Evaluation of the three-in-one team-based care model on hierarchical diagnosis and treatment patterns among patients with diabetes: a retrospective cohort study using Xiamen's regional electronic health records.

BACKGROUND: Xiamen is a pilot city in China for hierarchical diagnosis and treatment reform of non-communicable diseases, especially diabetes. Since 2012, Xiamen has implemented a program called the "three-in-one", a team-based care model for the treatment of diabetes, which involves collaboration between diabetes specialists, general practitioners, and health managers. In addition, the program provides financial incentives to improve care, as greater accessibility to medications through community health care centers (CHCs). The aim of this study was to evaluate the effectiveness of these policies in shifting visits from general hospitals to CHCs for the treatment of type 2 diabetes mellitus (T2DM). METHOD AND MATERIALS: A retrospective observational cohort study was conducted using Xiamen's regional electronic health record (EHR) database, which included 90% of all patients registered since 2012. Logistic regression was used to derive the adjusted odds ratio (OR) for patients shifting from general hospitals to CHCs. Among patients treated at hospitals, Kaplan-Meier(KM) curves were constructed to evaluate the time from each policy introduction until the switch to CHCs. A k-means clustering analysis was conducted to identify patterns of patient care-seeking behavior. RESULTS: In total, 89,558 patients and 2,373,524 visits were included. In contrast to increased outpatient visits to general hospitals in China overall, the percentage of visits to CHCs in Xiamen increased from 29.7% in 2012 to 66.5% in 2016. The most significant and rapid shift occurred in later periods after full policy implementation. Three clusters of patients were identified with different levels of complications and health care-seeking frequency. All had similar responses to the policies. CONCLUSIONS: The "three-in-one" team-based care model showed promising results for building a hierarchical health care system in China. These policy reforms effectively increased CHCs utilization among diabetic patients.

Machine Learning for Precision Health Economics and Outcomes Research (P-HEOR): Conceptual Review of Applications and Next Steps.

Precision health economics and outcomes research (P-HEOR) integrates economic and clinical value assessment by explicitly discovering distinct clinical and health care utilization phenotypes among patients. Through a conceptualized example, the objective of this review is to highlight the capabilities and limitations of machine learning (ML) applications to P-HEOR and to contextualize the potential opportunities and challenges for the wide adoption of ML for health economics. We outline a P-HEOR conceptual framework extending the ML methodology to comparatively assess the economic value of treatment regimens. Latest methodology developments on bias and confounding control in ML applications to precision medicine are also summarized.

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation.

Dividing patients into similar groups plays a significant role in implementing personalized care. Clinicians and researchers have been applying patient grouping techniques in disease phenotyping, risk stratification, and personalized medicine. However, the current approaches are either based on pure domain knowledge where the underlying patient similarity cannot be precisely quantified, or based on unsupervised clustering techniques which completely ignore the clinical context of measuring patient similarity. In the study, we propose an outcome-driven approach to identify clinically similar patients which are grouped together as a precision cohort. The approach quantitatively measures the similarity between patients in terms of a particular clinical outcome of interest, thus patients who have a similar clinical outcome tend to be grouped into the same group. We demonstrate the effectiveness of the approach in a real-world case study: from an atrial fibrillation patient cohort that is usually considered to be at high risk for ischemic stroke (IS), according to current clinical guidelines. Our approach successfully identified a precision cohort of patients with truly low risk of IS.

Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value.

The "big data" era represents an exciting opportunity to utilize powerful new sources of information to reduce clinical and health economic uncertainty on an individual patient level. In turn, health economic outcomes research (HEOR) practices will need to evolve to accommodate individual patient-level HEOR analyses. We propose the concept of "precision HEOR", which utilizes a combination of costs and outcomes derived from big data to inform healthcare decision-making that is tailored to highly specific patient clusters or individuals. To explore this concept, we discuss the current and future roles of HEOR in health sector decision-making, big data and predictive analytics, and several key HEOR contexts in which big data and predictive analytics might transform traditional HEOR into precision HEOR. The guidance document addresses issues related to the transition from traditional to precision HEOR practices, the evaluation of patient similarity analysis and its appropriateness for precision HEOR analysis, and future challenges to precision HEOR adoption. Precision HEOR should make precision medicine more realizable by aiding and adapting healthcare resource allocation. The combined hopes for precision medicine and precision HEOR are that individual patients receive the best possible medical care while overall healthcare costs remain manageable or become more cost-efficient.

Intrapharyngeal distribution of gastric acid refluxate.

OBJECTIVES/HYPOTHESIS: Determination of intrapharyngeal distribution of gastric acid refluxate is needed to better understand the pathogenesis of reflux-attributed aerodigestive tract disorders. The aims of the study were to determine intrapharyngeal distribution of gastric acid refluxate and to determine whether this distribution can better differentiate patients from control subjects compared with data obtained from a single hypopharyngeal site. METHODS: We prospectively studied 10 healthy volunteers, 12 patients with reflux laryngitis, and 15 patients with vasomotor rhinitis using a concurrent dual pharyngeal/dual esophageal pH recording technique. We determined the hypopharyngeal and oropharyngeal pH profile, including number, duration, and distribution of reflux events irrespective of and in correlation with intraesophageal pH profile using four different pH thresholds. RESULTS: Few drops in pharyngeal pH were found to be true reflux events based on their correlation with esophageal pH events. For the pharyngeal pH threshold criterion of a drop to 4.0 or less, 6 of 12 patients with reflux laryngitis, 5 of 15 patients with vasomotor rhinitis, and 2 of 10 normal control subjects exhibited a total of 25 (range, 1-5) distal pharyngeal acid reflux events. Overall, 34% of these events reached the oropharyngeal pH recording site. Between-group comparison for all levels of pH threshold criteria did not show any significant difference of reflux parameters in the hypopharyngeal or in the oropharyngeal sites among the studied groups. CONCLUSIONS: Reflux of gastric acid into the pharynx may extend to the region of the oropharynx in both patients and control subjects. Overall distribution of acid refluxate to the oropharynx is low but as groups is similar between healthy individuals and patients with reflux laryngitis and those with vasomotor rhinitis. Parameters of oropharyngeal acid reflux such as number and duration do not differentiate patients from control subjects.

Effect of lower esophageal sphincter tone and crural diaphragm contraction on distensibility of the gastroesophageal junction in humans.

Previous studies of distensibility of the gastroesophageal junction (GEJ) in humans have not tried to distinguish between the effects of muscle action and passive elastic tissue properties of the GEJ. We studied 15 healthy subjects (ages 23-67 yr, 11 men/4 women) by using a catheter with a highly complaint bag positioned manometrically at the GEJ. The bag was distended with air at a rate of 20 ml/min while intrabag pressure was recorded. Distensions were performed during normal breathing, with breath held at maximum inspiration (MI) to activate the diaphragmatic crura, and with midesophageal balloon distension (BD) to relax the lower esophageal sphincter. In 10 subjects, distensions were performed after atropine injection (12 microg/kg iv). Pressure-volume curves and incremental distensibility values were calculated and compared among the different conditions. Both MI and BD significantly altered the slopes of the pressure-volume curves, whereas no effect was seen with atropine. Maximum distensibility was seen at the volume increment of 5-10 ml and was reduced with larger volumes. Distensibility measurements for the various test conditions tended to converge at the largest volume increment, suggesting that distensibility at this degree of distension was more related to the passive elastic properties of the GEJ. On the basis of these findings, we conclude that there can be significant active muscular contributions to recordings of distensibility at the GEJ, variations that must be controlled for during different study conditions.