The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Decision Making in Health and Medicine: Integrating Evidence and Values
Abstract
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing the resources required. This text takes a proactive, systematic and rational approach to medical decision making. It covers decision trees, Bayesian revision, receiver operating characteristic curves, and cost-effectiveness analysis, as well as advanced topics such as Markov models, microsimulation, probabilistic sensitivity analysis and value of information analysis. It provides an essential resource for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Another approach is to use within-cycle corrections (WCC).2,22”
From An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (2023) · cites this paper as [22]
Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
EuroQol: a new facility for the measurement of health-related quality of life
(1990) · Health Policy · doi:10.1016/0168-8510(90)90421-9 · Cited by 15,736
Methods for the Economic Evaluation of Health Care Programmes
Drummond, M. E., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005) · doi:10.1093/oso/9780198529446.001.0001 · Cited by 13,648
Self-citationThe file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991) · Journal of Economic Perspectives · doi:10.1257/jep.5.1.193 · Cited by 5,019
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
Cited by
Sorted by citations
Items 201–252 of 252
Challenges in Modelling the Cost Effectiveness of Various Interventions for Cardiovascular Disease
Burgers, L., Redekop, W., & Severens, J. (2014) · PharmacoEconomics (Auckland) · doi:10.1007/s40273-014-0155-9 · Cited by 5
Nee, R., Yuan, C. M., & Abbott, K. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.01.010 · Cited by 5
Latour-Pérez, J., & Anuncibay, P. G. (2012) · Medicina Intensiva (English Edition) · doi:10.1016/j.medine.2012.07.005 · Cited by 1
Browne, J., Dempsey, I. J., Novicoff, W., & Wanchek, T. (2018) · American journal of orthopedics · doi:10.12788/ajo.2018.0039 · Cited by 4
“Materials and Methods A Markov decision model was used to evaluate the cost-effectiveness of APT components.(4) A Markov decision model is a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker.”
MethodWang, Y., Mai, Y., & He, W.-L. (2016) · doi:10.1080/19466315.2016.1202135 · Cited by 4
Ogata, J., Fonseca, M., de Almeida, M. D., & Guinsburg, R. (2016) · Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2015.1111331 · Cited by 4
“those that improve the outcomes and decrease costs should be adopted and widely incorporated in the treatment arsenal [19].”
BackgroundMethodValue of information methods for assessing a new diagnostic test
Chen, M., & Willan, A. (2014) · Statistics in Medicine · doi:10.1002/sim.6085 · Cited by 4
Limited utility of algorithms predicting blood transfusions.
Karger, R., Bornmann, A., & Kretschmer, V. (2013) · Blood transfusion = Trasfusione del sangue · doi:10.2450/2012.0048-12 · Cited by 4
Nordby, H., & Nøhr, Ø. N. (2011) · doi:10.1179/1753807611y.0000000004 · Cited by 4
Decision Modeling of Disagreements
Lehmann, H., Dambita, N., Buchanan, G., & Casella, J. (2011) · Medical decision making · doi:10.1177/0272989x11400417 · Cited by 4
Gonçalves, M. A., & Alemão, M. M. (2018) · doi:10.5935/2238-3182.20180136 · Cited by 4
Janes, H., Brown, M. D., Glidden, D., Mayer, K., Buchbinder, S., McMahan, V. M., Schechter, M., Guanira, J., & Casapia, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222183 · Cited by 3
Olivera, C. O. E., Duque, M. G., Flórez, R. D. J. D., Novoa, C. A. D., & Díaz, J. J. B. (2016) · Acta Colombiana de Cuidado Intensivo · doi:10.1016/j.acci.2016.08.004 · Cited by 4
Ethical dilemmas among dental professionals in Davangere city- a cross-sectional survey.
Sg, P., Singla, H., Lawrence, D., & Veeresh, D. (2016) · Indian Journal of Medical Ethics · doi:10.20529/ijme.2016.024 · Cited by 3
“To improve decision-making in healthcare, there is a need to address ethical concerns because of the growing use of high technology and the great complexity of our healthcare systems (8,9,10,11).”
BackgroundHalama, P., & Pitel, L. (2016) · doi:10.21909/sp.2016.02.711 · Cited by 3
“It is considered a complex, or even complicated process, because of many possible diagnoses or therapeutic procedures, as well as the need to involve patients’ preferences or economic aspects (Hunink et al., 2001).”
BackgroundSurvival Analysis of HIV and aids Treatment In Kenya
Owiti, E. (2015) · doi:10.1016/j.jval.2015.03.1355 · Cited by 3
Daichman, S., Greenberg, D., Pikovsky, O., & Pliskin, J. (2013) · The International Conference on Digital Technologies 2013 · doi:10.1109/dt.2013.6566291 · Cited by 3
“We suggest that the Delphi method can be used as a convenient tool for reaching a rapid agreement on utilization of resources of the healthcare system under budgetary constraints.”
MethodSelf-citationDoes Introduction of Thresholds in Decision Aids Benefit the Patient?
Bisig, B., Moreira, J., Combes, M., Asiimwe, A., Bisoffi, Z., Haegeman, F., Bottieau, E., & den Ende, J. V. (2012) · Medical Decision Making · doi:10.1177/0272989x12461854 · Cited by 3
“However, acceptance of clinician regret as a valid consideration in clinical decision making is debated, since decisions should be made from the patient’s perspective, not from the doctor’s.(18) Therefore, we performed pertinent analyses with and without regret; for the latter analyses, we considered disutility equal…”
MethodElkin, E., Weinstein, M., Kuntz, K., Bunnell, C., & Weeks, J. (2005) · Breast Cancer Research and Treatment · doi:10.1007/s10549-005-3380-2 · Cited by 3
“Quality of life In order to estimate quality-adjusted life-years (QALYs) over a series of health states, time spent in each state is multiplied by a utility weight, a measure of the quality of life associated with each health state [44].”
BackgroundSelf-citationPresidential Reflections on the 25th Anniversary of the Society for Medical Decision Making
Elstein, A., Fryback, D., Weinstein, M., Pauker, S., Holmes-Rovner, M., Young, M. J., Barry, M., Eckman, M., Hunink, M. G. M., Tsevat, J., et al. (2004) · Medical decision making · doi:10.1177/0272989x04267676 · Cited by 3
Self-citationParlak, A., & Akkuş, Y. (2025) · Nursing Critical Care · doi:10.1111/nicc.70039 · Cited by 2
“19 17 This situation is due to the fact that the”
Simonetti, A., Colilla, S., Edwards, B., Kübler, J., Lackey, L., Rodriguez, L., Talbot, S., Yang, H., Wang, W., Williams, D., et al. (2024) · Drug Safety · doi:10.1007/s40264-024-01442-4 · Cited by 2
“…developed, such as the Benefit–risk Action Team (BRAT) framework [2], Problems, Objectives, Alternatives, Consequences, Trade-offs, Uncertainty, Risk attitudes, and Linked decisions (PrOACT-URL) [3], the European Medicines Agency (EMA) effects table [4] and the FDA benefit–risk framework [5, 6].”
BackgroundChen, M., Liu, L., Zhang, L., Lin, Y.-Z., Lu, X.-X., Yang, H., & Ni, J.-Q. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09600-7 · Cited by 2
“Each health state was assigned a health utility on a scale of 0 (death) to 1 (perfect health) [28].”
BackgroundAktuelle Entwicklungen zur Digitalisierung
Dick, H., Doth, S., Ernst, C., Fischer, S., & Holderried, M. (2021) · Der Urologe · doi:10.1007/s00120-021-01606-5 · Cited by 2
Topoglu, Y., Sargent, A., Watson, J., Ye, H., Suri, R., & Ayaz, H. (2020) · International Conference on Applied Human Factors and Ergonomics · doi:10.1007/978-3-030-51041-1_24 · Cited by 2
Wanitschek, M., Edlinger, M., Dörler, J., & Alber, H. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-021808 · Cited by 2
Improving treatment decisions from radiographs: effect of a decision aid
Mileman, P. A., & van den Hout, W. B. (2009) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-009-0310-5 · Cited by 2
Lynen, L., Phan, S., Prey, S. P., Sopheak, T., Harwell, J., Boelaert, M., Koole, O., & Colebunders, R. (2007) · doi:10.2174/1874279300701010001 · Cited by 2
Book Review: Decision Making in Health Care: Theory, Psychology and Applications
Delaney, B. (2005) · doi:10.1177/0272989x05281435 · Cited by 2
“We used this and Decision Making in Health and Medicine.1 This is quite a different kind of text, being an edited collection of monographs by experts in fields from health economics to cognition, most of whom will be very familiar to readers of Medical Decision Making, which is not surprising given that Frank Sonnenbe…”
MethodSiebert, U., Sroczynski, G., & Klauss, V. (2003) · doi:10.1007/bf03321551 · Cited by 2
Duvekot, J., van der Ende, J., Verhulst, F. C., & Greaves‐Lord, K. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2323-3 · Cited by 98
Zhu, A. Y., Chen, A. Y., Deluna, A., Bounthavong, M., Zhao, S. X., & Crawford, M. H. (2026) · Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease · doi:10.1161/jaha.125.045334 · Cited by 1
Combining Results of Performance-Based and Informant Test Accuracy Studies: Bayes or Boole?
Larner, A. (2021) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000514063 · Cited by 1
Kapoor, A., Shaffer, N., Hanchate, A., Roberts, M., & Smith, K. J. (2016) · Medical Care · doi:10.1097/mlr.0000000000000506 · Cited by 1
di Tanna, G. D., & Baio, G. (2013) · Epidemiology Biostatistics and Public Health · doi:10.2427/8917 · Cited by 1
“Such an assumption can be “relaxed” by adopting a series of time-dependent conditional probabilities (Markov processes) [17-18].”
BackgroundLatour-Pérez, J., & Anuncibay, P. G. (2012) · Medicina Intensiva · doi:10.1016/j.medin.2011.12.007 · Cited by 7
Serial Testing and Conditional Independence: A Reply to Scoglio et al.
Schwartz, A. W. (2004) · American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2004.30087.x · Cited by 1
Rationing of medical care: Rules of rescue, cost-effectiveness, and the Oregon plan.
Lamb, E. (2004) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2004.02.054 · Cited by 1
Medical Decision-Making Research in Surgery
Pitt, S. C., & Lee, C. (2020) · Health Services Research · doi:10.1007/978-1-4471-4718-3_16 · Cited by 1
Economic Evaluation, Uncertainty in
Fenwick, E. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-375678-7.01419-x · Cited by 1
Cooper, R. (2014) · Medicine Health Care and Philosophy · doi:10.1007/s11019-013-9519-8 · Cited by 4
Quantifying societal burden of radiation-induced small bowel toxicity in patients with rectal cancer
Kimpe, E., Parmentier, R., Busschaert, S., de Mey, J., Barbé, K., de Ridder, M., & Putman, K. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1340081
Study designs and research methodology in the field of otolaryngology
Zamzam, S. M., Abdel-Aziz, M., Atef, A., Abdelnaseer, U., Hamoda, M., Salah, M., Dewidar, H., Elsharkawy, L., Fawzy, M., Shabana, M., et al. (2022) · The Egyptian Journal of Otolaryngology · doi:10.1186/s43163-022-00264-4
Enfermedad por reflujo gastroesofágico
Ortiz, F. G. D., Tixi, C. E. L., Vinueza, V. V. V., & Manzano, E. P. P. (2019) · RECIAMUC · doi:10.26820/reciamuc/3.(2).abril.2019.572-596
A Investigação Clínica e a Decisão Baseada na Evidência
Azevedo, L. (2018) · doi:10.25751/rspa.14791
Pan, X., & Brooks, J. (2010) · doi:10.1016/s1098-3015(10)72101-x
“Based on Hunink’s theoretical construct that treatment choices are those with highest expected values (Hunink 2001), a G-CSF treatment choice model can be developed.”
BackgroundDecision Analytic Techniques and Other Decision Processes
Puri, V., & Meyers, B. (2020) · Difficult Decisions in Surgery: An Evidence-Based Approach · doi:10.1007/978-1-4471-6404-3_3
Madej, R. (2013) · doi:10.25772/bn50-n950
“Medical providers have the responsibility to evaluate and employ those interventions and services that will provide the best outcome for their patients and for the healthcare system 3 (Huninck et al., 2006; Price & Christenson, 2007).”
BackgroundIntroduction to Decision Tools
Giuliani, M., Hope, A., & Fyles, A. (2013) · Medical radiology · doi:10.1007/174_2013_843
Basic Tools in Medical Decision Making
Felder, S., & Mayrhofer, T. (2011) · doi:10.1007/978-3-642-18330-0_2
Metadata
- Authors
- Hunink, M. G. M., Weinstein, M. C., Wittenberg, E., Drummond, M. F., Pliskin, J. S., Wong, J. B., & Glasziou, P. P.
- Affiliations
- Erasmus University Rotterdam (NL)
- Harvard University (US)
- University of York (GB)
- Ben-Gurion University of the Negev (IL)
- Tufts University (US)
- Bond University (AU)
- ORCID
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2014-10-05
- OpenAlex
- W3023658191
- Cited by
- 425
- References
- 0
- Citations by year
- 2026: 17 · 2025: 25 · 2024: 17 · 2023: 23 · 2022: 37 · 2021: 37 · 2020: 35 · 2019: 22 · 2018: 24 · 2017: 18 · 2016: 17 · 2015: 17 · 2014: 20
- FWCI
- 31.10
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- clinical decision-making, clinical decision analysis, decision tree, receiver operating characteristic, cost-effectiveness analysis, Markov model, microsimulation, probabilistic sensitivity analysis, value of information analysis, health policy, risk-benefit trade-off, diagnostic uncertainty, treatment side effects, health economics, health technology assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
