scholarly journals Partner Involvement in Type 2 Diabetes Self-Management: A Mixed-Methods Investigation

2021 ◽  
pp. ds210034
Author(s):  
Vicki S. Helgeson ◽  
Fiona S. Horner ◽  
Jeanean B. Naqvi
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Self Management ◽  
Partner Involvement

scholarly journals Type 2 diabetes patients’ views on prevention of hypoglycaemia – a mixed methods study investigating self-management issues and self-identified causes of hypoglycaemia

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Stijn Crutzen ◽  
Tessa van den Born-Bondt ◽  
Petra Denig ◽  
Katja Taxis
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Food Intake ◽  
Mixed Methods Study ◽  
Self Management ◽  
Hypoglycaemic Event ◽  
Glucose Levels ◽  
Management Issues

Abstract Background Hypoglycaemia is a common and potentially avoidable adverse event in people with type 2 diabetes (T2D). It can reduce quality of life, increase healthcare costs, and reduce treatment success. We investigated self-management issues associated with hypoglycaemia and self-identified causes of hypoglycaemia in these patients. Methods In this mixed methods study qualitative semi-structured interviews were performed, which informed a subsequent quantitative survey in T2D patients. All interviews were audio recorded, transcribed verbatim and coded independently by two coders using directed content analysis, guided by the Theoretical Domains Framework. Descriptive statistics were used to quantify the self-management issues and causes of hypoglycaemia collected in the survey for the respondents that had experienced at least one hypoglycaemic event in the past. Results Sixteen participants were interviewed, aged 59–84 years. Participants perceived difficulties in managing deviations from routine, and they sometimes lacked procedural knowledge to adjust medication, nutrition or physical activity to manage their glucose levels. Grief and loss of support due to the loss of a partner interfered with self-management and lead to hypoglycaemic events. Work ethic lead some participant to overexerting themselves, which in turn lead to hypoglycaemic events. The participants had difficulties preventing hypoglycaemic events, because they did not know the cause, suffered from impaired hypoglycaemia awareness and/or did not want to regularly measure their blood glucose. When they did recognise a cause, they identified issues with nutrition, physical activity, stress or medication. In total, 40% of respondents reported regular stress as an issue, 24% reported that they regularly overestimated their physical abilities, and 22% indicated they did not always know how to adjust their medication. Around 16% of patients could not always remember whether they took their medication, and 42% always took their medication at regular times. Among the 83 respondents with at least one hypoglycaemic event, common causes for hypoglycaemia mentioned were related to physical activity (67%), low food intake (52%), deviations from routine (35%) and emotional burden (28%). Accidental overuse of medication was reported by 10%. Conclusion People with T2D experience various issues with self-managing their glucose levels. This study underlines the importance of daily routine and being able to adjust medication in relation to more physical activity or less food intake as well as the ability to reduce and manage stress to prevent hypoglycaemic events.

scholarly journals User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study (Preprint)

2020 ◽  
Author(s):  
Mary D Adu ◽  
Usman H Malabu ◽  
Aduli EO Malau-Aduli ◽  
Aaron Drovandi ◽  
Bunmi S Malau-Aduli
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Mobile App ◽  
Self Management ◽  
Promising Tool ◽  
Extended Access ◽  
Explanatory Mixed Methods ◽  
Mobile Health Apps

BACKGROUND Mobile health apps are commonly used to support diabetes self-management (DSM). However, there is limited research assessing whether such apps are able to meet the basic requirements of retaining and engaging users. OBJECTIVE This study aimed to evaluate participants’ retention and engagement with My Care Hub, a mobile app for DSM. METHODS The study employed an explanatory mixed methods design. Participants were people with type 1 or type 2 diabetes who used the health app intervention for 3 weeks. Retention was measured by completion of the postintervention survey. Engagement was measured using system log indices and interviews. Retention and system log indices were presented using descriptive statistics. Transcripts were analyzed using content analysis to develop themes interpreted according to the behavioral intervention technology theory. RESULTS Of the 50 individuals enrolled, 42 (84%) adhered to the study protocol. System usage data showed multiple and frequent interactions with the app by most of the enrolled participants (42/50, 84%). Two-thirds of participants who inputted data during the first week returned to use the app after week 1 (36/42, 85%) and week 2 (30/42, 71%) of installation. Most daily used features were tracking of blood glucose (BG; 28/42, 68%) and accessing educational information (6/42, 13%). The interview results revealed the app’s potential as a behavior change intervention tool, particularly because it eased participants’ self-care efforts and improved their engagement with DSM activities such as BG monitoring, physical exercise, and healthy eating. Participants suggested additional functionalities such as extended access to historical analytic data, automated data transmission from the BG meter, and periodic update of meals and corresponding nutrients to further enhance engagement with the app. CONCLUSIONS The findings of this short-term intervention study suggested acceptable levels of participant retention and engagement with My Care Hub, indicating that it may be a promising tool for extending DSM support and education beyond the confines of a physical clinic.

scholarly journals Patient work from a context and time use perspective: a mixed-methods study protocol

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022163
Author(s):  
Kathleen Yin ◽  
Teresa Harms ◽  
Kenneth Ho ◽  
Frances Rapport ◽  
Sanjyot Vagholkar ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Time Use ◽  
Full Range ◽  
Health Behaviours ◽  
Analysis Data ◽  
Self Management ◽  
Digital Devices ◽  
Patient Work

IntroductionSelf-management is widely promoted but less attention is focused on the work required from patients. To date, many individuals struggle to practise self-management. ‘Patient work’, a concept that examines the ‘work’ involved in self-management, is an approach to understanding the tasks, effort, time and context from patient perspective. The purpose of our study is to use a novel approach combining non-obstructive observations via digital devices with in-depth qualitative data about health behaviours and motivations, to capture the full range of patient work experienced by people with type 2 diabetes and chronic comorbidities. It aims to yield comprehensive insights about ‘what works’ in self-management, potentially extending to populations with other chronic health conditions.Methods and analysisThis mixed-methods observational study involves a (1) prestudy interview and questionnaires, (2) a 24-hour period during which participants wear a camera and complete a time-use diary, and a (3) poststudy interview and study feedback. Adult participants living with type 2 diabetes with at least one chronic comorbidity will be recruited using purposive sampling to obtain a balanced gender ratio and of participants using insulin and those using only oral medication. Interviews will be analysed using thematic analysis. Data captured by digital devices, diaries and questionnaires will be used to analyse the duration, time, context and patterns of health-related behaviours.Ethics and disseminationThe study was approved by the Macquarie University Human Research Ethics Committee for Medical Sciences (reference number 5201700718). Participants will carry a wallet-sized card that explains the purpose of the study to third parties, and can remove the camera at any stage. Before the poststudy interview begins, participants will view the camera images in private and can delete any images. Should any images be used in future publications or presentations, identifying features such as human faces and names will be obscured.

scholarly journals Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study (Preprint)

2019 ◽  
Author(s):  
Shaira Baptista ◽  
Greg Wadley ◽  
Dominique Bird ◽  
Brian Oldenburg ◽  
Jane Speight ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Qualitative Data ◽  
Management Education ◽  
Qualitative Interviews ◽  
User Preferences ◽  
Self Management ◽  
Conversational Agents ◽  
Motivational Support

BACKGROUND Embodied conversational agents (ECAs) are increasingly used in health care apps; however, their acceptability in type 2 diabetes (T2D) self-management apps has not yet been investigated. OBJECTIVE This study aimed to evaluate the acceptability of the ECA (Laura) used to deliver diabetes self-management education and support in the My Diabetes Coach (MDC) app. METHODS A sequential mixed methods design was applied. Adults with T2D allocated to the intervention arm of the MDC trial used the MDC app over a period of 12 months. At 6 months, they completed questions assessing their interaction with, and attitudes toward, the ECA. In-depth qualitative interviews were conducted with a subsample of the participants from the intervention arm to explore their experiences of using the ECA. The interview questions included the participants’ perceptions of Laura, including their initial impression of her (and how this changed over time), her personality, and human character. The quantitative and qualitative data were interpreted using integrated synthesis. RESULTS Of the 93 intervention participants, 44 (47%) were women; the mean (SD) age of the participants was 55 (SD 10) years and the baseline glycated hemoglobin A1c level was 7.3% (SD 1.5%). Overall, 66 of the 93 participants (71%) provided survey responses. Of these, most described Laura as being helpful (57/66, 86%), friendly (57/66, 86%), competent (56/66, 85%), trustworthy (48/66, 73%), and likable (40/66, 61%). Some described Laura as not real (18/66, 27%), boring (26/66, 39%), and annoying (20/66, 30%). Participants reported that interacting with Laura made them feel more motivated (29/66, 44%), comfortable (24/66, 36%), confident (14/66, 21%), happy (11/66, 17%), and hopeful (8/66, 12%). Furthermore, 20% (13/66) of the participants were frustrated by their interaction with Laura, and 17% (11/66) of the participants reported that interacting with Laura made them feel guilty. A total of 4 themes emerged from the qualitative data (N=19): (1) perceived role: a friendly coach rather than a health professional; (2) perceived support: emotional and motivational support; (3) embodiment preference acceptability of a human-like character; and (4) room for improvement: need for greater congruence between Laura’s words and actions. CONCLUSIONS These findings suggest that an ECA is an acceptable means to deliver T2D self-management education and support. A human-like character providing ongoing, friendly, nonjudgmental, emotional, and motivational support is well received. Nevertheless, the ECA can be improved by increasing congruence between its verbal and nonverbal communication and accommodating user preferences. CLINICALTRIAL Australian New Zealand Clinical Trials Registry CTRN12614001229662; https://tinyurl.com/yxshn6pd

scholarly journals EatSmart, a Web-Based and Mobile Healthy Eating Intervention for Disadvantaged People With Type 2 Diabetes: Protocol for a Pilot Mixed Methods Intervention Study

10.2196/19488 ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. e19488
Author(s):  
Nazgol Karimi ◽  
David Crawford ◽  
Rachelle Opie ◽  
Ralph Maddison ◽  
Stella O’Connell ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Behavior Change ◽  
Healthy Eating ◽  
Trial Registration ◽  
Self Management ◽  
Web Based ◽  
Disadvantaged People

Background People of low socioeconomic position (SEP) are disproportionately affected by type 2 diabetes (T2D), partly due to unhealthy eating patterns that contribute to inadequate disease self-management and prognosis. Digital technologies have the potential to provide a suitable medium to facilitate diabetes education, support self-management, and address some of the barriers to healthy eating, such as lack of nutritional knowledge or shopping or cooking skills, in this target group. Objective This study aims to test the feasibility, appeal, and potential effectiveness of EatSmart, a 12-week, evidence-based, theoretically grounded, fully automated web-based and mobile-delivered healthy eating behavior change program to help disadvantaged people living with T2D to eat healthily on a budget and improve diabetes self-management. Methods EatSmart is a mixed methods (quantitative and qualitative) pre-post design pilot study. Sixty socioeconomically disadvantaged people with T2D aged 18 to 75 years will be recruited. Participants will complete self-reported baseline assessments of their basic demographic and clinical data, dietary intake, dietary self-efficacy, and barriers to healthy eating. They will be provided with login access to the EatSmart web program, which includes six progressive skill-based modules covering healthy eating planning; smart food budgeting and shopping; time-saving meal strategies, healthy cooking methods, modifying recipes; and a final reinforcement and summary module. Over the 3-month intervention, participants will also receive 3 text messages weekly, encouraging them to review goals, continue to engage with different components of the EatSmart web program, and eat healthily. Participants will undertake follow-up assessments directly following the intervention 3 months post baseline and again after a 6-month postintervention follow-up period (9 months post baseline). Feasibility will be evaluated using the number of participants recruited and retained and objective indicators of engagement with the website. Program appeal and potential effects on primary and secondary outcomes will be assessed via the same surveys used at baseline, with additional questions asking about experience with and perceptions of the program. In-depth qualitative interviews will also be conducted 6 months post intervention to provide deeper insight into experiences with EatSmart and a more comprehensive description of the program’s appeal. Results The EatSmart website has been developed, and all participants have viewed the modules as of May 2020. Results are expected to be submitted for publication in December 2020. Conclusions This study will provide data to address the currently limited evidence regarding whether disadvantaged populations with T2D may benefit from digitally delivered behavior change programs that facilitate eating healthily on a budget. Trial Registration Australian New Zealand Clinical Trials Registry, ACTRN12619001111167; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12619001111167 International Registered Report Identifier (IRRID) DERR1-10.2196/19488

scholarly journals Partner Involvement in Type 2 Diabetes Self-Management: A Mixed-Methods Investigation

2021 ◽  
Author(s):  
Vicki S. Helgeson ◽  
Fiona S. Horner ◽  
Jeanean B. Naqvi
Keyword(s):  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Relationship Quality ◽  
Diabetes Management ◽  
Partner Support ◽  
Management Support ◽  
Diabetes Outcomes ◽  
Controlling Behavior ◽  
Partner Involvement

Researchers have recognized the role of social environment in diabetes management, with substantial attention directed toward spouses or romantic partners of people with diabetes. However, the specific ways in which partners are involved have not been articulated. This study, which included 207 couples in which one person was recently diagnosed with type 2 diabetes, used a mixed-methods approach to assess types of partner involvement in diabetes management. First, different types of partner involvement were qualitatively identified from audiotaped interviews, and links between qualitative findings and demographics were examined. Next, qualitative codes were compared to quantitative measures of partner involvement. Finally, relations of qualitative codes to relationship quality and diabetes outcomes were assessed. Qualitative analyses identified three ways in which partners were involved in diabetes management (support provision, collaboration, and controlling behavior) and two ways in which they were not involved (independent coping and disengagement on the part of the person with diabetes). Participants with diabetes perceived less partner involvement than their partners. Comparisons with quantitative measures revealed that collaboration was distinct from partner support. Reports from participants with diabetes of collaboration, but not partner support, were connected to higher relationship quality and lower A1C, whereas partner reports of collaboration were related to better self-care. Diabetes disengagement was associated with poorer relationship and behavioral outcomes. These findings underscore the varied ways in which partners are and are not involved in diabetes management and suggest that collaboration is more beneficial than social support in terms of relationship quality and diabetes outcomes.

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