ABC of Evidence-Based Healthcare

• Autore: Frain John
• Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , 2025; ©2025
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (203 pages)
• Disciplina: 616
• Soggetto topico: Evidence-based medicine; Medical education
• Nota di contenuto: Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 What Is Evidence-Based Healthcare? -- Introduction -- Healthcare before evidence-based healthcare -- The philosophy of evidence-based healthcare (4) -- The origins of the evidence-based healthcare movement -- Using evidence at the bedside -- The achievements of evidence-based healthcare -- The key steps of evidence-based healthcare -- So what is evidence-based healthcare? -- The ethical dimension -- References -- Chapter 2 Identifying Clinical Questions -- Introduction -- Clinical background questions versus foreground questions -- What are background questions? -- What are foreground questions? -- Where do clinical questions come from? -- Identifying the clinical problem -- Patient engagement -- Types of clinical questions (6, 7) -- Using the PICO framework (2, 8) -- Finding evidence -- Appraise, apply and evaluate the evidence -- Examples of differing types of clinical questions using the aforementioned structured approach -- Aetiology/harm -- Diagnosis -- Therapy -- Prognosis -- Prevention -- Health economics in clinical questions -- Integrating health economics into the PICO framework (10) -- Incorporating health economics into clinical questions (10) -- The impact of answering clinical questions -- Applying evidence-based practice in daily clinical practice -- Engaging in continuous learning and professional development -- Integrating health economics into clinical decision-making -- Future research and quality improvement -- Summary -- References -- Chapter 3 Finding the Evidence -- Where is the evidence? -- What is a database? -- Medical summaries and databases -- What is peer review? -- Can't I just use Google it? -- What about Google Scholar? -- Hierarchies of evidence - the evidence pyramids -- The pyramid of studies. ; The '6-S Pyramid' (8) -- Search strategies -- Getting started -- Deriving search terms -- Exploding your search -- Focusing the search -- Limiting a search to titles only -- Using Boolean operators -- AND -- OR -- NOT -- Thesaurus -- Comprehensive search strategies -- Systematic review -- Primary research papers -- Internet searches -- Grey literature -- Selecting studies -- Limitations of the evidence pyramid -- Tips on abstract screening -- Reporting a search -- References -- Chapter 4 Principles of Study Design -- Introduction -- Research study design -- Non-analytic studies -- Analytic studies (4) -- Experimental studies (6) -- What type of study am I reading? -- Accounting for bias in study design -- Effect of confounding and bias on study design and bias -- Advantages and disadvantages of the designs -- Randomised controlled trial -- Cohort study -- Case-control studies -- Cross-sectional survey -- Designing and planning a study -- Review of literature -- Formulating hypotheses -- Specification of needed data -- Methods and techniques to yield data needed -- Planning the analysis -- Pretesting study design and data collection -- Analysis and interpretation of data -- Misconceptions -- What is a clinical trial? -- Planning a clinical trial -- Conceptual phase -- Pilot study -- Trial phase -- Common pitfalls in clinical trials -- Evidence synthesis -- What is evidence synthesis? (22) -- Systematic reviews -- Registration and reporting of results -- Reporting guidelines -- References -- Further reading -- Chapter 5 Qualitative Research -- Introduction -- The qualitative research question -- Data in qualitative research -- Qualitative study designs -- Ethnography (6) -- Grounded theory (6) -- Phenomenology (6) -- Case study research (6) -- Narrative research -- Historical research -- Conducting a qualitative research study -- Sampling (8). ; Convenience sampling -- Purposive sampling -- Snowball sampling -- Intensity sampling -- Determining the sample size -- Data collection -- Focus groups (8) -- One-to-one interviews -- Interview topic guide -- Principles of data analysis -- Computer-assisted qualitative data analysis (CAQDAS) -- Bias in qualitative research -- Reflexivity -- Reporting qualitative research studies -- Critical appraisal of qualitative research -- Mixed methods -- Generalisability of qualitative research -- References -- Chapter 6 Statistical Concepts -- Introduction -- Oh no, not statistics! -- What are statistics for? -- Types of data -- Identifying data types -- Numerical (quantitative) data -- Categorical data -- Descriptive and inferential statistics -- Measures of spread of data -- Reporting central tendency -- Visualising data -- Transforming data -- Sample point estimate (2) -- Data accuracy and quality -- Errors, bias and prejudice -- Standard error -- Standard error of the mean -- Confidence intervals -- Confidence intervals of a mean -- Why do we use 95%? -- Hypothesis testing -- The null hypothesis -- Errors in hypothesis testing -- What is a P value? -- Choosing statistical tests -- Correlation and regression -- Population and sampling -- Diagnostic tests -- Predictive values -- Likelihood ratios and pre- and post-test odds -- Receiving operating characteristic (ROC) curves -- References -- Further reading -- Chapter 7 Critical Appraisal -- Overview -- What is critical appraisal? -- Validity -- Initial points -- The journal of publication -- Assessing a journal -- The title -- Authorship -- Initial questions (9) -- The abstract -- Introduction or background -- Aims and objectives -- Appraising the study question -- Method -- Results -- Discussion/conclusions -- Declarations -- Conflicts of interest -- Assessing bias in studies. ; Inclusion in subgroup analysis -- Reporting standards -- Appraisal tools -- The critical appraisal skills programme (CASP) (13) -- Systematic reviews and meta-analyses -- Meta-analyses -- Acknowledgements -- References -- Further reading -- Chapter 8 Evidence into Practice -- Introduction -- Patient and public involvement -- Knowledge-to-action cycle -- Implementation science -- Guidelines -- Clinical reasoning, evidence, communication and shared decision-making -- Patient health literacy -- Communicating risk to patients -- Decision aids -- Statistical concepts -- References -- Further reading -- Chapter 9 Challenges in Evidence-Based Healthcare -- Inclusion in research -- Artificial intelligence -- 'Listen to the patient and their data -- they are telling you the diagnosis' -- Are there limitations to evidence-based healthcare? -- References -- Chapter 10 Teaching and Learning Evidence-Based Healthcare -- The learner's experience -- Evidence is everywhere -- Evidence-based physical examination -- Clinical prediction rules -- Tips for evidence-based bedside teaching -- Practising the five steps of evidence-based healthcare -- The evidence-based healthcare curriculum -- Teaching strategies for evidence-based healthcare -- Journal clubs -- Learner attitudes -- Summary -- References -- Glossary -- Bibliography -- Useful Tools and Websites -- Index -- EULA.
• Sommario/riassunto: This book explores the principles and practices of evidence-based healthcare, emphasizing the need for high-quality evidence to inform clinical decisions and improve patient outcomes. Authored by John Frain, a frontline clinician, it addresses key topics such as study design, qualitative research, statistical concepts, critical appraisal, and the integration of evidence into practice. The author reflects on challenges in healthcare, particularly during the COVID-19 pandemic, and advocates for embedding evidence-based approaches into healthcare education and policy. The book is intended for healthcare professionals, students, and educators, offering practical guidance and resources to navigate the complexities of modern healthcare.
• Titolo autorizzato: ABC of Evidence-Based Healthcare
• ISBN: 9781394219346; 1394219342
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911019504103321
• Lo trovi qui: Univ. Federico II
• Serie: ABC Series