CPH Practice Exam (1 hour)
1. Develop a shared vision
Developing a shared vision is important in make sure the coalition of community groups is on
the same page. A shared vision allows the different coalition groups to come to a consensus on
the definition of the health need or issue they are working on.
Links
http://doi.org/10.1093/her/cyr083
http://www.countyhealthrankings.org/sites/default/files/eightstep.pdf
http://www.uvm.edu/crs/nnco/collab/buildcoal3.html
References
Butterfoss F, Kegler M. The community coalition action theory. In: DiClemente R, Crosby R,
Kegler M, editors. Emerging Theories in Health Promotion Practice and Research. 2nd edn. San
Francisco, CA: Jossey-Bass; 2009
Kegler, M. C., & Swan, D. W. (2012). Advancing coalition theory: the effect of coalition
factors on community capacity mediated by member engagement. Health Education Research,
27(4), 572-584. http://doi.org/10.1093/her/cyr083
Cohen L, Baer N, Satt - ANS-When beginning work with a coalition of community groups to
improve health outcomes in the community, a key first step would be to:
1.Develop a shared vision
2.Develop an evaluation plan
3.Develop a data collection plan
4.Develop a logic model
1. Donabedian's model
Donabedian's model is correct. Other frameworks have been developed, but the three-category
model first proposed by Avedis Donabedian in 1966 has predominated. Some have modified
this linear model to include four categories: input (also sometimes called structure), process
(also sometimes called throughput), output and outcome. Other models have been proposed to
address the criticism that a linear model may not capture all the complexities of interactions.
,Links
https://doi.org/10.1056/NEJMp1605101
https://www.ncbi.nlm.nih.gov/books/NBK235461/#top
References
Ayanian, J. Z., & Markel, H. (2016). Donabedian's Lasting Framework for Health Care
Quality. New England Journal of Medicine, 375(3), 205-207. doi:10.1056/NEJMp1605101
Institute of Medicine Committee to Design a Strategy for Quality Review and Assurance in
Medicare. (1990). Chapter two: Concepts of assessing, assuring, and improving qu - ANS-The
logic model that has been the dominant paradigm representing types of information that may be
collected to draw inferences about quality of care provided by a healthcare system has been:
1.Donabedian's model
2.Shewart's PDCA
3.Theory of Change
4.Web of Causation
1. Increasing
The spread of antibiotic-resistant bacterial infections is a major Public Health concern in the
21st century
Links
https://www.cdc.gov/drugresistance/index.html
https://watermark.silverchair.com/46-2-155.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7D
m3ZL_9Cf3qfKAc485ysgAAAj0wggI5BgkqhkiG9w0BBwagggIqMIICJgIBADCCAh8GCSqGSIb3
DQEHATAeBglghkgBZQMEAS4wEQQMt02-mlWL823aL2lFAgEQgIIB8I6TYLLkzCCjFzjogL_BW
irC4sSadLpzaTiqhgJ823YlW8vv4c1uHGUErA153L1X3Z9xhrBgauxCNM4J_gX4TpVzaBCmoKQ
8L9wukUAv2LTnbWwYOlQTc0b0PQOjDHoDRt5V-7Y2nZEUJ6t2LDFMsyuvtZ0qSJEG9lr5rHP0
HI6YilrLAaeCibaxU7S6ZZNSu9BwBWCjZUxV4sjAbH4lAVhwt0Qm0Q8XQf-HnD5F0MG733uAe
mcc63bHby2qRa-cyuY2C-ajQJni-876XJsytK5-04QmRgF5e1OJr7dTgKb7yJEWYusUfPV1lIdIse
EaFGhN5qDzboh_R6ebTVKBGgHFXyF1EDXZbhFZQVBS1ugIvUX3-MEyxFntHaL9foGOWqY-
B7tRsgEHuRAOLWmGKg9B5KNQYoXJ8qbW0oDSFzoXvggvzNO3g8pnc-2eo-d9chhK-kbzapC
dj4KYrnf48VwuXo8JuqnHpFOIS3Tly3CtXMawENGRP77DTFgQAR1x0ocWq7DgJCawRUi0oIvk
Kz9-BZbM_i - ANS-The incidence of bacteria that are resistant to antibiotics is:
1.Increasing
2.Decreasing
3.Staying the same
4.Difficult to measure
1. Physician practice styles
,The small area variations in Medicare expenditure that are observed in the Dartmouth Atlas of
Healthcare are attributable to differences in how physicians practice medicine. The Dartmouth
Atlas of Healthcare found wide variations in the frequency that various medical care treatments
occurred in different areas of the United States. Additional research has shown that these
variations are likely not associated with differences in health status, patient age, or consumer
preferences, but rather with the practice styles noted and with the supply of physicians in
different areas. Research on small area variations has supported the development of clinical
practice guidelines.
Links
http://www.dartmouthatlas.org/downloads/atlases/98Atlas.pdf
http://doi.org/10.1111/j.1475-6773.2010.01180.x
https://www.ncbi.nlm.nih.gov/pubmed/?term=12703563
References
Wennberg, J.E., Cooper M.M. (1998). The - ANS-The Dartmouth Atlas of Healthcare
demonstrates that small area variations in Medicare expenditures across geographic areas are
primarily attributable to differences in:
1.Physician practice styles
2.Consumer preferences for high-cost services
3.Age of the population served
4.Health status of the population served
1. Sanctioning individuals for mistakes is the most appropriate method for ensuring effective
quality of care
This is the only correct response because the current quality management paradigm considers
the primary source of errors, waste, and other indicators of poor quality to be poor system
design and ineffective processes rather than individual incompetence or carelessness. Deming
and others regard the sanctioning of individuals for poor quality to be misplaced and likely to
aggravate the problem.
Links
https://journals.aom.org/doi/10.5465/amr.1994.9412271807
https://jamanetwork.com/journals/jama/article-abstract/379585
https://ac.els-cdn.com/S0272696301000882/1-s2.0-S0272696301000882-main.pdf?_tid=63fdc9
a1-6876-4a89-be1f-22e1063f4f1e&acdnat=1539789896_58524e8c13010040243975838a27c24
a
References
, Spencer, B. A. (1994). Models of organization and total quality management: a comparison and
critical evaluation. Acad - ANS-Which of the following statements is not associated with the
current paradigm of quality management?
1. Sanctioning individuals for mistakes is the most appropriate method for ensuring effective
quality of care
2. The appropriate locus for ensuring quality is at the system level
3. Process improvement is essential to ensuring quality of care
4. Employee satisfaction and patient satisfaction are closely linked
1. Skew
Skew refers to the symmetry of the curve. In probability theory and statistics, kurtosis is a
measure of the "peakedness" of the probability distribution of a real-valued random variable. A
confidence interval is a range of values that are, at a specified probability, likely to contain a
specific parameter. Range is a measure of dispersion that expresses the lowest and highest
value contained in a dataset.
Links
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC137399/
https://www.cdc.gov/ophss/csels/dsepd/ss1978/SS1978.pdf
References
Weiss, A. (2008). Introductory Statistics. Boston, MA: Pearson Education.
Whitley, E., & Ball, J. (2002). Statistics review 1: Presenting and summarising data. Critical
Care, 6(1), 66-71. Retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC137399/
Centers for Disease Control and Prevention (CDC) Office of Workforce and Career
Development. (2012). Public Health Pr - ANS-Which of the following evaluates asymmetry in a
distribution?
1.Skew
2.Range
3.Confidence interval
4.Kurtosis
1. Take into account characteristics of the target population
As defined by Kreuter and Wray, targeted communication is intended to reach a segment of the
population that shares specific characteristics, while tailored communication is intended to reach
1. Develop a shared vision
Developing a shared vision is important in make sure the coalition of community groups is on
the same page. A shared vision allows the different coalition groups to come to a consensus on
the definition of the health need or issue they are working on.
Links
http://doi.org/10.1093/her/cyr083
http://www.countyhealthrankings.org/sites/default/files/eightstep.pdf
http://www.uvm.edu/crs/nnco/collab/buildcoal3.html
References
Butterfoss F, Kegler M. The community coalition action theory. In: DiClemente R, Crosby R,
Kegler M, editors. Emerging Theories in Health Promotion Practice and Research. 2nd edn. San
Francisco, CA: Jossey-Bass; 2009
Kegler, M. C., & Swan, D. W. (2012). Advancing coalition theory: the effect of coalition
factors on community capacity mediated by member engagement. Health Education Research,
27(4), 572-584. http://doi.org/10.1093/her/cyr083
Cohen L, Baer N, Satt - ANS-When beginning work with a coalition of community groups to
improve health outcomes in the community, a key first step would be to:
1.Develop a shared vision
2.Develop an evaluation plan
3.Develop a data collection plan
4.Develop a logic model
1. Donabedian's model
Donabedian's model is correct. Other frameworks have been developed, but the three-category
model first proposed by Avedis Donabedian in 1966 has predominated. Some have modified
this linear model to include four categories: input (also sometimes called structure), process
(also sometimes called throughput), output and outcome. Other models have been proposed to
address the criticism that a linear model may not capture all the complexities of interactions.
,Links
https://doi.org/10.1056/NEJMp1605101
https://www.ncbi.nlm.nih.gov/books/NBK235461/#top
References
Ayanian, J. Z., & Markel, H. (2016). Donabedian's Lasting Framework for Health Care
Quality. New England Journal of Medicine, 375(3), 205-207. doi:10.1056/NEJMp1605101
Institute of Medicine Committee to Design a Strategy for Quality Review and Assurance in
Medicare. (1990). Chapter two: Concepts of assessing, assuring, and improving qu - ANS-The
logic model that has been the dominant paradigm representing types of information that may be
collected to draw inferences about quality of care provided by a healthcare system has been:
1.Donabedian's model
2.Shewart's PDCA
3.Theory of Change
4.Web of Causation
1. Increasing
The spread of antibiotic-resistant bacterial infections is a major Public Health concern in the
21st century
Links
https://www.cdc.gov/drugresistance/index.html
https://watermark.silverchair.com/46-2-155.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7D
m3ZL_9Cf3qfKAc485ysgAAAj0wggI5BgkqhkiG9w0BBwagggIqMIICJgIBADCCAh8GCSqGSIb3
DQEHATAeBglghkgBZQMEAS4wEQQMt02-mlWL823aL2lFAgEQgIIB8I6TYLLkzCCjFzjogL_BW
irC4sSadLpzaTiqhgJ823YlW8vv4c1uHGUErA153L1X3Z9xhrBgauxCNM4J_gX4TpVzaBCmoKQ
8L9wukUAv2LTnbWwYOlQTc0b0PQOjDHoDRt5V-7Y2nZEUJ6t2LDFMsyuvtZ0qSJEG9lr5rHP0
HI6YilrLAaeCibaxU7S6ZZNSu9BwBWCjZUxV4sjAbH4lAVhwt0Qm0Q8XQf-HnD5F0MG733uAe
mcc63bHby2qRa-cyuY2C-ajQJni-876XJsytK5-04QmRgF5e1OJr7dTgKb7yJEWYusUfPV1lIdIse
EaFGhN5qDzboh_R6ebTVKBGgHFXyF1EDXZbhFZQVBS1ugIvUX3-MEyxFntHaL9foGOWqY-
B7tRsgEHuRAOLWmGKg9B5KNQYoXJ8qbW0oDSFzoXvggvzNO3g8pnc-2eo-d9chhK-kbzapC
dj4KYrnf48VwuXo8JuqnHpFOIS3Tly3CtXMawENGRP77DTFgQAR1x0ocWq7DgJCawRUi0oIvk
Kz9-BZbM_i - ANS-The incidence of bacteria that are resistant to antibiotics is:
1.Increasing
2.Decreasing
3.Staying the same
4.Difficult to measure
1. Physician practice styles
,The small area variations in Medicare expenditure that are observed in the Dartmouth Atlas of
Healthcare are attributable to differences in how physicians practice medicine. The Dartmouth
Atlas of Healthcare found wide variations in the frequency that various medical care treatments
occurred in different areas of the United States. Additional research has shown that these
variations are likely not associated with differences in health status, patient age, or consumer
preferences, but rather with the practice styles noted and with the supply of physicians in
different areas. Research on small area variations has supported the development of clinical
practice guidelines.
Links
http://www.dartmouthatlas.org/downloads/atlases/98Atlas.pdf
http://doi.org/10.1111/j.1475-6773.2010.01180.x
https://www.ncbi.nlm.nih.gov/pubmed/?term=12703563
References
Wennberg, J.E., Cooper M.M. (1998). The - ANS-The Dartmouth Atlas of Healthcare
demonstrates that small area variations in Medicare expenditures across geographic areas are
primarily attributable to differences in:
1.Physician practice styles
2.Consumer preferences for high-cost services
3.Age of the population served
4.Health status of the population served
1. Sanctioning individuals for mistakes is the most appropriate method for ensuring effective
quality of care
This is the only correct response because the current quality management paradigm considers
the primary source of errors, waste, and other indicators of poor quality to be poor system
design and ineffective processes rather than individual incompetence or carelessness. Deming
and others regard the sanctioning of individuals for poor quality to be misplaced and likely to
aggravate the problem.
Links
https://journals.aom.org/doi/10.5465/amr.1994.9412271807
https://jamanetwork.com/journals/jama/article-abstract/379585
https://ac.els-cdn.com/S0272696301000882/1-s2.0-S0272696301000882-main.pdf?_tid=63fdc9
a1-6876-4a89-be1f-22e1063f4f1e&acdnat=1539789896_58524e8c13010040243975838a27c24
a
References
, Spencer, B. A. (1994). Models of organization and total quality management: a comparison and
critical evaluation. Acad - ANS-Which of the following statements is not associated with the
current paradigm of quality management?
1. Sanctioning individuals for mistakes is the most appropriate method for ensuring effective
quality of care
2. The appropriate locus for ensuring quality is at the system level
3. Process improvement is essential to ensuring quality of care
4. Employee satisfaction and patient satisfaction are closely linked
1. Skew
Skew refers to the symmetry of the curve. In probability theory and statistics, kurtosis is a
measure of the "peakedness" of the probability distribution of a real-valued random variable. A
confidence interval is a range of values that are, at a specified probability, likely to contain a
specific parameter. Range is a measure of dispersion that expresses the lowest and highest
value contained in a dataset.
Links
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC137399/
https://www.cdc.gov/ophss/csels/dsepd/ss1978/SS1978.pdf
References
Weiss, A. (2008). Introductory Statistics. Boston, MA: Pearson Education.
Whitley, E., & Ball, J. (2002). Statistics review 1: Presenting and summarising data. Critical
Care, 6(1), 66-71. Retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC137399/
Centers for Disease Control and Prevention (CDC) Office of Workforce and Career
Development. (2012). Public Health Pr - ANS-Which of the following evaluates asymmetry in a
distribution?
1.Skew
2.Range
3.Confidence interval
4.Kurtosis
1. Take into account characteristics of the target population
As defined by Kreuter and Wray, targeted communication is intended to reach a segment of the
population that shares specific characteristics, while tailored communication is intended to reach
