675 research outputs found
Do Different Groups Invest Differently in Higher Education?
On average, education accounts for about 2 percent of total annual expenditures by U.S. consumers, but this percentage varies greatly by demographic. Some groups appear to spend much more than others, so it is natural to question what influences this variation in spending.
A popular conception is that racial and ethnic groups value higher education differently. In economic terms, this is a reflection of the value of human capital—how much people are willing to invest in their children’s education. The notion that some groups invest more than others is often based on average participation rates but does not account for actual expenditures or the expenditures when you consider socioeconomic differences. This Beyond the Numbers article looks at the amount of money invested in education by different race and ethnic groups and examines different factors that could contribute to the differences in expenditures.
We find that race and ethnicity groups do, on average, spend vastly different amounts on education, but the likelihood of going to college (and thus having education expenditures) and socioeconomic factors have the most influence on families’ investment in higher education—and race and ethnicity is not the driving factor, as commonly thought
Activity Theory Analysis of Heart Failure Self-Care
The management of chronic health conditions such as heart failure is a complex process emerging from the activity of a network of individuals and artifacts. This article presents an Activity Theory-based secondary analysis of data from a geriatric heart failure management study. Twenty-one patients' interviews and clinic visit observations were analyzed to uncover eight configurations of roles and activities involving patients, clinicians, and others in the sociotechnical network. For each configuration or activity pattern, we identify points of tension and propose guidelines for developing interventions for future computer-supported healthcare systems
Movers and shakers
Most projects, in most walks of life, require the participation of multiple parties. While it is difficult to unite individuals in a common endeavor, some people, who we call “movers and shakers,” seem able to do it. The paper specifically examines moving and shaking of an investment project, whose return depends both on its quality and the total capital invested in it. We analyze a model with two types of agents: managers and investors. Managers and investors initially form social connections. Managers then bid to buy control of the project and the winning bidder puts effort into making investors aware of it. Finally, a subset of aware investors are given the chance to invest and they decide whether to do so after receiving private signals of the project’s quality. We first show that connections are valuable since they make it easier for a manager to “move and shake” the project (i.e., obtain capital from investors). When we endogenize the network, we find that, while managers are identical ex ante, a single manager emerges as most connected; he consequently earns a rent. In extensions, we move away from the assumption of ex ante identical managers to highlight forces that lead one manager or another to become a mover and shaker. Our theory sheds light on a range of topics including: entrepreneurship, venture capital, and anchor investments
Consumer Health Informatics: Empowering Healthy-Lifestyle-Seekers Through mHealth
People are at risk from noncommunicable diseases (NCD) and poor health habits, with interventions like medications and surgery carrying further risk of adverse effects. This paper addresses ways people are increasingly moving to healthy living medicine (HLM) to mitigate such health threats. HLM-seekers increasingly leverage mobile technologies that enable control of personal health information, collaboration with clinicians/other agents to establish healthy living practices. For example, outcomes from consumer health informatics research include empowering users to take charge of their health through active participation in decision-making about healthcare delivery. Because the success of health technology depends on its alignment/integration with a person's sociotechnical system, we introduce SEIPS 2.0 as a useful conceptual model and analytic tool. SEIPS 2.0 approaches human work (i.e., life's effortful activities) within the complexity of the design and implementation of mHealth technologies and their potential to emerge as consumer-facing NLM products that support NCDs like diabetes
Rapid Field Testing of Tablet Computers with Older Adults
poster abstractMany older adults experience depressive symptoms or suffer severe mental illnesses such as dementia. “Project T” was created within the eHealth division of an Eskenazi Health aging brain center as a pilot of rapid translational field research on health information technology for older adults with mental health needs. The purpose of Project T was to understand whether and how older adults in the Eskenazi Aging Brain Care (ABC) program are willing and able to use a tablet device and specific applications (“apps”) and functions: video call, self-report surveys, and games. We also tested: 1) the level of instruction, prompting, and demonstration required for participants to perform tablet tasks; and 2) variability in tablet use with age, medical condition, perceived likelihood of tablet acceptance, and assistance from an informal caregiver (e.g., family member). We developed and deployed a field usability test in the Eskenazi ABC patient population. The test assessed completion speed and accuracy, user response to the tablet, difficulties encountered by users, and usability of specific features of the hardware and software. Patients and, when applicable, informal caregivers, were exposed to the tablet in their home or clinic waiting room, in the presence of a clinician and eHealth researchers. The researchers were provided scripted instructions and prompts to guide participants. Researchers recorded both qualitative and quantitative observations. Thirteen participants (eight males, five females) performed the test. On an average 63% used the tablet with instructions and a few required demonstrations. Except one, all participants showed interest in using the tablet. Findings offer directions for designing mobile technologies to support professional, informal, and self-care among older adults with mental health needs
Systematic review of smartphone-based passive sensing for health and wellbeing
OBJECTIVE:
To review published empirical literature on the use of smartphone-based passive sensing for health and wellbeing.
MATERIAL AND METHODS:
A systematic review of the English language literature was performed following PRISMA guidelines. Papers indexed in computing, technology, and medical databases were included if they were empirical, focused on health and/or wellbeing, involved the collection of data via smartphones, and described the utilized technology as passive or requiring minimal user interaction.
RESULTS:
Thirty-five papers were included in the review. Studies were performed around the world, with samples of up to 171 (median n = 15) representing individuals with bipolar disorder, schizophrenia, depression, older adults, and the general population. The majority of studies used the Android operating system and an array of smartphone sensors, most frequently capturing accelerometry, location, audio, and usage data. Captured data were usually sent to a remote server for processing but were shared with participants in only 40% of studies. Reported benefits of passive sensing included accurately detecting changes in status, behavior change through feedback, and increased accountability in participants. Studies reported facing technical, methodological, and privacy challenges.
DISCUSSION:
Studies in the nascent area of smartphone-based passive sensing for health and wellbeing demonstrate promise and invite continued research and investment. Existing studies suffer from weaknesses in research design, lack of feedback and clinical integration, and inadequate attention to privacy issues. Key recommendations relate to developing passive sensing strategies matching the problem at hand, using personalized interventions, and addressing methodological and privacy challenges.
CONCLUSION:
As evolving passive sensing technology presents new possibilities for health and wellbeing, additional research must address methodological, clinical integration, and privacy issues. Doing so depends on interdisciplinary collaboration between informatics and clinical experts
Health Care Human Factors/Ergonomics Fieldwork in Home and Community Settings
Designing innovations aligned with patients’ needs and workflows requires human factors/ergonomics (HF/E) fieldwork in home and community settings. Fieldwork in these extra-institutional settings is challenged by a need to balance the occasionally competing priorities of patient and informal caregiver participants, study team members, and the overall project. We offer several strategies that HF/E professionals can use before, during, and after home and community site visits to optimize fieldwork and mitigate challenges in these settings. Strategies include interacting respectfully with participants, documenting the visit, managing the study team–participant relationship, and engaging in dialogue with institutional review boards
Mind the gulfs: An analysis of medication-related cognitive artifacts used by older adults with heart failure
Medication management is a patient health-related activity characterized by poor performance in older adults with chronic disease. Interventions focus on educating and motivating the patient with limited long-term effects. Cognitive artifacts facilitate cognitive tasks by making them easier, faster, and more effective and can potentially improve medication management performance. This study examined how older adult patients with heart failure use cognitive artifacts and how representational structure and physical properties facilitated or impeded medication-related tasks and processes. Interview, observation, medical record, and photographic data of and about older patients with heart failure (N = 30) and their informal caregivers (N=14) were content analyzed for cross-cutting themes about patient goals, representations, and actions. Results illustrated patient artifacts designed from a clinical rather than patient perspective, disparate internal and external representations threatening safety, and incomplete information exchange between patients and clinicians. Implications for design were the need for bridging artifacts, automatic information transfer, and cognitive artifacts designed from the perspective of the patient
Which cuff should I use? Indirect blood pressure measurement for the diagnosis of hypertension in patients with obesity: a diagnostic accuracy review.
OBJECTIVE: To determine the diagnostic accuracy of different methods of blood pressure (BP) measurement compared with reference standards for the diagnosis of hypertension in patients with obesity with a large arm circumference. DESIGN: Systematic review with meta-analysis with hierarchical summary receiver operating characteristic models. Bland-Altman analyses where individual patient data were available. Methodological quality appraised using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS2) criteria. DATA SOURCES: MEDLINE, EMBASE, Cochrane, DARE, Medion and Trip databases were searched. ELIGIBILITY CRITERIA: Cross-sectional, randomised and cohort studies of diagnostic test accuracy that compared any non-invasive BP tests (upper arm, forearm, wrist, finger) with an appropriate reference standard (invasive BP, correctly fitting upper arm cuff, ambulatory BP monitoring) in primary care were included. RESULTS: 4037 potentially relevant papers were identified. 20 studies involving 26 different comparisons met the inclusion criteria. Individual patient data were available from 4 studies. No studies satisfied all QUADAS2 criteria. Compared with the reference test of invasive BP, a correctly fitting upper arm BP cuff had a sensitivity of 0.87 (0.79 to 0.93) and a specificity of 0.85 (0.64 to 0.95); insufficient evidence was available for other comparisons to invasive BP. Compared with the reference test of a correctly fitting upper arm cuff, BP measurement at the wrist had a sensitivity of 0.92 (0.64 to 0.99) and a specificity of 0.92 (0.85 to 0.87). Measurement with an incorrectly fitting standard cuff had a sensitivity of 0.73 (0.67 to 0.78) and a specificity of 0.76 (0.69 to 0.82). Measurement at the forearm had a sensitivity of 0.84 (0.71 to 0.92) and a specificity 0.75 of (0.66 to 0.83). Bland-Altman analysis of individual patient data from 3 studies comparing wrist and upper arm BP showed a mean difference of 0.46 mm Hg for systolic BP measurement and 2.2 mm Hg for diastolic BP measurement. CONCLUSIONS: BP measurement with a correctly fitting upper arm cuff is sufficiently sensitive and specific to diagnose hypertension in patients with obesity with a large upper arm circumference. If a correctly fitting upper arm cuff cannot be applied, an incorrectly fitting standard size cuff should not be used and BP measurement at the wrist should be considered
Medication-related cognitive artifacts used by older adults with heart failure
OBJECTIVE:
To use a human factors perspective to examine how older adult patients with heart failure use cognitive artifacts for medication management.
METHODS:
We performed a secondary analysis of data collected from 30 patients and 14 informal caregivers enrolled in a larger study of heart failure self-care. Data included photographs, observation notes, interviews, video recordings, medical record data, and surveys. These data were analyzed using an iterative content analysis.
RESULTS:
Findings revealed that medication management was complex, inseparable from other patient activities, distributed across people, time, and place, and complicated by knowledge gaps. We identified fifteen types of cognitive artifacts including medical devices, pillboxes, medication lists, and electronic personal health records used for: 1) measurement/evaluation; 2) tracking/communication; 3) organization/administration; and 4) information/sensemaking. These artifacts were characterized by fit and misfit with the patient's sociotechnical system and demonstrated both advantages and disadvantages. We found that patients often modified or "finished the design" of existing artifacts and relied on "assemblages" of artifacts, routines, and actors to accomplish their self-care goals.
CONCLUSIONS:
Cognitive artifacts are useful but sometimes are poorly designed or are not used optimally. If appropriately designed for usability and acceptance, paper-based and computer-based information technologies can improve medication management for individuals living with chronic illness. These technologies can be designed for use by patients, caregivers, and clinicians; should support collaboration and communication between these individuals; can be coupled with home-based and wearable sensor technology; and must fit their users' needs, limitations, abilities, tasks, routines, and contexts of use
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