Publications by authors named "Ralph I Horwitz"

Clinical interviewing is the basic method to understand how a person feels and what are the presenting complaints, obtain medical history, evaluate personal attitudes and behavior related to health and disease, give the patient information about diagnosis, prognosis, and treatment, and establish a bond between patient and physician that is crucial for shared decision making and self-management. However, the value of this basic skill is threatened by time pressures and emphasis on technology. Current health care trends privilege expensive tests and procedures and tag the time devoted to interaction with the patient as lacking cost-effectiveness.

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Objective: The ongoing emergence of novel severe acute respiratory syndrome coronavirus 2 strains such as the Omicron variant amplifies the need for precision in predicting severe COVID-19 outcomes. This study presents a machine learning model, tailored to the evolving COVID-19 landscape, emphasizing novel risk factors and refining the definition of severe outcomes to predict the risk of a patient experiencing severe disease more accurately.

Methods: Utilizing electronic health records from the Healthjump database, this retrospective study examined over 1 million US COVID-19 diagnoses from March 2020 to September 2022.

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Medicine has separated the two cultures of biological science and social science in research, even though they are intimately connected in the lives of our patients. To understand the cause, progression, and treatment of long COVID , biology and biography, the patient's lived experience, must be studied together.

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Separated both in academics and practice since the Rockefeller Foundation effort to "liberate" public health from perceived subservience to clinical medicine a century ago, research in public health and clinical medicine have evolved separately. Today, translational research in population health science offers a means of fostering their convergence, with potentially great benefit to both domains. Although evidence that the two fields need not and should not be entirely distinct in their methods and goals has been accumulating for over a decade, the prodigious efforts of biomedical and social sciences over the past year to address the COVID-19 pandemic has placed this unifying approach to translational research in both fields in a new light.

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Clinical and translational medicine studies of disease risk or treatment response typically include a table 1 comparing groups on age, sex, and race and/or ethnicity. Although customarily treated as biological variables, each denote biography, elements of a person's lived experience. Capturing these biographical features is essential to achieving the ambition of personalized medicine.

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Biosocial Medicine, with its emphasis on the full integration of the person's biology and biography, proposes a strategy for clinical research and the practice of medicine that is transformative for the care of individual patients. In this paper, we argue that Biology is one component of what makes a person unique, but it does not do so alone. Biography, the lived experience of the person, integrates with biology to create a unique signature for each individual and is the foundational concept on which Biosocial Medicine is based.

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Patient-reported outcome measures (PROMs) are self-rated scales and indices developed to improve the detection of the patients' subjective experience. Given that a considerable number of PROMs are available, it is important to evaluate their validity and usefulness in a specific research or clinical setting. Published guidelines, based on psychometric criteria, do not fit in with the complexity of clinical challenges, because of their quest for homogeneity of components and inadequate attention to sensitivity.

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Construction of a patient narrative (case history) is a core strategy in the care of patients. Recent advances in biomarker identification and digital sensors to monitor physiological and behavioral features have made constructing a case history more complex. Notably, however, although a biological profile is increasingly a part of the patient's profile, an analogous patient-based biographical (life experience) profile is typically overlooked.

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Medicine-based evidence integrates a patient's biology and biography to improve individual medical care and to help eliminate the translational gap between research and the clinic.

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Objective: To compare the risk of mortality among men treated for benign prostatic hyperplasia (BPH) with 5 alpha-reductase inhibitors (5ARI) to those treated with alpha-blockers (AB) in community practice settings.

Methods: We employed a retrospective matched cohort study in 4 regions of an integrated healthcare system. Men aged 50 years and older who initiated pharmaceutical treatment for BPH and/or lower urinary tract symptoms between 1992 and 2008 and had at least 3 consecutive prescriptions that were eligible and followed through 2010 (N = 174,895).

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Background: For the past 70- years patient care has been dominated by Evidence Based Medicine (EBM) with its emphasis on Randomized Controlled Trials (RCTs) and clinical guidelines to standardize medical decision-making.

Methods: Critical assessment of the literature and analyses of the arguments that favor patient care based primarily on individual variability in disease risk or treatment response versus emphasis on group standardization.

Results: Medicine Based Evidence (MBE) is used to guide decision making for an individual patient at hand by profiling the clinical features (biology) and life experience (biography) of the patient and then finding approximate matches to the patient in a clinical library of patients assembled from diverse sources (RCTs, cohorts, registries, electronic health records and more).

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Socioeconomic status is consistently linked to population health and specifically to the finding that there is decreasing health associated with decreasing social position. Despite the substantial literature, an analogous literature that is focused on clinical practice, and especially consideration of the individual, is almost nonexistent. Even in the absence of these data, physicians routinely incorporate patient life experience (biography) into their estimation of a patient's clinical trajectory (prognosis) and when making therapeutic decisions.

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Introduction: China has pioneered advances in primary health care (PHC) and public health for a large and diverse population. To date, the current state of PHC in China has not been subjected to systematic assessments. Understanding variations in primary care services could generate opportunities for improving the structure and function of PHC.

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Background: To guide management decisions for an index patient, evidence is required from comparisons between approximate matches to the profile of the index case, where some matches contain responses to treatment and others act as controls.

Methods: We describe a method for constructing clinically relevant histories/profiles using data collected but unreported from 2 recent phase 3 randomized controlled trials assessing belimumab in subjects with clinically active and serologically positive systemic lupus erythematosus. Outcome was the Systemic lupus erythematosus Responder Index (SRI) measured at 52 weeks.

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