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Journal articles on the topic '200202 Evaluation of health outcomes'

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Published: 10 December 2022

Last updated: 28 January 2023

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1

Kersten, R. F. M. R., J. Fikkers, N. Wolterbeek, F. C. Öner, and S. M. van Gaalen. "Are the Roland Morris Disability Questionnaire and Oswestry Disability Index interchangeable in patients after lumbar spinal fusion?" Journal of Back and Musculoskeletal Rehabilitation 34, no. 4 (July 13, 2021): 605–11. http://dx.doi.org/10.3233/bmr-200206.

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BACKGROUND: Low back pain is a common health problem for which there are several treatment options. For optimizing clinical decision making, evaluation of treatments and research purposes it is important that health care professionals are able to evaluate the functional status of patients. Patient reported outcome measures (PROMs) are widely accepted and recommended. The Roland Morris Disability Questionnaire (RMDQ) and the Oswestry Disability Index (ODI) are the two mainly used condition-specific patient reported outcomes. Concerns regarding the content and structural validity and also the different scoring systems of these outcome measures makes comparison of treatment results difficult. OBJECTIVE: Aim of this study was to determine if the RMDQ and ODI could be used exchangeable by assessing the correlation and comparing different measurement properties between the questionnaires. METHODS: Clinical data from patients who participated in a multicenter RCT with 2 year follow-up after lumbar spinal fusion were used. Outcome measures were the RMDQ, ODI, Short Form 36 – Health Survey (SF-36), leg pain and back pain measured on a 0–100 mm visual analogue scale (VAS). Cronbach’s alpha coefficients, Spearman correlation coefficients, multiple regression analysis and Bland-Altman plots were calculated. RESULTS: three hundred and seventy-six completed questionnaires filled out by 87 patients were used. The ODI and RMDQ had both a good level of internal consistency. There was a very strong correlation between the RMDQ and the ODI (r= 0.87; p< 0.001), and between the VAS and both the ODI and RMDQ. However, the Bland-Altman plot indicated bad agreement between the ODI and RMDQ. CONCLUSIONS: The RMDQ and ODI cannot be used interchangeably, nor is there a possibility of converting the score from one questionnaire to the other. However, leg pain and back pain seemed to be predictors for both the ODI and the RMDQ.

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2

Bitzer, Eva, and Hans Dörning. "Health Outcomes and Evaluation." Public Health Forum 5, no. 1 (January 1, 1997): 24. http://dx.doi.org/10.1515/pubhef-1997-1389.

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3

Bitzer, Eva, Jürgen Wasem, Thomas Kohlmann, and Marie-Luise Dierks. "Health Outcomes und Evaluation in Public Health." Public Health Forum 8, no. 3 (November 1, 2000): 2–3. http://dx.doi.org/10.1515/pubhef-2000-1722.

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4

Stamuli, E. "Health outcomes in economic evaluation: who should value health?" British Medical Bulletin 97, no. 1 (January 31, 2011): 197–210. http://dx.doi.org/10.1093/bmb/ldr001.

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5

Aoki, Noriaki, Kim Dunn, Kathy A. Johnson-Throop, and James P. Turley. "Outcomes and Methods in Telemedicine Evaluation." Telemedicine Journal and e-Health 9, no. 4 (December 2003): 393–401. http://dx.doi.org/10.1089/153056203772744734.

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6

Allen, Christine W. "Outcomes-Based Evaluation in a Community Health Library." Journal of Hospital Librarianship 4, no. 3 (September 22, 2004): 63–78. http://dx.doi.org/10.1300/j186v04n03_06.

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7

Oldridge, Neil B. "Outcomes Measurement: Health State Preferences and Economic Evaluation." Assistive Technology 8, no. 2 (December 31, 1996): 94–102. http://dx.doi.org/10.1080/10400435.1996.10132279.

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8

Drude, Kenneth P., and Marlene M. Maheu. "Telemental/Telebehavioral Health Competencies, Evaluation, and Outcomes Column." Journal of Technology in Behavioral Science 3, no. 2 (February 7, 2018): 77–79. http://dx.doi.org/10.1007/s41347-018-0043-9.

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9

Severens, Johan L., and Richard J. Milne. "Discounting Health Outcomes in Economic Evaluation: The Ongoing Debate." Value in Health 7, no. 4 (July 2004): 397–401. http://dx.doi.org/10.1111/j.1524-4733.2004.74002.x.

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10

Whitehead, S. J., and S. Ali. "Health outcomes in economic evaluation: the QALY and utilities." British Medical Bulletin 96, no. 1 (October 29, 2010): 5–21. http://dx.doi.org/10.1093/bmb/ldq033.

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11

Anthony, Bruno J., Robinson Munoz-Millan, Sheila Dennis, and Jennifer Branch. "Therapeutic Nursery Evaluation of Mental Health Outcomes and Services." N H S A Research Quarterly 1, no. 3 (September 1997): 81–93. http://dx.doi.org/10.1207/s19309325nhsa0103_6.

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12

Bossuyt, Patrick M. M., and Jeroen G. Lijmer. "Traditional health outcomes in the evaluation of diagnostic tests." Academic Radiology 6 (January 1999): S77—S80. http://dx.doi.org/10.1016/s1076-6332(99)80092-0.

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13

Campbell, Gregory. "Traditional health outcomes in the evaluation of diagnostic tests." Academic Radiology 6 (January 1999): S83. http://dx.doi.org/10.1016/s1076-6332(99)80094-4.

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14

Ross, P. D., B. Ettinger, J. W. Davis, L. J. Melton, and R. D. Wasnich. "Evaluation of adverse health outcomes associated with vertebral fractures." Osteoporosis International 1, no. 3 (June 1991): 134–40. http://dx.doi.org/10.1007/bf01625442.

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15

Woynarowska-Sołdan, Magdalena. "Outcomes evaluation of the school staff health promotion project." Medycyna Pracy 67, no. 2 (April 22, 2016): 187–200. http://dx.doi.org/10.13075/mp.5893.00356.

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16

Mellor-Clark, John, and Michael Barkham. "Using Clinical Outcomes in Routine Evaluation." European Journal of Psychotherapy & Counselling 8, no. 2 (June 2006): 137–40. http://dx.doi.org/10.1080/13642530600712387.

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17

Boniface, Michael, Daniel Burns, Christopher Duckworth, Mazen Ahmed, Franklin Duruiheoma, Htwe Armitage, Naomi Ratcliffe, John Duffy, Caroline O’Keeffe, and Matt Inada-Kim. "COVID-19 Oximetry @home: evaluation of patient outcomes." BMJ Open Quality 11, no. 1 (March 2022): e001584. http://dx.doi.org/10.1136/bmjoq-2021-001584.

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BackgroundCOVID-19 has placed unprecedented demands on hospitals. A clinical service, COVID-19 Oximetry @home (CO@h) was launched in November 2020 to support remote monitoring of COVID-19 patients in the community. Remote monitoring through CO@h aims to identify early patient deterioration and provide timely escalation for cases of silent hypoxia, while reducing the burden on secondary care.MethodsWe conducted a retrospective service evaluation of COVID-19 patients onboarded to CO@h from November 2020 to March 2021 in the North Hampshire (UK) community led service (a collaboration of 15 General Practitioner (GP) practices covering 230 000 people). We have compared outcomes for patients admitted to Basingstoke and North Hampshire Hospital who were CO@h patients (COVID-19 patients with home monitoring of oxygen saturation (SpO2; n=115), with non-CO@h patients (those directly admitted without being monitored by CO@h (n=633)). Crude and adjusted OR analysis was performed to evaluate the effects of CO@h on patient outcomes of 30-day mortality, Intensive care unit (ICU) admission and hospital length of stay greater than 3, 7, 14 and 28 days.ResultsAdjusted ORs for CO@h show an association with a reduction for several adverse patient outcome: 30-day hospital mortality (p<0.001, OR 0.21, 95% CI 0.08 to 0.47), hospital length of stay larger than 3 days (p<0.05, OR 0.62, 95% CI 0.39 to 1.00), 7 days (p<0.001, OR 0.35, 95% CI 0.22 to 0.54), 14 days (p<0.001, OR 0.22 95% CI, 0.11 to 0.41), and 28 days (p<0.05, OR 0.21, 95% CI 0.05 to 0.59). No significant reduction ICU admission was observed (p>0.05, OR 0.43, 95% CI 0.15 to 1.04). Within 30 days of hospital admission, there were no hospital readmissions for those on the CO@h service as opposed to 8.7% readmissions for those not on the service.ConclusionsWe have demonstrated a significant association between CO@h and better patient outcomes; most notably a reduction in the odds of hospital lengths of stays longer than 7, 14 and 28 days and 30-day hospital mortality.

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18

Krabbe, PFM, JB Hinderink, and P. van de Broek. "PMDE6: EVALUATION OF THE VALIDITY OF RETROSPECTIVE QOL OUTCOMES." Value in Health 3, no. 5 (September 2000): 377. http://dx.doi.org/10.1016/s1098-3015(11)70824-5.

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19

Hines, DM, P. Sery, and CM Blanchette. "Evaluation of Asthma Outcomes in Older and Younger Adults." Value in Health 19, no. 3 (May 2016): A30. http://dx.doi.org/10.1016/j.jval.2016.03.351.

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20

Murphy, Jonathan W., Laura C. Corey, and Matthew J. Sturgeon. "Evaluation of outcomes for military mental health partial hospitalization program." Military Psychology 34, no. 1 (October 28, 2021): 91–97. http://dx.doi.org/10.1080/08995605.2021.1971939.

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21

Carey, Timothy A., James M. Fauth, and George C. Tremblay. "Rethinking Evaluation for Improved Health Outcomes: Implications for Remote Australia." American Journal of Evaluation 41, no. 2 (February 14, 2019): 234–54. http://dx.doi.org/10.1177/1098214018824040.

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Despite enduring and unacceptable disparities in health outcomes for Aboriginal and Torres Strait Islander Australians as well as people living in rural and remote locations, evidence indicates that health services are not routinely evaluated. This article describes an exploration of a context where evaluators and community partners have achieved considerable success in implementing and sustaining ongoing monitoring and evaluation for enhanced service effectiveness in rural and underserved communities of New Hampshire. The purpose of this project was to establish the principles supporting this success and to set the stage for future research investigating the applicability of these principles to the remote Australian context. Semistructured interviews were conducted with 15 people from different organizations and in different positions within those organizations. The results invite a reconsideration of the way in which evidence-based practice is conceptualized as well as the role of external evaluators. The study has important implications and recommendations for both policy and practice.

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22

Arunachalam, P. S., E. Kitcher, J. Gray, and J. A. Wilson. "Nasal septal surgery: evaluation of symptomatic and general health outcomes." Clinical Otolaryngology and Allied Sciences 26, no. 5 (October 2001): 367–70. http://dx.doi.org/10.1046/j.0307-7772.2001.00481.x.

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23

Bow, D., and F. Boys. "Healthy club program: Evaluation of key health and policy outcomes." Journal of Science and Medicine in Sport 15 (December 2012): S357—S358. http://dx.doi.org/10.1016/j.jsams.2012.11.870.

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24

Bonner, Ann, Kathryn Havas, Cassandra Stone, Jennifer Abel, Maureen Barnes, Vincent Tam, and Clint Douglas. "A multimorbidity nurse practitioner-led clinic: Evaluation of health outcomes." Collegian 27, no. 4 (August 2020): 430–36. http://dx.doi.org/10.1016/j.colegn.2019.11.010.

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25

Nagel, Daniel A., Lisa Keeping-Burke, Ryan J. L. Pyrke, Courtney L. B. Pyrke, Alex Goudreau, Alison Luke, Kimberly A. Wilbur, Loretta Waycott, and Catherine Hamilton. "Frameworks for evaluation of community health centers’ services and outcomes." JBI Database of Systematic Reviews and Implementation Reports 17, no. 4 (April 2019): 451–60. http://dx.doi.org/10.11124/jbisrir-2017-003843.

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26

Rivera, L. Omar, Jessica Danielle Ford, Meredith Marie Hartzell, and Todd Allan Hoover. "An Evaluation of Army Wellness Center Clients’ Health-Related Outcomes." American Journal of Health Promotion 32, no. 7 (February 5, 2018): 1526–36. http://dx.doi.org/10.1177/0890117117753184.

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Purpose: To examine whether Army community members participating in a best-practice based workplace health promotion program (WHPP) experience goal-moderated improvements in health-related outcomes. Design: Pretest/posttest outcome evaluation examining an autonomously participating client cohort over 1 year. Setting: Army Wellness Center facilities on 19 Army installations. Participants: Army community members sample (N = 5703), mostly Active Duty Soldiers (64%). Intervention: Assessment of health risks with feedback, health assessments, health education classes, and health coaching sessions conducted by health educators at a recommended frequency of once a month for 3 to 12 months. Measures: Initial and follow-up outcome assessments of body mass index (BMI), body fat, cardiorespiratory fitness, blood pressure, and perceived stress. Analysis: Mixed model linear regression testing for goal-moderated improvements in outcomes. Results: Clients experienced significant improvements in body fat (−2% change), perceived stress (−6% to −12% change), cardiorespiratory fitness (+6% change), and blood pressure (−1% change) regardless of health-related goal. Only clients with a weight loss goal experienced BMI improvement (−1% change). Follow-up outcome assessment rates ranged from 44% (N = 2509) for BMI to 6% (N = 342) for perceived stress. Conclusion: Army Wellness Center clients with at least 1 follow-up outcome assessment experienced improvements in military readiness correlates and chronic disease risk factors. Evaluation design and follow-up-related limitations notwithstanding results suggest that best practices in WHPPs can effectively serve a globally distributed military force.

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27

Stumpf, Steven H. "Helping Faculty Visualize Outcomes of Afive-Year Curriculum Evaluation." Evaluation & the Health Professions 17, no. 3 (September 1994): 358–65. http://dx.doi.org/10.1177/016327879401700308.

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28

Tawisi, Tamara S. Al, Ola H. Samawi, Buthainah S. Al Qudah, Ruba B. Ayesh, and Mai M. Al Falahat. "Evaluation of Asthma Management Outcomes." Scholars Academic Journal of Pharmacy 11, no. 7 (July 30, 2022): 109–12. http://dx.doi.org/10.36347/sajp.2022.v11i07.002.

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Background: Asthma is a serious global health problem with an estimated 300 million affected individuals. Clinical manifestations of asthma can be controlled with appropriate treatment. When asthma is controlled, severe exacerbations should be rare. The goal of treatment in Asthma is to reduce inflammation and to achieve¸ total control. Treatment with anti-inflammatory drugs can, to a large extent, reverse some of these processes; however, the successful response to therapy often requires weeks to achieve and, in some situations, may be incomplete. Objectives of the study: This study was performed to evaluate the outcomes of Asthma treatment amongst asthmatic patients on follow-up at King Hussein Medical Centre (KHMC) at the Royal Medical Services (RMS) in Jordan/Amman. Methods: A retrospective, observational study was designed and performed on the basis of the asthma patient medical files. The patients’ medical profiles of were revised and the results were assessed according global initiative for asthma (GINA) guidelines. The collected data was analyzed by using statistical Package for the Social Sciences (SPSS) version 22. Results: A total of 210 asthmatic patient’s profiles were revised, and amongst the patient's majority (62.6%) were males and the average age of the participants was 35.1 years with standard deviation (SD) of 9.4. The most (53.3%) have been prescribed asthmatic drug combination was fluticasone propionate and salmeterol xinafoate (Seretide®) for long term asthmatic symptoms management. Amongst the asthmatic patients, 58 % had used antibacterial for their respiratory tract infections (RTIs) and urinary tract infections (UTIs). Conclusion: This study has shown that, despite the existence of an effective medication for asthma, disease control is insufficient and falls short of the accepted global guidelines.

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29

Matthiesen, Valerie, and Cara Wilhelm. "Quality Outcomes and Program Evaluation in Nursing Education." Quality Management in Health Care 15, no. 4 (October 2006): 279–84. http://dx.doi.org/10.1097/00019514-200610000-00010.

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30

Kahraman, Cengiz, Aslı Süder, and İhsan Kaya. "FUZZY MULTICRITERIA EVALUATION OF HEALTH RESEARCH INVESTMENTS." Technological and Economic Development of Economy 20, no. 2 (February 5, 2014): 210–26. http://dx.doi.org/10.3846/20294913.2013.876560.

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Health research and investments are expensive, and its explicit social, health and economic impacts are hard to define. There are many challenges and assumptions in defining specific returns on investment in health research. In the literature, there is no common approach to evaluate health research impacts. Single criterion methods are generally used with validated indicators to track overall outcomes or outcomes in a specific health research area. These methods have the ability of considering only one criterion at a time, which is usually the cost of the investment. A multicriteria method is proposed for taking care of many conflicting criteria of health research investments. The difficulty of measuring intangible criteria is captured by the fuzzy set theory. Fuzzy analytic hierarchy process (AHP) is used for the selection among four possible health research investment alternatives. A sensitivity analysis is made for the changes in the values of various parameters.

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31

Warholak, T., and A. Hincapie. "The Impact of Health Information Exchange on Health Outcomes." Applied Clinical Informatics 02, no. 04 (2011): 499–507. http://dx.doi.org/10.4338/aci-2011-05-r-0027.

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Summary Background and Objective: Healthcare professionals, industry and policy makers have identified Health Information Exchange (HIE) as a solution to improve patient safety and overall quality of care. The potential benefits of HIE on healthcare have fostered its implementation and adoption in the United States. However,there is a dearth of publications that demonstrate HIE effectiveness. The purpose of this review was to identify and describe evidence of HIE impact on healthcare outcomes. Methods: A database search was conducted. The inclusion criteria included original investigations in English that focused on a HIE outcome evaluation. Two independent investigators reviewed the articles. A qualitative coding approach was used to analyze the data. Results: Out of 207 abstracts retrieved, five articles met the inclusion criteria. Of these, 3 were randomized controlled trials, 1 involved retrospective review of data, and 1 was a prospective study. We found that HIE benefits on healthcare outcomes are still sparsely evaluated, and that among the measurements used to evaluate HIE healthcare utilization is the most widely used. Conclusions: Outcomes evaluation is required to give healthcare providers and policy-makers evidence to incorporate in decision-making processes. This review showed a dearth of HIE outcomes data in the published peer reviewed literature so more research in this area is needed. Future HIE evaluations with different levels of interoperability should incorporate a framework that allows a detailed examination of HIE outcomes that are likely to positively affect care.

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32

Callister, Lynn Clark, Natalia Getmanenko, Natalia Garvrish, Olga Eugenevna Marakova, Nataliya Vladimirovna Zotina, and Natalia Turkina. "Outcomes Evaluation of St. Petersburg Russia Women's Wellness Center." Health Care for Women International 30, no. 3 (February 24, 2009): 235–48. http://dx.doi.org/10.1080/07399330802662085.

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33

Lucas, Kathi Salmon. "Outcomes evaluation of a pharmacist discharge medication teaching service." American Journal of Health-System Pharmacy 55, suppl_4 (December 1, 1998): S32—S35. http://dx.doi.org/10.1093/ajhp/55.suppl_4.s32.

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34

Yakimo, Richard, Lenore H. Kurlowicz, and Ruth Beckmann Murray. "Evaluation of outcomes in Psychiatric Consultation-Liaison Nursing practice." Archives of Psychiatric Nursing 18, no. 6 (December 2004): 215–27. http://dx.doi.org/10.1016/j.apnu.2004.09.004.

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35

Turner, Catherine. "Outcomes based commissioning, evaluation and the challenge of decommissioning." International Journal of Integrated Care 20, no. 3 (February 26, 2021): 29. http://dx.doi.org/10.5334/ijic.s4029.

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36

Soria-Aledo, Víctor, Mónica Mengual-Ballester, Enrique Pellicer-Franco, Andrés Carrillo-Alcaraz, Maria José Cases-Baldó, Milagros Carrasco-Prats, Alvaro Campillo-Soto, Benito Flores-Pastor, and Jose Luis Aguayo-Albasini. "Evaluation of a Clinical Pathway to Improve Colorectal Cancer Outcomes." American Journal of Medical Quality 26, no. 5 (August 8, 2011): 396–404. http://dx.doi.org/10.1177/1062860611404049.

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37

Aveline, Mark. "Commentary on ‘Using Clinical Outcomes in Routine Evaluation’." European Journal of Psychotherapy & Counselling 8, no. 2 (June 2006): 227–34. http://dx.doi.org/10.1080/13642530600714847.

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38

Haddad, Slim, Valery Ridde, Ismaelou Yacoubou, Geneviève Mák, and Michel Gbetié. "An Evaluation of the Outcomes of Mutual Health Organizations in Benin." PLoS ONE 7, no. 10 (October 15, 2012): e47136. http://dx.doi.org/10.1371/journal.pone.0047136.

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39

Harris, Miranda, and Aurea Fellows. "Evaluation of the outcomes of a multi-modal brain health programme." European Journal of Integrative Medicine 48 (December 2021): 102010. http://dx.doi.org/10.1016/j.eujim.2021.102010.

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40

Sullivan, S. D., A. S. Buist, and K. Weiss. "Health outcomes assessment and economic evaluation in COPD: challenges and opportunities." European Respiratory Journal 21, Supplement 41 (June 1, 2003): 1S—3s. http://dx.doi.org/10.1183/09031936.03.00077603.

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41

Nabors, Laura A., and Christine A. Prodente. "Evaluation of Outcomes for Adolescents Receiving School-Based Mental Health Services." Children's Services 5, no. 2 (April 2002): 105–12. http://dx.doi.org/10.1207/s15326918cs0502_04.

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42

Smith, Karen, Terri Warholak, Edward Armstrong, Marc Leib, Rick Rehfeld, and Daniel Malone. "Evaluation of Risk Factors and Health Outcomes among Persons with Asthma." Journal of Asthma 46, no. 3 (January 2009): 234–37. http://dx.doi.org/10.1080/02770900802627294.

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43

Burken, Mitchell I. "Traditional health outcomes in the evaluation of diagnostic tests: Panel comments." Academic Radiology 6 (January 1999): S84. http://dx.doi.org/10.1016/s1076-6332(99)80095-6.

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44

Rodriguez, Eunice, and Kathryn A. Bowen. "New Developments and Challenges of Health Status Measurement for Outcomes Evaluation." Evaluation 4, no. 1 (January 1998): 25–36. http://dx.doi.org/10.1177/13563899822208365.

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45

Wolf, Zane Robinson, and Denise Nagle Bailey. "Nursing center-Health Intervention Program in Philadelphia: Program evaluation and outcomes." Nursing Forum 53, no. 2 (November 22, 2017): 161–72. http://dx.doi.org/10.1111/nuf.12238.

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46

Hepworth, J. "Debate. Evaluation in health outcomes research: linking theories, methodologies and practice in health promotion." Health Promotion International 12, no. 3 (September 1, 1997): 233–38. http://dx.doi.org/10.1093/heapro/12.3.233.

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47

Green, Rex S. "Closing the Gap in Evaluation Technology for Outcomes Monitoring." Psychiatric Services 56, no. 5 (May 2005): 611–12. http://dx.doi.org/10.1176/appi.ps.56.5.611.

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48

Fakunle, O., A. Adeyemi, and O. Adesola. "O2-1.3 Evaluation of HIV treatment outcomes in Southwestern Nigeria." Journal of Epidemiology & Community Health 65, Suppl 1 (August 1, 2011): A19. http://dx.doi.org/10.1136/jech.2011.142976a.48.

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49

Webster, Kathleen. "Evaluation Methods in Telehealth: Getting to Outcomes—A Physician's Insight." Telemedicine and e-Health 16, no. 10 (December 2010): 984–85. http://dx.doi.org/10.1089/tmj.2010.9941.

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50

Johnson, FR, and WH Desvousges. "UT1 Trade-Off Preferences for Pharmaceutical Development, Marketing, And Outcomes Evaluation." Value in Health 1, no. 1 (May 1998): 93. http://dx.doi.org/10.1046/j.1524-4733.1998.1100931.x.

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