Family Caregivers and Consumer Health Information Technology

Wolff, Jennifer L.; Darer, Jonathan; Larsen, Kevin

doi:10.1007/s11606-015-3494-0

Cited by 65 publications

(53 citation statements)

References 44 publications

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“…42 Although engaging family members through health information technology holds promise as a strategy to respect patients’ preferences for involving family and facilitating communication, awareness and uptake of such strategies remain low. 43 …”

Section: Discussionmentioning

confidence: 99%

A National Profile Of End-Of-Life Caregiving In The United States

et al. 2017

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Family and friends are the predominant providers of end-of-life care (EOL). Yet knowledge of the caregiving experience at the EOL has been constrained by a narrow focus on specific diseases or the “primary” caregiver and methodological limitations due to reliance on convenience samples, or recall biases associated with mortality follow-back study design. Using prospective, linked nationally representative datasets of Medicare beneficiaries and their caregivers, we found that in 2011 900,000 older adults at the EOL received support from 2.3 million paid and unpaid caregivers. Nearly 9 in 10 of these caregivers were family members or unpaid. EOL caregivers provided more extensive care and reported more care-related challenges (e.g., physical difficulty) than non-EOL caregivers. EOL challenges were especially prevalent among caregiving spouses. To meet the needs of older adults at the EOL, families and unpaid caregivers must be better recognized and integrated in care delivery and supportive services must be expanded and made more widely available.

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Section: Discussionmentioning

confidence: 99%

A National Profile Of End-Of-Life Caregiving In The United States

et al. 2017

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“…Consumer health information technology (CHIT) has been defined in a number of ways [ 3 - 5 ] but has recently been well described by Tao et al as consumer-centered electronic tools, technologies, apps, or systems that are interacted with directly by health consumers to provide them with data, information, recommendations, or services for promotion of health and health care [ 6 ]. Such technologies are a key component of the patient-centered transformation of health care systems [ 5 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Patient Interest in Provider-Based Consumer Health Information Technology: Survey Study

Featherall¹,

Lapin²,

Chaitoff³

et al. 2018

J Med Internet Res

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BackgroundConsumer health information technology can improve patient engagement in their health care and assist in navigating the complexities of health care delivery. However, the consumer health information technology offerings of health systems are often driven by provider rather than patient perspectives and inadequately address patient needs, thus limiting their adoption by patients. Consideration given to patients as stakeholders in the development of such technologies may improve adoption, efficacy, and consumer health information technology resource allocation.ObjectiveThe aims of this paper were to measure patient interest in different health system consumer health information technology apps and determine the influence of patient characteristics on consumer health information technology interest.MethodsPatients seen at the Cleveland Clinic Neurological Institute were electronically surveyed on their interest in using different consumer health information technology apps. A self-efficacy scale, Patient Health Questionnaire-9 depression screen, and EuroQol 5 dimensions health-related quality of life scale were also completed by patients. Logistic regression was used to determine the influence of patient characteristics on interest in consumer health information technology in the categories of self-management, education, and communication.ResultsThe majority of 3852 patient respondents had an interest in all technology categories assessed in the survey. The highest interest was in apps that allow patients to ask questions of providers (3476/3852, 90.24%) and to schedule appointments (3211/3839, 83.64%). Patient interest in consumer health information technology was significantly associated with greater depression symptoms, worse quality of life, greater health self-efficacy, and smartphone ownership (P<.001 for all listed).ConclusionsPatients should be viewed as active stakeholders in consumer health information technology development and their perspectives should consistently guide development efforts. Health systems should consider focusing on consumer health information technologies that assist patients in scheduling appointments and asking questions of providers. Patients with depression should also be considered for targeted consumer health information technology implementation. Health self-efficacy is a valid predictor of consumer health information technology interest and may play a role in the utilization of consumer health information technologies. Health systems, broadly, should put forth greater effort to understand the needs and interests of patients in the consumer health information technology development process. Consumer health information technology design and implementation may be improved by understanding which technologies patients want.

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“…14 The diffusion of risk prediction tools in clinical software and electronic medical records along with consumer-generated electronic data capture make it increasingly possible to incorporate a broader set of factors into risk prediction, such as information available from family caregivers. 15,16 Although many people require short-term postacute care in a nursing facility, long-term NH entry is a less common event that is highly concentrated in persons with disability. The availability of a prognostic model could facilitate more effective targeting of supports to delay or avert this outcome.…”

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confidence: 99%