, understand the level of analytics adoption in health care overall, evaluate
vendor-based solutions, and provide a reference point for presenting the many aspects of population
health analytics?
A) Analytics Capability Model
B) Healthcare analytics adoption model
C) ForestVue Population Health Implementation and Analytics Framework
D) None of these is correct.
Ans: B
Complexity: Easy
Ahead: Capability Models
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
True/False
1. Population health provides linkages between evidence-based information and practice, utilizes
analytics to drive decision-making, and supports healthcare organizations in effectively managing the risk
of their populations.
Ans: True
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
2. Population health management refers to the process of improving clinical health outcomes of a defined
group of individuals through targeted interventions supported by appropriate financial and care models.
Ans: True
Complexity: Easy
Ahead: What is Population Health?
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
3. It is estimated that 80% of health outcomes are attributable to health determinants.
Ans: True
Complexity: Easy
Ahead: What is Population Health?
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
4. The best analytic infrastructure uses standards-based procedures for data processing; appropriately
applies technology like grids and cloud-based services to support large volumes, velocities, and varieties
of data; supports analytics for the entirety of the organization; is nimble in the ability to support new and
innovative analytic undertakings; and fully integrates systems data.
Ans: True
Complexity: Easy
Ahead: Analytic Capabilities
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
5. It is required that organizations delay higher-level capabilities until achieving optimal performance in
lower levels when working in an analytics capability model.
Ans: False
Complexity: Easy
Ahead: Analytic Capabilities
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
,Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Matching
1. Match the description with the phase it best describes.
1. This phase begins with an exploration of the health determinants within a population from an analytical,
clinical, and business perspective, also referred to as the team triad of the clinician, analyst, and business
expert.
Ans: assess phase
2. This phase ensures that the intervention is being delivered as intended and that progress is being
made toward achieving desired outcomes. During this phase, all stakeholders have a role in reviewing
and interpreting reporting about the interventions.
Ans: monitor phase
3. Analytics in this phase examine the relationship between health determinants and health outcomes
with the goal of settling on a set of recommendations based on the findings.
Ans: focus phase analytics
4. A method of predicting the likelihood or the estimate of poor outcomes based on health determinants is
identified.
Ans: predict phase
5. Functions during this phase are first focused on ensuring that the analytics that were made operational
are working as intended. Identification and risk-stratification models are analyzed to ensure that the right
patients are associated with the right interventions.
Ans: implement phase analytics
6. Analytics during these phases produce patient-level reporting and dashboards used to track key
program process and outcome metrics defined in the develop phase. The design for reporting metrics is
tailored to the information needed at each level and type of stakeholder for the intervention.
Ans: monitor and optimize phase analytics
7. During this phase, interventions are created with the specific needs of the defined population in mind
and informed by previous phases. Information about the drivers of outcomes is used to determine which
intervention will be implemented and is usually determined by a team of stakeholders, including business,
clinical, and analytic leaders.
Ans: develop phase
Complexity: Easy
Ahead: Population Health Analytics
Subject: Chapter 2
Title: Guiding Frameworks for Population Health Analytics
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
, Population Health Analytics, First Edition
Rosemary M. Caron, PhD, MPH
Test Bank
Multiple Choice
1. Medical claims data can be used to derive information about which of the following?
A) Grouping of illness
B) Patterns of healthcare use
C) Quality and cost outcomes
D) All of these are correct.
E) Grouping of illness and patterns of healthcare use
Ans: D
Complexity: Easy
Ahead: Executive Summary
Subject: Chapter 3
Title: Medical Administrative Claims Data for Population Health Analytics
2. Medical claims data:
A) are a primary data source.
B) provide information about patient diagnoses.
C) provide information about healthcare services used for treatment of medical conditions.
D) All of these are correct.
E) provide information about patient diagnoses and healthcare services used for treatment of medical
conditions.
Ans: E
Complexity: Easy
Ahead: Executive Summary
Subject: Chapter 3
Title: Medical Administrative Claims Data for Population Health Analytics
3. People may receive health insurance through which of the following routes?
A) Employer-sponsored health plan
B) Medicaid
C) Medicare
D) Veteran’s Benefits Administration
E) All of these are correct.
Ans: E
Complexity: Easy
Ahead: Introduction
Subject: Chapter 3
Title: Medical Administrative Claims Data for Population Health Analytics
4. Which of the following describes an institutional provider?
A) Occupational therapy services
B) Speech pathology services
C) Hospice organizations
D) Community mental health center
E) All of these are correct.
F) Occupational therapy and speech pathology services
Copyright © 2022 by Jones & Bartlett Learning, LLC, an Ascend Learning Company
