Comprehensive Cancer Centre the Netherlands (IKNL). Cancer rehabilitation - Nation-Wide Guideline. Utrecht: IKNL; 2011.
Balinsky, W, Muennig, P. The costs and outcomes of multifaceted interventions designed to improve the care of congestive heart failure in the inpatient setting: A review of the literature. Med Care Res Rev. 2003;60:275–293.
Chou, R, Loeser, JD, Owens, DK, et al.
Interventional therapies, surgery, and interdisciplinary rehabilitation for low back pain. Spine. 2009;34:1066–1077.
Prvu Bettger, JA, Stineman, MG. Effectiveness of multidisciplinary rehabilitation services in postacute care: State-of-the-science. A review. Arch Phys Med Rehabil. 2007;88:1526–1534.
Smeets, RJ, Severens, JL, Beelen, S, et al.
More is not always better: Cost-effectiveness analysis of combined, single behavioral and single physical rehabilitation programs for chronic low back pain. Eur J Pain. 2009;13:71–81.
IOM (Institute of Medicine). Cognitive rehabilitation therapy for traumatic brain injury: Evaluating the evidence. Washington, DC: The National Academies Press; 2011.
Ollendorf, DA, Silverstein, MD, Andry, A, et al.
Management options for patients with low back disorders: Final appraisal document. Boston: Institute for Clinical and Economic Review; 2011.
Saevarsson, S, Halsband, U, Kristjánsson, Á. Designing rehabilitation programs for neglect: Could 2 be more than 1+1?
Appl Neuropsychol. 2011;18:95–106.
Ollenschlager, G. Improving the quality of health care: Using international collaboration to inform guideline programmes by founding the Guidelines International Network (G-I-N). Qual Saf Health Care. 2004;13:455–460.
Qaseem, A, Forland, F, Macbeth, F, et al.
Guidelines International Network: Toward international standards for clinical practice guidelines. Ann Intern Med. 2012;156:525–531.
Mason, J, Eccles, M, Freemantle, N, et al.
A framework for incorporating cost-effectiveness in evidence-based clinical practice guidelines. Health Policy. 1999;47:37–52.
Rickles, D, Hawe, P, Shiell, A. A simple guide to chaos and complexity. J Epidemiol Commun Health. 2007;61:933–937.
Lovemen, E, Frampton, GK, Shepherd, J, et al.
The clinical effectiveness and cost-effectiveness of long-term weight management schemes for adults: A systematic review. Health Technol Assess. 2011;15:1–182.
Ramsey, SD, Willke, RJ, Glick, H, et al.
Cost-effectiveness analysis alongside clinical trials II-An ISPOR Good Research Practices Task Force report. Value Health. 2015;18:161–172.
Hay, J, Smeeding, J, Carroll, N, et al.
Good research practices for measuring drug costs in cost effectiveness analyses: Issues and recommendations: The ISPOR Drug Cost Task Force Report–Part 1. Value Health. 2010;13:3–7.
Guyatt, G, Oxman, A, Vist, G, et al.
GRADE: What is “quality of evidence” and why is it important to clinicans?
Danish Centre for Evaluation and Health Technology Assessment (DACEHTA). Introduction to mini-HTA - A management and decision support tool for the hospital service. Copenhagen: DACEHTA; 2005.
Cross-over trials in clinical research. Chichester: John Wiley & Sons; 1993.
synergy, Geary N. Understanding. Am J Physiol Endocrinol Metab. 2013;304:E237–E253.
Hollingsworth, B, Peacock, S. Efficiency measurement in health and health care. New York: Routledge; 2008.
Duijts, SFA, Van Beurden M, Oldenburg HSA, et al.
Efficacy of cognitive behavioral therapy and physical exercise in alleviating treatment-induced menopausal symptoms in patients with breast cancer: Results of a randomized, controlled, multicenter trial. J Clin Oncol. 2012;30:4124–4133.
Mewes, J, Steuten, LD, Oldenburg, H SFA, et al.
Cost-effectiveness of cognitive behavioral therapy and physical exercise for alleviating treatment-induced menopausal symptoms in breast cancer patients. J Cancer Surviv. 2014;9:126–135.
Duijts, SFA, Oldenburg, HSA, van Beurden, M, et al.
Cognitive behavioral therapy and physical exercise for climacteric symptoms in breast cancer patients experiencing treatment-induced menopause: Design of a multicenter trial. BMC Womens Health. 2009;9:15.
Ivarsson, T, Spetz, AC, Hammar, M. Physical exercise and vasomotor symptoms in postmenopausal women. Maturitas. 1998;29:139–146.
Li, C, Samsioe, G, Borgfeldt, C, et al.
Menopause-related symptoms: What are the background factors? A prospective population-based cohort study of Swedish women (The Women's Health in Lund Area study). Am J Obstet Gynecol. 2003;189:1646–1653.
Hunter, M. Cognitive behavioural interventions for premenstrual and menopausal symptoms. J Reprod Infant Psychol. 2003;21:183–193.
McKinlay, SM, Brambilla, DJ, Posner, JG. Reprint of the normal menopausal transition. Maturitas. 2008;61:4–16.
Duijts, SFA, Faber, MM, Oldenburg, HSA, et al.
Effectiveness of behavioral techniques and physical exercise on psychosocial functioning and health-related quality of life in breast cancer patients and survivors-a meta-analysis. Psycho-Oncology. 2011;20:115–126.
Eccles, M, Mason, J. How to develop cost-conscious guidelines. Health Technol Assess. 2001;5:1–78.
Gandjour, A, Lauterbach, KW. A method for assessing the cost-effectiveness and the break-even point of clinical practice guidelines. Int J Technol Assess Health Care. 2001;17:503–516.
OECD. Cost-benefit analysis and the environment: Recent developments. Paris: OECD; 2006.
Economic cost-benefit analysis (CBA) of project environmental issues and mitigation measures: Implementation guideline. Washington, DC: Inter-American Development Bank; 2012.
Heinzerling, L, Ackerman, F. Pricing the priceless: Cost-benefit analysis of environmental protection. Washington, DC: Georgetown University; 2002.
Liu, W, Kuramoto, SJ, Stuart, EA. An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research. Prev Sci. 2013;14:570–580.
Basu, A, Dale, W, Elstein, A, et al.
A linear index for predicting joint health-states utilities from single health-states utilities. Health Econ. 2009;18:403–419.
Barasa, EW, Ayieko, P, Cleary, S, et al.
A multifaceted intervention to improve the quality of care of children in district hospitals in Kenya: A cost-effectiveness analysis. PLoS Med. 2012;9:e1001238.
Lee, CC, Czaja, SJ, Schulz, R. The moderating influence of demographic characteristics, social support, and religious coping on the effectiveness of a multicomponent psychosocial caregiver intervention in three racial ethnic groups. J Gerontol B Psychol Sci Soc Sci. 2010;65B:185–194.
Helgeson, VS, Lepore, SJ, Eton, DT. Moderators of the benefits of psychoeducational interventions for men with prostate cancer. Health Psychol. 2006;25:348–354.
Schootman, M, Deshpande, AD, Pruitt, S, et al.
Estimated effects of potential interventions to prevent decreases in self-rated health among breast cancer survivors. Ann Epidemiol. 2012;22:79–86.
Barasa, EW, English, M. Viewpoint: Economic evaluation of package of care interventions employing clinical guidelines. Trop Med Int Health. 2011;16:97–104.
Ahern, J, Hubbard, A, Galea, S. Estimating the effects of potential public health interventions on population disease burden: A step-by-step illustration of causal inference methods. Am J Epidemiol. 2009;169:1140–1147.
Hardeman, W. A causal modelling approach to the development of theory-based behaviour change programmes for trial evaluation. Health Educ Res. 2005;20:676-87.
Gandjour, A. A model to predict the cost-effectiveness of disease management programs. Health Econ. 2009;19:697–715.
Brooks, JM, Fang, G. Interpreting treatment-effect estimates with heterogeneity and choice: Simulation model results. Clin Ther. 2009;31:902–919.
Hersh, AL, Black, WC, Tosteson, ANA. Estimating the population impact of an intervention: A decision-analytic approach. Stat Methods Med Res. 1999;8:311–330.
Becker, MG, Glass, K, Barnes, B, et al.
Using mathematical models to assess response to an outbreak of an emerged viral repiratory disease. The Australian National University: National Centre for Epidemiology and Population Health; 2006.
Tappenden, P, Chilcott, J, Brennan, A, et al.
Whole disease modeling to inform resource allocation decisions in cancer: A methodological framework. Value Health. 2012;15:1127–1136.
Belle, SH, Czaja, SJ, Schulz, R, et al.
Using a new taxonomy to combine the uncombinable: Integrating results across diverse interventions. Psychol Aging. 2003;18:396–405.
Schulz, R, Czaja, SJ, McKay, JR, et al.
Intervention taxanomy (ITAX): Describing essential features of interventions (HMC). Am J Health Behav. 2010;34:811–821.
Gitlin, LN, Belle, SH, Burgio, LD, et al.
Effect of multicomponent interventions on caregiver burden and depression: The REACH multisite initiative at 6-month follow-up. Psychol Aging. 2003;18:361–374.
Schouten, LMT, Grol, RPTM, Hulscher, MEJL. Factors influencing success in quality-improvement collaboratives: Development and psychometric testing of an instrument. Implement Sci. 2010;5:84.
Czaja, SJ, Schulz, R, Lee, CC, et al.
A methodology for describing and decomposing complex psychosocial and behavioral interventions. Psychol Aging. 2003;18:385–395.
Cobiac, LJ, Vos, T, Barendregt, JJ. Cost-effectiveness of interventions to promote physical activity: A modelling study. PLoS Med. 2009;6:e1000110.
Gentry, D, Herbers, S, Shelton, S, et al.
What is it worth? Economic evaluation of the MFH Tobacco Initiative. St. Louis: Missouri Foundation for Health; 2009.
Hoaglin, DC, Hawkins, N, Jansen, JP, et al.
Conducting indirect-treatment-comparison and network-meta-analysis studies: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: Part 2. Value Health. 2011;14:429–437.
Jansen, JP, Fleurence, R, Devine, B, et al.
Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: Report of the ISPOR Task Force on indirect treatment comparisons good research practices: part 1. Value Health. 2011;14:417–428.
IJzerman, MJ, Steuten, LMG. Early assessment of medical technologies to inform product development and market access: A review of methods and applications. Appl Health Econ Health Policy. 2011;9:331–347.
Cosh, E, Girling, A, Lilford, R, et al.
Investing in new medical technologies: A decision framework. J Commer Biotechnol. 2007;13:263–271.
McAteer, H, Cosh, E, Freeman, G, et al.
Cost-effectiveness analysis at the development phase of a potential health technology: Examples based on tissue engineering of bladder and urethra. J Tissue Eng Regen Med. 2007;1:343–349.
Girling, A, Lilford, R, Cole, A, Young, T. Headroom approach to device development: Current and future directions. Int J Technol Assess Health Care. 2015;31:331–338.
Moore, GF, Audrey, S, Barker, M
Process evaluation of complex interventions: Medical Research Council Guideline. BMJ. 2016;350:h1258.
Bonell, C, Fletcher, A, Morton, M, et al.
Realist randomised controlled trials: A new approach to evaluating complex public health interventions. Soc Sci Med. 2012;75:2299–2306.
Moore, G, Audrey, S, Barker, M, et al.
Process evaluation of complex interventions: Medical Research Council guidance. London: MRC Population Health Science Research Network; 2014.
Moore, G, Audrey, S, Barker, M, et al.
Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258.
Chandler, CIR, DiLiberto, D, Nayiga, S, et al.
The PROCESS study: A protocol to evaluate the implementation, mechanisms of effect and context of an intervention to enhance public health centres in Tororo, Uganda. Implement Sci. 2013;8:113.