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1

Bernabeo, Elizabeth, and Eric S. Holmboe. "Patients’ Engagement: The Authors Reply." Health Affairs 32, no. 7 (July 2013): 1335. http://dx.doi.org/10.1377/hlthaff.2013.0489.

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Clark, John, Carissa Maatman, and Lorraine Gailey. "Moving Patients Forward: Motivational Engagement." Seminars in Hearing 33, no. 01 (February 2012): 035–45. http://dx.doi.org/10.1055/s-0032-1304726.

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Szumacher, Ewa. "Patients’ Engagement in Medical Education." Journal of Cancer Education 34, no. 2 (March 9, 2019): 203–4. http://dx.doi.org/10.1007/s13187-019-01496-4.

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Tzeng, Huey-Ming, and James Marcus Pierson. "Measuring patient engagement: which healthcare engagement behaviours are important to patients?" Journal of Advanced Nursing 73, no. 7 (February 14, 2017): 1604–9. http://dx.doi.org/10.1111/jan.13257.

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Schumann, Mary Jean. "Guiding Nurses and Patients Toward Engagement." Nurse Leader 11, no. 2 (April 2013): 50–51. http://dx.doi.org/10.1016/j.mnl.2012.10.001.

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Fukuda, Kazumi, Norie Inoue, and Ruriko Wakeshima. "Nurse Empathic Engagement as Perceived by Breast Cancer Patients and Changes in Patients through Empathic Engagement." Journal of Japan Academy of Nursing Science 30, no. 4 (2010): 46–55. http://dx.doi.org/10.5630/jans.30.4_46.

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7

Vinkers, David, Anton W. B. van Baars, and André I. Wierdsma. "Ethnicity and Service Engagement Among Involuntary Patients." Psychiatric Services 64, no. 9 (September 2013): 933–34. http://dx.doi.org/10.1176/appi.ps.201300037.

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Gori, S., M. Ruffino, M. Peverelli, M. Molteni, K. Priftis, and A. Facoetti. "Non-spatial attention engagement in Neglect patients." Journal of Vision 10, no. 7 (August 3, 2010): 282. http://dx.doi.org/10.1167/10.7.282.

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9

Gilbert, David. "Rethinking engagement." BJPsych Bulletin 43, no. 1 (August 29, 2018): 4–7. http://dx.doi.org/10.1192/bjb.2018.55.

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People affected by health conditions bring insights and wisdom to transform healthcare – ‘jewels from the caves of suffering'. Yet traditional patient and public engagement relies on (child–parent) feedback or (adolescent–parent) ‘representative' approaches that fail to value this expertise and buffers patients' influence. This editorial outlines the emergence of ‘patient leadership' and work in the Sussex Musculoskeletal Partnership, its patient director (the first such role in the National Health Service) and a group of patient/carer partners, who are becoming equal partners in decision-making helping to reframe problems, generate insight, shift dynamics and change practice within improvement and governance work.Declaration of interestDavid Gilbert is Director of InHealth Associates Ltd, a small consultancy organisation that supports patient and public engagement.
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Yu, Melissa M., Allison L. Weathers, Allan D. Wu, and David A. Evans. "Sharing notes with patients." Neurology: Clinical Practice 7, no. 2 (January 16, 2017): 179–85. http://dx.doi.org/10.1212/cpj.0000000000000335.

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AbstractImproved patient engagement is a critical consideration in the new payment climate. Releasing progress notes for patients to view may improve patient involvement and engagement in their care. Patients perceive benefit from viewing physician progress notes. As initial studies involved only primary care physicians, specialist physicians may have specific considerations when releasing notes to patients. This article provides a framework for neurologists to implement a note release policy in their practice.
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Galvin, John Patrick, Anne Catherine Meier, and David J. Peace. "Searching for lymphoma: An analysis of internet and social network activity and engagement." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e18102-e18102. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e18102.

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e18102 Background: Online search engines, forums and social networks can offer an important space to ask questions and share experiences. Online searches, forums and social networks have become one of the most common ways patients learn about their lymphoma. However, not much is known about which sites and online sources engage people on the topic of lymphoma and which social networks are used to learn and/or share experiences. Methods: Our objective was to analyze the sites with the most engagement online on the topic of lymphoma. We used an online analytical research program (BuzzSumo), which can assess specific content and identify sites that generate the greatest frequency of engagement across social platforms. Our analysis covered activity from 2/2014-2/2019. Results: From the analysis of 9,141 online articles on the topic of lymphoma and 662,690 engagements, we found that the social network that was used the most was Facebook and to a much lesser extent Twitter. The Pinterest and Reddit platforms were not engaged on this topic. Most engagements were with “List” and “What you should know” articles on lymphoma for both Facebook and Twitter with a significantly lesser amount of engagement for video content. Articles on lymphoma less than 2000 words had the most engagement. A number of different types of sites generated the most engagements -- ranging from media outlets, lymphoma foundations and large medical centers. An analysis of 28,863 Facebook posts on lymphoma with 4,765,956 total engagements revealed that video posts generated the most engagements and that posts that were > 300 characters generated more engagement. An analysis of questions asked online mentioning lymphoma revealed that the most common topics were that of “diagnosis” and associated emotions – “worried” or “scared.” Conclusions: Online articles and social networks have become integrated into our daily lives. It is important that we start to understand how these information sources are being used by patients, caregivers and health care providers. Our analysis of online engagement on the topic of lymphoma is an example of how analytical programs can be used to help understand where and how people are engaging to learn and share their experiences with lymphoma.
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Bray, Jennifer, Simon Evans, Mary Bruce, Christine Carter, Dawn Brooker, Sarah Milosevic, Rachel Thompson, and Louise Hutt. "Improving activity and engagement for patients with dementia." Nursing Older People 27, no. 8 (September 24, 2015): 22–26. http://dx.doi.org/10.7748/nop.27.8.22.e700.

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13

Kralik, Debbie, Tina Koch, and Karen Wotton. "Engagement and detachment: understanding patients' experiences with nursing." Journal of Advanced Nursing 26, no. 2 (August 1997): 399–407. http://dx.doi.org/10.1046/j.1365-2648.1997.1997026399.x.

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Pernet, A., V. Mollo, J. E. Bibault, and P. Giraud. "Evaluation of patients’ engagement in radiation therapy safety." Cancer/Radiothérapie 20, no. 8 (December 2016): 765–67. http://dx.doi.org/10.1016/j.canrad.2016.02.010.

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Burrows Walters, Chasity, and Elizabeth Duthie. "Patients’ Perspectives of Engagement as a Safety Strategy." Oncology Nursing Forum 44, no. 6 (November 1, 2017): 712–18. http://dx.doi.org/10.1188/17.onf.712-718.

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Waller-Wise, Renece. "Birth Plans: Encouraging Patient Engagement." Journal of Perinatal Education 25, no. 4 (2016): 215–22. http://dx.doi.org/10.1891/1058-1243.25.4.215.

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ABSTRACTPatient engagement is defined as a set of actions by patients, family members, and health-care providers that promotes patients and family members as active participants of the health-care team. As focus turns toward patient engagement where patients have an active role in their health care, childbirth educators and nurses are in a position to support patient choices. The focus is to assist the engaged woman to stay engaged and to encourage those not engaged to become engaged. The results can be improved patient care outcomes and improved patient satisfaction. One way to promote patient engagement can be the birth plan. This process can be facilitated through education of choices and assisting with writing choices into a formal birth plan.
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Gerada, Clare. "Meaningful patient engagement." BJPsych Advances 24, no. 4 (June 6, 2018): 245–51. http://dx.doi.org/10.1192/bja.2018.4.

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SUMMARYHolding a medical degree does not magically protect the individual from ever becoming unwell or needing medical help. However, for various reasons, most of which relate to personal, professional and institutional stigma, doctors are often denied the care they so readily provide to their own patients. The author has been running a ‘sick doctor’ service for 10 years and this article describes, from the practitioner-patient perspective, the barriers to care and what can be done to improve doctors' access to services.LEARNING OBJECTIVES•Appreciate the external and internal risk factors for mental illness in doctors•Understand why doctors do not attend for care when mentally unwell•Acknowledge how mentally ill doctors are exposed to stigma and how this can be overcomeDECLARATION OF INTERESTC.G. is a partner of the Hurley Group who won the contract for PHP in 2008 and is employed by and leads the NHS Practitioner Health Programme.
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Cheong, Chin Yee, Jane An Qi Tan, Yi-Lin Foong, Hui Mien Koh, Denise Zhen Yue Chen, Jessie Joon Chen Tan, Chong Jin Ng, and Philip Yap. "Creative Music Therapy in an Acute Care Setting for Older Patients with Delirium and Dementia." Dementia and Geriatric Cognitive Disorders Extra 6, no. 2 (June 25, 2016): 268–75. http://dx.doi.org/10.1159/000445883.

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Background/Aims: The acute hospital ward can be unfamiliar and stressful for older patients with impaired cognition, rendering them prone to agitation and resistive to care. Extant literature shows that music therapy can enhance engagement and mood, thereby ameliorating agitated behaviours. This pilot study evaluates the impact of a creative music therapy (CMT) programme on mood and engagement in older patients with delirium and/or dementia (PtDD) in an acute care setting. We hypothesize that CMT improves engagement and pleasure in these patients. Methods: Twenty-five PtDD (age 86.5 ± 5.7 years, MMSE 6/30 ± 5.4) were observed for 90 min (30 min before, 30 min during, and 30 min after music therapy) on 3 consecutive days: day 1 (control condition without music) and days 2 and 3 (with CMT). Music interventions included music improvisation such as spontaneous music making and playing familiar songs of patient's choice. The main outcome measures were mood and engagement assessed with the Menorah Park Engagement Scale (MPES) and Observed Emotion Rating Scale (OERS). Results: Wilcoxon signed-rank test showed a statistically significant positive change in constructive and passive engagement (Z = 3.383, p = 0.01) in MPES and pleasure and general alertness (Z = 3.188,p = 0.01) in OERS during CMT. The average pleasure ratings of days 2 and 3 were higher than those of day 1 (Z = 2.466, p = 0.014). Negative engagement (Z = 2.582, p = 0.01) and affect (Z = 2.004, p = 0.045) were both lower during CMT compared to no music. Conclusion: These results suggest that CMT holds much promise to improve mood and engagement of PtDD in an acute hospital setting. CMT can also be scheduled into the patients' daily routines or incorporated into other areas of care to increase patient compliance and cooperation.
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Brigo, Francesco, Marta Ponzano, Maria Pia Sormani, Marinella Clerico, Gianmarco Abbadessa, Giovanni Cossu, Francesca Trojsi, et al. "Digital work engagement among Italian neurologists." Therapeutic Advances in Chronic Disease 12 (January 2021): 204062232110296. http://dx.doi.org/10.1177/20406223211029616.

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Background: Digital health, including telemedicine, is increasingly recommended for the management of chronic neurological disorders, and it has changed the roles of patients and clinicians. Methods: In this cross-sectional study we aimed to investigate the digital work engagement of Italian neurologists through a survey collected between September 2020 and January 2021. Questionnaires were anonymous and collected demographic characteristics, attitudes towards digital devices and social media, and details about the clinician–patient relationship. We used logistic-regression models to identify characteristics associated with the propensity to communicate with patients using social media. Results: Among the 553 neurologists who participated to the study, smartphones and computers were widely preferred compared with tablets; wearable devices were not common, although some neurologists desired them. A total of 48% of participants reported communicating with patients using social media but only a few were in favor of social friendship with patients; WhatsApp was the social media most popular for professional (86%) and personal (98%) purposes. Propensity to communicate with social media was significantly higher among those who were older ( p < 0.001) and lived in regions outside northern Italy (center: p = 0.006; south and the islands: p < 0.001). For 58% of responders, social media improved their relationship with patients, but 72% usually warned patients about unreliable websites. Conclusions: The preferred social media were those which were rapid and which safeguard privacy more effectively; neurologists made many efforts to disprove fake news circulating online, providing help to patients in various ways. This analysis can help direct future interventions for the management of chronic neurological disorders.
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20

Bright, Felicity AS, Nicola M. Kayes, Christine Cummins, Linda M. Worrall, and Kathryn M. McPherson. "Co-constructing engagement in stroke rehabilitation: a qualitative study exploring how practitioner engagement can influence patient engagement." Clinical Rehabilitation 31, no. 10 (February 1, 2017): 1396–405. http://dx.doi.org/10.1177/0269215517694678.

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Objective: To explore how practitioner engagement and disengagement occurred, and how these may influence patient care and engagement. Design: A qualitative study using the Voice Centred Relational Methodology. Data included interviews, focus groups and observations. Setting: Inpatient and community stroke rehabilitation services. Subjects: Eleven people experiencing communication disability after stroke and 42 rehabilitation practitioners. Interventions: Not applicable. Results: The practitioner’s engagement was important in patient engagement and service delivery. When patients considered practitioners were engaged, this helped engagement. When they considered practitioners were not engaged, their engagement was negatively affected. Practitioners considered their engagement was important but complex. It influenced how they worked and how they perceived the patient. Disengagement was taboo. It arose when not feeling confident, when not positively impacting outcomes, or when having an emotional response to a patient or interaction. Each party’s engagement influenced the other, suggesting it was co-constructed. Conclusions: Practitioner engagement influenced patient engagement in stroke rehabilitation. Practitioner disengagement was reported by most practitioners but was often a source of shame.
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Kennedy, Ashleigh, and Jordan Hassin. "EEG Markers of Cognitive Engagement." Neurology 93, no. 14 Supplement 1 (September 30, 2019): S3.1—S3. http://dx.doi.org/10.1212/01.wnl.0000580848.54563.2d.

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ObjectiveThe purpose of this study was to use portable electroencephalography and qualitative assessments to characterize cognitive changes associated with perceived increase in mental load and to identify markers of mental fatigue in these individuals.BackgroundThe ability to focus on cognitive tasks impacts everything from our social interactions to our success in the classroom or workplace. Concussion negatively impacts the ability to focus and causes patients to experience signs of mental fatigue more quickly than those without concussion. The mechanisms behind these changes are still not well understood.Design/MethodsFifteen concussion patients and fifteen age-matched controls were recruited to participate in this study. Participants performed two, thirty-minute testing sessions spaced 1 month apart. In each session, participants performed 8 cognitive tasks eliciting varying levels of cognitive activity. Cognitive activity was quantitatively assessed using a MUSE non-invasive EEG headset. These data were compared to a perceived level of cognitive activity determined by the individual using the Klepsh et al (2017) cognitive engagement scale and mental fatigue assessed by the Mental Fatigue Scale (Johansson2014).ResultsThe results demonstrate that frequency based EEG changes correlated with decreased ability to focus on the cognitive task and with perceived cognitive fatigue in both concussion patients and healthy controls.ConclusionsFuture studies should utilize the same methods to monitor cognitive activity differences during daily functional living.
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Maiuri, L. "FAS engagement drives apoptosis of enterocytes of coeliac patients." Gut 48, no. 3 (March 1, 2001): 418–24. http://dx.doi.org/10.1136/gut.48.3.418.

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Aalami, Oliver, Dasha Savage, Neil Rens, Emma Meng, and Doran Triggs. "PC086. Mobile Engagement for Walking in Patients With Claudication." Journal of Vascular Surgery 69, no. 6 (June 2019): e230. http://dx.doi.org/10.1016/j.jvs.2019.04.336.

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24

Maudgal, S. "Patient Engagement for Metastatic Breast Cancer Patients: WhatsApp Counseling." Journal of Global Oncology 4, Supplement 2 (October 1, 2018): 114s. http://dx.doi.org/10.1200/jgo.18.13700.

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Background: Breast cancer accounts for 1/4th of all female cancers in India. Lack of awareness, poor diagnostic facilities, low priority for women's health cause late stage presentation. Younger average age, aggressive disease, incomplete or abandoned treatment, results in large numbers of metastatic breast cancer cases (MBC). Most people have smartphones and access to the Internet. We have created a WhatsApp based counseling program where patients can be active or passive while benefiting from others’ experiences. Aim: MBC patients cannot share their fears and innermost feelings with family members. It is therefore beneficial to create a secure, nonjudgmental, empathetic group having personal experiences and knowledge about MBC. Such interactions reduce social isolation, promote hope and optimism about the future. Methods: Doctors, social workers, nurses and administrators at 5 hospitals provided phone numbers of MBC patients who were invited to join. Groups of 6-10 women were created. A 14 week program was created alternating interventions for physical and psychological problems. Results: 50% patients contacted refused to participate. They had no desire to interact with others, had sufficient information, wanted to maintain secrecy. Some joined but left due to negative comments posted by a participant. Confidentiality could not be guaranteed since software can determine phone owners' identity. Participants were given rules, but there were many infractions. Positive outcomes: Information on healthy lifestyles, yoga, inspirational and spiritual messages, recipes, fashion, makeup tips, prostheses suppliers; music, books, movies, articles from newspapers, journals, information about workshops, seminars, meetings were shared. Inputs from physiotherapists, dieticians, CBT intervention from counselors was valued. Members were reminded about exercise and care of affected arm. Financial issues, sexual problems, advice on reconstruction were some beneficial topics. Patients arranged and enjoyed physical meetings. Negative outcomes: Patients posted information on unproven cures, personal comments about doctors. Patients on treatment asked questions better directed to their doctor. One patient asked for funds. Postings through the night disturbed those who had not muted the conversation. Irrelevant forward, videos and generic messages were a distraction. Much tact was required to prevent degeneration of the conversation. Loss of a group member was a setback for all members. Conclusion: The role of a counselor has changed greatly in recent times. Side effects are minimized, hair loss is less traumatic and patients find information on the Internet. Greater acceptance, lesser stigma means that support groups are not seen to be essential. The WhatsApp group replaced physical meetings. Women with MBC experience trauma due to physical symptoms, psychological and spiritual distress. The group allowed them to share problems with other women in similar situations.
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Westbrook, Lynn, and Ina Fourie. "A feminist information engagement framework for gynecological cancer patients." Journal of Documentation 71, no. 4 (July 13, 2015): 752–74. http://dx.doi.org/10.1108/jd-09-2014-0124.

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Purpose – The purpose of this paper is to present a three-part framework of information engagement for situated gynecological cancers. These particular cancers intertwine with medicalization of sexuality and gender power dynamics, situating information behaviors and interactions in women’s socio-health perceptions. Using Kavanagh and Broom’s feminist risk framework, the framework establishes functional and temporal parameters for sense-making and information engagement. Design/methodology/approach – This paper employs a structured, reiterative literature review with emergent thematic analysis. Nine indices from medicine, information studies, and sociology were searched using combinations of five terms on cervical cancer (CC) and 14 terms on information engagement in the title, abstract, and subject fields. Results were examined on a reiterative basis to identify emergent themes pertaining to knowledge development and information interactions. Findings – Environmentally, social stigma and gender roles inhibit information seeking; normalizing CC helps integrate medical, moral, and sexual information. Internally, living with the dichotomy between “having” a body and “being” a body requires high-trust information resources that are presented gradually. Actively, choosing to make or cede medical decision-making requires personally relevant information delivered in the form of concrete facts and explanations. Research limitations/implications – The study covers only one country. Originality/value – This study’s information framework and suggestions for future research encourage consideration of gender power dynamics, medicalization of sexuality, and autonomy in women’s health information interactions.
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Veenstra, Christine M., Paul Abrahamse, Arden M. Morris, and Sarah T. Hawley. "Partner engagement and patients’ receipt of colorectal cancer surveillance." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e19106-e19106. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e19106.

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e19106 Background: Over 50% of survivors of colorectal cancer do not receive guideline-concordant surveillance. In light of growing recognition that members of couples influence each other’s health behaviors, we sought to describe partner engagement in surveillance and evaluate associations between partner engagement and patient receipt of surveillance. Methods: In 2019 we surveyed patients who, in 2014-18, underwent resection of Stage III colorectal cancer and were seen at a community oncology practice, an academic cancer center, or reported to Georgia SEER (current RR 46%). Patients gave a separate survey to their partner. 254 partners (68% RR) completed surveys. Using existing measures, we assessed 3 partner-reported elements of engagement: 1) informed about surveillance; 2) involved (extent of and satisfaction with) in surveillance; 3) aware of patients’ values/preferences. Each measure was scored on a continuous scale with higher scores indicating greater engagement. We assessed patient receipt of surveillance by patient-report of receipt of CEA blood test, imaging, and colonoscopy/sigmoidoscopy (all y/n response). We performed multivariable regression analyses to assess associations between each element of partner engagement and patient receipt of surveillance, controlling for important partner- and patient-level variables. Results: Most partners (85%) were > age 50, female (64%), and white (86%). 27% had <high school education. Most patients (60%) had colon primary (vs rectal), received chemotherapy (95%), and were 3-4 years out from diagnosis (62%). Female partners and those with <high school education were more likely to report a greater extent of involvement; Partners < age 50 were more likely to report greater satisfaction with involvement. Female partners, those with <high school education, and partners of patients who received chemotherapy were more likely to report greater awareness (all p < 0.05). Being informed did not vary by partner or patient factors. Having a more aware partner was associated with greater patient receipt of surveillance colonoscopy/sigmoidoscopy (p = 0.01). Receipt of surveillance CEA or imaging did not vary by partner engagement. Conclusions: Partner engagement in patients’ surveillance varied by partner age, gender and education. Partner awareness of patient preferences was associated with patient receipt of surveillance colonoscopy/sigmoidoscopy. Our findings suggest that interventions to engage partners in patients’ surveillance may improve receipt of guideline-concordant care for survivors of colorectal cancer.
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Crocker, Candice, Michael Teehan, Zenovia Ursuliak, Jason Morrison, Nancy Robertson, Maria Alexiadis, and Philip Tibbo. "S238. PATIENT ENGAGEMENT TO EARLY INTERVENTION IN PSYCHOSIS SERVICES: RETROSPECTIVE ANALYSIS OF ENGAGEMENT PATTERNS." Schizophrenia Bulletin 46, Supplement_1 (April 2020): S129—S130. http://dx.doi.org/10.1093/schbul/sbaa031.304.

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Abstract Background Within outpatient mental health services there exists an important awareness of the difficulties in engaging and maintaining contact with patients, as well as the understanding of the negative effects of disengagement, including worse patient outcomes and increased healthcare burden. Despite the importance of engagement on service delivery and recovery outcomes, few studies have examined rates and predictors of engagement in the early phase psychosis population. Although better than community care, it has been reported that an average of 30% of patients disengage from specialized early intervention services for psychosis (EIS). We examined rates of disengagement to a 5 year EIS for psychosis, including potential individual risk factors for disengagement at entry to service. Methods This cross-sectional cohort study examined engagement to services to a single EIS site from November 2006 to November 2016. Disengagement was determined retrospectively on review of medical records, defined as not attending to clinic services despite repeated attempts by clinicians/clinic for a three month time frame. Gender, age at clinic entry, ethnicity, Positive and Negative Syndrome Scale (PANSS), Drug Attitude Inventory (DAI-30), General Assessment of Function (GAF), Social and Occupational Functioning Assessment Scale (SOFAS), WHO-ASSIST version 3.0, and the Psychological General Well Being (PGWB)scale at entry to service were examined between groups. . Descriptive statistical and survival analyses for time to disengagement were conducted on the patient data set. Results 331 patient records were complete (with above scales) from entry to service to discharge or loss to follow-up. Patients were found to fall into 3 categories with regard to patterns of engagement. The first category we named “engagers” as they remained committed to their care throughout the program and comprised 50% of the sample. The second group were labeled the disengagers (20% of the group) and these were individuals who disengaged at some point in the program and did not return, in contrast to “intermittent engagers“ who comprised 30% of the sample. Intermittent engagers were patients who at some point during their care would meet criteria for disengagement but would re-engage later (still within the 5 years from entry to EIS) and complete the program. Absolute disengagement by the disengager group was predominantly prior to 12 months of treatment (78% of the group) with a survival analysis showing a median time to absolute disengagement of 8 months. The 3 groups though defined based on their engagement status, did not significantly differ in age, gender and ethnicity. Additionally, the clinician reported scores GAF and SOFAS did not differ between the groups. Patterns of substance use differed between the groups. There was a trend toward higher tobacco use in the two groups showing disengagement. Cannabis use did not differ significantly between groups but the pattern of use was highest in the disengagers followed by the engagers and then intermittent engagers. Alcohol use was significantly different between the groups with 81% of the disengagers having problem levels of alcohol use (WHO ASSIST v. 3.0 score above 4), however, there was no correlation between alcohol score and time to disengagement. Discussion Our retrospective study found a surprisingly large portion of the patient population will wax and wane in their commitment to health services but ultimately maintain attendance to complete the program, suggesting that patients should not be discharged early from EIS for psychosis. Substance use patterns and functional measures may identify patients who are at risk of early disengagement from EIS.
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Elbogen, Eric B., Richard A. Van Dorn, Jeffrey W. Swanson, Marvin S. Swartz, and John Monahan. "Treatment engagement and violence risk in mental disorders." British Journal of Psychiatry 189, no. 4 (October 2006): 354–60. http://dx.doi.org/10.1192/bjp.bp.105.017913.

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BackgroundResearch has uncovered many characteristics related to violence committed by people with mental illness. However, relatively few studies have focused on understanding the connection between violence and dynamic, malleable variables such as a patient's level of treatment engagement.AimsTo explore the link between community violence and patients' beliefs about psychiatric treatment benefit.MethodA sample of 1011 adults receiving out-patient treatment for a psychiatric disorder in the public mental health systems of five US states were interviewed.ResultsBivariate analyses revealed community violence was inversely related to treatment adherence, perceived treatment need and perceived treatment effectiveness. Multivariate analyses showed these three variables were associated with reduced odds of violent and other aggressive acts.ConclusionsThe results suggest clinical consideration of patients' perceptions of treatment benefit can help enhance violence risk assessment in psychiatric practice settings.
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Biernat, Lisa, Carly E. Milliren, Jon Rauen, Bill Lindsay, Betsy Weaver, and Todd Smith. "Improving Orthopedic Care Delivery Through Digital Engagement." Iproceedings 5, no. 1 (October 2, 2019): e16305. http://dx.doi.org/10.2196/16305.

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Background Patient activation has been hypothesized to improve medical and surgical outcomes by increasing patient involvement in the care plan. We tested this hypothesis by utilizing a patient activation tool in a population of adults having total hip or total knee replacement. We hypothesized that patient activation would be associated with increased discharge to home as opposed to a skilled nursing facility, reduced hospital length of stay, decreased inpatient readmissions, and decreased emergency department (ED) visits. Objective Using an email patient activation tool, we sought to increase patients’ involvement in their care before and after total joint replacement. Outcomes examined included day of surgery cancellation, length of hospital stay, discharge to home vs discharge to a skilled nursing facility, any ED visit within 30 days of discharge, and any inpatient readmission within 30 days of discharge Methods This was a quasi-experimental design comparing Jan-Jun 2017 to Jan-Jun 2018. We instituted an email patient activation tool for all patients with total knee or total hip replacement surgery beginning in January 2018. This tool was integrated with the electronic medical record system during the six month study period and patients could opt out at anytime if they desired. The tool was designed to prepare patients both educationally and emotionally for their operation with multiple easy-to-read emails starting from the time they were scheduled for surgery through six months postop. Percent of emails opened and clicked were used as measures of engagement for the intervention participants. Results Of the 2,027 TJR patients included, 720 were hip patients and 1,307 were knee patients. Pre- and postintervention groups were similar in gender and age. For hip replacement patients, length of stay was nearly 1/4 day lower in the postintervention group (β=-0.23; P=.001) after adjusting for gender, age and insurance; ED visits were lower among the postintervention group (OR=0.45; P=.05) after adjusting for gender, age and insurance; and postintervention patients were less likely to have day of surgery cancellation, any revisit (ED or readmission), and were more likely to be discharged home. However, these associations did not reach statistical significance. Conclusions Among patients who received the intervention, higher engagement was significantly associated with positive changes in almost all outcomes. Use of the digital patient activation tool demonstrated significant savings in length of stay and reduced ED visits among hip replacement patients. Although just under 50% of patients in the intervention group were enrolled to use the tool, these findings were still significant even when non-participants were included in the postintervention group.
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Cheikh-Moussa, Kamila, Jose Joaquin Mira, and Domingo Orozco-Beltran. "Improving Engagement Among Patients With Chronic Cardiometabolic Conditions Using mHealth: Critical Review of Reviews." JMIR mHealth and uHealth 8, no. 4 (April 8, 2020): e15446. http://dx.doi.org/10.2196/15446.

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Background The burden imposed by cardiometabolic diseases remains a principal health care system concern. Integration of mobile health (mHealth) interventions is helpful for telemonitoring of these patients, which enables patients to be more active and take part in their treatment, while being more conscious and gaining more control over the outcomes. However, little is known about the degree to which users engage, and the extent to which this interaction matches the usage pattern for which mHealth interventions were designed. Objective The aim of this study was to describe the characteristics and results of studies on mHealth solutions that measured the effects of interventions with patient engagement in the context of chronic cardiometabolic diseases. Methods A critical review of systematic reviews was conducted to recover data on interventions focused on the engagement of patients with chronic cardiometabolic diseases using mHealth technologies. Articles (from January 1, 2010) were searched in the Medlars Online International Literature Medline (Medline/Pubmed), Embase, Cochrane Library, PsycINFO, and Scielo databases. Only studies that quantified a measure of engagement by patients with cardiometabolic disease were included for analysis. The Critical Appraisal Skills Programme (CASP) was used to determine included studies considering the quality of the data provided. The Scottish Intercollegiate Guidelines Network (SIGN) checklist was used to assess the quality of the evidence according to the methodology used in the studies reviewed. Engagement was defined as the level of patient implication or participation in self-care interventions. Engagement measures included number of logs to the website or platform, frequency of usage, number of messages exchanged, and number of tasks completed. Results Initially, 638 papers were retrieved after applying the inclusion and exclusion criteria. Finally, only three systematic reviews measuring engagement were included in the analysis. No reviews applying a meta-analysis approach were found. The three review articles described the results of 10 clinical trials and feasibility studies that quantified engagement and met the inclusion criteria assessed through CASP. The sample size varied between 6 and 270 individuals, who were predominantly men. Cardiac disease was the principal target in the comparison of traditional and mHealth interventions for engagement improvement. The level of patient engagement with mHealth technologies varied between 50% and 97%, and technologies incorporating smartphones with a reminder function resulted in the highest level of engagement. Conclusions mHealth interventions are an effective solution for improving engagement of patients with chronic cardiometabolic diseases. However, there is a need for advanced analysis and higher-quality studies focused on long-term engagement with specific interventions. The use of smartphones with a single app that includes a reminder function appears to result in better improvement in active participation, leading to higher engagement among patients with cardiometabolic diseases.
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Pomey, Marie-Pascale, Djahanchah P. Ghadiri, Philippe Karazivan, Nicolas Fernandez, and Nathalie Clavel. "Patients as Partners: A Qualitative Study of Patients’ Engagement in Their Health Care." PLOS ONE 10, no. 4 (April 9, 2015): e0122499. http://dx.doi.org/10.1371/journal.pone.0122499.

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Belov, O. O. "ENERGY AND VIITALITY IN PATIENTS WITH DEPRESSIVE DISORDERS." Актуальні проблеми сучасної медицини: Вісник Української медичної стоматологічної академії 21, no. 2 (June 17, 2021): 12–17. http://dx.doi.org/10.31718/2077-1096.21.2.12.

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Depressive disorders are one of the most clinically and socially challenging diseases resulting from diagnostic and therapeutic difficulties and significant socio-psychological maladaptation. Therefore, investigating the characteristics of energy and vitality in patients with depressive disorders, taking into account age and sex can contribute to comprehensive understanding of the etiopathogenetic and pathopsychological mechanisms of depressive disorders. The aim of this study is to assess the peculiarities of vitality and its components in patients with depressive disorders considering their age and sex. The study involved 107 men and 138 women with depressive disorders, who underwent clinical and psychological examination and were asked to fill out a questionnaire about their live energy and health components of vitality. The findings obtained demonstrated the low level of vitality in patients with depression. In men, the level of social engagement was 22.2±5.9 scores in the age group up to 30 years; 19.0±6.8 scores in the age group of 30-44 year participants, and 11.6±10.0 scores in the age group of 45 year old and over; while in the control groups this value was 20.9±4.4 scores, 19.5±5.9 scores and 13.2±9.2 scores respectively. The assumption of risk was in the test groups was scored 9.9±3.4, 8.7±3.2, and 5.6±4.3 respectively; vitality rate made up 53.1±11.7 scores, 47.2±13.4 scores and 30.4 ± 22.7 scores respectively. The women demonstrated significantly (p<0.05) higher rates of social engagement: 25.6±7.5 scores, 22.4±7.2 scores, and 14.7±6.6 points, respectively vs. 23.5±5.0 scores, 22.1±6.0 scores, and 17.9±4.7 scores in the controls, respectively; the assumption of risk equalled 10.7±3.1 scores, 9.9±4.0 scores, and 7.8±3.6 scores respectively. The vitality was scored 59.8±13.3, 54.3±15.2, and 40.5±13.2 respectively. There has been found a tendency towards the decrease in the indicators of vitality, both its integral and individual components, with age, and this is more pronounced in the age group of 45 years and over. Significant (p<0.01) inverse correlations have been found between the severity of depression and the social life engagement (rS=0.683), control (rS=0.668), assumption of risks (rS=0.599) and vitality (rS=0.695); between the reactive anxiety and the social engagement (rS=0.608), control (rS=0.567), assumption of risks (rS=0.520) and vitality (rS=0.651); and between personal anxiety and social engagement (rS=0.336), control (rS=0.295), assumption of risks (rS=0.208) and vitality (rS=0.339). Conclusions. Depressive disorders are accompanied by a significant decrease in the energy and vitality of the patients that impacts both the overall vitality and its components: social engagement, control, and assumption of risks. The level of vitality goes down with the age of the individuals, and is more pronounced in the aged group (45 years and over). The men demonstrate significantly lower levels of social engagement, control, and vitality in all age groups compared to the women, and a lower level of the assumption of risks in the age group 45 years and over. There have been found out moderate inverse correlations between vitality, social engagement, control, and the assumption of risk and the severity of depressive symptoms, reactive anxiety, and weak inverse correlations with personal anxiety.
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Vender, Simone, Nicola Poloni, Francesca Aletti, Cristiano Bonalumi, and Camilla Callegari. "Service Engagement: Psychopathology, Recovery Style and Treatments." Psychiatry Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/249852.

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The aim of the present study is to evaluate how recovery style, a set of strategies used by patients to interact with services and therapists, and the severity of psychotic symptoms affect the quality/continuity of taking charge of each patient. 156 psychotic patients at different stages of illness were enrolled. Sociodemographic and clinical data were collected and integration/sealing-Over Scale, Recovery Style Questionnaire and Positive and Negative Syndrome Scale were administered. Patients were distinguished into four groups according to the type of treatment received: clinical package, hospital package, day-care package, and residential package. A positive correlation between the cost of psychiatric performance and psychopathological severity (measured with PANSS scores) was identified. No association emerged between ISOS/RSQ total scores and costs. The sanitary expenditure appears to be linked to positive psychotic symptoms while lower performances are given for the treatment of patients with predominant negative symptoms. Recovery style itself has not a direct influence on the quantity/quality of psychiatric services.
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Feblowitz, J., F. L. Maloney, S. Henkin, H. Ramelson, J. Feltman, D. W. Bates, and A. Wright. "Increasing Patient Engagement: Patients’ Responses to Viewing Problem Lists Online." Applied Clinical Informatics 05, no. 04 (2014): 930–42. http://dx.doi.org/10.4338/aci-2014-07-ra-0057.

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Summary Objective: To characterize the opinions, emotions, and actions taken by patients who viewed their electronic problem list via an online personal health record (PHR). Materials and Methods: An online survey of patients who viewed their problem lists, as maintained by their healthcare provider, in a web-based PHR linked to an electronic health record for the first time. Results: A total 3,649 patients completed the survey, yielding a response rate of 42.1%. Patient attitudes towards the problem list function were positive overall, with 90.4% rating it at least somewhat useful and 86.7% reporting they would probably or definitely use it again. Nearly half (45.6%) of patients identified at least one major or minor problem missing from their list. After viewing the list, 56.1% of patients reported taking at least one action in response, with 32.4% of patients reporting that they researched a condition on the Internet, 18.3% reported that they contacted their healthcare provider and 16.7% reported changing or planning to change a health behavior (patients could report multiple actions). 64.7% of patients reported feeling at least somewhat happy while viewing their problem list, though others reported feeling sad (30.4%), worried (35.7%) or scared (23.8%) (patients could report multiple emotions). A smaller number of patients reported feeling angry (16.6%) or ashamed (14.3%). Patients who experienced an emotional response were more likely to take action. Conclusion: Overall, patients found the ability to view their problem lists very useful and took action in response to the information. However, some had negative emotions. More research is needed into optimal strategies for supporting patients receiving this information. Citation: Wright A, Feblowitz J, Maloney FL, Henkin S, Ramelson H, Feltman J, Bates DW. Increasing patient engagement: Patients’ responses to viewing problem lists online. Appl Clin Inf 2014; 5: 930–942http://dx.doi.org/10.4338/ACI-2014-07-RA-0057
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Archambault, Patrick M., Colleen McGavin, Katie N. Dainty, Shelley L. McLeod, Christian Vaillancourt, Jacques S. Lee, Jeffrey J. Perry, François-Pierre Gauvin, and Antoine Boivin. "Recommendations for patient engagement in patient-oriented emergency medicine research." CJEM 20, no. 3 (April 25, 2018): 435–42. http://dx.doi.org/10.1017/cem.2018.370.

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AbstractObjectiveTo make pragmatic recommendations on best practices for the engagement of patients in emergency medicine (EM) research.MethodsWe created a panel of expert Canadian EM researchers, physicians, and a patient partner to develop our recommendations. We used mixed methods consisting of 1) a literature review; 2) a survey of Canadian EM researchers; 3) qualitative interviews with key informants; and 4) feedback during the 2017 Canadian Association of Emergency Physicians (CAEP) Academic Symposium.ResultsWe synthesized our literature review into categories including identification and engagement, patients’ roles, perceived benefits, harms, and barriers to patient engagement; 40/75 (53% response rate) invited researchers completed our survey. Among respondents, 58% had engaged patients in research, and 83% intended to engage patients in future research. However, 95% stated that they need further guidance to engage patients. Our qualitative interviews revealed barriers to patient engagement, including the need for training and patient partner recruitment.Our panel recommends 1) an overarching positive recommendation to support patient engagement in EM research; 2) seven policy-level recommendations for CAEP to support the creation of a national patient council, to develop, adopt and adapt training material, guidelines, and tools for patient engagement, and to support increased patient engagement in EM research; and 3) nine pragmatic recommendations about engaging patients in the preparatory, execution, and translational phases of EM research.ConclusionPatient engagement can improve EM research by helping researchers select meaningful outcomes, increase social acceptability of studies, and design knowledge translation strategies that target patients’ needs.
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Felkey, Bill G., and Brent I. Fox. "Tech for Patient Engagement: Make it Personal!" Hospital Pharmacy 48, no. 4 (April 2013): 343–44. http://dx.doi.org/10.1310/hpj4804-343.

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The quest for a reformed health care system in which patients are engaged and are active participants is clearly a marathon, not a sprint. In this article, we go beyond channel management, which we addressed previously, and focus on the content of communication exchanges that you will have with patients.
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Scher, Eric, Sarah Whitehouse, Meredith Van Harn, John Bollinger, Bret Stevens, Kathy Macki, Deborah Saoud, and Kimberly Baker-Genaw. "Does physician engagement affect satisfaction of patients or resident physicians?" Journal of Healthcare Leadership Volume 11 (June 2019): 75–80. http://dx.doi.org/10.2147/jhl.s201060.

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Gill, Preetinder Singh. "Improving Health Outcomes: Applying Dimensions of Employee Engagement to Patients." International Journal of Health, Wellness, and Society 3, no. 1 (2013): 1–9. http://dx.doi.org/10.18848/2156-8960/cgp/v03i01/41037.

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Allarakhia, Minna. "Engaging patients for drug repurposing: mapping the patient engagement continuum." Clinical Investigation 5, no. 9 (September 2015): 733–37. http://dx.doi.org/10.4155/cli.15.39.

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Rodriguez, Elizabeth S. "Using Patient Portals to Increase Engagement in Patients with Cancer." Seminars in Oncology Nursing 34, no. 2 (May 2018): 177–83. http://dx.doi.org/10.1016/j.soncn.2018.03.009.

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DeCamp, Matthew, Vadim Dukhanin, Lindsay C. Hebert, Sarah Himmelrich, Scott Feeser, and Scott A. Berkowitz. "Patients’ Views About Patient Engagement and Representation in Healthcare Governance." Journal of Healthcare Management 64, no. 5 (September 2019): 332–46. http://dx.doi.org/10.1097/jhm-d-18-00152.

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Bogenschutz, Michael P., and Susan L. Siegfreid. "Factors Affecting Engagement of Dual Diagnosis Patients in Outpatient Treatment." Psychiatric Services 49, no. 10 (October 1998): 1350–52. http://dx.doi.org/10.1176/ps.49.10.1350.

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Kang, Sung-Yeon, Stephen Magura, Laura Blankertz, Elizabeth Madison, and Michael Spinelli. "Predictors of Engagement in Vocational Counseling for Methadone Treatment Patients." Substance Use & Misuse 41, no. 8 (January 2006): 1125–38. http://dx.doi.org/10.1080/10826080500411551.

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Villano, Cherie L., Andrew Rosenblum, Stephen Magura, and Chunki Fong. "Improving treatment engagement and outcomes for cocaine-using methadone patients." American Journal of Drug and Alcohol Abuse 28, no. 2 (January 1, 2002): 213–30. http://dx.doi.org/10.1081/ada-120002971.

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Aragon, Alejandro, and Peter A. Holmes. "Engagement of Patients and Staff on a Psychiatric Hospital Ward." Journal of Organizational Behavior Management 11, no. 2 (January 25, 1991): 171–88. http://dx.doi.org/10.1300/j075v11n02_10.

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Pryor, Julie, and Amanda Buzio. "Enhancing inpatient rehabilitation through the engagement of patients and nurses." Journal of Advanced Nursing 66, no. 5 (May 2010): 978–87. http://dx.doi.org/10.1111/j.1365-2648.2009.05237.x.

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Romine, Matthew, Joann Clough, Richard D. Stahl, Jayleen Grams, and Abhishek D. Parmar. "Patient Engagement Platform and Postoperative Care in Bariatric Surgery Patients." Journal of the American College of Surgeons 227, no. 4 (October 2018): e73-e74. http://dx.doi.org/10.1016/j.jamcollsurg.2018.08.198.

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Campbell, Kevin, Philip Louie, Brett Levine, and Jeremy Gililland. "Using Patient Engagement Platforms in the Postoperative Management of Patients." Current Reviews in Musculoskeletal Medicine 13, no. 4 (May 9, 2020): 479–84. http://dx.doi.org/10.1007/s12178-020-09638-8.

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Palmer, Nicholas. "Communication and engagement in kidney care." Journal of Kidney Care 5, no. 4 (July 2, 2020): 190–91. http://dx.doi.org/10.12968/jokc.2020.5.4.190.

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As kidney care has been hit by a unique set of challenges as a result of the COVID-19 pandemic, not least the halt of face-to-face interactions, healthcare professionals have had to use other channels to maintain effective engagement with patients
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Reading, Meghan, Dawon Baik, Melissa Beauchemin, Kathleen Hickey, and Jacqueline Merrill. "Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers." Applied Clinical Informatics 09, no. 04 (October 2018): 772–81. http://dx.doi.org/10.1055/s-0038-1672138.

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Background Patient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design. Objective This article investigates individual patient differences in sustained engagement among individuals with a history of AF who are self-monitoring using mHealth technology. Methods This qualitative study involved patients, health care providers, and research coordinators previously involved in a randomized, controlled trial involving electrocardiogram (ECG) self-monitoring of AF. Patients were adults with a history of AF randomized to the intervention arm of this trial who self-monitored using ECG mHealth technology for 6 months. Semistructured interviews and focus groups were conducted separately with health care providers and research coordinators, engaged patients, and unengaged patients. A validated model of sustained engagement, an adapted unified theory of acceptance and use of technology (UTAUT), guided data collection, and analysis through directed content analysis. Results We interviewed 13 patients (7 engaged, 6 unengaged), 6 providers, and 2 research coordinators. In addition to finding differences between engaged and unengaged patients within each predictor in the adapted UTAUT model (perceived ease of use, perceived usefulness, facilitating conditions), four additional factors were identified as being related to sustained engagement in this population. These are: (1) internal motivation to manage health, (2) relationship with health care provider, (3) supportive environments, and (4) feedback and guidance. Conclusion Although it required some modification, the adapted UTAUT model was useful in understanding of the parameters of sustained engagement. The findings of this study provide initial requirement specifications for the design of applications that engage patients in this unique population of adults with AF.
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