How best to obtain consent to thrombolysis: Individualized decision-making

Surgeon's steering behaviour towards patients to participate in a cluster randomised trial on active surveillance for oesophageal cancer: A qualitative study

INTRODUCTION

Few studies have been conducted into how physicians use steering behaviour that may persuade patients to choose for a particular treatment, let alone to participate in a randomised trial. The aim of this study is to assess if and how surgeons use steering behaviour in their information provision to patients in their choice to participate in a stepped-wedge cluster randomised trial investigating an organ sparing treatment in (curable) oesophageal cancer (SANO trial).

MATERIALS AND METHODS

A qualitative study was performed. Thematic content analysis was applied to audiotaped and transcribed consultations of twenty patients with eight different oncological surgeons in three Dutch hospitals. Patients could choose to participate in a clinical trial in which an experimental treatment of 'active surveillance' (AS) was offered. Patients who did not want to participate underwent standard treatment: neoadjuvant chemoradiotherapy followed by oesophagectomy.

RESULTS

Surgeons used various techniques to steer patients towards one of the two options, mostly towards AS. The presentation of pros and cons of treatment options was imbalanced: positive framing of AS was used to steer patients towards the choice for AS, and negative framing of AS to make the choice for surgery more attractive. Further, steering language, i.e. suggestive language, was used, and surgeons seemed to use the timing of the introduction of the different treatment options, to put more focus on one of the treatment options.

CONCLUSION

Awareness of steering behaviour can help to guide physicians in more objectively informing patients on participation in future clinical trials.

Thrombolytic Refusal Over Telestroke

Background

Tissue plasminogen activator (tPA) refusal is 4%-6% for acute ischemic stroke (AIS) in the emergency department. Telestroke (TS) has increased the use of tPA for AIS but is accompanied by barriers in communication that can affect tPA consent. We characterized the incidence of tPA refusal in our TS network and its associated reasons.

Methods

Patients with AIS who were offered tPA within 4.5 hours from symptom onset according to American Heart Association guidelines were identified within our Lone Star Stroke Consortium Telestroke Registry from September 2015 to December 2018. We compared baseline characteristics and clinical outcomes between patients who refused tPA and patients who accepted tPA.

Results

Among the 1,242 patients who qualified for tPA and were offered treatment, 8% refused tPA. Female and non-Hispanic Black patients and patients with a prior history of stroke were more likely to decline tPA. Patients who refused tPA presented with a lower NIHSS and were associated with a final diagnosis of stroke mimic (odds ratio [OR] 0.23; 95% confidence interval [CI] 0.15-0.36). Good outcome (90-day modified Rankin Scale 0-2) was the same among patients who received tPA and those who refused (OR 0.80; 95% CI 0.42-1.54). The most common reasons for refusal were rapidly improving and mild/nondisabling symptoms and concern for potential side effects.

Conclusion

tPA refusal over TS is comparable to previously reported rates; there was no difference in outcomes among patients who received tPA compared with those who refused. Sex and racial differences associated with an increased tPA refusal warrant further investigation in efforts to achieve equity/parity in tPA decisions.

Factors delaying intravenous thrombolytic therapy in acute ischaemic stroke: a systematic review of the literature

BACKGROUND/AIMS

This review examined factors that delay thrombolysis and what management strategies are currently employed to minimise this delay, with the aim of suggesting future directions to overcome bottlenecks in treatment delivery.

METHODS

A systematic review was performed according to PRISMA guidelines. The search strategy included a combination of synonyms and controlled vocabularies from Medical Subject Headings (MeSH) and EmTree covering brain ischemia, cerebrovascular accident, fibrinolytic therapy and Alteplase. The search was conducted using Medline (OVID), Embase (OVID), PubMed and Cochrane Library databases using truncations and Boolean operators. The literature search excluded review articles, trial protocols, opinion pieces and case reports. Inclusion criteria were: (1) The article directly related to thrombolysis in ischaemic stroke, and (2) The article examined at least one factor contributing to delay in thrombolytic therapy.

RESULTS

One hundred and fifty-two studies were included. Pre-hospital factors resulted in the greatest delay to thrombolysis administration. In-hospital factors relating to assessment, imaging and thrombolysis administration also contributed. Long onset-to-needle times were more common in those with atypical, or less severe, symptoms, the elderly, patients from lower socioeconomic backgrounds, and those living alone. Various strategies currently exist to reduce delays. Processes which have achieved the greatest improvements in time to thrombolysis are those which integrate out-of-hospital and in-hospital processes, such as the Helsinki model.

CONCLUSION

Further integrated processes are required to maximise patient benefit from thrombolysis. Expansion of community education to incorporate less common symptoms and provision of alert pagers for patients may provide further reduction in thrombolysis times.

Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review

BACKGROUND

Latent class analysis (LCA) has been increasingly used to explore preference heterogeneity, but the literature has not been systematically explored and hence best practices are not understood.

OBJECTIVE

We sought to document all applications of LCA in the stated-preference literature in health and to inform future studies by identifying current norms in published applications.

METHODS

We conducted a systematic review of the MEDLINE, EMBASE, EconLit, Web of Science, and PsycINFO databases. We included stated-preference studies that used LCA to explore preference heterogeneity in healthcare or public health. Two co-authors independently evaluated titles, abstracts, and full-text articles. Abstracted key outcomes included segmentation methods, preference elicitation methods, number of attributes and levels, sample size, model selection criteria, number of classes reported, and hypotheses tests. Study data quality and validity were assessed with the Purpose, Respondents, Explanation, Findings, and Significance (PREFS) quality checklist.

RESULTS

We identified 2560 titles, 99 of which met the inclusion criteria for the review. Two-thirds of the studies focused on the preferences of patients and the general population. In total, 80% of the studies used discrete choice experiments. Studies used between three and 20 attributes, most commonly four to six. Sample size in LCAs ranged from 47 to 2068, with one-third between 100 and 300. Over 90% of the studies used latent class logit models for segmentation. Bayesian information criterion (BIC), Akaike information criterion (AIC), and log-likelihood (LL) were commonly used for model selection, and class size and interpretability were also considered in some studies. About 80% of studies reported two to three classes. The number of classes reported was not correlated with any study characteristics or study population characteristics (p > 0.05). Only 30% of the studies reported using statistical tests to detect significant variations in preferences between classes. Less than half of the studies reported that individual characteristics were included in the segmentation models, and 30% reported that post-estimation analyses were conducted to examine class characteristics. While a higher percentage of studies discussed clinical implications of the segmentation results, an increasing number of studies proposed policy recommendations based on segmentation results since 2010.

CONCLUSIONS

LCA is increasingly used to study preference heterogeneity in health and support decision-making. However, there is little consensus on best practices as its application in health is relatively new. With an increasing demand to study preference heterogeneity, guidance is needed to improve the quality of applications of segmentation methods in health to support policy development and clinical practice.

Racial disparities in refusal of stroke thrombolysis in Chicago

OBJECTIVE

To evaluate race differences in tissue plasminogen activator (tPA) refusal among eligible patients with acute ischemic stroke (AIS) in Chicago.

METHODS

Using the Get With The Guidelines-Stroke registry data from 15 primary stroke centers between January 2013 and June 2015, we performed a retrospective analysis of patients with AIS presenting to the emergency department within 4.5 hours from symptom onset. Patient or proxy refusal was captured as a reason for nonadministration of tPA to eligible patients in the registry. We assessed whether tPA refusal differed by race using logistic regression.

RESULTS

Among 704 tPA-eligible patients with AIS, tPA was administered to 86.2% (black race, 82.5% vs nonblack race, 89.5%; p < 0.001). Fifty-three (7.5%) tPA refusals were documented. Refusal was more common in black vs nonblack patients (10.6% vs 4.8%; p = 0.004). In multivariable analysis, the following were associated with tPA refusal: black race (adjusted odds ratio [OR] 2.5, 95% confidence interval [CI] 1.3-4.6), self-pay status (adjusted OR 3.23, 95% CI 1.2-8.71), prior stroke (adjusted OR 2.11, 95% CI 1.14-3.90), age (adjusted OR 1.04, 95% CI 1.02-1.07), and NIH Stroke Scale score (adjusted OR 0.94, 95% CI 0.90-0.99).

CONCLUSIONS

Among tPA-eligible patients with AIS in Chicago, over 7% refused tPA. Refusal was more common in black patients and accounted for the apparent lower rates of tPA use in black vs nonblack patients. Further research is needed to understand barriers to consent and overcome race-ethnic disparities in tPA treatment for AIS.

How to Best Convey Information About Intensive/Comfort Care to the Family Members of Premature Infants to Enable Unbiased Perinatal Decisions

Background: As the infant's best interests are determined through the perinatal decisions of family members and physicians, it is important to understand the factors that affect such decisions. This paper investigated the separate and combined effects of various factors related to perinatal decision making and sought to determine the best way to convey information in an unbiased manner to family members. Methods: In total, 613 participants were consecutively recruited. Each participant completed a series of surveys. All responses to four items were examined via a latent class analysis (LCA) to identify subgroups of participants with similar preferences for intensive care (IC) and comfort care (CC) regarding their potentially premature infant. Multiple logistic regression analyses were applied to identify the sociodemographic predictors for the classification of participants into different subgroups. Results: χ²-tests indicated that perinatal decision making for Item 2 was influenced by framing information, whereas decision making wasn't affected by presentation modes. Furthermore, the endorsement rates of IC significantly decreased with the information increased from brief to detailed, regardless of framing or presentation mode. The LCA indicated that a 3-subgroup model, which included the IC, CC, and variation subgroups, was optimal. Logistic regression analyses demonstrated that, compared with the IC subgroup, negative framing, higher education, parenthood, and poor numeracy predicted participants' preferences for CC. Meanwhile, worrying about physical or mental disabilities predicted preferences for CC and sensitivity to the amount of information provided regarding treatment options (variation subgroup). Conclusions: Perinatal decision making is affected by many factors, suggesting that more detailed information, improved understandability of numerical data, and a neutral tone of voice regarding therapeutic outcomes would be helpful for the families of premature infants to make unbiased decisions. Our findings should be replicated in future research.

Discussing sarcoma risks during informed consent for nonhysterectomy management of fibroids: an unmet need

There is no reliable way to distinguish symptomatic uterine fibroids from sarcoma without a surgical specimen. Many women with a uterine sarcoma are initially managed without hysterectomy under a presumed fibroid diagnosis, without understanding sarcoma risks. Currently many alternatives to hysterectomy, including medical and procedural interventions, for treatment of fibroids are promoted. The sarcoma incidence among women with presumed fibroids is 0.29% (1/340) to 0.05% (1/2000). Nonmetastatic leiomyosarcoma has a 63% 5-year survival rate whereas metastatic leiomyosarcoma has a 14% 5-year survival rate. In uterine sarcoma, we often cannot identify who has sarcoma before making a potentially cure-denying decision by delaying surgery. Therefore, women electing an alternative to hysterectomy for fibroids should undergo an informed consent process that specifically includes discussion of uterine sarcoma incidence and mortality. Alternatives to hysterectomy for presumed fibroids remain preferable treatment options for many women with symptomatic fibroids, so long as underlying sarcoma risks are adequately discussed. The challenge for obstetrician- gynecologists then is how to provide better informed consent and maintain the primacy of patient autonomy over our concern to "First, do no harm." Major threats to patient's autonomy are faced in the sarcoma risk discussion. How we should present sarcoma risk information to avoid being dismissive of sarcoma or frightening women toward hysterectomy is unstudied. Research is needed to determine how to provide sarcoma risk information with less bias during informed consent.

Choices Regarding Thrombolysis Are Modified by the Way to Transfer the Messages

Although thrombolysis is the most effective medical treatment for acute ischemic stroke, many stroke patients eligible for thrombolysis miss this treatment as a result of delay or refusal by the patients and/or their proxies. To explore the influences of prognostic information for different intervals from stroke onset to the start of thrombolytic treatment (OTT) and other factors on the preferences of patients/proxies regarding thrombolytic therapy, a cross-sectional, discrete-choice experiment was performed between August 2013 and September 2014. A total of 613 Chinese inpatients or their immediate family members were consecutively recruited at the Department of Neurology. After random assignment to a negative-framing group or a positive-framing group, the subjects completed a series of surveys, including nine items about thrombolysis. Latent class analysis (LCA) was used to examine participants’ preference paradigms for thrombolysis and to categorize the participants into different subgroups. Subsequently, regression analyses were conducted to explore predictors of categorization of the participants into each subgroup and to construct a thrombolytic decision-making model. LCA revealed an optimal 3-subgroup model including a consent to thrombolysis subgroup and objection to thrombolysis subgroups 1 and 2. Multiple regression analysis demonstrated that compared with assignment to the consent to thrombolysis subgroup, assignment to objection to thrombolysis subgroup 1 or 2 could be predicted by different factors. χ² tests indicated effects of framing and other factors on participants’ choices regarding thrombolysis. Choices regarding thrombolysis were modified by not only prognostic information for different OTT intervals but also message framing, presentation format, and sociodemographic characteristics. To facilitate consent to thrombolysis, physicians should convey prognostic information to patients/proxies on the basis of patient OTT interval and should order the presentation of therapies according to the classification of patients/proxies. Individualized decision-making (IDM) might be an optimal strategy to increase the selection of thrombolysis, which providing important reference points for IDM in other clinical domains.