4
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Submit your digital health research with an established publisher
      - celebrating 25 years of open access

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Improving a Web-Based Tool to Support Older Adults to Stay Independent at Home: Qualitative Study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Older adults desire to stay independent at home for as long as possible. We developed an interactive website to inform older adults and caregivers about ways to achieve this.

          Objective

          This study aimed to perform an in-depth exploration among potential end users about how to improve the interactive website to better inform older adults and caregivers about ways to stay independent at home.

          Methods

          To complement the results of a quantitative survey on the usability and acceptability of the website before implementation, we conducted a qualitative descriptive study. Using multiple recruitment strategies, we recruited a purposeful sample of older adults (aged ≥65 years) and caregivers of older adults struggling to stay independent at home. We conducted face-to-face or telephonic interviews in either English or French. In addition, we collected sociodemographic characteristics, other characteristics of participants (eg, health, digital profile, and perception of retirement homes), and experiences with using the website (factors facilitating the use of the website, barriers to its use, and suggestions for improvement). Interviews were audio recorded, transcribed verbatim, and thematically analyzed by two researchers.

          Results

          We recruited 15 participants, including 5 older adults (mean age 75 years, SD 6) and 10 caregivers (mean age 57 years, SD 14). The mean interview time was 32 min (SD 14). Most older adults had either mobility or health problems or both, and many of them were receiving home care services (eg, blood pressure measurement and body care). Overall, participants found the website easy to navigate using a computer, reassuring, and useful for obtaining information. Barriers were related to navigation (eg, difficult to navigate with a cellphone), relevance (eg, no specific section for caregivers), realism (eg, some resources presented are not state funded), understandability (eg, the actors’ accents were difficult to understand), and accessibility (eg, not adapted for low digital literacy). Suggestions for improvement included a needs assessment section to direct users to the support appropriate to their needs, addition of information about moving into residential care, a section for caregivers, distinction between state-provided and private support services, simpler language, expansion of content to be relevant to all of Canada, and video subtitles for the hearing impaired.

          Conclusions

          Users provided a wealth of information about the needs of older adults who were facing a loss of autonomy and about what such a website could usefully provide. The request for less generic and more personalized information reflects the wide range of needs that electronic health innovations, such as our interactive website, need to address. After integrating the changes suggested, the new website—Support for Older Adults to Stay Independent at Home (SUSTAIN)—will be implemented and made available to better assist older adults and caregivers in staying independent at home.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: not found

          Risk factors for functional status decline in community-living elderly people: a systematic literature review.

          To lay the groundwork for devising, improving and implementing strategies to prevent or delay the onset of disability in the elderly, we conducted a systematic literature review of longitudinal studies published between 1985 and 1997 that reported statistical associations between individual base-line risk factors and subsequent functional status in community-living older persons. Functional status decline was defined as disability or physical function limitation. We used MEDLINE, PSYCINFO, SOCA, EMBASE, bibliographies and expert consultation to select the articles, 78 of which met the selection criteria. Risk factors were categorized into 14 domains and coded by two independent abstractors. Based on the methodological quality of the statistical analyses between risk factors and functional outcomes (e.g. control for base-line functional status, control for confounding, attrition rate), the strength of evidence was derived for each risk factor. The association of functional decline with medical findings was also analyzed. The highest strength of evidence for an increased risk in functional status decline was found for (alphabetical order) cognitive impairment, depression, disease burden (comorbidity), increased and decreased body mass index, lower extremity functional limitation, low frequency of social contacts, low level of physical activity, no alcohol use compared to moderate use, poor self-perceived health, smoking and vision impairment. The review revealed that some risk factors (e.g. nutrition, physical environment) have been neglected in past research. This review will help investigators set priorities for future research of the Disablement Process, plan health and social services for elderly persons and develop more cost-effective programs for preventing disability among them.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Predicting nursing home admission in the U.S: a meta-analysis

            Background While existing reviews have identified significant predictors of nursing home admission, this meta-analysis attempted to provide more integrated empirical findings to identify predictors. The present study aimed to generate pooled empirical associations for sociodemographic, functional, cognitive, service use, and informal support indicators that predict nursing home admission among older adults in the U.S. Methods Studies published in English were retrieved by searching the MEDLINE, PSYCINFO, CINAHL, and Digital Dissertations databases using the keywords: "nursing home placement," "nursing home entry," "nursing home admission," and "predictors/institutionalization." Any reports including these key words were retrieved. Bibliographies of retrieved articles were also searched. Selected studies included sampling frames that were nationally- or regionally-representative of the U.S. older population. Results Of 736 relevant reports identified, 77 reports across 12 data sources were included that used longitudinal designs and community-based samples. Information on number of nursing home admissions, length of follow-up, sample characteristics, analysis type, statistical adjustment, and potential risk factors were extracted with standardized protocols. Random effects models were used to separately pool the logistic and Cox regression model results from the individual data sources. Among the strongest predictors of nursing home admission were 3 or more activities of daily living dependencies (summary odds ratio [OR] = 3.25; 95% confidence interval [CI], 2.56–4.09), cognitive impairment (OR = 2.54; CI, 1.44–4.51), and prior nursing home use (OR = 3.47; CI, 1.89–6.37). Conclusion The pooled associations provided detailed empirical information as to which variables emerged as the strongest predictors of NH admission (e.g., 3 or more ADL dependencies, cognitive impairment, prior NH use). These results could be utilized as weights in the construction and validation of prognostic tools to estimate risk for NH entry over a multi-year period.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Real qualitative researchers do not count: the use of numbers in qualitative research.

              Two myths about qualitative research are that real qualitative researchers do not count and cannot count. These antinumber myths have led to the underutilization of numbers in qualitative research and to the simplistic view of qualitative research as non- or antinumber. Yet numbers are integral to qualitative research, as meaning depends, in part, on number. As in quantitative research, numbers are used in qualitative research to establish the significance of a research project, to document what is known about a problem, and to describe a sample. But they are also useful for showcasing the labor and complexity of qualitative work and to generate meaning from qualitative data; to document, verify, and test researcher interpretations or conclusions; and to re-present target events and experiences. Although numbers are important in the treatment of qualitative data, qualitative researchers should avoid the counting pitfalls of verbal counting, overcounting, misleading counting, and acontextual counting. Copyright 2001 John Wiley & Sons, Inc.
                Bookmark

                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                July 2020
                22 July 2020
                : 8
                : 7
                : e16979
                Affiliations
                [1 ] Canada Research Chair in Shared Decision Making and Knowledge Translation Laval University Québec, QC Canada
                [2 ] Centre de recherche en santé durable (VITAM) Québec, QC Canada
                [3 ] Centre intégré universitaire de santé et services sociaux de la Capitale-Nationale (CIUSSS-CN) Québec, QC Canada
                [4 ] Department of Social and Preventive Medicine Faculty of Medicine Laval University Québec, QC Canada
                [5 ] Centre for Digital Media Simon Fraser University Vancouver, BC Canada
                [6 ] Health and Social Services Systems Knowledge Translation and Implementation Component of the Quebec SPOR SUPPORT Unit Laval University Québec, QC Canada
                [7 ] Centre intégré de santé et de services sociaux de Chaudière-Appalaches Ste-Marie, QC Canada
                [8 ] Centre de recherche intégré pour un système apprenant en santé et services sociaux Lévis, QC Canada
                [9 ] Division of Critical Care Medicine Department of Anesthesiology and Critical Care Medicine Université Laval Québec, QC Canada
                [10 ] Department of Family Medicine and Emergency Medicine Faculty of Medicine Université Laval Québec, QC Canada
                [11 ] School of Architecture Faculty of Planning, Architecture, Arts and Design Université Laval Québec, QC Canada
                [12 ] Department of Physical Therapy Faculty of Rehabilitation Medicine University of Alberta Edmonton, AB Canada
                Author notes
                Corresponding Author: France Légaré france.legare@ 123456fmed.ulaval.ca
                Author information
                https://orcid.org/0000-0001-5616-0597
                https://orcid.org/0000-0002-4363-0585
                https://orcid.org/0000-0002-4867-6347
                https://orcid.org/0000-0001-6138-865X
                https://orcid.org/0000-0003-3191-3593
                https://orcid.org/0000-0002-5112-6231
                https://orcid.org/0000-0003-3875-5292
                https://orcid.org/0000-0002-5090-6439
                https://orcid.org/0000-0001-7101-861X
                https://orcid.org/0000-0002-3952-3234
                https://orcid.org/0000-0002-2296-6696
                Article
                v8i7e16979
                10.2196/16979
                7407259
                32412908
                5865064b-f813-4801-93f5-305e6dde366c
                ©Mirjam Marjolein Garvelink, Titilayo Tatiana Agbadjé, Adriana Freitas, Lysa Bergeron, Thomas Petitjean, Michèle Dugas, Louisa Blair, Patrick Archambault, Noémie Roy, Allyson Jones, France Légaré. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 22.07.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 8 November 2019
                : 6 January 2020
                : 28 February 2020
                : 14 May 2020
                Categories
                Original Paper
                Original Paper

                internet-based intervention,frail elderly,caregivers,decision making,personal autonomy,housing for the elderly

                Comments

                Comment on this article