32 research outputs found
Associations of clinical, psychological, and sociodemographic characteristics and ecological momentary assessment completion in the 10-week Hypo- METRICS study:Hypoglycaemia MEasurements ThResholds and ImpaCtS
Introduction: Reporting of hypoglycaemia and its impact in clinical studies is often retrospective and subject to recall bias. We developed the Hypo-METRICS app to measure the daily physical, psychological, and social impact of hypoglycaemia in adults with type 1and insulin-treated type 2 diabetes in real-time using ecological momentary assessment(EMA). To help assess its utility, we aimed to determine Hypo-METRICS app completion rates and factors associated with completion.Methods: Adults with diabetes recruited into the Hypo-METRICS study were given validated patient-reported outcome measures (PROMs) at baseline. Over 10 weeks, they wore a blinded continuous glucose monitor (CGM), and were asked to complete three daily EMAs about hypoglycaemia and aspects of daily functioning, and two weekly sleep and productivity PROMs on the bespoke Hypo-METRICS app. We conducted linear regression to determine factors associated with app engagement, assessed by EMA and PROM completion rates and CGM metrics.Results: In 602 participants (55% men; 54% type 2 diabetes; median(IQR) age 56 (45-66)years; diabetes duration 19 (11-27) years; HbA1c 57 (51-65) mmol/mol), median(IQR)overall app completion rate was 91 (84-96)%, ranging from 90 (81-96)%, 89 (80-94)% and94(87-97)% for morning, afternoon and evening check-ins, respectively. Older age, routine CGM use, greater time below 3.0 mmol/L, and active sensor time were positively associated with app completion.Discussion: High app completion across all app domains and participant characteristics indicates the Hypo-METRICS app is an acceptable research tool for collecting detailed data on hypoglycaemia frequency and impact in real-time
Associations of clinical, psychological, and sociodemographic characteristics and ecological momentary assessment completion in the 10-week Hypo- METRICS study:Hypoglycaemia MEasurements ThResholds and ImpaCtS
Introduction: Reporting of hypoglycaemia and its impact in clinical studies is often retrospective and subject to recall bias. We developed the Hypo-METRICS app to measure the daily physical, psychological, and social impact of hypoglycaemia in adults with type 1and insulin-treated type 2 diabetes in real-time using ecological momentary assessment(EMA). To help assess its utility, we aimed to determine Hypo-METRICS app completion rates and factors associated with completion.Methods: Adults with diabetes recruited into the Hypo-METRICS study were given validated patient-reported outcome measures (PROMs) at baseline. Over 10 weeks, they wore a blinded continuous glucose monitor (CGM), and were asked to complete three daily EMAs about hypoglycaemia and aspects of daily functioning, and two weekly sleep and productivity PROMs on the bespoke Hypo-METRICS app. We conducted linear regression to determine factors associated with app engagement, assessed by EMA and PROM completion rates and CGM metrics.Results: In 602 participants (55% men; 54% type 2 diabetes; median(IQR) age 56 (45-66)years; diabetes duration 19 (11-27) years; HbA1c 57 (51-65) mmol/mol), median(IQR)overall app completion rate was 91 (84-96)%, ranging from 90 (81-96)%, 89 (80-94)% and94(87-97)% for morning, afternoon and evening check-ins, respectively. Older age, routine CGM use, greater time below 3.0 mmol/L, and active sensor time were positively associated with app completion.Discussion: High app completion across all app domains and participant characteristics indicates the Hypo-METRICS app is an acceptable research tool for collecting detailed data on hypoglycaemia frequency and impact in real-time
Associations Between Hypoglycemia Awareness Status and Symptoms of Hypoglycemia Among Adults with Type 1 or Insulin-Treated Type 2 Diabetes Using the Hypo-METRICS Smartphone Application
Introduction: This study examined associations between hypoglycemia awareness status and hypoglycemia symptoms reported in real-time using the novel Hypoglycaemia-MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone application (app) among adults with insulin-treated type 1 (T1D) or type 2 diabetes (T2D). Methods: Adults who experienced at least one hypoglycemic episode in the previous 3 months were recruited to the Hypo-METRICS study. They prospectively reported hypoglycemia episodes using the app for 10 weeks. Any of eight hypoglycemia symptoms were considered present if intensity was rated between "A little bit" to "Very much" and absent if rated "Not at all." Associations between hypoglycemia awareness (as defined by Gold score) and hypoglycemia symptoms were modeled using mixed-effects binary logistic regression, adjusting for glucose monitoring method and diabetes duration. Results: Of 531 participants (48% T1D, 52% T2D), 45% were women, 91% white, and 59% used Flash or continuous glucose monitoring. Impaired awareness of hypoglycemia (IAH) was associated with lower odds of reporting autonomic symptoms than normal awareness of hypoglycemia (NAH) (T1D odds ratio [OR] 0.43 [95% confidence interval {CI} 0.25-0.73], P = 0.002); T2D OR 0.51 [95% CI 0.26-0.99], P = 0.048), with no differences in neuroglycopenic symptoms. In T1D, relative to NAH, IAH was associated with higher odds of reporting autonomic symptoms at a glucose concentration <54 than >70 mg/dL (OR 2.18 [95% CI 1.21-3.94], P = 0.010). Conclusion: The Hypo-METRICS app is sensitive to differences in hypoglycemia symptoms according to hypoglycemia awareness in both diabetes types. Given its high ecological validity and low recall bias, the app may be a useful tool in research and clinical settings. The clinical trial registration number is NCT04304963.</p
Linking Citizens to Government: Interest Group Politics at Common Cause. By Lawrence S. Rothenberg. New York: Cambridge University Press, 1992. 306p. 18.95 paper.
The Impact of Voluntary Association Entry on Political Participation of the University Professors: With a Focus on Educational Policy Acceptability and Trust in Educational Institutions
Public Interest Group Entrepreneurship and Theories of Group Mobilization
The bulk of the literature on group mobilization focuses on why individuals join groups and virtually ignores the group leader (entrepreneur). Thus, we argue that there is a gap in the literature on group development: while entrepreneurs are critical in the process of group mobilization, little is known about what they do and why and how they do it. Studies of group mobilization continue to focus on group supporters — the patrons and members who provide groups with the resources they need. We take a different approach. We examine the process of group mobilization from the perspective of the entrepreneur. Utilizing data from a survey of public interest group founders we test the effectiveness of three theories of group formation. Our analysis leads to four basic conclusions: We should reject any strong version of Jack Walker\u27s argument about the importance of patrons in group mobilization. While many public interest groups do form at the behest of patrons, most do not. Most public interest groups form because aggressive, independent entrepreneurs form them. The large number of groups which cannot trace their origins to patrons or disturbances attests to the importance of entrepreneurs in group formation. Many public interest group founders form groups in response to specific and easily identifiable events or series of events. Disturbances may not spur individuals to join groups, but they play an important role in stimulating entrepreneurial activity. The free-rider problem is not operative for most groups just starting out. Our data suggest that individuals-especially entrepreneurs and their friends-are the driving force behind public interest group formation