Patient portals (ie, electronic personal health records tethered to institutional electronic health records) are recognized as a promising mechanism to support greater patient engagement, yet ...questions remain about how health care leaders, policy makers, and designers can encourage adoption of patient portals and what factors might contribute to sustained utilization.
The purposes of this state of the science review are to (1) present the definition, background, and how current literature addresses the encouragement and support of patient engagement through the patient portal, and (2) provide a summary of future directions for patient portal research and development to meaningfully impact patient engagement.
We reviewed literature from 2006 through 2014 in PubMed, Ovid Medline, and PsycInfo using the search terms "patient portal" OR "personal health record" OR "electronic personal health record". Final inclusion criterion dictated that studies report on the patient experience and/or ways that patients may be supported to make competent health care decisions and act on those decisions using patient portal functionality.
We found 120 studies that met the inclusion criteria. Based on the research questions, explicit and implicit aims of the studies, and related measures addressed, the studies were grouped into five major topics (patient adoption, provider endorsement, health literacy, usability, and utility). We discuss the findings and conclusions of studies that address the five topical areas.
Current research has demonstrated that patients' interest and ability to use patient portals is strongly influenced by personal factors such age, ethnicity, education level, health literacy, health status, and role as a caregiver. Health care delivery factors, mainly provider endorsement and patient portal usability also contribute to patient's ability to engage through and with the patient portal. Future directions of research should focus on identifying specific populations and contextual considerations that would benefit most from a greater degree of patient engagement through a patient portal. Ultimately, adoption by patients and endorsement by providers will come when existing patient portal features align with patients' and providers' information needs and functionality.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Interest in technology for older adults is driven by multiple converging trends: the rapid pace of technological development; the unprecedented growth of the aging population in the United States and ...worldwide; the increase in the number and survival of persons with disability; the growing and unsustainable costs of caring for the elderly people; and the increasing interest on the part of business, industry, and government agencies in addressing health care needs with technology. These trends have contributed to the strong conviction that technology can play an important role in enhancing quality of life and independence of older individuals with high levels of efficiency, potentially reducing individual and societal costs of caring for the elderly people. The purpose of this "Forum" position article is to integrate what we know about older adults and technology systems in order to provide direction to this vital enterprise. We define what we mean by technology for an aging population, provide a brief history of its development, introduce a taxonomy for characterizing current technology applications to older adults, summarize research in this area, describe existing development and evaluation processes, identify factors important for the acceptance of technology among older individuals, and recommend future directions for research in this area.
Smoking is a leading cause of premature death globally. Quitting smoking reduces the risk of all-cause mortality by 11%-34%. Smartphone app-based smoking cessation (SASC) interventions have been ...developed and are widely used. However, the evidence for the effectiveness of smartphone-based interventions for smoking cessation is currently equivocal.
The purpose of this study was to synthesize the evidence for the effectiveness of smartphone app-based interventions for smoking cessation.
We conducted a systematic review and meta-analysis of the effectiveness of smartphone interventions for smoking cessation based on the Cochrane methodology. An electronic literature search was performed using the Cochrane Library, Web of Science, PubMed, Embase, PsycINFO, China National Knowledge Infrastructure, and Wanfang databases to identify published papers in English or Chinese (there was no time limit regarding the publication date). The outcome was the smoking abstinence rate, which was either a 7-day point prevalence abstinence rate or a continuous abstinence rate.
A total of 9 randomized controlled trials involving 12,967 adults were selected for the final analysis. The selected studies from 6 countries (the United States, Spain, France, Switzerland, Canada, and Japan) were included in the meta-analysis between 2018 and 2022. Pooled effect sizes (across all follow-up time points) revealed no difference between the smartphone app group and the comparators (standard care, SMS text messaging intervention, web-based intervention, smoking cessation counseling, or apps as placebos without real function; odds ratio OR 1.25, 95% CI 0.99-1.56, P=.06, I
=73.6%). Based on the subanalyses, 6 trials comparing smartphone app interventions to comparator interventions reported no significant differences in effectiveness (OR 1.03, 95% CI 0.85-1.26, P=.74, I
=57.1%). However, the 3 trials that evaluated the combination of smartphone interventions combined with pharmacotherapy compared to pharmacotherapy alone found higher smoking abstinence rates in the combined intervention (OR 1.79, 95% CI 1.38-2.33, P=.74, I
=7.4%). All SASC interventions with higher levels of adherence were significantly more effective (OR 1.48, 95% CI 1.20-1.84, P<.001, I
=24.5%).
This systematic review and meta-analysis did not support the effectiveness of delivering smartphone-based interventions alone to achieve higher smoking abstinence rates. However, the efficacy of smartphone-based interventions increased when combined with pharmacotherapy-based smoking cessation approaches.
PROSPERO CRD42021267615; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=267615.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Despite the impact of medical regimen nonadherence on health outcomes after organ transplantation, there is mixed and conflicting evidence regarding the prevalence and predictors of posttransplant ...nonadherence. Clinicians require precise information on nonadherence rates in order to evaluate patients' risks for this problem.
A total of 147 studies of kidney, heart, liver, pancreas/kidney-pancreas, or lung/heart-lung recipients published between 1981 and 2005 were included in a meta-analysis. Average nonadherence rates were calculated for 10 areas of the medical regimen. Correlations between nonadherence and patient psychosocial risk factors were examined.
Across all types of transplantation, average nonadherence rates ranged from 1 to 4 cases per 100 patients per year (PPY) for substance use (tobacco, alcohol, illicit drugs), to 19 to 25 cases per 100 PPY for nonadherence to immunosuppressants, diet, exercise, and other healthcare requirements. Rates varied significantly by transplant type in two areas: immunosuppressant nonadherence was highest in kidney recipients (36 cases per 100 PPY vs. 7 to 15 cases in other recipients). Failure to exercise was highest in heart recipients (34 cases per 100 PPY vs. 9 to 22 cases in other recipients). Demographics, social support, and perceived health showed little correlation with nonadherence. Pretransplant substance use predicted posttransplant use.
The estimated nonadherence rates, overall and by transplant type, allow clinicians to gauge patient risk and target resources accordingly. Nonadherence rates in some areas--including immunosuppressant use--appear unacceptably high. Weak correlations of most patient psychosocial factors with nonadherence suggest that attention should focus on other classes of variables (e.g., provider-related and systems-level factors), which may be more influential.
We report the results of a study designed to assess whether and how much informal caregivers are willing to pay for technologies designed to help monitor and support care recipients (CRs) in ...performing kitchen and personal care tasks.
We carried out a web survey of a national sample of adult caregivers (age 18-64) caring for an older adult (N = 512). Respondents completed a 25min online survey that included questions about their caregiving situation, current use of everyday technology, use of specific caregiving technologies, general attitudes toward technology, and questions about technologies designed to help them monitor and provide assistance for CRs' kitchen and self-care activities.
About 20% of caregivers were not willing to pay anything for kitchen and self-care technologies. Among those willing to pay something, the mean amount was approximately $50 per month for monitoring technologies and $70 per month for technologies that both monitored and provided some assistance. Younger caregivers, those caring for a person with Alzheimer's disease, and caregivers with more positive attitudes toward and experience with technology were willing to pay more. Most caregivers feel that the government or private insurance should help pay for these technologies.
Caregivers are receptive and willing to pay for technologies that help them care for their CR, although the amount they are willing to pay is capped at around $70 per month. The combination of private pay and government subsidy may facilitate development and dissemination of caregiver technologies.
Background
The use of interactive health technology (IHT) is a promising pathway to tackle self‐management problems experienced by many chronically ill patients, including solid organ transplant (Tx) ...patients. Yet, to ensure that the IHT is accepted and used, a human‐centered design process is needed, actively involving end users in all steps of the development process. A first critical, predevelopment step involves understanding end users’ characteristics. This study therefore aims to (a) select an IHT platform to deliver a self‐management support intervention most closely related to Tx patients’ current use of information and communication technologies (ICTs), (b) understand Tx patients’ overall willingness to use IHT for self‐management support, and investigate associations with relevant technology acceptance variables, and (c) explore Tx patients’ views on potential IHT features.
Design and Methods
We performed a cross‐sectional, descriptive study between October and December 2013, enrolling a convenience sample of adult heart, lung, liver, and kidney Tx patients from the University Hospitals Leuven, Belgium. Broad inclusion criteria were applied to ensure a representative patient sample. We used a 35‐item newly designed interview questionnaire to measure Tx patients’ use of ICTs, their overall willingness to use IHT, and their views on potential IHT features, as well as relevant technology acceptance variables derived from the Unified Theory of Acceptance and Use of Technology and a literature review. Descriptive statistics were used as appropriate, and an ordinal logistic regression model was built to determine the association between Tx patients’ overall willingness to use IHT, the selected technology acceptance variables, and patient characteristics.
Findings
Out of 139 patients, 122 agreed to participate (32 heart, 30 lung, 30 liver, and 30 kidney Tx patients; participation rate: 88%). Most patients were male (57.4%), married or living together (68%), and had a mean age of 55.9 ± 13.4 years. Only 27.9% of Tx patients possessed a smartphone, yet 72.1% owned at least one desktop or laptop PC with wireless Internet at home. On a 10‐point numeric scale, asking patients whether they think IHT development is important to support them personally in their self‐management, patients gave a median score of 7 (25th percentile 5 points; 75th percentile 10 points). Patients who were single or married or living together were more likely to give a higher rating than divorced or widowed patients; patients who completed only secondary education gave a higher rating than higher educated patients; and patients with prior ICT use gave a higher rating than patients without prior ICT use. Tx patients also had clear preferences regarding IHT features, such as automatic data transfer, as much as possible, visual aids (e.g., graphs) over text messages, and personally deciding when to access the IHT.
Conclusions
By investigating Tx patients’ possession and use of ICTs, we learned that computers and the Internet, and not smartphones, are the most suitable IHT platforms to deliver self‐management interventions for our Tx patients. Moreover, Tx patients generally are open to using IHT, yet patient acceptance variables and their preferences for certain IHT features should be taken into account in the next steps of IHT development. Designers intending to develop or use existing IHTs should never overlook this critical first step in a human‐centered design.
Clinical Relevance
Before considering using eHealth technology in clinical practice, professionals should always check whether patients are familiar with using information and communication technology, and whether they are willing to use technology for health‐related purposes.
Despite recommendations that patients be involved in the design and testing of health technologies, few reports describe how to involve patients in systematic and meaningful ways to ensure that ...applications are customized to meet their needs. User-centered design is an approach that involves end users throughout the development process so that technologies support tasks, are easy to operate, and are of value to users. In this article, we provide an overview of user-centered design and use the development of Pocket Personal Assistant for Tracking Health (Pocket PATH) to illustrate how these principles and techniques were applied to involve patients in the development of this interactive health technology. Involving patient-users in the design and testing ensured functionality and usability, therefore increasing the likelihood of promoting the intended health outcomes.
Acutely ill patients may have trouble communicating their symptoms and needs verbally. The current study evaluated the usability and acceptability of six commercially available communication tools ...with older adults in a non-clinical, controlled setting. Participants evaluated various communication boards and communication applications (apps) by using the tools to communicate needs and symptoms in various scenarios. Participants completed a modified technology acceptance questionnaire and selected the tool they perceived as most useful and easy to use. Bivariate analysis was used to compare communication boards and apps. Performance on most tasks was significantly better using communication boards compared to communication apps. However, participants reported that given more time and training, the apps could be used effectively. A feasibility study is needed to determine whether acutely ill older adults can use these communication tools to successfully convey their symptoms and needs in a hospital setting Journal of Gerontological Nursing, 44(9), 30-39..
Context:
Sleep quality affects health and self-management in chronic illness. Limited research has examined patterns and predictors of sleep quality and its impact on self-management and ...health-related quality of life (HRQOL) among lung transplant recipients (LTRs).
Objective:
The aims of this study were to identify the patterns, predictors, and impact of poor sleep quality on self-management behaviors and HRQOL the first year after lung transplantation.
Methods:
Secondary analysis of 75 LTRs who participated in a randomized controlled trial. Pittsburgh Sleep Quality Index (PSQI) was administered at baseline, 2, 6, and 12 months after transplant; 12-month PSQI was dichotomized categorizing good versus poor sleepers. Predictors were measured at the time of transplant; self-management and HRQOL were measured at 12 months. Logistic regression identified predictors of poor sleep. Correlations examined poor sleep quality, self-management behaviors, and HRQOL.
Results:
Sleep quality was relatively stable during the first year, and 24 of the 75 (32%) of the sample met criteria for poor sleep quality at 12 months. The only multivariate predictor of poor sleep was female gender (odds ratio = 3.421; P = .026); the mental component of HRQOL was the only outcome associated with poor sleep (r = −.348; P < .01).
Conclusion:
Nearly one-third of LTRs reported persistent poor sleep through year 1. More females reported poor sleep quality, and sleep quality was inversely related to mental HRQOL by 12 months. Knowledge of these relationships may help identify LTRs at the greatest risk for poor sleep and guide strategies to promote sleep and optimize HRQOL.
The coronavirus disease-2019 (COVID-19) pandemic has changed the conduct of clinical trials. For studies with physical function and physical activity outcomes that require in-person participation, ...thoughtful approaches in transitioning to the remote research environment are critical. Here, we share our experiences in transitioning from in-person to remote assessments of physical function and activity during the pandemic and highlight key considerations for success. Details on the development of the remote assessment protocol, integration of a two-way video platform, and implementation of remote assessments are addressed. In particular, procedural challenges and considerations in transitioning and conducting remote assessments will be discussed in terms of efforts to maintain participant safety, maximize study efficiency, and sustain trial integrity. Plans for triangulation and analysis are also discussed. Although the role of telehealth platforms and research activities in remote settings are still growing, our experiences suggest that adopting remote assessment strategies are useful and convenient in assessing study outcomes during, and possibly even beyond, the current pandemic.
Trial register and number: ClinicalTrials.gov NCT03728257.
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