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1 us surgery (bypass, sleeve or band, based on patient preference).
2 ge part of the move to adopt TM is driven by patient preference.
3 ncer diagnosis and hysterectomy according to patient preference.
4 ly influenced by the risk of bleeding and by patient preference.
5 corporate etiology, risk, benefit, cost, and patient preference.
6 performance status, comorbid conditions, and patient preference.
7 l intolerance, bone marrow suppression), and patient preference.
8 ed source case (if known), safety, cost, and patient preference.
9 f recurrence and bleeding risk, coupled with patient preference.
10 f comorbidity, toxicity, and limited data on patient preference.
11 ing surgeon recommendation and 8.8% based on patient preference.
12 te other risk factors, and are invariable to patient preference.
13                    The primary end point was patient preference.
14  the procedure should be based on surgeon or patient preference.
15 ed and a questionnaire was used to determine patient preference.
16 ch as efficacy and adverse event profiles to patient preference.
17 and fluctuations of serum glucose levels, or patient preference.
18 as patient symptoms, exercise tolerance, and patient preference.
19 ent generally based on space availability or patient preference.
20 ession or removal from study for toxicity or patient preference.
21 19 received dual-chamber pacemakers based on patient preference.
22 ce between these treatments should depend on patient preference.
23 er clinical and angiographic suitability and patient preference.
24 ommend therapy based on cancer prognosis and patient preference.
25  sites, and pace of disease progression, and patient preference.
26 atient presentation, surgeon preference, and patient preference.
27 adverse effects, drug-drug interactions, and patient preferences.
28 d further research in understanding risk and patient preferences.
29 th high variation should prompt attention to patient preferences.
30 geneic HCT is unknown and depends heavily on patient preferences.
31 y due to specific individual risk factors or patient preferences.
32 nt's general health and life expectancy, and patient preferences.
33 ons should be individualized and informed by patient preferences.
34 on patient characteristics and physician and patient preferences.
35 est, availability of the screening test, and patient preferences.
36 rgery should be driven primarily by informed patient preferences.
37  quality of life and detailed exploration of patient preferences.
38 nal speech and little (12%) spent discussing patient preferences.
39 nce status, severity of comorbid illness, or patient preferences.
40 ations, presenting syndromes, physician, and patient preferences.
41  considering cancer outcomes, morbidity, and patient preferences.
42 ure guidelines should incorporate individual patient preferences.
43  diabetes, comorbidity, life expectancy, and patient preferences.
44 ts (n = 19) to describe their perceptions of patient preferences.
45 sideration of potential benefits, risks, and patient preferences.
46 nostic features on individual prognosis, and patient preferences.
47 on tumor subtype, anatomic cancer stage, and patient preferences.
48 to optimally match management decisions with patient preferences.
49 l care costs in a manner that is dictated by patient preferences.
50 decision-making but not an overall change in patient preferences.
51 ependent on the accuracy of each test and to patient preferences.
52 e of liver dysfunction, life expectancy, and patient preferences.
53 , harms, costs, availability, frequency, and patient preferences.
54 ent decisions should be made in keeping with patient preferences.
55 cal distress, and treatments misaligned with patient preferences.
56 ing ICU resource use with clinical needs and patient preferences.
57 hat was more aggressive than their report of patient preferences.
58  about potential harms, benefits, costs, and patient preferences.
59 xplicitly incorporates burden of disease and patient preferences.
60 rror, regardless of the burden of disease or patient preferences.
61 ed risk for subsequent in-breast events, and patient preferences.
62 changes in treatment guidelines and provider/patient preferences.
63 o consider disease stage, comorbidities, and patient preferences.
64  SLIT products of proved value and personal (patient) preference.
65 tting based on cancer specific mortality and patients' preference.
66  meetings which did not actively incorporate patients' preferences.
67  magnitude of increases in cardiac risk, and patients' preferences.
68 mes of treatment and their likelihood affect patients' preferences.
69  their medical judgment conflicts with dying patients' preferences.
70 d clinicians in matching treatments to their patients' preferences.
71          Decisions are often discordant with patients' preferences.
72 enrollment appears generally consistent with patients' preferences.
73  yet attempting upgrade in the substudy were patient preference (31.9%), New York Heart Association C
74  This may lead to "confounding by unmeasured patient preferences" (a type of confounding by indicatio
75                                              Patient preferences about disclosure when physicians dis
76                                           If patient preferences about the trade-offs between the ris
77 ing the likelihood of benefits and harms and patient preferences about treatment and treatment burden
78 ed to reach the target, life expectancy, and patient preferences about treatment.
79 nalysis identified clinical characteristics, patient preferences, access issues, clinical and adminis
80 eing given according to physician choice and patient preference after the 1 year trial final assessme
81 utility analysis, which incorporates data on patient preferences, along with survival and cost data,
82 he heterogeneity in etiologies, outcomes, or patient preferences among the elderly.
83 alysis modality selection should be based on patient preference and medical indications.
84                               Comparison for patient preference and pain indices gave statistically s
85                  Limited concordance between patient preference and patient perception and between pa
86                                              Patient preference and perception of pain, change in Dum
87              The optimal approach depends on patient preference and specific patient clinical feature
88 performance status (ECOG PS) 0 to 1 based on patient preference and support system available.
89 elected in any given patient is dependent up patient preference and the availability and experience o
90 k factors of recurrent VTE and bleeding, and patient preference and values regarding long-term antico
91    For patients at moderate risk for stroke, patient preferences and access to reliable anticoagulati
92 stic impact of repeat revascularization, and patient preferences and appraisal of the import of repea
93 se to formulate treatment plans that reflect patient preferences and are more likely to fit into the
94 ch patient and that takes into consideration patient preferences and control of hyperglycemia and dys
95 he benefits and harms of health care, and to patient preferences and personal values (67 articles); (
96  better understand the contributions of both patient preferences and physician judgment to these trea
97  used to attenuate confounding by unmeasured patient preferences and provide novel opportunities to i
98 t in mental health decision making including patient preferences and provider-level biases.
99               SDM stresses the importance of patient preferences and rigorous discussion of therapeut
100            In addition, we discuss issues of patient preferences and the future directions of MR imag
101 he technique for appendectomy will depend on patient preferences and the presence of local expertise.
102 atment decisions should be more sensitive to patient preferences and tolerance of therapy.
103 ersonalized to consider severity of disease, patient preferences and values, as well as risks and ben
104 outcomes, physicians should routinely elicit patients' preferences and allow them to participate in d
105 es remained significant after adjustment for patients' preferences and expectations about transplanta
106                                              Patients' preferences and expectations of chronic diseas
107 his strategy involves a formal discussion of patients' preferences and expectations, the maintenance
108 ructured, standardized approach to exploring patients' preferences and to integrating those preferenc
109 hough the clinical decision was sensitive to patients' preferences and to the estimate of warfarin's
110                 This study aimed to quantify patients' preferences and trade-offs for important outco
111 en geographic areas is due to differences in patients' preferences and values or to surgeons' propens
112 ans talk with surrogates about incapacitated patients' preferences and values.
113  as socioeconomic factors, health insurance, patient preference, and clinical practice patterns warra
114 cluding younger age, prostate cancer volume, patient preference, and ethnicity should be taken into a
115 ive health status, diversion choice based on patient preference, and postoperative clinical outcomes.
116                            Ocular hyperemia, patient preference, and self-projected adherence were as
117 oglobin level, the overall clinical context, patient preferences, and alternative therapies when maki
118      All factors, including adverse effects, patient preferences, and cost, should be considered in s
119 t symptoms, symptom severity, control of AR, patient preferences, and cost.
120 y disease complexity, patient comorbidities, patient preferences, and local expertise.
121 a from records, including clinical findings, patient preferences, and medical and family history.
122  quality of life, predicted life expectancy, patient preferences, and other patient factors be consid
123  care facility, postacute care availability, patient preferences, and socioeconomic factors may accou
124 mendations informed by clinical judgment and patient preferences; and checking for understanding and
125 lve disease, annular size, and physician and patient preference are also relevant.
126                                     Finally, patient preferences are a vital component of informed de
127 sues of safety, pain control and respect for patient preferences are important goals as well.
128 well as the benefit of initiating treatment, patient preferences are important in deciding on managem
129 cations for surgery, and the extent to which patient preferences are incorporated into treatment deci
130  these strategies that evaluate outcomes and patient preferences are needed to optimize management de
131                          This study analyzes patients' preferences around disclosure in cases of IMED
132 roach of interpretive description to analyze patients' preferences around disclosure in cases of inte
133                                              Patient preferences, as well as evidence, are important
134 body of literature on utility analysis using patient preference-based outcomes for ophthalmic disease
135 asures in patients without LWs may result in patients' preferences being superseded at end of life.
136 esearch is necessary to reliably account for patient preferences between the 2 operations.
137 actice and have demonstrated feasibility and patient preference but have produced mixed results regar
138 ions with physicians led to increased use of patient preferences, but sophisticated educational techn
139               After the consultation, 43% of patients' preferences changed, and most shifted toward p
140                  Barriers such as adherence, patient preferences, clinician preferences, and resource
141 h systematic features of the methodology and patient preference/collaboration with treatment.
142 ant endocrine strategy accordingly, based on patient preferences, comorbidities, and tolerability mig
143 these available therapies should be based on patient preferences, compliance, and ease of administrat
144 d base the choice of specific monotherapy on patient preference, cost, and adverse effect profile.
145 g, there are barriers to training, including patient preferences, costs of procedures and products, a
146 ls, cohort studies, administrative data, and patient preference data.
147 our common clinical goals: increasing use of patient preferences, decreasing pain and suffering, redu
148 ents of drug risks do not routinely consider patient preferences, despite evidence that some patients
149 ee of language gap, available resources, and patient preference), discuss who may be an appropriate i
150  should be made for each individual based on patient preference, disease markers, consequences of rel
151  concerns over side effects and drug safety, patient preference, drug availability, and cost.
152    This practice may limit the expression of patient preferences during decision making for high-risk
153 s guidance, we aimed to provide quantitative patient preference evidence on benefit-risk tradeoffs re
154 erapy and CMT, emphasizing the importance of patient preference exploration and shared decision makin
155 pholipid antibody, low risk of bleeding, and patient preference favor indefinite anticoagulation.
156                       The primary end point, patient preference for a specific treatment, was assesse
157 bilise health-care costs, and to accommodate patient preference for care close to home.
158                                   However, a patient preference for consistently early bets indicated
159                                              Patient preference for decision making did not impact ti
160                                              Patient preference for oral therapy is identified as a s
161 This double-blind cross-over study evaluated patient preference for pazopanib or sunitinib and the in
162  cross-over trial demonstrated a significant patient preference for pazopanib over sunitinib, with HR
163 d method of contacting patients aligned with patient preference for speaking by telephone (56.5%).
164  After adjusting for severity of illness and patient preferences for care, patient sociodemographic f
165 ding patient safety, as well as demonstrated patient preferences for certified physicians, will likel
166                                              Patient preferences for closure type were assessed 3 to
167 ncies in the current state of communication, patient preferences for communication about palliative c
168 s, decision making, and quality of life; and patient preferences for communication with physicians ab
169 influence on outcome, treatment response, or patient preferences for diagnostic efforts.
170 benefits of radiation therapy and individual patient preferences for different health states should b
171         Physicians are frequently unaware of patient preferences for end-of-life care.
172 assessed interest in genomic RFR testing and patient preferences for incorporating results into treat
173   Physician perceptions were concordant with patient preferences for information in 44% of patient-ph
174 e only about 65% of the time when predicting patient preferences for intensive care.
175                          This study explored patient preferences for involvement in the breast cancer
176              The importance of understanding patient preferences for life-sustaining treatment is wel
177 clearly defined advance directives regarding patient preferences for medical care (adjusted odds rati
178 iding an additional treatment alternative on patient preferences for nonselective nonsteroidal antiin
179                                              Patient preferences for osteoporosis treatment options a
180 ase, so choice of treatment should depend on patient preferences for other outcomes.
181 orporate contributing factors to anxiety and patient preferences for psychiatric care.
182 atment decisions and how physicians perceive patient preferences for such involvement are uncertain.
183       This study was designed to analyze how patient preferences for survival versus quality-of-life
184 The optimal ASCVD threshold was sensitive to patient preferences for taking a pill daily, changes to
185  the sensitivity of computed tomography, and patient preferences for time spent in watchful waiting.
186 vement in health-related quality of life and patient preferences for tofacitinib.
187                            The assessment of patient preferences for treatment outcomes is an underex
188                                          The patients' preference for cardiopulmonary resuscitation w
189                                   Given many patients' preference for psychotherapy over pharmacother
190 uenced both oncologists' recommendations and patients' preferences for chemotherapy.
191 gher survival estimates were associated with patients' preferences for CPR, fewer documented treatmen
192               Factor analysis indicated that patients' preferences for how they would like to be told
193 aracteristics, prognoses, baseline function, patients' preferences for life-extending care, and physi
194 nding care, and physicians' understanding of patients' preferences for life-extending care.
195              Physicians underestimated older patients' preferences for life-extending care; adjustmen
196 nce care planning, physicians should discuss patients' preferences for location of death.
197 d life-sustaining treatments, independent of patients' preferences for or ability to benefit from suc
198 s is limited by a lack of data on individual patients' preferences for PoD or a clinical indication o
199 s or doing so if it is consistent with their patients' preferences for prognostic information.
200                        Little is known about patients' preferences for site of terminal care.
201                                              Patients' preferences for treatment were measured, and p
202                                              Patients' preferences for various outcomes of anticoagul
203                                    For older patients, preference for life-extending treatment was as
204 h risk for fracture based on a discussion of patient preferences, fracture risk profile, and benefits
205 a risk-stratified manner - taking account of patient preference - from the outset or in sequence
206              The optimal approach depends on patient preference, geography, and clinical factors.
207 n, participation, and in-depth discussion of patient preferences given the preference-sensitive natur
208 nicians; clinical decision-making focused on patients' preferences, goals, and values; patient care m
209                                              Patient preference has shifted from face-to-face visit t
210 ical advances in the past decade, along with patient preference, have shifted revascularization strat
211 therapy, but the relative contributions from patient preference, health team, and systems-based reaso
212 ange, 0 [best] to 88 [worst]), discussion of patient preferences, hospital length of stay, and 90-day
213 gical treatment decisions should be based on patient preference if a patient is eligible for all 3.
214 characteristics, drug-drug interactions, and patient preference in decision making.
215                                Incorporating patient preferences in an acute context, such as trauma
216 consideration of adverse effect profiles and patient preferences in deciding whether and when to inco
217 sed direct patient engagement to account for patient preferences in the final model.
218 ive, highlighting the importance of engaging patient preferences in this decision.
219 e goal of shared decision making is to match patient preferences, including evaluation of potential f
220  demonstrated the feasibility of integrating patient preference information into clinical care, altho
221 Health issued Guidance in 2016 on generating patient preference information to aid evaluation of medi
222 e between groups regarding the discussion of patient preferences (intervention, 75%; control, 83%; od
223 fy and treat modifiable factors, incorporate patient preference into evaluation and treatment, initia
224  strategies are needed to integrate informed patient preferences into clinical care, particularly for
225 phasizing the need to incorporate individual patient preferences into treatment decisions for osteopo
226 ble practice are wide, and information about patient preference is lacking.
227 costs, stronger consideration of the role of patient preferences is necessary when framing discussion
228 he bimodal distribution and the stability of patient preference limit utility as a trial end point, b
229  site for cardiac catheterization because of patient preference, lower bleeding rates, cost effective
230 of pterygium, age of patient, and surgeon or patient preference may influence the surgeon's choice of
231                    Rheumatoid arthritis (RA) patient preferences may account for some of the variabil
232                                     However, patient preferences may explain some of the variability
233 for localized prostate cancer, clinician and patient preferences may lead to substantial variation in
234                                              Patient preferences may not always match specific qualit
235                               Elicitation of patients' preferences may be useful to determine the lev
236 pitalization and provide care congruent with patient preferences might target individuals at higher r
237  body habitus, local renal anatomy, cost and patient preference, must be taken into consideration whe
238 se patients did not receive an LVAD owing to patient preference (n = 14) or unavailability of the dev
239 temic chemotherapy (n = 4), and observation (patient preference; n = 1).
240         Challenges to trial accrual included patient preference of noninvestigational treatment or lo
241 were to determine the cost-effectiveness and patient preferences of a strategy employing abdominal co
242 ry of cancers whose diagnosis is delayed and patient preferences of the value on avoiding any form of
243 igation is needed to determine the impact of patient preferences on clinical decision-making and outc
244                                        Given patient preference or baseline comorbidities, multimodal
245 -eligible patients was largely the result of patient preference or clinical/social factors.
246 ent that depends on data that do not reflect patient preference or contraindications in conditions wh
247 algesia, and/or anti-inflammatory drugs, per patient preference or physician recommendation) for 4 we
248  screening rates, and (3) not accounting for patient preferences or clinician judgment when scoring p
249 x differences in treatment decisions reflect patient preferences or treatment biases requires further
250 ; range, 0-16%) of words spoken pertained to patient preferences or values.
251  neither clinicians nor surrogates discussed patients' preferences or values about end-of-life decisi
252 imitations in the research evidence, unclear patient preferences, or an inability to predict how trea
253 ent eligibility, clinical contraindications, patient preferences, or confounding by other clinical fa
254 tion of type of hormonal therapy is based on patient preference, other indications for and contraindi
255 rovement was consistent with the significant patient preference (P < 0.05) for the ON vs. OFF period
256 desirable prevention strategy for reasons of patient preference, particularly among older patients fr
257 rtaining germline alterations, and assessing patient preferences/perspectives on data use/reporting.
258 uced left ventricular ejection fraction, and patient preference plays a role in determining which to
259 meeting may support decisions in relation to patient preferences, prognosis, and proportionality.
260 e surgical techniques, economic factors, and patient preferences provided addition impetus to the pop
261                           The goals of care, patient preferences, psychological status, support syste
262 erentiate whether these associations reflect patients' preferences, quality of physician training, su
263 incipally dependent on clinical expertise or patient preference rather than high-quality clinical tri
264 fits and risks of anticoagulation along with patient preference rather than on an algorithmic pathway
265 follow-up data are still needed; in the end, patient preference regarding the relative risks and bene
266 proving understanding about how to integrate patient preferences regarding cost discussions into clin
267                                              Patient preferences regarding which provider handles the
268         The goal of this study was to assess patients' preferences regarding the way in which physici
269  cancer care; however, little is known about patients' preferences regarding which providers handle t
270                                     Of 7,391 patients, preferences regarding place of death were dete
271  one treatment over the other will depend on patient preference, resource limitations, cost, and indi
272 ion by providing a framework for integrating patient preferences, scientific knowledge, clinical judg
273  acute exacerbations but also individualized patient preference-sensitive short-term and long-term pr
274                                              Patient preferences should be considered because the abs
275                   Until those are available, patient preferences should inform individual decisions r
276                      At the societal levels, patients' preferences should help guide decisions includ
277 -making, and that flexibility for individual patients' preferences should not be superseded by rigid
278 -cell carcinoma dependent on factors such as patient preference, size and site of the lesion, and whe
279                                              Patient preference strongly favored the aprepitant cycle
280 This raised estimate, if confirmed in formal patient-preference studies, indicates a need to reassess
281 icit, record, and harmonize documentation of patient preferences that can be used to attenuate confou
282 e than four-fifths (81%) reported discussing patient preferences to limit postoperative life-supporti
283 impact of a proposed policy giving pediatric patients preference to pediatric donors.
284 bers were lower than planned because of many patients' preference to take memantine or cholinesterase
285                                              Patients' preferences toward their actual mechanical ven
286      Medical ethics and law, in keeping with patients' preferences, traditionally have provided stron
287  each meeting was to address medical update, patient preferences, treatment plan, and milestones for
288                               Goals of care, patient preferences, treatment response, psychological s
289 ine or deferred quinacrine in an open-label, patient-preference trial.
290       Key among such standards is the use of patient preferences (utilities), as patients best unders
291                                              Patient preference was assessed by questionnaire.
292                   We judged it unlikely that patient preferences were driving the decision to obtain
293  Safety outcomes, clopidogrel adherence, and patient preferences were secondary outcomes.
294  settings, review how they would incorporate patient preferences when making treatment decisions, and
295 ine or interpersonal psychotherapy (based on patient preference), while controls underwent no treatme
296                   Prospective information on patient preferences will facilitate future trials evalua
297 gh the benefit of geographic convenience and patient preference with center outcomes.
298 logical rationale, caregiver experience, and patient preferences with valid and current clinical rese
299 ly assessed the association between race and patients' preferences with respect to transplantation.
300  were assigned to receive versus not receive patient preferences, with subsequent assessment of treat

 
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