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      Older adults are mobile too!Identifying the barriers and facilitators to older adults’ use of mHealth for pain management

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          Abstract

          Background

          Mobile health (mHealth) is a rapidly emerging field with the potential to assist older adults in the management of chronic pain (CP) through enhanced communication with providers, monitoring treatment-related side effects and pain levels, and increased access to pain care resources. Little is currently known, however, about older adults’ attitudes and perceptions of mHealth or perceived barriers and facilitators to using mHealth tools to improve pain management.

          Methods

          We conducted six focus groups comprised of 41 diverse older adults (≥60 years of age) with CP. Participants were recruited from one primary care practice and two multiservice senior community day-visit centers located in New York City that serve older adults in their surrounding neighborhoods. Focus group discussions were recorded and transcribed, and transcriptions were analyzed using direct content analysis to identify and quantify themes.

          Results

          Focus group discussions generated 38 individual themes pertaining to the use of mHealth to help manage pain and pain medications. Participants had low prior use of mHealth (5% of participants), but the vast majority (85%) were highly willing to try the devices. Participants reported that mHealth devices might help them reach their healthcare provider more expeditiously (27%), as well as help to monitor for falls and other adverse events in the home (15%). Barriers to device use included concerns about the cost (42%) and a lack of familiarity with the technology (32%). Facilitators to device use included training prior to device use (61%) and tailoring devices to the functional needs of older adults (34%).

          Conclusions

          This study suggests that older adults with CP are interested and willing to use mHealth to assist in the management of pain. Participants in our study reported important barriers that medical professionals, researchers, and mHealth developers should address to help facilitate the development and evaluation of age-appropriate, and function-appropriate, mHealth devices for older persons with CP.

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          Most cited references25

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          Outcome measures for low back pain research. A proposal for standardized use.

          An international group of back pain researchers considered recommendations for standardized measures in clinical outcomes research in patients with back pain. To promote more standardization of outcome measurement in clinical trials and other types of outcomes research, including meta-analyses, cost-effectiveness analyses, and multicenter studies. Better standardization of outcome measurement would facilitate comparison of results among studies, and more complete reporting of relevant outcomes. Because back pain is rarely fatal or completely cured, outcome assessment is complex and involves multiple dimensions. These include symptoms, function, general well-being, work disability, and satisfaction with care. The panel considered several factors in recommending a standard battery of outcome measures. These included reliability, validity, responsiveness, and practicality of the measures. In addition, compatibility with widely used and promoted batteries such, as the American Academy of Orthopaedic Surgeons Lumbar Cluster were considered to minimize the need for changes when these instruments are used. First, a six-item set was proposed, which is sufficiently brief that it could be used in routine care settings for quality improvement and for research purposes. An expanded outcome set, which would provide more precise measurement for research purposes, includes measures of severity and frequency of symptoms, either the Roland or the Oswestry Disability Scale, either the SF-12 or the EuroQol measure of general health status, a question about satisfaction with symptoms, three types of "disability days," and an optional single item on overall satisfaction with medical care. Standardized measurement of outcomes would facilitate scientific advances in clinical care. A short, 6-item questionnaire and a somewhat expanded, more precise battery of questionnaires can be recommended. Although many considerations support such recommendations, more data on responsiveness and the minimally important change in scores are needed for most of the instruments.
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            Older adults' attitudes towards and perceptions of "smart home" technologies: a pilot study.

            The study aim is to explore the perceptions and expectations of seniors in regard to "smart home" technology installed and operated in their homes with the purpose of improving their quality of life and/or monitoring their health status. Three focus group sessions were conducted within this pilot study to assess older adults' perceptions of the technology and ways they believe technology can improve their daily lives. Themes discussed in these groups included participants' perceptions of the usefulness of devices and sensors in health-related issues such as preventing or detecting falls, assisting with visual or hearing impairments, improving mobility, reducing isolation, managing medications, and monitoring of physiological parameters. The audiotapes were transcribed and a content analysis was performed. A total of 15 older adults participated in three focus group sessions. Areas where advanced technologies would benefit older adult residents included emergency help, prevention and detection of falls, monitoring of physiological parameters, etc. Concerns were expressed about the user-friendliness of the devices, lack of human response and the need for training tailored to older learners. All participants had an overall positive attitude towards devices and sensors that can be installed in their homes in order to enhance their lives.
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              Chronic pain and poor self-rated health.

              Chronic pain is common in Western societies. Self-rated health is an important indicator of morbidity and mortality, but little is known about the relation between chronic pain and self-rated health in the general population. To analyze the association between chronic pain and self-rated health. A questionnaire survey carried out during the spring of 2002 of an age- and sex-stratified population sample of 6500 individuals in Finland aged 15 to 74 years, with a response rate of 71% (N = 4542) after exclusion of those with unobtainable data (n = 38). Chronic pain was defined as pain with a duration of at least 3 months and was graded by frequency: (1) at most once a week; (2) several times a week; and (3) daily or continuously. On the basis of a 5-item questionnaire on self-rated health, individuals were classified as having good, moderate, or poor health. Multinominal logistic regression analysis was used to assess the determinants of health. Analysis included sex, age, education, working status, chronic diseases, and mood. Perceived chronic pain graded by frequency and self-rated health status. The prevalence of any chronic pain was 35.1%; that of daily chronic pain, 14.3%. The prevalence of moderate self-rated health was 26.6% and of poor health, 7.6%. For moderate self-rated health among individuals having chronic pain at most once a week compared with individuals having no chronic pain, the adjusted odds were 1.36 (95% confidence interval [CI], 1.05-1.76); several times a week, 2.41 (95% CI, 1.94-3.00); and daily, 3.69 (95% CI, 2.97-4.59). Odds for poor self-rated health were as follows: having chronic pain at most once a week, 1.16 (95% CI, 0.65-2.07); several times a week, 2.62 (95% CI, 1.76-3.90); and daily, 11.82 (95% CI, 8.67-16.10). Chronic pain is independently related to low self-rated health in the general population.
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                Author and article information

                Contributors
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central
                1471-2318
                2013
                6 May 2013
                : 13
                : 43
                Affiliations
                [1 ]Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
                [2 ]The Center for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, NY 10065, USA
                Article
                1471-2318-13-43
                10.1186/1471-2318-13-43
                3673892
                23647949
                756e62d7-5002-4274-b579-31f3fea44e31
                Copyright © 2013 Parker et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 October 2012
                : 26 April 2013
                Categories
                Research Article

                Geriatric medicine
                Geriatric medicine

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