Properties of healthcare teaming networks as a function of network construction algorithms

This is the final version. Available on open access from Public Library of Science via the DOI in this recordData Availability: The Center for Medicare Services Outpatient Claims DE-SynPUF (DE-SynPUF)\cite{RN120} test set is publicly available from the CMS web site. The full 2013 Medicare Part B Limited Data Set for Medicare claims can be obtained from the Center for Medicare Services. This data is bound by a privacy and limited distribution agreement, as well as HIPAA regulations, and thus cannot be made public with this manuscript. However, the files can be requested from the Center for Medicare Services by individual investigators and used to reproduce our findings. Release of the derived networks is also limited by Medicare requirements to remove nodes and edges where the total number of shared patients 11 shared patients, and these are available on figshare.com as referenced in the Supplemental Data section of the manuscript.Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other, and to map how patients traverse the network of providers. Most healthcare service network models have been constructed from patient claims data, using billing claims to link a patient with a specific provider in time. The data sets can be quite large (106±108 individual claims per year), making standard methods for network construction computationally challenging and thus requiring the use of alternate construction algorithms. While these alternate methods have seen increasing use in generating healthcare networks, there is little to no literature comparing the differences in the structural properties of the generated networks, which as we demonstrate, can be dramatically different. To address this issue, we compared the properties of healthcare networks constructed using different algorithms from 2013 Medicare Part B outpatient claims data. Three different algorithms were compared: Binning, sliding frame, and trace-route. Unipartite networks linking either providers or healthcare organizations by shared patients were built using each method. We find that each algorithm produced networks with substantially different topological properties, as reflected by numbers of edges, network density, assortativity, clustering coefficients and other structural measures. Provider networks adhered to a power law, while organization networks were best fit by a power law with exponential cutoff. Censoring networks to exclude edges with less than 11 shared patients, a common de-identification practice for healthcare network data, markedly reduced edge numbers and network density, and greatly altered measures of vertex prominence such as the betweenness centrality. Data analysis identified patterns in the distance patients travel between network providers, and a striking set of teaming relationships between providers in the Northeast United States and Florida, likely due to seasonal residence patterns of Medicare beneficiaries. We conclude that the choice of network construction algorithm is critical for healthcare network analysis, and discuss the implications of our findings for selecting the algorithm best suited to the type of analysis to be performed.National Institute of HealthPhilip Templeton FoundationUniversity of Rochester Center for Health Informatic

Design, Analysis and Testing of a Novel Mitral Valve for Transcatheter Implantation

Mitral regurgitation is a common mitral valve dysfunction which may lead to heart failure. Because of the rapid aging of the population, conventional surgical repair and replacement of the pathological valve are often unsuitable for about half of symptomatic patients, who are judged high-risk. Transcatheter valve implantation could represent an effective solution. However, currently available aortic valve devices are inapt for the mitral position. This paper presents the design, development and hydrodynamic assessment of a novel bi-leaflet mitral valve suitable for transcatheter implantation. The device consists of two leaflets and a sealing component made from bovine pericardium, supported by a self-expanding wireframe made from superelastic NiTi alloy. A parametric design procedure based on numerical simulations was implemented to identify design parameters providing acceptable stress levels and maximum coaptation area for the leaflets. The wireframe was designed to host the leaflets and was optimised numerically to minimise the stresses for crimping in an 8 mm sheath for percutaneous delivery. Prototypes were built and their hydrodynamic performances were tested on a cardiac pulse duplicator, in compliance with the ISO5840-3:2013 standard. The numerical results and hydrodynamic tests show the feasibility of the device to be adopted as a transcatheter valve implant for treating mitral regurgitation

Are Good Intentions Good Enough?: Informed Consent Without Trained Interpreters

OBJECTIVE: To examine the informed consent process when trained language interpreters are unavailable. BACKGROUND: Ensuring sufficient patient understanding for informed consent is especially challenging for patients with Limited English Proficiency (LEP). While US law requires provision of competent translation for LEP patients, such services are commonly unavailable. DESIGN AND PARTICIPANTS: Qualitative data was collected in 8 prenatal genetics clinics in Texas, including interviews and observations with 16 clinicians, and 30 Latina patients. Using content analysis techniques, we examined whether the basic criteria for informed consent (voluntariness, discussion of alternatives, adequate information, and competence) were evident for each of these patients, contrasting LEP patients with patients not needing an interpreter. We present case examples of difficulties related to each of these criteria, and compare informed consent scores for consultations requiring interpretation and those which did not. RESULTS: We describe multiple communication problems related to the use of untrained interpreters, or reliance on clinicians’ own limited Spanish. These LEP patients appear to be consistently disadvantaged in each of the criteria we examined, and informed consent scores were notably lower for consultations which occurred across a language barrier. CONCLUSIONS: In the absence of adequate Spanish interpretation, it was uncertain whether these LEP patients were provided the quality and content of information needed to assure that they are genuinely informed. We offer some low-cost practice suggestions that might mitigate these problems, and improve the quality of language interpretation, which is essential to assuring informed choice in health care for LEP patients

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

The Meaning of Everything: Communication at the End of Life

Communication about end-of-life care is increasingly recognized as a core clinical skill, but doctors are often unprepared to have these conversations. Crisis situations at the end of life, such as when a hospitalized patient with a poor prognosis requests that “everything” be done, pose even greater communicative challenges. Such decisions are often regarded as a demand for care that may be burdensome or even harmful, rather than the start of an important conversation about values and goals. Situations such as this have prompted the development of prescriptive approaches to communicating with patients, which have limitations since they focus more on the physicians’ message than on developing a relationship with the patient or eliciting the meaning of the illness and its treatment. Current models of communication are less about accurate transmission of information and more about the ways in which communication constitutes our social world. Thus, the goal of communication training for physicians should be less about tools and scripts, and more about doctors learning to engage patients in conversation. We suggest strategies for promoting dialogue to more effectively explore the concerns and misunderstandings that might underlie decisions to “do everything.

Primary Care Physicians’ Decisions About Discharging Patients from Their Practices

OBJECTIVE: There are few data available about factors which influence physicians' decisions to discharge patients from their practices. To study general internists' and family medicine physicians' attitudes and experiences in discharging patients from their practices.DESIGN: A cross-sectional mailed survey was used.PARTICIPANTS: One thousand general internists and family medicine physicians participated in this study.MEASUREMENTS AND MAIN RESULTS: We studied the likelihood physicians would discharge 12 hypothetical patients from their practices, and whether they had actually discharged such patients. The effect of demographic data on the number of scenarios in which patients were likely to be discharged, and the number of patients actually discharged were analyzed via ANOVA and multiple logistic regression analysis. Of 977 surveys received by subjects, 526 (54%) were completed and returned. A majority of respondents were willing to discharge patients in 5 of 12 hypothetical scenarios. Eighty-five percent had actually discharged at least one patient from their practices. Most respondents (71%) had discharged 10 or fewer patients, but 14% had discharged 11 to 200 patients. Respondents who were in private practice (p= 48 years old) were more likely to discharge actual patients from their practices (p=0.005) as were physicians practicing in rural settings (p=0.003).CONCLUSIONS: Most physicians in our sample were willing to discharge actual and hypothetical patients from their practices. This tendency may have significant implications for the initiation of pay-for-performance programs. Physicians should be educated about the importance of the patient-physician relationship and their fiduciary obligations to the patient

Use of the Physician Orders for Life-Sustaining Treatment among California Nursing Home Residents

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) is a tool that facilitates the elicitation and continuity of life-sustaining care preferences. POLST was implemented in California in 2009, but how well it disseminated across a large, racially diverse population is not known and has implications for end-of-life care. OBJECTIVE: To evaluate the use of POLST among California nursing home residents, including variation by resident characteristics and by nursing home facility. DESIGN: Observational study using California Minimum Data Set Section S. PARTICIPANTS: A total of 296,276 people with a stay in 1,220 California nursing homes in 2011. MAIN MEASURES: The proportion of residents with a completed POLST (containing a resuscitation status order and resident/proxy and physician signatures) and relationship to resident characteristics; change in POLST use during 2011; and POLST completion and unsigned forms within nursing homes. KEY RESULTS: During 2011, POLST completion increased from 33 to 49 % of California nursing home residents. Adjusting for age and gender using a mixed-effects logistic model, long-stay residents were more likely than short-stay residents to have a completed POLST [OR = 2.36 (95 % CI 2.30, 2.42)]; severely cognitively impaired residents were less likely than unimpaired to have a completed POLST [OR = 0.89 (95 % CI 0.87, 0.92)]; and there was little difference by functional status. There was no difference in POLST completion among White non-Hispanic, Black, and Hispanic residents. Variation in POLST completion among nursing homes far exceeded that attributable to resident characteristics with 40 % of facilities having ≥80 % of long-stay residents with a completed POLST, while 20 % of facilities had ≤10 % of long-stay residents with a completed POLST. Thirteen percent of nursing home residents had a POLST containing a resuscitation preference but lacked a signature, rendering the POLST invalid. CONCLUSIONS: Statewide nursing home data show broad uptake of POLST in California without racial disparity. However, variation in POLST completion among nursing homes identifies potential areas for quality improvement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11606-016-3728-9) contains supplementary material, which is available to authorized users

Medical decision-making of the patient in the context of the family: results of a survey

GOALS OF THE STUDY: From the perspective of patient autonomy, the family is often looked upon as a troublemaker in medical decision-making. The question remains open as to whether it is possible to do justice to the autonomy of the individual patient and to the claims of his family at the same time. PATIENTS AND METHODS: A clinical study was undertaken when both patients and dependents were interviewed. One hundred people (50 pairs) participated in this study and could be analyzed. A questionnaire consisting of 15 items was used and was evaluated to see if and how the attitudes concerning medical decision-making differ between patient and dependent. RESULTS: The majority of the interviewees (89%) agreed with the opinion that medical decisions should be made jointly by the patient, the family, and the doctor. Ninety-three percent approved of the claim to inform not only the patient, but also the family. Seventy percent of the patients and 54% of the dependents think that the family is entitled to have a say in matters concerning medical decision-making, only 30% of the patients, but 42% of the dependents argued against this view. Eighty-four percent of the patients argued against a change in this right at the end of life, which was approved by 32% of the family members. CONCLUSIONS: The family plays a central role in medical decision-making. This could be shown by a survey among patients with malignant diseases and their dependents. These initial findings must be verified in a larger population. The increased inclusion of the family in the process of medical decision-making corresponds in general to the expressed will of the patients. The model of shared decision-making is favored by values which both the family and the patient have in common. Thus, a family-based decision-making theory needs to be formulated in the future