A "What Matters Index" (WMI) for Adolescents.

A "What Matters Index" (WMI) represents the distillation of many self-reported measures about what matters. The WMI for adults contains only 5 items that efficiently identify important needs, reliably identify people at risk for future problems, and provide guidance for improving health care and well-being. This report uses data from 10 000 respondents to illustrate the value of a 3-item WMI for adolescents built on the model of the Adult WMI.

Standardized assessment, information, and networking technologies (SAINTs): lessons from three decades of development and testing.

PURPOSE: To rectify the significant mismatch observed between what matters to patients and what clinicians know, our research group developed a standardized assessment, information, and networking technology (SAINT). METHODS: Controlled trials and field tests involving more than 230,000 adults identified characteristics of a successful SAINT- www.HowsYourHealth.org -for primary care and community settings. RESULTS: Evidence supports SAINT effectiveness when the SAINT has a simple design that provides a service to patients and explicitly engages them in an information and communication network with their clinicians. This service orientation requires that an effective SAINT deliver easily interpretable patient reports that immediately guide provider actions. For example, our SAINT tracks patient-reported confidence that they can self-manage health problems, and providers can immediately act on patients' verbatim descriptions of what they want or need to become more health confident. This information also supports current and future resource planning, and thereby fulfills another characteristic of a successful SAINT: contributing to health care reliability. Lastly, SAINTs must manage or evade the "C-monsters," powerful obstacles to implementation that largely revolve around control and commercialism. Responses from more than 10,000 adult patients with diabetes illustrate how a successful SAINT offers a standard and expedient guide to managing each patient's concerns and adjusting health services to better meet the needs of any large patient population. CONCLUSION: Technologies that evolve to include the characteristics described here will deliver more effective tools for patients, providers, payers, and policymakers and give patients control over sharing their data with those who need it in real time.

A National Pre-Pandemic Survey of Patient-Reported Health Confidence and Implications for Post-Pandemic Practice.

Patient-reported health confidence is a valuable indicator of effective patient-clinician communication, which improves outcomes and reduces costly care use. This national survey examines health confidence attainment in the United States before the COVID pandemic strained health care resources. Health confidence was low for both the percentage of respondents who were financially secure (36%) and financially insecure (18%). Persons enrolled in employer- and union-sponsored plans, who had the highest household income, did not report higher levels of health confidence. Health policy should support the measurement and monitoring of health confidence in clinical practice to improve population health and maximize resource efficiency.

Insights From Organized Crime for Disorganized Health Care.

During college and medical school, the author's summer employment acquainted him with members of organized crime families. After a full career as a primary care clinician and geriatrician with research on improving health care delivery, the author opines that several insights from organized crime should be of interest to health care professionals: (1) don't damage the host; (2) protect the brand; and (3) lead necessary adaption. From these insights, the author presents symptoms of failure evidenced by the US health care system, followed by several adaptations that would reduce the system's costs, improve its image, and address future challenges.

A Brief Review of Single-Item and Multi-Item Quality-of-Life Measures for Medicare Patients.

Using responses to HowsYourHealth.org from 9068 patients aged 65 years or older, I illustrate measurement compromises for quality-of-life assessment and management.

Validation of the What Matters Index: A brief, patient-reported index that guides care for chronic conditions and can substitute for computer-generated risk models.

INTRODUCTION: Current health care delivery relies on complex, computer-generated risk models constructed from insurance claims and medical record data. However, these models produce inaccurate predictions of risk levels for individual patients, do not explicitly guide care, and undermine health management investments in many patients at lesser risk. Therefore, this study prospectively validates a concise patient-reported risk assessment that addresses these inadequacies of computer-generated risk models. METHODS: Five measures with well-documented impacts on the use of health services are summed to create a "What Matters Index." These measures are: 1) insufficient confidence to self-manage health problems, 2) pain, 3) bothersome emotions, 4) polypharmacy, and 5) adverse medication effects. We compare the sensitivity and predictive values of this index with two representative risk models in a population of 8619 Medicaid recipients. RESULTS: The patient-reported "What Matters Index" and the conventional risk models are found to exhibit similar sensitivities and predictive values for subsequent hospital or emergency room use. The "What Matters Index" is also reliable: akin to its performance during development, for patients with index scores of 1, 2, and ≥3, the odds ratios (with 95% confidence intervals) for subsequent hospitalization within 1 year, relative to patients with a score of 0, are 1.3 (1.1-1.6), 2.0 (1.6-2.4), and 3.4 (2.9-4.0), respectively; for emergency room use, the corresponding odds ratios are 1.3 (1.1-1.4), 1.9 (1.6-2.1), and 2.9 (2.6-3.3). Similar findings were replicated among smaller populations of 1061 mostly older patients from nine private practices and 4428 Medicaid patients without chronic conditions. SUMMARY: In contrast to complex computer-generated risk models, the brief patient-reported "What Matters Index" immediately and unambiguously identifies fundamental, remediable needs for each patient and more sensibly directs the delivery of services to patient categories based on their risk for subsequent costly care.

Development of a care guidance index based on what matters to patients.

INTRODUCTION: Targeting resources for a designated higher-risk subgroup is a strategy for chronic care management. However, risk-designation has several limitations: it is inaccurate, seldom helpful for care guidance, and potentially misallocates care away from many patients. METHODS: To address limitations of risk designation, we tested a "what matters index" (WMI) in 19,593 adult patients with chronic conditions. The WMI contains five binary measures: insufficient confidence to manage health problems, level of pain, emotional problems, polypharmacy, and adverse medication effects. We examined its sum for association with patient-reported quality of life and prior emergency or hospital use. We compared its accuracy to a prototypic risk-designation model. RESULTS: The WMI was a good indicator for quality of life and in three diverse test populations it was strongly associated with the use of hospital and emergency services. For example, a sum of WMI ≥2 was associated with twice as many average uses as none; for ≥3, uses were three times higher. However, since relatively few patients use costly care, both the WMI and a prototypic risk-designation model had comparably low-positive predictive values. The WMI uses the patient voice to identify needs strongly associated with quality of life. Akin to risk designation models, the WMI can be used to place patients into groups associated with levels of costly services, but neither is likely to forecast costly service use for individuals. However, unlike risk-designation models, the WMI is based on measures that will immediately guide care for every patient.

Regular exercise is strongly associated with anticipated success for reducing health risks.

Regular exercise is a healthy behavior associated with desirable benefits. Regular exercise also makes manifest 2 fundamental behaviors-a choice and the discipline to continuously act on that choice. This cross-sectional analysis of more than 10 000 adults examines the association of regular exercise with unhealthy behaviors. Compared with people who are more regularly exercising, nonexercisers are less likely to choose to change an unhealthy habit. Nonexercisers are also much less likely to be confident of their success when they do choose a habit to change. Regular exercise seems to be a gateway behavior for reducing other unhealthy habits.

The right tool for the right job: the value of alternative patient experience measures.

Patient-reported experience of care predicts health care outcomes. Fourteen US and Canadian practices intercalated a standard ambulatory care Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey within their usual Internet-based survey to compare results from the Internet survey, Internet CAHPS survey, and a mailed CAHPS survey. They found that practice performance rankings obtained via the multi-item CAHPS survey were equivalent to a single measure captured by the Internet survey.

Improvement of patients' health confidence: a comparison of 15 primary care practices and a national sample.

Patient health confidence is an easy-to-obtain proxy measure for patient engagement and patient activation. In evidence-based literature syntheses, longitudinal studies, and empiric analyses, this measure is related to desirable consequence of medical care. Adult patients from 15 primary care practices and a national sample report on changes in health confidence over time. Exemplary practices describe how this information is used as a foundation for behaviorally sophisticated actions so necessary for improving health confidence.

A patient-reported spectrum of adverse health care experiences: harms, unnecessary care, medication illness, and low health confidence.

As part of a health "checkup," a large national sample of adults used an Internet technology that also asks about adverse experiences. About half of all respondents do not feel very confident they can manage and control most of their health problems, almost 30% consider that their hospital or emergency department use was unnecessary, 20% believe that their medications may be causing illness, and 1.5% report a medical-related harm. Routine measures across a spectrum of adverse experiences are easy to obtain as part of everyday practice. Attention to these measures by health professionals should make care safer and less wasteful.

Two useful tools: to improve patient engagement and transition from the hospital.

We use an Internet-based health assessment and feedback system to examine the range of needs and diverse experiences of 520 hospitalized adults in transition and the factors most strongly associated with their self-reported health confidence. Our results strongly suggest that patient engagement prior to admission and the quality of care coordination and communication during hospitalization can greatly enhance successful transition from the hospital back to the community. Hospitals are complex institutions. This report illustrates how the Internet or a straightforward graphic can make the complexity less overwhelming to patients and efficiently increase their health confidence for transitions.

The medium is the (health) measure: patient engagement using personal technologies.

With the phrase "the medium is the message", Marshall McLuhan argued that technologies are the messages themselves and not just the medium. Almost 50 years later, we understand that modern information and communication technologies expand our ability to perceive our world to an extent that would be impossible without the medium. In this article, we contend that information and communication technologies are becoming the dominant medium for patient engagement. Information and communication technologies will efficiently change patient-reported measurement into much more behaviorally sophisticated information that will create a very different interaction between patients and a new kind of health care workforce.