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1. Application of In-Home Monitoring Data to Transition Decisions in Continuing Care Retirement Communities: Usability Study

Author

Wild, Katherine, Sharma, Nicole, Mattek, Nora, Karlawish, Jason, Riley, Thomas, and Kaye, Jeffrey

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundContinuous in-home monitoring of older adults can provide rich and sensitive data capturing subtle behavioral and cognitive changes. Our previous work has identified multiple metrics that describe meaningful trends in daily activities over time. The continuous, multidomain nature of this technology may also serve to inform caregivers of the need for higher levels of care to maintain the health and safety of at-risk older adults. Accordingly, care decisions can be based on objective, systematically assessed real-time data. ObjectiveThis study deployed a suite of in-home monitoring technologies to detect changing levels of care needs in residents of independent living units in 7 retirement communities and to assess the efficacy of computer-based tools in informing decisions regarding care transitions. MethodsContinuous activity data were presented via an interactive, web-based tool to the staff identified in each facility who were involved in decisions regarding transitions in care among residents. Comparisons were planned between outcomes for residents whose data were shared and those whose data were not made available to the staff. Staff use of the data dashboard was monitored throughout the study, and exit interviews with the staff were conducted to explicate staff interaction with the data platform. Residents were sent weekly self-report questionnaires to document any health- or care-related changes. ResultsDuring the study period, 30 of the 95 residents (32%) reported at least one incidence of new or increased provision of care; 6 residents made a permanent move to a higher level of care within their communities. Despite initial enthusiasm and an iterative process of refinement of measures and modes of data presentation based on staff input, actual inspection and therefore the use of resident data were well below expectation. In total, 11 of the 25 staff participants (44%) logged in to the activity dashboard throughout the study. Survey data and in-depth interviews provided insight into the mismatch between intended and actual use. ConclusionsMost continuous in-home monitoring technology acceptance models focus on perceived usefulness and ease of use and equate the intent to use technology with actual use. Our experience suggests otherwise. We found that multiple intervening variables exist between perceived usefulness, intent to use, and actual use. Ethical, institutional, and social factors are considered in their roles as determinants of use.

Published
2021
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2. Feasibility of In-Home Sensor Monitoring to Detect Mild Cognitive Impairment in Aging Military Veterans: Prospective Observational Study

Author

Seelye, Adriana, Leese, Mira Isabelle, Dorociak, Katherine, Bouranis, Nicole, Mattek, Nora, Sharma, Nicole, Beattie, Zachary, Riley, Thomas, Lee, Jonathan, Cosgrove, Kevin, Fleming, Nicole, Klinger, Jessica, Ferguson, John, Lamberty, Greg John, and Kaye, Jeffrey

Subjects
Medicine
Abstract

BackgroundAging military veterans are an important and growing population who are at an elevated risk for developing mild cognitive impairment (MCI) and Alzheimer dementia, which emerge insidiously and progress gradually. Traditional clinic-based assessments are administered infrequently, making these visits less ideal to capture the earliest signals of cognitive and daily functioning decline in older adults. ObjectiveThis study aimed to evaluate the feasibility of a novel ecologically valid assessment approach that integrates passive in-home and mobile technologies to assess instrumental activities of daily living (IADLs) that are not well captured by clinic-based assessment methods in an aging military veteran sample. MethodsParticipants included 30 community-dwelling military veterans, classified as healthy controls (mean age 72.8, SD 4.9 years; n=15) or MCI (mean age 74.3, SD 6.0 years; n=15) using the Clinical Dementia Rating Scale. Participants were in relatively good health (mean modified Cumulative Illness Rating Scale score 23.1, SD 2.9) without evidence of depression (mean Geriatrics Depression Scale score 1.3, SD 1.6) or anxiety (mean generalized anxiety disorder questionnaire 1.3, SD 1.3) on self-report measures. Participants were clinically assessed at baseline and 12 months later with health and daily function questionnaires and neuropsychological testing. Daily computer use, medication taking, and physical activity and sleep data were collected via passive computer monitoring software, an instrumented pillbox, and a fitness tracker watch in participants’ environments for 12 months between clinical study visits. ResultsEnrollment began in October 2018 and continued until the study groups were filled in January 2019. A total of 201 people called to participate following public posting and focused mailings. Most common exclusionary criteria included nonveteran status 11.4% (23/201), living too far from the study site 9.4% (19/201), and having exclusionary health concerns 17.9% (36/201). Five people have withdrawn from the study: 2 with unanticipated health conditions, 2 living in a vacation home for more than half of the year, and 1 who saw no direct benefit from the research study. At baseline, MCI participants had lower Montreal Cognitive Assessment (P

Published
2020
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3. An Ecologically Valid, Longitudinal, and Unbiased Assessment of Treatment Efficacy in Alzheimer Disease (the EVALUATE-AD Trial): Proof-of-Concept Study

Author

Thomas, Neil William Douglas, Beattie, Zachary, Marcoe, Jennifer, Wright, Kirsten, Sharma, Nicole, Mattek, Nora, Dodge, Hiroko, Wild, Katherine, and Kaye, Jeffrey

Subjects
Medicine, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

BackgroundThe current clinical trial assessment methodology relies on a combination of self-report measures, cognitive and physical function tests, and biomarkers. This methodology is limited by recall bias and recency effects in self-reporting and by assessments that are brief, episodic, and clinic based. Continuous monitoring of ecologically valid measures of cognition and daily functioning in the community may provide a more sensitive method to detect subtle, progressive changes in patients with cognitive impairment and dementia. ObjectiveThis study aimed to present an alternative trial approach using a home-based sensing and computing system to detect changes related to common treatments employed in Alzheimer disease (AD). This paper introduces an ongoing study that aims to determine the feasibility of capturing sensor-based data at home and to compare the sensor-based outcomes with conventional outcomes. We describe the methodology used in the assessment protocol and present preliminary results of feasibility measures and examples of data related to medication-taking behavior, activity levels, and sleep. MethodsThe EVALUATE-AD (Ecologically Valid, Ambient, Longitudinal and Unbiased Assessment of Treatment Efficacy in Alzheimer’s Disease) trial is a longitudinal naturalistic observational cohort study recruiting 30 patients and 30 spouse coresident care partners. Participants are monitored continuously using a home-based sensing and computing system for up to 24 months. Outcome measures of the automated system are compared with conventional clinical outcome measures in AD. Acceptance of the home system and protocol are assessed by rates of dropout and protocol adherence. After completion of the study monitoring period, a composite model using multiple functional outcome measures will be created that represents a behavioral-activity signature of initiating or discontinuing AD-related medications, such as cholinesterase inhibitors, memantine, or antidepressants. ResultsThe home-based sensing and computing system has been well accepted by individuals with cognitive impairment and their care partners. Participants showed good adherence to the completion of a weekly web-based health survey. Daily activity, medication adherence, and total time in bed could be derived from algorithms using data from the sensing and computing system. The mean monitoring time for current participants was 14.6 months. Medication adherence, as measured with an electronic pillbox, was 77% for participants taking AD-related medications. ConclusionsContinuous, home-based assessment provides a novel approach to test the impact of new or existing dementia treatments generating objective, clinically meaningful measures related to cognition and everyday functioning. Combining this approach with the current clinical trial methodology may ultimately reduce trial durations, sample size needs, and reliance on a clinic-based assessment. International Registered Report Identifier (IRRID)DERR1-10.2196/17603

Published
2020
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4. Feasibility of the CART In‐Home Technology Platform in a Pilot Study of Hispanic Older Adults Residing in South Texas

Author

Mathews, Julia J., primary, Mulavelil, Rachel M., additional, Rodrigues, Nathaniel, additional, Kautz, Tiffany F, additional, Cosgrove, Kevin, additional, Wang, Chen‐Pin, additional, Fernandez, Roman A., additional, MacCarthy, Daniel, additional, Gothard, Sarah, additional, Sharma, Nicole, additional, Serrano‐Rubio, Luis Humberto, additional, Young, Vanessa M., additional, Miller, Lyndsey M., additional, Seshadri, Sudha, additional, Kaye, Jeffrey A, additional, Beattie, Zachary T, additional, and Gonzales, Mitzi M., additional

Published
2023
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10. Geriatric dementia care at Ontario Shores: A new model of care

Author

Viau, Katelynn, Yaddaden, Amel, Lussier, Maxime, Bier, Nathalie, Earle, Julie, Duff-Woskosky, Andra, Bartfay, Wally, Desai, Chaitali, Zavitz, Karen, Horsburgh, Sheri, Gamble, Brenda, Lee, Linda, Hillier, Loretta M., Patel, Tejal, Molnar, Frank, Clarke, Jo-Anne, Borrie, Michael, Cammer, Allison, Morgan, Debra, Whiting, Susan, de Vos, Maya, Henri-Bhargava, Alexandre, Votova, Kristine, Delmar, Paul, Kerchner, Geoffrey A, Wang, Guoqiao, Bateman, Randall, Klein, Gregory, Andjelkovic, Mirjana, Abi-Saab, Danielle, Bullain, Szofia, Montoya, Alonso, Fontoura, Paulo, Doody, Rachelle, Tai, Elaine, Harvey, David, Hofmann, Carsten, Ristic, Smiljana, Rehal, Sunita, Voyle, Nicola, Baudler, Monika, Verreault, Phylicia, Rousseau, François, Keller, Evelyn, Simard, Alexandra, Azouaou, Nassima, Jarboui, Manel, Talleria, Lorraine, Duguay, Johanne, Mérette, Chantale, Labbé, Annie, de Arco, Rossana Peredo Nunez, Yous, Marie-Lee, Ploeg, Jenny, Kaasalainen, Sharon, Martin, Lori Schindel, Palumbo, Mary Val, Rambur, Betty, McKenna, Lori, Voyer, Philippe, Allaire, Émilie, Li, Bing, Thaut, Michael, Yogaparan, Thirumagal, Shanmuganathan, Thirunathan, Vickneswaran, Anicha, Sriharan, Sruthy, DeMarco, Mari L., Hsiung, Ging-Yuek Robin, Best, John R., Chertkow, Howard, Gauthier, Serge, Karlawish, Jason, Feldman, Howard, Spaner, Caroline, Christie, Brian, Musteata, Stela, Gawryluk, Jodie, Hofer, Scott, Henri-Bhargava, Alex, Kenny, Rebecca, Elliot, Valerie, Kosteniuk, Julie, Chow, Amanda Froehlich, Bayly, Melanie, O’Connell, Megan E., Kortzman, August, O’Connell, Megan, Kirk, Andrew, Conn, David, Sokoloff, Lisa, Feldman, Sid, Chau, James, Moser, Andrea, Lingum, Navena, Gingrich, Shaen, Shaikh, Salma, Rabheru, Kiran, Cassidy, Keri-Leigh, Checkland, Claire, Parsons, Daria, Massie, Ariane S., Mitchell, Julie Spence, Aksenchuk, Sophia, Lindsay, Barbara, Howard, Maria, Shaw, Courtney, Armitage, Gerrard, Capstick, Andrea, McNeil, Heather, Holyoke, Paul, Vines, Chanile, Giosa, Justine, Khan, Bilal, Shultz, Mary, BEAUCHET, Olivier, Sekhon, Harmehr, Allali, Gilles, Montembeault, Maxime, Brodeur, Catherine, Macoir, Joël, Maxwell, Colleen, Maclagan, Laura, Campitelli, Michael, Yao, Shenzhen, Dharma, Christoffer, Sherin, Tracey, Hogan, David, Bronskill, Susan, Ivo, Jessica, Faisal, Sadaf, McDougall, Aidan, Bauer, Jillian, Pritchard, Sarah, Chang, Feng, Mehta, Deval, Syed, Ali, Carter, Caitlin, Sharma, Shaambhavi, Nagge, Jeff, Naglie, Gary, Stasiulis, Elaine, Yamin, Stephanie, Vrkljan, Brenda, Tuokko, Holly, Sanford, Sarah, Porter, Michelle, Polgar, Jan, Myers, Anita, Moorhouse, Paige, Mazer, Barbara, Marshall, Shawn, Gélinas, Isabelle, Crizzle, Alexander, Byszewski, Anna, Belchior, Patricia, Bédard, Michel, Rapoport, Mark, Minish, Duane, Yetman, Linda, Stephenson, Margaret, McCloskey, Rose, Agbaku, Mansa, Jarrett, Pamela, Cavanagh, Jennifer, Loncar, Adele, Demers, Vickie, Gobessi, Linda, Lodha, Vinay, Scerbe, Andrea, Astell, Arlene, DesRoches, Andrea, Panyavin, Ivan, Feltz, Nick, Wittich, Walter, Aubin, Gabrielle, Hogan, Mariah, Swaminathan, Swathi, Altschuler, Aviva, Murphy, Kelly, Guthrie, Dawn, Williams, Nicole, Campos, Jennifer, Mick, Paul, Orange, Joseph B., Pichora-Fuller, M. Kathleen, Savundranayagam, Marie Y., Phillips, Natalie A., Giroud, Nathalie, Pichora-Fuller, Kathy, Al-Yawer, Faisal, Rehan, Sana, Phillips, Natalie, Beauchet, Olivier, Niculescu, Iulia, Iaboni, Andrea, Quirt, Hannah, Penko, Marion, Tsokas, Mario, Marshall, Cecelia, Flint, Alastair, McGilton, Katherine, O’Connell, Megan E, Stewart, Norma J, Seitz, Dallas, Daku, Jean, Hack, Tracy, Hoium, Faye, Kennett-Russill, Deb, Sauter, Kristen, Holley, Joanna, Wimhurst, Christine, Katchaluba, Janet, Mitchell, Debbie, Severina, Elmira, Dallaire-Théroux, Caroline, Saikali, Stéphan, Duchesne, Simon, Sivananthan, Saskia, Mirza, Saira, Saeed, Usman, Knight, Jo, Ramirez, Joel, Stuss, Donald, Yu, Di, Swardfager, Walter, Keith, Julia, Nestor, Sean, Black, Sandra, Masellis, Mario, Joyal, Marilyne, Kotz, Sonja A., Lenglos, Christophe, Renauld, Emmanuelle, Wilson, Maximiliano A., Fecteau, Shirley, Appel, Lora, Kisonas, Erika, Appel, Eva, Bartlett, Deanna, Klein, Jennifer, Rosenberg, Jarred, Smith, Christopher, Ali, Suad, Narang, Tanya, Wiseman, Micaela, Ein, Natalie, Orchanian-Cheff, Ani, Rylett, Jane, Hogan, David B., Rockwood, Kenneth, Dixon, Roger, Sun, Winnie, Hawkins, Stacey A., Awde, Carolee, Kay, Kelly, Huntsbarger, Deana, Ferrier, Erin, Sourial, Nadia, Arsenault-Lapierre, Genevieve, McAiney, Carrie, Vedel, Isabelle, Ingram, K. Jennifer, Frank, Andrew, Sabra, Iman, Wallace, Bruce, Breau, Michael, Sweet, Lisa, Goubran, Rafiq, Knoefel, Frank, Goubran, Rafik, Stroulia, Eleni, Ault, Laura, Kecskemet, Judith, Guseva, Elena, Lungu, Ovidiu, Goldman, Sondra, Wilchesky, Machelle, Johri, Fozia, Turner, Angelese, Lavoie, Monica, Tang-Wai, David, Leonard, Carol, Graham, Naida L., Rochon, Elizabeth, Middleton, Laura, Herrmann, Nathan, Oh, Paul, Regan, Kayla, Bechard, Lauren, Lanctôt, Krista, Freeman, Shannon, Pettersen, Jacqueline, Tomasone, Jennifer, Dupuis, Sherry, Giangregorio, Lora, Ferris, Rebecca, Stultz, Tim, Mallard, Kirsten, Campbell, Elaine, Chatterjee, Atri, Mackenzie, Ian, Reinshagen, Veronica Hirsh, Ducharme, Blake, Mousavi, Ali, Gill, Sascha, Mouches, Pauline, Wang, Meng, Rajasheskar, Deepthi, MacMaster, Frank, Forkert, Nils, Smith, Eric, Ismail, Zahinoor, Varatharajah, Breni, Camicioli, Richard, Gee, Myrlene, Zwiers, Angela, Sekhon, Ramnik, Charlton, Anna, Arsenault-Lapierre, Geneviève, Ingram, Jennifer, Hawkins, Stacey, Mousavi, SeyedAli, Mackenzie, Ian R. A., Hirsh-Reinshagen, Veronica, Hsiung, Ging-Yuek. R., Gillingham, Susan M.E., Anderson, Nicole D., Alain, Claude, Georgievski, Georgi, Alfaro, Leonardo, McClenaghan, Meridith, Soares, Daniela, Matheson, Maureen, Stanoulis, Krisanne, Boyle, Daniel, Chau, Linh, Pelc, Jordan, Snash, Nadia, Byrne, Joanne, Elalouf, Karine, Alfaro, Andrea Urqueta, Johnson, Aaron, Marinier, Julie-Andrée, Kehayia, Eva, Gagné, Jean-Pierre, Murphy, Caitlin, Ellen, Ruth, Flowers, Brandi, Boulton, Karen Lee, Subotic, Arsenije, McCreary, Cheryl R., Nguyen, Amanda, Saad, Feryal, Alvarez, Ana, Beaudin, Andrew E, Pike, Bruce, Smith, Eric E, Hu, Sophie, Patten, Scott, Fick, Gordon, Sapkota, Shraddha, Mirza, Saira Saeed, Scott, Christopher J., Stuss, Donald T., Black, Sandra E., Le Blanc, Gabriella, Ducharme, Simon, Meilleur-Durand, Synthia, Lévesque, Marianne, St-Onge, Frédéric, Cunnane, Stephen, Villeneuve, Sylvia, Callahan, Brandy, Laforce, Robert, Cetin-Sahin, Deniz, Cummings, Greta G., Schuster, Tibor, Karanofsky, Mark, De Jesus, Belmir J., Cassani, Raymundo, Cecchi, Marco, Fadem, K. C., McGeown, William J., Falk, Tiago H., Chu, Charlene, Zdaniuk, Natalia, Wang, Rosalie, Ouellet, Marie-Christine, Cassivi-Joncas, Alison, Godard-Sebillotte, Claire, Rochette, Louis, Pelletier, Eric, Strumpf, Erin, Margo-Dermer, Eva, Silver, Hilah, Vafaei, Rod, Fok, Alice C, Hsiung, Ging-Yuek R., Ursenbach, Jake, Bethell, Jennifer, Neuman, Mark D, Bateman, Brian T, Hill, Andrea, Wunsch, Hannah, Ritchie, Kim, Cramm, Heidi, Aiken, Alice, Donnelly, Catherine, Goldie, Katie, Delara, Mahin, Ozzoude, Miracle, Varriano, Brenda, McLaughlin, Paula, Troyer, Angela, Bartha, Robert, Symons, Sean, Kwan, Donna, Tan, Brian, Swartz, Richard H., Saposnik, Gustavo, Tartaglia, Maria C., Ahuja, Manan, Siddhpuria, Shailee, Gormley, Jessica, Reppas, Christina, Wong, Eric, Lee, Justin, Patterson, Christopher, Walker, Jennifer, Warry, Wayne, Blind, Melissa, Allaby, Cheryl, Pitawanakwat, Karen, Zhao, Yantao, Lemieux, Andrine, Jacklin, Kristen, Crowshoe, Lindsay, Boehme, Gail, McKenna, Betty, Boyling, Elaine, Webkamigad, Sharlene, Bigeagle, Louise, Akan, Nicole, Wallace, Lindsay, Theou, Olga, Bennett, David, Darvesh, Sultan, Kirkland, Susan, Fisk, John, Andrew, Melissa, Cullen, Stephanie, Carroll, Susan, Mahon, Joel, Sarquis-Adamson, Yanina, Montero-Odasso, Manuel, Sharma, Nabina, Beaton, Derek, Roberts, Angela, Munoz, Doug, Swartz, Richard, Breen, David, Lang, Anthony, Fischer, COrrine, Fischer, Corrine, Kumar, Sanjeeve, Freedman, Morris, Finger, Elizabeth, Zinman, Lorne, Grimes, David A., Sunderland, Kelly M., Binns, Malcolm A., Strother, Stephen C., Mandzia, Jennifer, Orange, JB, Tartaglia, Carmela, El Shatshat, Amna, Rao, Praveen P.N., Teves, Julia, Bodkin, R Jack, Ho, Joanne M-W, Mehdizadeh, Sina, Dolatabadi, Elham, Ng, Kimberley-Dale, Arora, Twinkle, Jizmejian, Melody, Mansfield, Avril, Taati, Babak, Levy, Jake, Savard, Melissa, Pascoal, Tharick, Soucy, Jean-Paul, Rosa-Neto, Pedro, Martins, Felicia, Waller, Shannon, Flora, Parminder, Morland, Chris, Donovan, Steve, Fels, Deborah, Desai, Shital, Boger, Jennifer, Shashtri, Karan, Persaud, Deanna, Marashi, Sheida, Nedlund, Ann-Charlotte, Mäki-Petäjä-Leinonen, Anna, Nygård, Louise, Issakainen, Mervi, ryd, Charlotta, Pan, Yuhan, Joddrell, Phil, Dove, Erica, Owens, Hollis, Park, Elly, Liu, Lili, Kaufman, David, Simonian, Natalie, Chen, Ying, Sunderland, Kelly, Fraser, Julia, Swartz, Rick, Strother, Stephen, Legrand, Diego, Roberge, Pasquale, Vanasse, Alain, Bocti, Christian, Pirrie, Lorraine, Gray, Carolyn Steele, Nippak, Pria, Coughlan, Dave, Teselink, Johannes, Hermann, Nathan, Rasquinha, Fawn, Lanctot, Krista, Webber, Jodi, Woo, Kevin, Chamoun, Elicia, Coulombe, Valérie, Sellami, Leila, Paquette-Raynard, Emmanuelle, Gardner, Sandra, van Zon, Lorraine, Moy, Sally, Sidrak, Mariam, Sternhill, Janis, Feldman, Sidney, Karuza, Jurgis, Berall, Anna, Thomas, Neil, Mattek, Nora, Riley, Thomas, Reynolds, Christina, Marcoe, Jennifer, Sharma, Nicole, Kaye, Jeffrey, Jagtap, Shreya, Rotenberg, Shlomit, Vandermorris, Susan, Anderson, ND, Dawson, DR, Chater, Catherine, Soor, Jaspreet, Ji, Xiang, Koo, Morgan, Compagnone, Jordana, Kertes, Peter, Juby, Angela, Mager, Diana, Davis, Christopher, Jay, David, Blackburn, Toni, Brocks, Dion, Lee, Hyunwoo, Wiggermann, Vanessa, Rauscher, Alexander, Lam, Kevin, Tam, Roger, Popuri, Karteek, Beg, Mirza Faisal, Jacova, Claudia, Sossi, Vesna, Bindra, Jessica, Bouvier, Liziane, Monetta, Laura, Vitali, Paolo, Martel-Sauvageau, Vincent, Godin, Judith, McNeil, Shelly, McElhaney, Janet, Laughton, Thomas, Ho, Joanne, Tung, Jennifer, Dubé, Joseph B., Lin, Tianzhen, Best, Sarah, Truemner, Julia, Sargeant, Patricia L., Borrie, Michael J., Fogarty, Jennifer, Bassi, Nimi, Di Prospero, Cynthia, Whitehead, Victor, Pilon, Randi, Wong, Timothy, Elhayek, Nada, Dasgupta, Monidipa, Davis, Daniel, ORegan, Niamh, Kröger, Edeltraut, Furrer, Daniela, Wilcheski, Machelle, Morin, Michèle, Carmichael, Pierre-Hugues, Champoux, Nathalie, Monette, Johanne, Giguère, Anik, Aubin, Michèle, Durand, Pierre, Whiteside, Jena, Mele, Bria, Merrikh, Daria, Goodarzi, Zahra, Seary, Judith Anne, Bulley, Heather, Diciacca, Allison, Esseltine, Julia, Gaiger, Erin, Jankovic, Ivana, Mackenzie, Stephanie, McBride, Meghan, Knopp-Sihota, Jennifer A., Hoben, Mathias, Poss, Jeffrey W., Rachor, Geoffrey S., Estabrooks, Carole A., and Iroanyah, Ngozi

Subjects
Abstracts: Posters
Published
2020

17. The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community

Author

Beattie, Zachary, primary, Miller, Lyndsey M., additional, Almirola, Carlos, additional, Au-Yeung, Wan-Tai M., additional, Bernard, Hannah, additional, Cosgrove, Kevin E., additional, Dodge, Hiroko H., additional, Gamboa, Charlene J., additional, Golonka, Ona, additional, Gothard, Sarah, additional, Harbison, Sam, additional, Irish, Stephanie, additional, Kornfeld, Judith, additional, Lee, Jonathan, additional, Marcoe, Jennifer, additional, Mattek, Nora C., additional, Quinn, Charlie, additional, Reynolds, Christina, additional, Riley, Thomas, additional, Rodrigues, Nathaniel, additional, Sharma, Nicole, additional, Siqueland, Mary Alice, additional, Thomas, Neil W., additional, Truty, Timothy, additional, Wall, Rachel, additional, Wild, Katherine, additional, Wu, Chao-Yi, additional, Karlawish, Jason, additional, Silverberg, Nina B., additional, Barnes, Lisa L., additional, Czaja, Sara, additional, Silbert, Lisa C., additional, and Kaye, Jeffrey, additional

Published
2020
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23. In-Home Sensor Monitoring to Detect Mild Cognitive Impairment in Aging Veterans: Preliminary data on Methods, Feasibility, and Acceptability (Preprint)

Author

Seelye, Adriana, primary, Leese, Mira, additional, Bouranis, Nicole, additional, Mattek, Nora, additional, Sharma, Nicole, additional, Beattie, Zachary, additional, Riley, Thomas, additional, Lee, Jonathan, additional, Cosgrove, Kevin, additional, Fleming, Nicole, additional, Dorociak, Katherine, additional, Klinger, Jessica, additional, Ferguson, John, additional, Lamberty, Greg, additional, and Kaye, Jeffrey, additional

Published
2019
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27. TD‐03‐04: HIGH COMPLIANCE, CONTINUOUS LONG‐TERM HOME MONITORING OF SLEEP ACTIVITY IN DIVERSE POPULATIONS DIFFERENTIATES LOWER COGNITIVE FUNCTIONING OLDER ADULTS

Author

Kaye, Jeffrey, primary, Silbert, Lisa, additional, Beattie, Zachary, additional, Mattek, Nora, additional, Wall, Rachel, additional, Marcoe, Jennifer, additional, Sharma, Nicole, additional, Riley, Thomas, additional, Kornfeld, Judith, additional, and Dodge, Hiroko H., additional

Published
2019
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33. The Five W's of Falls: Weekly Online Health Survey of Community-Dwelling Older Adults: Analysis of 4 Years Prospective Follow-up.

Author

Piau, Antoine, Mattek, Nora, Duncan, Colette, Sharma, Nicole, Riley, Thomas, and Kaye, Jeffrey

Subjects
HEALTH surveys, INTERNET surveys, OLDER people, ACCIDENTAL fall prevention, SURVEYS, INDEPENDENT living, ACCIDENTAL falls, RESEARCH funding, LONGITUDINAL method
Abstract

Background: An in-depth examination of prospectively collected falls details may facilitate more effective falls prevention. Who was involved? What happened? Where did the fall take place? When did it happen? Why did it occur? This study aimed to provide previously unavailable details about the circumstances surrounding fall events and their consequences.Method: A retrospective analysis of falls prospectively self-reported by older adults via an online weekly health form over 4 years.Results: We collected 371 falls during the 4 year time period from 120 clinically characterized fallers (74% women, mean age 83.3 years). Most of the 371 falls occurred indoors (62%) and in well-lit areas (81%). Bedrooms were the most common places for in-home falls. Commonly observed precipitating factors included loss of balance, slipping or tripping. Almost one-third (31%) of falls were defined as injurious whereas 22% resulted in a change in the walking ability of which 26% led to the use of a cane or walker. Among falls that did not give rise to any formal health care intervention, 8% resulted in a modification of walking ability.Conclusions: A relatively high rate of fall-related injuries compared to the existing literature was observed. Online weekly surveys and the richness of details provided through these data capture method allowed us to identify falls that did not result in health care utilization but did result in decreased mobility. This finding suggests why some falls classified in the literature as noninjurious may nevertheless increase the risk of loss of autonomy and undesired outcomes. [ABSTRACT FROM AUTHOR]

Published
2020
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34. Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Author

Kaye, Jeffrey, primary, Reynolds, Christina, primary, Bowman, Molly, primary, Sharma, Nicole, primary, Riley, Thomas, primary, Golonka, Ona, primary, Lee, Jonathan, primary, Quinn, Charlie, primary, Beattie, Zachary, primary, Austin, Johanna, primary, Seelye, Adriana, primary, Wild, Katherine, primary, and Mattek, Nora, primary

Published
2018
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50. THE COLLABORATIVE AGING RESEARCH USING TECHNOLOGY (CART) INITIATIVE: BUILDING SCALABLE, ECOLOGICALLY VALID INFORMATION COMMUNICATION TECHNOLOGY RESEARCH CAPACITY

Author

Kaye, Jeffrey, primary, Agritelley, Stephen, additional, Barnes, Lisa L., additional, Chiang, Patrick, additional, Crowe, Kathleen, additional, Czaja, Sara, additional, Dodge, Hiroko, additional, Erten-Lyons, Deniz, additional, Karlawish, Jason, additional, Kornfeld, Judith, additional, Sharma, Nicole, additional, and Silverberg, Nina, additional

Published
2017
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