Optimal timing of joint replacement using mathematical programming and stochastic programming models.
The optimal timing for performing radical medical procedures as joint (e.g., hip) replacement must be seriously considered. In this paper we show that under deterministic assumptions the optimal timing for joint replacement is a solution of a mathematical programming problem, and under stochastic as...
| Publicado en: | Health Care Management Science Vol. 14; no. 4; pp. 361 - 370 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104603466&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104603466 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13869620 BSE jtl: Health Care Management Science issn: 13869620 maglogo: N pubinfo: dt: Dec2011 vid: 14 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104603466 NLM21748424 2011378841 10.1007/s10729-011-9172-9 NLM21748424 104603466 ppf: 361 ppct: 9 formats: tig: atl: Optimal timing of joint replacement using mathematical programming and stochastic programming models. aug: au: Keren B Pliskin JS Keren, Baruch Pliskin, Joseph S affil: Department of Industrial Engineering and Management, SCE-Shamoon College of Engineering, Bialik/Basel Sts., Beer Sheva 84100, Israel sug: subj: Arthroplasty, Replacement Decision Support Techniques Decision Trees Patient Selection Aged Aged, 80 and Over Middle Age Quality-Adjusted Life Years Reoperation Statistics Time Factors Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years ab: The optimal timing for performing radical medical procedures as joint (e.g., hip) replacement must be seriously considered. In this paper we show that under deterministic assumptions the optimal timing for joint replacement is a solution of a mathematical programming problem, and under stochastic assumptions the optimal timing can be formulated as a stochastic programming problem. We formulate deterministic and stochastic models that can serve as decision support tools. The results show that the benefit from joint replacement surgery is heavily dependent on timing. Moreover, for a special case where the patient's remaining life is normally distributed along with a normally distributed survival of the new joint, the expected benefit function from surgery is completely solved. This enables practitioners to draw the expected benefit graph, to find the optimal timing, to evaluate the benefit for each patient, to set priorities among patients and to decide if joint replacement should be performed and when. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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