Factors impacting physicians' decisions to prevent variceal hemorrhage

Time-dependent, patient-centered perceptions of quality measures for total joint arthroplasty: a cross-sectional, choice modeling study

BACKGROUND

As value-based care arrangements continue to assess quality of care and costs, comprehensive and patient-centered definitions of quality of care are required. While patient-reported outcome measures are increasingly integrated into quality assessments following total joint arthroplasty (TJA), patient perceptions of quality paired with the phase of surgical care has not been described. The purpose of this study was to assess how TJA patients perceive measures of quality of care and assess if these perceptions change based on the phase of care.

METHODS

Patients who had undergone a TJA within the past two years or had a scheduled TJA within the next 6 months completed a questionnaire designed using best-worst scaling, a method used to measure individuals' priorities by asking participants to make repeated selections of the best and worst items in a series of subsets of items. Subanalyses were calculated to compare each phase of care (preoperative, short term postoperative, and long term postoperative).

RESULTS

A total of 153 patients completed the questionnaire; 36 were preoperative, 55 were short term postoperative, and 62 were long term postoperative. Patients placed the highest value on improving activities of daily living (β = 1.03, CI = 0.90-1.16), decreasing pain (β = 0.65, CI = 0.53-0.76), and avoiding re-intervention (β = 0.64, CI = 0.52-0.76). Decreasing pain ranked as a higher priority preoperatively compared to short term postoperatively, and subsequently increased in priority again after 6 months. Avoiding reintervention was less important to patients preoperatively compared to postoperatively. Avoiding complications was more important to patients preoperatively compared to postoperatively.

CONCLUSIONS

Matching outcome assessments with how patients assess their quality of care throughout the TJA recovery process can inform phase-specific quality improvement initiatives and value definitions. Activities of daily living should be measured across phases of care and into long-term recovery. TJA value dashboards should align with these patient-driven perceptions of quality.

LEVEL OF EVIDENCE

Level III, cohort study.

Prior Esophagogastric Devascularization Followed by Splenectomy for Liver Cirrhosis with Portal Hypertension: A Modified Laparoscopic Technique

Purpose

This study was conducted to introduce a novel modified surgical technique for laparoscopic splenectomy and esophagogastric devascularization (LSED) and its safety and efficiency.

Methods

From June 2016 to November 2017, 86 patients were diagnosed with portal hypertension and serious gastroesophageal varices in our center. Of them, 32 patients underwent LSED and 54 received the modified LSED. Results and outcomes were compared retrospectively.

Results

There were no significant differences in preoperative patient characteristics of the two groups. No intraoperative deaths took place in both groups. The intraoperative blood loss was apparently less in the M-LSED group (P < 0.05). There was no conversion in the M-LSED group; four patients receiving LSED were converted to hand-assisted LSED due to profuse bleeding during operation (P < 0.05). Operation time was significantly shorter in the M-LSED group (P < 0.05). Otherwise, postoperative hospital stay was shorter in the M-LSED group (P < 0.05). There were no significant differences in postoperative complications between the two groups (P > 0.05).

Conclusions

Our study showed that the modified LSED was a safe and effective approach with low conversion rate, less intraoperative bleeding, less blood transfusion, and shorter operation time and postoperative hospital stay compared with classical LSED. Moreover, this technique is relatively easy and technically feasible.

Engaging patients and caregivers in prioritizing symptoms impacting quality of life for Duchenne and Becker muscular dystrophy

PURPOSE

Patient preference information (PPI) have an increasing role in regulatory decision-making, especially in benefit-risk assessment. PPI can also facilitate prioritization of symptoms to treat and inform meaningful selection of clinical trial endpoints. We engaged patients and caregivers to prioritize symptoms of Duchenne and Becker muscular dystrophy (DBMD) and explored preference heterogeneity.

METHODS

Best-worst scaling (object case) was used to assess priorities across 11 symptoms of DBMD that impact quality of life and for which there is unmet need. Respondents selected the most and least important symptoms to treat among a subset of five. Relative importance scores were estimated for each symptom, and preference heterogeneity was identified using mixed logit and latent class analysis.

RESULTS

Respondents included patients (n = 59) and caregivers (n = 96) affected by DBMD. Results indicated that respondents prioritized "weaker heart pumping" [score = 5.13; 95% CI (4.67, 5.59)] and pulmonary symptoms: "lung infections" [3.15; (2.80, 3.50)] and "weaker ability to cough" [2.65; (2.33, 2.97)] as the most important symptoms to treat and "poor attention span" as the least important symptom to treat [- 5.23; (- 5.93, - 4.54)]. Statistically significant preference heterogeneity existed (p value < 0.001). At least two classes existed with different priorities. Priorities of the majority latent class (80%) reflected the aggregate results, whereas the minority latent class (20%) did not distinguish among pulmonary and other symptoms.

CONCLUSIONS

Estimates of the relative importance for symptoms of Duchenne muscular dystrophy indicated that symptoms with direct links to morbidity and mortality were prioritized above other non-skeletal muscle symptoms. Findings suggested the existence of preference heterogeneity for symptoms, which may be related to symptom experience.

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.

Latent Class Analysis of Noninvasive Methods and Liver Biopsy in Chronic Hepatitis C: An Approach without a Gold Standard

Aims

To evaluate the applicability of the Latent Class Analysis (LCA) and accuracy of transient elastography (TE), aspartate-to-platelet-ratio-index (APRI), enhanced liver fibrosis (ELF), and liver biopsy (LB) for liver fibrosis assessment in a model without a gold standard.

Methods

Significant fibrosis was defined as TE ≥ 7.1 kPa, APRI ≥ 1.5, ELF ≥ 9.37, or LB METAVIR F ≥ 2. Cirrhosis was defined as TE ≥ 12.5 kPa, APRI ≥ 2.0, ELF ≥ 10.31, or LB as METAVIR F = 4.

Results

117 patients with chronic hepatitis C were included. In the LCA, for significant fibrosis the sensitivities and specificities (95% CI) were 0.92 (0.86–0.98) and 0.79 (0.72–0.86) for TE; 0.47 (0.40–0.54) and 0.99 (0.95–1.00) for APRI; 0.81 (0.74–0.88) and 0.78 (0.71–0.85) for ELF; and 0.86 (0.68–1.00) and 0.91 (0.79–1.00) for LB. For cirrhosis, the sensitivities and specificities were 0.92 (0.76–1.00) and 0.94 (0.91–0.97) for TE; 0.57 (0.37–0.77) and 0.97 (0.93–1.00) for APRI; 0.94 (0.84–1.00) and 0.88 (0.82–0.94) for ELF; and 0.30 (0.12–0.48) and 1.00 for LB.

Conclusion

LCA was useful to evaluate accuracy of methods for liver fibrosis staging. Sensitivities and specificities of noninvasive methods were increased in LCA compared to the use of LB as the gold standard.

Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview

Best-worst scaling (BWS), also known as maximum-difference scaling, is a multiattribute approach to measuring preferences. BWS aims at the analysis of preferences regarding a set of attributes, their levels or alternatives. It is a stated-preference method based on the assumption that respondents are capable of making judgments regarding the best and the worst (or the most and least important, respectively) out of three or more elements of a choice-set. As is true of discrete choice experiments (DCE) generally, BWS avoids the known weaknesses of rating and ranking scales while holding the promise of generating additional information by making respondents choose twice, namely the best as well as the worst criteria. A systematic literature review found 53 BWS applications in health and healthcare. This article expounds possibilities of application, the underlying theoretical concepts and the implementation of BWS in its three variants: 'object case', 'profile case', 'multiprofile case'. This paper contains a survey of BWS methods and revolves around study design, experimental design, and data analysis. Moreover the article discusses the strengths and weaknesses of the three types of BWS distinguished and offered an outlook. A companion paper focuses on special issues of theory and statistical inference confronting BWS in preference measurement.

Using Best-Worst Scaling to Investigate Preferences in Health Care

INTRODUCTION

Best-worst scaling (BWS) is becoming increasingly popular to elicit preferences in health care. However, little is known about current practice and trends in the use of BWS in health care. This study aimed to identify, review and critically appraise BWS in health care, and to identify trends over time in key aspects of BWS.

METHODS

A systematic review was conducted, using Medline (via Pubmed) and EMBASE to identify all English-language BWS studies published up until April 2016. Using a predefined extraction form, two reviewers independently selected articles and critically appraised the study quality, using the Purpose, Respondents, Explanation, Findings, Significance (PREFS) checklist. Trends over time periods (≤2010, 2011, 2012, 2013, 2014 and 2015) were assessed further.

RESULTS

A total of 62 BWS studies were identified, of which 26 were BWS object case studies, 29 were BWS profile case studies and seven were BWS multi-profile case studies. About two thirds of the studies were performed in the last 2 years. Decreasing sample sizes and decreasing numbers of factors in BWS object case studies, as well as use of less complicated analytical methods, were observed in recent studies. The quality of the BWS studies was generally acceptable according to the PREFS checklist, except that most studies did not indicate whether the responders were similar to the non-responders.

CONCLUSION

Use of BWS object case and BWS profile case has drastically increased in health care, especially in the last 2 years. In contrast with previous discrete-choice experiment reviews, there is increasing use of less sophisticated analytical methods.

Varices and Variceal Hemorrhage in Cirrhosis: A New View of an Old Problem

The management of portal hypertension in cirrhosis has evolved over time, leading to improvements in the care and survival of patients with varices and variceal hemorrhage, particularly in patients who achieve a significant reduction in portal pressure. In addition to better treatment strategies and improved therapeutic options, the issue of risk stratification has become essential to identify different patient subpopulations that require a different treatment. We now recognize that the management of varices and variceal hemorrhage must be taken in the context of other complications of cirrhosis (ascites, encephalopathy, jaundice) and that the goals of therapy should be based on the presence of such complications. Evolving knowledge of the predominant pathophysiological mechanisms at each of the stages of cirrhosis also has evolved and will continue to lead to improvements in therapy. This review focuses on the management of varices and variceal hemorrhage with respect to refinements in the risk stratification of patients with cirrhosis.