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1

Dudziak, Mary. "The Outcome of Influence: Hitler’s American Model and Transnational Legal History." Michigan Law Review, no. 117.6 (2019): 1179. http://dx.doi.org/10.36644/mlr.117.6.outcome.

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Wells, George A., Peter Tugwell, Gunnar Tomasson, Francis Guillemin, Lara J. Maxwell, Beverley J. Shea, Shawna Grosskleg, Peter A. Merkel, Lyn March, and Dorcas E. Beaton. "Composite outcomes at OMERACT: Multi-outcome domains and composite outcome domains." Seminars in Arthritis and Rheumatism 51, no. 6 (December 2021): 1370–77. http://dx.doi.org/10.1016/j.semarthrit.2021.11.001.

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Gunderman, R. B. "The outcome of medical outcomes assessment." Academic Medicine 72, no. 8 (August 1997): 682–7. http://dx.doi.org/10.1097/00001888-199708000-00012.

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Le May, Mandy, and Chris Green. "What is the Outcome of the Outcomes? Evaluation of the Therapy Outcome Measures." International Journal of Language & Communication Disorders 33, S1 (January 1998): 75–77. http://dx.doi.org/10.3109/13682829809179400.

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Rothen, Hans Ulrich, and Jukka Takala. "Can outcome prediction data change patient outcomes and organizational outcomes?" Current Opinion in Critical Care 14, no. 5 (October 2008): 513–19. http://dx.doi.org/10.1097/mcc.0b013e32830864e9.

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Lunt, Mark. "Prediction of ordinal outcomes when the association between predictors and outcome differs between outcome levels." Statistics in Medicine 24, no. 9 (2005): 1357–69. http://dx.doi.org/10.1002/sim.2009.

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Dr P.Lekshmi Ammal, Dr R. Simi,. "Perinatal Outcome in Twin Pregnancy." Journal of Medical Science And clinical Research 05, no. 05 (May 6, 2017): 21304–8. http://dx.doi.org/10.18535/jmscr/v5i5.17.

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Pandey, Uma, Anamika Rai, Vrinda Khemani, and Jyotsana Pandey. "Abruptio Placentae and Perinatal Outcome." Indian Journal of Obstetrics and Gynecology 5, no. 3 (2017): 363–66. http://dx.doi.org/10.21088/ijog.2321.1636.5317.7.

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Narayani, B. H., and Sangeetha K. "Maternal Age and Pregnancy Outcome." Indian Journal of Obstetrics and Gynecology 7, no. 1 (2019): 5–8. http://dx.doi.org/10.21088/ijog.2321.1636.7119.1.

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LAMONT, THOMAS J., and JAN E. CLARKSON. "CORE OUTCOME SETS AND DENTAL PATIENT REPORTED OUTCOMES." Journal of Evidence-Based Dental Practice 22, no. 1 (January 2022): 101659. http://dx.doi.org/10.1016/j.jebdp.2021.101659.

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Ferrannini, Ele. "EMPA-REG OUTCOME®: Macrovascular and microvascular outcomes." Diabetes Research and Clinical Practice 120 (October 2016): S37. http://dx.doi.org/10.1016/s0168-8227(16)30987-1.

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12

CLIFFORD, PAUL. "M is for outcome: The CORE outcomes initiative." Journal of Mental Health 7, no. 1 (January 1998): 19–24. http://dx.doi.org/10.1080/09638239818300.

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Reed, C. S., and R. E. Brown. "Outcome–asset impact model: linking outcomes and assets." Evaluation and Program Planning 24, no. 3 (August 2001): 287–95. http://dx.doi.org/10.1016/s0149-7189(01)00024-6.

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14

Herbert, Robert, Gro Jamtvedt, Judy Mead, and Kåre Birger Hagen. "Outcome measures measure outcomes, not effects of intervention." Australian Journal of Physiotherapy 51, no. 1 (2005): 3–4. http://dx.doi.org/10.1016/s0004-9514(05)70047-7.

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15

Borowski, D. W., D. M. Bradburn, S. J. Mills, B. Bharathan, R. G. Wilson, A. A. Ratcliffe, and S. B. Kelly. "Volume-outcome analysis of colorectal cancer-related outcomes." British Journal of Surgery 97, no. 9 (May 26, 2010): 1416–30. http://dx.doi.org/10.1002/bjs.7111.

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Peecher, Mark E., and M. David Piercey. "Judging Audit Quality in Light of Adverse Outcomes: Evidence of Outcome Bias and Reverse Outcome Bias." Contemporary Accounting Research 25, no. 1 (January 1, 2008): 243–74. http://dx.doi.org/10.1506/car.25.1.10.

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Gill, Inderbir S. "W3:Laparoscopic Radical Prostatectomy : Current Techniques and Outcomes(Keynote Lecture,Workshop 3 「Laparoscopic Radical Prostatectomy-Outcome of Each Approach」)." Japanese Journal of Urology 97, no. 2 (2006): 192. http://dx.doi.org/10.5980/jpnjurol.97.192_2.

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Andrews, Gavin, and Andrew C. Page. "Outcome Measurement, Outcome Management and Monitoring." Australian & New Zealand Journal of Psychiatry 39, no. 8 (August 2005): 649–51. http://dx.doi.org/10.1080/j.1440-1614.2005.01648.x.

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19

Winter, Robert B. "When is an outcome an outcome?" Spine Journal 2, no. 4 (July 2002): 237–38. http://dx.doi.org/10.1016/s1529-9430(02)00178-x.

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20

Lubowitz, James H., Matthew T. Provencher, and Gary G. Poehling. "Measuring Orthopaedic Outcome: Shoulder Outcome Measures." Arthroscopy: The Journal of Arthroscopic & Related Surgery 29, no. 5 (May 2013): 791–93. http://dx.doi.org/10.1016/j.arthro.2013.02.009.

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21

Bazarbekova, R. B., and A. K. Dosanova. "Results of the study Empa-Reg Outcome." International Professional Journal "Medicine" 192, no. 6 (June 2018): 30–32. http://dx.doi.org/10.31082/1728-452x-2018-192-6-30-32.

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22

Esposito, Eleonora, Andrea Cipriani, and Corrado Barbui. "Outcome reporting bias in clinical trials." Epidemiologia e Psichiatria Sociale 18, no. 1 (March 2009): 17–18. http://dx.doi.org/10.1017/s1121189x00001408.

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Randomised controlled trials (RCTs) are designed and powered to measure one single outcome, calledprimary outcome(Sibbald & Roland, 1998; Barbuiet al., 2007). The primary outcome is the pre-specified outcome of greatest clinical importance and is usually the one used in the sample size calculation (Accordini, 2007). In addition to the primary outcome, RCTs may have several other outcomes, calledsecondary outcomes. In contrast with the analysis of the primary outcome, the analysis of secondary outcomes and its interpretation may be complicated by at least two factors:1)the trial may not have enough statistical power to detect differences (so it is possible to incur in a type II error, that is failing to see a difference that is present);2)increasing the number of secondary outcomes generates the problem of multiplicity of analyses, that is the proliferation of possible comparisons in a trial (and increasing the number of comparisons increases the possibility to incur in a type I error, that is detecting significant differences by chance). For all these reasons, the results of the analysis of primary outcomes is considered less susceptible to bias than the analysis of secondary outcomes.
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23

Saldanha, Ian J., Susanna Dodd, Rebecca Fish, Sarah L. Gorst, Deborah A. Hall, Pamela Jacobsen, Jamie J. Kirkham, Dominic Trepel, and Paula R. Williamson. "Comparison of published core outcome sets with outcomes recommended in regulatory guidance from the US Food and Drug Administration and European Medicines Agency: cross sectional analysis." BMJ Medicine 1, no. 1 (November 2022): e000233. http://dx.doi.org/10.1136/bmjmed-2022-000233.

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ObjectiveTo compare the outcomes in published core outcome sets with the outcomes recommended in corresponding guidance documents from the European Medicines Agency (EMA) and US Food and Drug Administration (FDA), matched by health condition.DesignCross sectional analysis.SettingUS and Europe.PopulationSample of core outcome sets related to drugs, devices, and gene therapy that involved patients in the consensus process, published between 1 January 2015 and 31 December 2019; and corresponding EMA and FDA guidance documents.Main outcome measuresThe extent of matches between outcomes included within core outcome sets and those recommended in corresponding EMA and FDA guidance documents were assessed. Matches were considered to be general (ie, non-specific) or specific (ie, exact). General matches were assessed to determine whether the core outcome set or guidance document outcome was narrower.ResultsRelevant guidance documents were found for for 38 (39%) of 98 eligible published core outcome sets. Among outcomes in core outcome sets, medians of 70% (interquartile range 48-86%) and 52% (33-77%) were matches with outcomes recommended in EMA and FDA documents, respectively. Medians of 46% (27-68%) and 26% (18-46%) were specific matches with outcomes in EMA and FDA documents, respectively. When outcomes were generally matched, the outcomes from core outcome sets were more frequently narrower than the regulatory outcomes (83% and 75% for EMA and FDA, respectively).ConclusionGreater adoption of, and reference to, core outcome sets in regulatory guidance documents can encourage clinical trialists, especially those in industry, to measure and report consistent and agreed outcomes and improve the quality of guidance. Given the overlap between outcomes in core outcome sets and regulatory guidance, and given that most core outcome sets now involve patients in the consensus process, these sets could serve as a useful resource for regulators when recommending outcomes for studies evaluating regulated products. Developers are encouraged to appraise recommended outcomes in salient regulatory documents when planning a core outcome set.
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Wada, Hiromi. "For Better outcome in lung transplantation." Journal of the Japanese Association for Chest Surgery 19, no. 3 (2005): 276–77. http://dx.doi.org/10.2995/jacsurg.19.276.

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Sujata, Pendyala. "Maternal and Perinatal outcome in Eclampsia." Journal of Medical Science And clinical Research 04, no. 11 (November 28, 2016): 14258–63. http://dx.doi.org/10.18535/jmscr/v4i11.118.

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26

Joshi, Dr Shilpa, Dr Amruta Kulkarni, and Dr Girish Godbole. "Weight Gain, Correlation with Obstetric Outcome." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 467–69. http://dx.doi.org/10.15373/2249555x/may2013/145.

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27

Rathod, Bipin, Sunil Mhaske, Liza Bulsara, and Vishnu Kadam. "Neonatal Mechanical Ventilation: Indications and Outcome." Indian Journal of Maternal-Fetal and Neonatal Medicine 3, no. 2 (2016): 81–86. http://dx.doi.org/10.21088/ijmfnm.2347.999x.3216.4.

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28

Narayani, B. H. "Amniotic Fluid Volume and Pregnancy Outcome." Indian Journal of Obstetrics and Gynecology 6, no. 6 (2018): 625–27. http://dx.doi.org/10.21088/ijog.2321.1636.6618.9.

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Desai, Archish. "Fetomaternal Outcome in Jaundice Complicating Pregnancy." Indian Journal of Obstetrics and Gynecology 8, no. 1 (2020): 9–14. http://dx.doi.org/10.21088/ijog.2321.1636.8120.1.

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30

Swapna A, Shedge, Havle Abhay D, Roy Priya, and Shedge Ajay J. "STYLALGIA - GLOSSOPHARYNGEAL NEURALGIA: OUTCOME OF MANAGEMENT." International Journal of Anatomy and Research 5, no. 2.3 (June 30, 2017): 3952–57. http://dx.doi.org/10.16965/ijar.2017.227.

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Jain, Dr Kishor, Dr Rahul K. Shah, and Dr Mihir Chavda. "Outcome of Single Port Laparoscopic Surgery." International Journal of Scientific Research 2, no. 12 (June 1, 2012): 18–19. http://dx.doi.org/10.15373/22778179/dec2013/183.

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32

Pisani, Francesco, and Carlotta Spagnoli. "Neonatal Seizures: A Review of Outcomes and Outcome Predictors." Neuropediatrics 47, no. 01 (November 20, 2015): 012–19. http://dx.doi.org/10.1055/s-0035-1567873.

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33

Kovach, Christine R. "Outcomes Part I: What Makes a Good Outcome Measure?" Research in Gerontological Nursing 12, no. 6 (November 1, 2019): 271–73. http://dx.doi.org/10.3928/19404921-20191024-01.

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Kovach, Christine R. "Outcomes Part II: What Makes a Bad Outcome Measure?" Research in Gerontological Nursing 13, no. 1 (January 1, 2020): 2–4. http://dx.doi.org/10.3928/19404921-20191206-01.

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35

Rastrick, Suzanne, and Joanne Fillingham. "Citizen outcomes and the chain of outcome measure delivery." International Journal of Therapy and Rehabilitation 23, no. 1 (January 2, 2016): 6–7. http://dx.doi.org/10.12968/ijtr.2016.23.1.6.

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Dennis, M. "Emotional outcomes after stroke: factors associated with poor outcome." Journal of Neurology, Neurosurgery & Psychiatry 68, no. 1 (January 1, 2000): 47–52. http://dx.doi.org/10.1136/jnnp.68.1.47.

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37

Dickinson, M. G., C. E. Kelty, E. A. Crittenden, D. K. Donahue, E. R. Thomas, J. R. Everly, M. D. Sligh, et al. "Psychosocial Outcome Categories to Better Understand Outcomes After VAD." Journal of Heart and Lung Transplantation 37, no. 4 (April 2018): S474. http://dx.doi.org/10.1016/j.healun.2018.01.1233.

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38

Braithwaite, J., J. Westbrook, and L. Lazarus. "What will be the outcome of the outcomes movement?" Australian and New Zealand Journal of Medicine 25, no. 6 (December 1995): 731–35. http://dx.doi.org/10.1111/j.1445-5994.1995.tb02862.x.

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John, Alexandra, Pamela Enderby, and Anthony Hughes. "Benchmarking outcomes in dysphasia using the Therapy Outcome Measure." Aphasiology 19, no. 2 (February 2005): 165–78. http://dx.doi.org/10.1080/0268703044000679.

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Terachi, Toshiro, Yukio Usui, Masanori Shima, Yasuyuki Kobayashi, Nobuhiko Hyochi, Tadashi Hanai, Zenkai Nishikawa, Kazuya Hanai, Akio Hoshi, and Kazuhiro Okumura. "W3-1 Outcome of transperitoneal laparoscopic radical prostatectomy(Workshop 3 「Laparoscopic Radical Prostatectomy-Outcome of Each Approach」)." Japanese Journal of Urology 97, no. 2 (2006): 193. http://dx.doi.org/10.5980/jpnjurol.97.193_1.

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41

Li, Geng, Ruxue Han, Wencong Cao, Zehuai Wen, and Xiankun Chen. "Outcome Reporting Variability in Trials of Chinese Medicine for Hyperlipidemia: A Systematic Review for Developing a Core Outcome Set." Evidence-Based Complementary and Alternative Medicine 2021 (June 10, 2021): 1–9. http://dx.doi.org/10.1155/2021/8822215.

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Introduction. Hyperlipidemia is an underlying process behind cardiovascular disease. Chinese medicine (CM) may be effective in treating hyperlipidemia, but there is a lack of studies with high methodological quality. A major reason for this is heterogeneity in outcome reporting. Therefore, this study explores the degree of outcome reporting variation in CM trials for hyperlipidemia. It then generates a list of potentially important outcomes for developing a core outcome set (COS). Methods. A systematic review of literature focusing on studies of CM for hyperlipidemia was conducted. Outcomes were listed verbatim and grouped into 8 domains. Outcome frequency and definition uniformity were analyzed. Results. 3,702 studies and 452 individual outcomes were identified. These outcomes were reported 27,328 times, of which 1.6% were reported as primary outcomes, and 13.3% were defined. The most frequent outcome was total triglyceride, represented in 86.7% of the studies, followed by total cholesterol (86.0%), total effective rate (75.1%), high-density lipoprotein cholesterol (73.2%), and low-density lipoprotein cholesterol (60.5%). However, 43.6% of outcomes were reported only once. The largest outcome domain was “pathological or pathophysiological outcomes,” which included 67.0% of outcomes. Of the “response rate related outcomes” domain, total effective rate was the most frequently reported outcome (n = 2,780), and 95.3% of the studies gave a clear definition. However, these definitions were often contradictory. Only 10 papers reported cardiovascular events, 3 of which referred to them as primary outcomes. Moreover, ten patient-reported outcomes were reported in the retrieved literature 19 times in total. The majority of the outcomes did not report measurement instruments (MIs) (269/453, 59.4%). MIs of the surrogate outcomes were reported more frequently. Conclusion. Outcome reporting in CM trials for hyperlipidemia is inconsistent and ill-defined, creating barriers to data synthesis and comparison. Thus, we propose and are developing a COS for CM trials for hyperlipidemia.
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Butt, Warwick W. "Outcome assessment—What Outcome do we want?*." Pediatric Critical Care Medicine 10, no. 1 (January 2009): 133–34. http://dx.doi.org/10.1097/pcc.0b013e31819376b7.

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Heisenberg, Martin. "Outcome learning, outcome expectations, and intentionality inDrosophila." Learning & Memory 22, no. 6 (May 15, 2015): 294–98. http://dx.doi.org/10.1101/lm.037481.114.

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Guex, Jean-Jérôme. "Patient-reported outcome or physician-reported outcome?" Phlebology: The Journal of Venous Disease 23, no. 6 (December 2008): 251. http://dx.doi.org/10.1258/phleb.2008.008067.

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Ko�, R. Kemal, Hidayet Akdemir, I. Suat �ktem, Mehmet Meral, and Ahmet Menk�. "Acute subdural hematoma: Outcome and outcome prediction." Neurosurgical Review 20, no. 4 (1997): 239–44. http://dx.doi.org/10.1007/bf01105894.

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46

Bonduelle, Maryse. "Paediatric outcome following infertility management/genetic outcome." International Congress Series 1266 (April 2004): 343–50. http://dx.doi.org/10.1016/j.ics.2004.02.001.

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47

Quigley, Martyn C., Carla J. Eatherington, and Mark Haselgrove. "Learned changes in outcome associability." Quarterly Journal of Experimental Psychology 72, no. 2 (January 1, 2018): 209–21. http://dx.doi.org/10.1080/17470218.2017.1344258.

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When a cue reliably predicts an outcome, the associability of that cue will change. Associative theories of learning propose this change will persist even when the same cue is paired with a different outcome. These theories, however, do not extend the same privilege to an outcome; an outcome’s learning history is deemed to have no bearing on subsequent new learning involving that outcome. Two experiments were conducted which sought to investigate this assumption inherent in these theories using a serial letter-prediction task. In both experiments, participants were exposed, in Stage 1, to a predictable outcome (‘X’) and an unpredictable outcome (‘Z’). In Stage 2, participants were exposed to the same outcomes preceded by novel cues which were equally predictive of both outcomes. Both experiments revealed that participants’ learning towards the previously predictable outcome was more rapid in Stage 2 than the previously unpredicted outcome. The implications of these results for theories of associative learning are discussed.
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48

Marson, Ben Arthur, Joseph C. Manning, Marilyn James, Simon Craxford, Sandeep R. Deshmukh, and Benjamin J. Ollivere. "CORE-Kids: a protocol for the development of a core outcome set for childhood fractures." BMJ Open 10, no. 2 (February 2020): e036224. http://dx.doi.org/10.1136/bmjopen-2019-036224.

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IntroductionLimb fractures in children are common yet there are few trials that compare treatments for these injuries. There is significant heterogeneity in the outcomes reported in the paediatric orthopaedic literature, which limits the ability to compare study results and draw firm conclusions. The aim of the CORE-Kids Study is to develop a core outcome set for use in research studies of childhood limb fractures. A core outcome set will provide a minimum set of outcomes to be measured in all trials to minimise the heterogeneity of outcomes reported and minimise reporting bias. A core outcome set ensures that outcomes are reported that are relevant to families as well as clinicians. The core outcome set will include additional upper and lower limb modules.MethodsThe development of the core outcome set will require four phases to evaluate:What are the outcomes that are relevant to professionals?What are the outcomes that are relevant to families?What are the most important of these outcomes?Which outcomes should be included in the core outcome set?This will be completed through a systematic review of trials to identify the outcomes domains that are relevant to trialists. A series of semi-structured interviews will be completed with families to identify the outcome domains that are relevant to families. These outcome domains will be used in a three-round Delphi Study to analyse the importance of these outcome domains to a range of stakeholders including parents, clinicians and researchers. Following this, the core outcome set will be decided at a consensus meeting.Ethics and disseminationEthical approval has been awarded HRA/REC IRAS number 262503. Date of approval 06/08/2019. Dissemination will be through scientific literature and international societies.Trial registrationCore Outcome Measures in Effectiveness Trials Initiative, registration number: 1274. Date of registration 13/12/2018.PROSPERO registration numberCRD42018106605.
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Aquilina, Alexander L., Henry Claireaux, Christian O. Aquilina, Elizabeth Tutton, Raymond Fitzpatrick, Matthew L. Costa, and Xavier L. Griffin. "What outcomes have been reported on patients following open lower limb fracture, and how have they been measured?" Bone & Joint Research 12, no. 2 (February 14, 2023): 138–46. http://dx.doi.org/10.1302/2046-3758.122.bjr-2022-0116.r1.

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AimsOpen lower limb fracture is a life-changing injury affecting 11.5 per 100,000 adults each year, and causes significant morbidity and resource demand on trauma infrastructures. This study aims to identify what, and how, outcomes have been reported for people following open lower limb fracture over ten years.MethodsSystematic literature searches identified all clinical studies reporting outcomes for adults following open lower limb fracture between January 2009 and July 2019. All outcomes and outcome measurement instruments were extracted verbatim. An iterative process was used to group outcome terms under standardized outcome headings categorized using an outcome taxonomy.ResultsA total of 532 eligible studies were identified, reporting 1,803 outcomes with 786 unique outcome terms, which collapsed to 82 standardized outcome headings. Overall 479 individual outcome measurement instruments were identified, including 298 outcome definitions, 27 patient- and 18 clinician-reported outcome measures, and six physical performance measures. The most-reported outcome was ‘bone union/healing’ reported in over 50% of included studies, while health-related quality of life was only measured in 6% of included studies.ConclusionOutcomes reported for people recovering from open lower limb fracture are heterogeneous, liable to outcome reporting bias, and vary widely in the definitions and the measurement tools used to collect them. Outcomes likely to be important to patients, such as quality of life and measures of physical functioning, have been neglected. This systematic review identifies the need to unify outcome measures reported on patients recovering from open lower limb fracture; this may be addressed by creating a core outcome set.Cite this article: Bone Joint Res 2023;12(2):138–146.
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50

Paz, Clara, and Chris Evans. "The Clinical Outcomes in Routine Evaluation-Outcome Measure: A useful option for routine outcome monitoring in Latin America." Revista Brasileira de Psicodrama 27, no. 2 (December 18, 2019): 226–30. http://dx.doi.org/10.15329/2318-0498.20190024.

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Latin American mental health services are moving from the psychiatric hospital model to a community-based model. The effectiveness of these new services needs to be evaluated and that can be done through routine outcome monitoring. The present communication introduces the Clinical Outcomes in Routine Evaluation – Outcome Measure (CORE-OM), a free instrument, supported with rigorous psychometric exploration, and which has been translated to Spanish and Brazilian Portuguese that can be used for monitoring purposes across the region.
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