Measuring Outcome in Pediatric Anesthesia: Difference between revisions
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[https://associationofanaesthetists-publications.onlinelibrary.wiley.com/doi/10.1111/anae.15755 How to perform and write a meta-analysis] | [https://associationofanaesthetists-publications.onlinelibrary.wiley.com/doi/10.1111/anae.15755 How to perform and write a meta-analysis] | ||
[https://pubmed.ncbi.nlm.nih.gov/36069894/ Perioperative Mortality in Pediatric Patients: A Systematic Review of Risk Assessment Tools for Use in the Preoperative Setting] | [https://pubmed.ncbi.nlm.nih.gov/36069894/ Perioperative Mortality in Pediatric Patients: A Systematic Review of Risk Assessment Tools for Use in the Preoperative Setting] | ||
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[https://associationofanaesthetists-publications.onlinelibrary.wiley.com/doi/epdf/10.1111/anae.16420 The central limit theorem: The remarkable theory that explains all of of statistics] | [https://associationofanaesthetists-publications.onlinelibrary.wiley.com/doi/epdf/10.1111/anae.16420 The central limit theorem: The remarkable theory that explains all of of statistics] | ||
[https://pubmed.ncbi.nlm.nih.gov/39107163/ Development and validation of a score for prediction of postoperative respiratory complications in infants and children (SPORC-C)] | [https://pubmed.ncbi.nlm.nih.gov/39107163/ Development and validation of a score for prediction of postoperative respiratory complications in infants and children (SPORC-C)] | ||
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[https://pubmed.ncbi.nlm.nih.gov/34764497/ Adopting newer strategies of perioperative quality improvement: The bandwagon moves on…] | [https://pubmed.ncbi.nlm.nih.gov/34764497/ Adopting newer strategies of perioperative quality improvement: The bandwagon moves on…] | ||
https://pubmed.ncbi.nlm.nih.gov/36288819/ | [https://pubmed.ncbi.nlm.nih.gov/36288819/ Scaling up of safety and quality improvement interventions in perioperative care: a systematic scoping review of implementation strategies and effectiveness] | ||
[https://www.cms.gov/medicare/quality-initiatives-patient-assessment-instruments/mms/quality-measure-and-quality-improvement- CMS: Quality Measurement and Quality Improvement] | [https://www.cms.gov/medicare/quality-initiatives-patient-assessment-instruments/mms/quality-measure-and-quality-improvement- CMS: Quality Measurement and Quality Improvement] | ||
[https://journals.lww.com/ijebh/fulltext/2023/12000/implementation_science__a_primer.1.aspx Implementation science: a primer] | |||
[https://pubmed.ncbi.nlm.nih.gov/29425593/ Implementation Science in Perioperative Care] | |||
[https://onlinelibrary.wiley.com/doi/10.1111/pan.14439 Lean methodology in quality improvement] | |||
Dakhale GN, Hiware SK, Shinde AT, Mahatme MS. Basic biostatistics for post-graduate students. Indian J Pharmacol. 2012 Jul-Aug; 44(4): 435-42. PMID: 23087501 | |||
Wissing DR, Timm D. Statistics for the nonstatistician: Part I. South Med J. 2012 Mar; 105(3): 126-30. PMID: 22392207 | |||
Hou W, Carden D. Statistics for the nonstatistician: Part II. South Med J. 2012 Mar; 105(3): 131-5. PMID: 22392208 | |||
[https://link.springer.com/content/pdf/10.1007/978-3-030-98175-4.pdf 📒 The Pathway to Publishing: A Guide to Quantitative Writing in the Health Science (Stephen Luby Dorothy L. Southern)] | |||
Mascha EJ, Vetter TR. Significance, errors, power, and sample size: The blocking and tackling of statistics. Anesth Analg. 2018 Feb; 126(2): 691-698. PMID: 29346210 | |||
Pace NL. Experimental design and statistics. In: Barash PG, Cullen BF, Stoelting RK, et al., eds. Clinical Anesthesia. 8th ed. Philadelphia, PA: Wolters Kluwer; 2017: 170. | |||
Latest revision as of 14:14, 23 November 2025
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Relevant Article Depot:
Searching for the Holy Grail: measuring risk in paediatric anaesthesia
Pediatric anesthesia - potential risks and their assessment: part I
Pediatric anesthesia--potential risks and their assessment: part II
Biostatistics for Biomedical Research
Setting a Universal Standard: Should We Benchmark Quality Outcomes for Pediatric Anesthesia Care?
How to perform and write a meta-analysis
The Anesthesia Incident Reporting System (AIRS) AIRS Case Entry
Introduction to Bayesian Analyses for Clinical Research
Outcomes in pediatric anesthesia: towards a universal language
Risk Stratification to Predict Perioperative Mortality in Children
The central limit theorem: The remarkable theory that explains all of of statistics
Behavioural disorders after prenatal exposure to anaesthesia for maternal surgery
Core concepts in statistics and research methods. Part I: statistical inference
NAP7: high mortality risk in neonates and very low risk in children
Tung A, Dutton RP. Anesthesia Quality Improvement: Current State and Future Opportunities. Anesthesiology 2025; 142(1):217-29. doi:10.1097/ALN.0000000000005252. PMID: 39655985.
Kanjia MK, Kurth CD, Hyman D, et al. Perspectives on Anesthesia and Perioperative Patient Safety: Past, Present, and Future. Anesthesiology. 2024;141(5):835-848. doi:10.1097/ALN.0000000000005164. PMID: 39377708.
Bhattacharya K. Takuo Aoyagi - a Tribute to the Brain Behind Pulse Oximetry. Indian J Surg. 2020 Dec;82(6):1332-1333. doi: 10.1007/s12262-020-02365-x. Epub 2020 May 20. PMID: 32837057; PMCID: PMC7237228.
Institute of Medicine Committee on Quality of Healthcare in America: Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, D.C., National Academies Press, 2001.
Hollnagel E, Wears RL, Braithwaite J: From Safety-I to Safety-II: A White Paper. Denmark: Resilient Health Care Net. 2015. Available at: https://www.england.nhs.uk/signuptosafety/wp-content/uploads/ sites/16/2015/10/safety-1-safety-2-whte-papr.pdf.
Leveson N. Safety III: A Systems Approach to Safety and Resilience. MIT Engineering Systems Lab. Available at: https//sunnyday.mit.edu/safety-3.pdf.
Lawton R, Taylor N, Clay-Williams R, et al. Positive deviance: a different approach to achieving patient safety. BMJ Qual Saf 2014;23(11):880-3. doi:10.1136/bmjqs-2014-003115. PMID: 25049424.
Factorial Clinical Trial Designs
Flipping the Conditional: Why We Are Probably Wrong About Probabilities
Ioannidis J. Why Most Published Research Findings Are False. PLoS Medicine 2005; 2(8):696-701.DOI: 10.1371/journal.pmed.0020124
Sundström FTA, Lavefjord A, Buhrman M, McCracken LM. Are People With Chronic Pain More Diverse Than We Think? An Investigation of Ergodicity. Pain 2025; doi.org/10.1097/j.pain.0000000000003573
Vlaeyen JWS, Milde C. The Precarious Use of Group Data to Understand Individual Processes in Pain Science. Pain 2025; doi.org/10.1097/j.pain.0000000000003574
Leahy IC, Baier AW, Staffa SJ, Romano M, Brustowicz RM: Preterm and Early-Term Neonates: Independent Risk Factors Associated With Mortality After Surgery. Pediatrics Open Science 2025; 1: 1–7
How to Communicate Medical Numbers
Systematic review
A systematic review summarizes the findings of primary research studies that address a specific research question. It uses explicit and reproducible methods to search, appraise, and synthesize the evidence.
Systematic reviews are often used to inform clinical guidelines and policy.
Meta-analysis A meta-analysis is a statistical process that combines the results from multiple studies to estimate the overall effect of a variable or intervention. Meta-analyses are often an outcome of a systematic review.
Scoping review A scoping review is a preliminary assessment of the available research literature on a topic. It aims to identify the nature and extent of the research evidence, including ongoing research. Scoping reviews are less rigorous than systematic reviews and are not usually used to inform policy and practice.
Quality Improvement Strategies
Adopting newer strategies of perioperative quality improvement: The bandwagon moves on…
CMS: Quality Measurement and Quality Improvement
Implementation science: a primer
Implementation Science in Perioperative Care
Lean methodology in quality improvement
Dakhale GN, Hiware SK, Shinde AT, Mahatme MS. Basic biostatistics for post-graduate students. Indian J Pharmacol. 2012 Jul-Aug; 44(4): 435-42. PMID: 23087501
Wissing DR, Timm D. Statistics for the nonstatistician: Part I. South Med J. 2012 Mar; 105(3): 126-30. PMID: 22392207
Hou W, Carden D. Statistics for the nonstatistician: Part II. South Med J. 2012 Mar; 105(3): 131-5. PMID: 22392208
Mascha EJ, Vetter TR. Significance, errors, power, and sample size: The blocking and tackling of statistics. Anesth Analg. 2018 Feb; 126(2): 691-698. PMID: 29346210
Pace NL. Experimental design and statistics. In: Barash PG, Cullen BF, Stoelting RK, et al., eds. Clinical Anesthesia. 8th ed. Philadelphia, PA: Wolters Kluwer; 2017: 170.