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1

1936-, Johnson Marion, and Maas Meridean, eds. Nursing outcomes classification (NOC): Iowa outcomes project. St. Louis: Mosby, 1997.

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2

Ecclestone, Kathryn. Learning outcomes. Sheffield: Sheffield Hallam University, School of Education, Centre for Further and Higher Education, 1990.

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3

Commission on Accreditation of Rehabilitation Facilities (U.S.). Employment and Community Services Division., ed. Managing outcomes. Tucson, AZ (4891 East Grant Rd., Tucson 85712): The Division, 1997.

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4

Carol, Schunk, ed. Functional outcomes. Philadelphia: Saunders, 2000.

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5

Health, Nuffield Institute for, and UK Clearing House on Health Outcomes., eds. Outcomes briefing. Leeds: Nuffield Institute for Health., 1994.

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6

UK Clearing House for Information on Health Outcomes., ed. Outcomes briefing. Leeds: Nuffield Institute for Health, 1995.

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7

Moorehead, Sue, ed. Nursing outcomes classification (NOC): Measurement of health outcomes. St. Louis, USA: Elsevier, 2012.

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8

Sigler, Wayne. Managing for outcomes. Washington, DC: American Association of Collegiate Registrars and Admissions, 2007.

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9

Shrivastava, Amresh, and Avinash De Sousa, eds. Schizophrenia Treatment Outcomes. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-19847-3.

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10

1941-, Cooke-Davies Terry, ed. Best industry outcomes. Newtown Square, Pa: Project Management Institute, 2012.

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11

1962-, Berends Mark, Springer Matthew G, and Walberg Herbert J. 1937-, eds. Charter school outcomes. New York: Lawrence Erlbaum Associates, 2008.

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12

E, Walsh Nicolas, and American Congress of Rehabilitation Medicine., eds. Disability outcomes research. [Orlando, FL]: W.B. Saunders Co., 2000.

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13

Collyer, Charles E. Nonviolence: Origins & outcomes. Calcutta, India: Writers Workshop, 2003.

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14

Margery, Garbin, ed. Assessing educational outcomes. New York: National League for Nursing Press, 1991.

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15

Office, National Casemix. Outcomes literature survey. Winchester: National Casemix Office, 1993.

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16

United States. Dept. of Labor. Office of the Inspector General. Office of Audit., ed. JTPA program outcomes. [Washington, DC?]: Office of Inspector General, U.S. Dept. of Labor, Office of Audit, 1993.

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17

Burns, Harry. Making outcomes matter. Birmingham: National Association of Health Authorities and Trusts, 1996.

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18

Disease Management Association of America., ed. Outcomes guidelines report. Washington, DC: Disease Management Association of America, 2006.

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19

T, Nolan Marie, and Mock Victoria, eds. Measuring patient outcomes. Thousand Oaks, Calif: Sage Publications, 2000.

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20

Maryland State Board for Community Colleges., ed. Continuing education: Outcomes. Annapolis, MD (914 Bay Ridge Rd., Annapolis 21403): Maryland State Board for Community Colleges, 1988.

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21

Dellar, Hugh. Outcomes: Student's book. United Kingdom: Heinle, Cengage Learning EMEA, 2012.

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22

1962-, Berends Mark, Springer Matthew G, and Walberg Herbert J. 1937-, eds. Charter school outcomes. New York: Lawrence Erlbaum Associates, 2008.

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23

Dellar, Hugh ;. Walkley. Outcomes. CENGAGE Learning, 2016.

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24

Scott, David L. Outcomes. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0029.

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Outcomes evaluate the impact of disease. In rheumatology they span measures of disease activity, end-organ damage, and quality of life. Some outcomes are categorical, such as the presence or absence of remission. Other outcomes involve extended numeric scales such as joint counts, radiographic scores, and quality of life measures. Outcomes can be measured in the short term—weeks and months—or over years and decades. Short-term outcomes, though readily related to treatment, may have less relevance for patients. Clinical trials focus on short-term outcomes whereas observational studies explore longer-term outcomes. The matrix of rheumatic disease outcomes is exemplified by rheumatoid arthritis. Its outcomes span disease activity assessments like joint counts, damage assessed by erosive scores, quality of life evaluated by disease-specific measures like the Health Assessment Questionnaire (HAQ) or generic measures like the Short Form 36 (SF-36), overall assessments like remission, and end result such as joint replacement or death. Outcome measures are used to capture the impact of treating rheumatic diseases, and are influenced by both disease severity and the effectiveness of treatment. However, they are also influenced by a range of confounding factors. Demographic factors like age, gender, and ethnicity can all have crucial impacts. Deprivation is important, as poverty invariably worsens outcomes. Finally, comorbidities affect outcomes and patients with multiple comorbid conditions usually have worse quality of life with poorer outcomes for all diseases. These multiple confounding factors mean comparing outcomes across units without adjustment will invariably show major differences.
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25

Scott, David L. Outcomes. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642489.003.0029_update_001.

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Outcomes evaluate the impact of disease. In rheumatology they span measures of disease activity, end-organ damage, and quality of life. Some outcomes are categorical, such as the presence or absence of remission. Other outcomes involve extended numeric scales such as joint counts, radiographic scores, and quality of life measures. Outcomes can be measured in the short term—weeks and months—or over years and decades. Short-term outcomes, though readily related to treatment, may have less relevance for patients. Clinical trials focus on short-term outcomes whereas observational studies explore longer-term outcomes. The matrix of rheumatic disease outcomes is exemplified by rheumatoid arthritis. Its outcomes span disease activity assessments like joint counts, damage assessed by erosive scores, quality of life evaluated by disease-specific measures like the Health Assessment Questionnaire (HAQ) or generic measures like the Short Form 36 (SF-36), overall assessments like remission, and end result such as joint replacement or death. Outcome measures are used to capture the impact of treating rheumatic diseases, and are influenced by both disease severity and the effectiveness of treatment. However, they are also influenced by a range of confounding factors. Demographic factors like age, gender, and ethnicity can all have crucial impacts. Deprivation is important, as poverty invariably worsens outcomes. Finally, comorbidities affect outcomes and patients with multiple comorbid conditions usually have worse quality of life with poorer outcomes for all diseases. These multiple confounding factors mean comparing outcomes across units without adjustment will invariably show major differences.
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26

Outcomes. Cengage Heinle, 2016.

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27

International, LIMRA. Outcomes. LIMRA International, 1999.

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28

Dellar, Hugh ;. Walkley. Outcomes. CENGAGE Learning, 2016.

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29

Outcomes. Cengage Heinle, 2015.

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30

Outcomes. Cengage Heinle, 2016.

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31

Pasternack, Andrew. Outcomes. Jossey-Bass Inc Pub, 2000.

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32

Outcomes. Thomson ELT, 2015.

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33

Outcomes. Cengage Heinle, 2015.

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34

Dellar, Hugh, and Andrew Walkley. Outcomes. Cengage Heinle, 2015.

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35

Outcomes. Cengage Heinle, 2015.

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36

Dellar, Hugh, and Andrew Walkley. Outcomes. Cengage Heinle, 2016.

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37

Outcomes. CENGAGE Learning, 2015.

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38

Health Care Outcomes & Cardiovascular Outcomes Set. Aspen Publishers, 1999.

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39

Outcome Management: Achieving Outcomes for People With Disabilities. High Tide Pr, 2002.

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40

Swanson, Elizabeth A., Sue Moorhead, Meridean L. Maas, and Johnson Marion. Nursing Outcomes Classification: Measurement of Health Outcomes. Mosby, 2018.

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41

Nursing Outcomes Classification (NOC) (Nursing Outcomes Classification). 4th ed. Mosby, 2007.

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42

(Editor), Marion Johnson, Meridean Maas (Editor), and Sue Moorhead (Editor), eds. Nursing Outcomes Classification (Noc) (Nursing Outcomes Classification). 2nd ed. C.V. Mosby, 2000.

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43

Nursing Outcomes Classification: Measurement of Health Outcomes. Elsevier - Health Sciences Division, 2018.

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44

(Editor), Marion Johnson, and Meridean Maas (Editor), eds. Nursing Outcomes Classification (Noc): Iowa Outcomes Project. Mosby-Year Book, 1997.

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45

Moorhead, Sue, Elizabeth Swanson, and Johnson Marion. Nursing Outcomes Classification: Measurement of Health Outcomes. Elsevier, 2023.

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46

Mares, Isabela. Macroeconomic Outcomes. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199579396.003.0037.

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47

van Tubergen, Astrid, and Robert Landewé. Clinical outcomes. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0012.

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In general, axial spondyloarthritis (axSpA) follows a chronic course, requiring regular medical care and monitoring. The outcome of axSpA may vary substantially due to heterogenic presentation. For both research and clinical practice, it is important to have relevant, reliable, validated instruments for measuring outcome, to evaluate patients in a standardized way and capture all disease aspects. The Assessment in SpondyloArthritis international Society has developed core sets and instruments to measure these domains, and recommends only the most important domains being measured with best available methods. This chapter provides an overview of the most important outcomes in axSpA and most commonly used instruments to measure these. Additional measures frequently used but not (yet) included in the core set are addressed, and several sets of response criteria applied in axSpA research described. This chapter also provides guidance in which setting (research versus practice) and with which frequency these measures can be used.
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48

Disparate Outcomes. World Bank, Washington, DC, 2019. http://dx.doi.org/10.1596/32011.

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49

Dellar, Hugh. Outcomes Intermediate. Cengage Heinle, 2015.

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50

Outcomes briefing. Leeds: UK Clearing House for Information on the Assessment of Health Outcomes, 1993.

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