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Sims TJ, Boye KS, Robinson S, Kennedy-Martin T. Treatment-Related Attributes of Diabetes Therapies and How People with Type 2 Diabetes Report Their Impact on Indicators of Medication-Taking Behaviors. Patient Prefer Adherence 2022; 16:1919-1939. [PMID: 35958887 PMCID: PMC9359496 DOI: 10.2147/ppa.s367046] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 07/08/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Understanding the treatment-related attributes influencing medication-taking behaviors in people with type 2 diabetes (T2D) is important for delivery of patient-centered care. This review aimed to identify and summarize studies in which people with T2D (PwD) directly indicated the treatment-related attributes associated with medication-taking behaviors or intentions. Materials and Methods EMBASE and PubMed were searched for studies (Jan 2005-May 2021) reporting the link between PwD-expressed diabetes treatment-related attributes and the decision to initiate, adhere to, or discontinue a T2D medication. Eligible studies reported attributes associated with oral antidiabetes drugs or injectables (not insulin). Studies not explicitly exploring the link between attributes and indicators of behaviors (eg most discrete-choice experiments [DCE] and those interrogating electronic medical records or claims databases) were excluded, as were studies where the link between attribute and behavior came from anyone but the PwD. Results Of the 6464 studies identified, 16 were included. Studies were conducted across multiple countries; the USA was most represented (n = 8 studies). The impact of treatment attributes was described on indicators of initiation (n = 3), adherence (n = 12), and discontinuation (n = 4). Some studies evaluated multiple behaviors. PwD perspectives were solicited by structured questionnaires (n = 10), qualitative approaches (n = 4), or DCE explicitly exploring the link to medication-taking behaviors (n = 2). Closed- (n = 9) and open-ended questions (n = 7) were employed. Across studies, several factors including glycemic efficacy (n = 9), weight change (n = 9), dosing frequency (n = 9), hypoglycemia (n = 8), gastrointestinal adverse events (n = 8), regimen complexity (n = 6), route of administration (n = 3), and cardiovascular risk (n = 1) were reported as influencing behaviors, being motivators or barriers to initiation, adherence, or discontinuation. Conclusion Several attributes influence how PwD take their medications. Insights gained directly from PwD have the potential to assist stakeholders in making more informed, patient-centered, treatment decisions, thus choosing and managing medications that PwD are comfortable initiating and persisting with over the longer term.
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Hoog M, Smith JL, Yu M, Peleshok J, Mody R, Grabner M. Association of Dulaglutide Initiation Timing With Treatment Patterns and Clinical Outcomes in Patients With Type 2 Diabetes Mellitus in the United States. Clin Ther 2022; 44:873-887. [PMID: 35618571 DOI: 10.1016/j.clinthera.2022.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/01/2022] [Accepted: 04/11/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To describe clinical characteristics and treatment outcomes for early or late initiation of dulaglutide therapy in patients with type 2 diabetes. METHODS This retrospective, claims-based analysis evaluated adults with type 2 diabetes, ≥1 claim for dulaglutide 0.75 mg or 1.5 mg once-weekly injection (between November 2014 and August 2019), and no prior use of glucagon-like peptide 1 receptor agonists or insulin. Cohorts were defined based on the number of oral antidiabetic drug (OAD) classes used within the 24-month baseline period before dulaglutide therapy initiation: 1 OAD, 2 OADs, or ≥3 OADs. The number of OAD classes used before dulaglutide therapy initiation served as a proxy for timing of initiation, with a higher number of OAD classes indicating a longer duration of T2D. Baseline demographic and clinical characteristics were compared across each cohort. Six-month follow-up outcomes, including change in glycosylated hemoglobin (HbA1c) and treatment patterns, were descriptively assessed within each cohort. FINDINGS The study population consisted of 18,121 patients across the 1 OAD (n = 4822), 2 OADs (n = 6293), and ≥3 OADs (n = 7006) cohorts. Mean age at baseline was 54.7 years. Males were more prevalent in the ≥3 OADs cohort. Most patients (67%-70%) initiated treatment with dulaglutide 0.75 mg. Dose escalation to 1.5 mg was uncommon (15%-20%) but trended higher in the ≥3 OAD cohort. Adherence to dulaglutide at 6-month follow-up (61%-67%) increased with higher baseline OAD use. The HbA1c assessment (n = 3178) included 761 patients in the 1 OAD cohort, 1088 patients in the 2 OADs cohort, and 1329 patients in the ≥3 OADs cohort. Baseline mean [SD] HbA1c level increased with number of OAD classes (1 OAD: 8.18% [1.80]; 2 OADs: 8.56% [1.66]; and ≥3 OADs: 8.73% [1.51]). Patients in the early dulaglutide therapy initiator group experienced larger reductions in HbA1c levels (1 OAD: -1.39%; 95% CI, -1.50 to -1.27; 2 OADs: -1.30%; 95% CI, -1.39 to -1.20; and ≥3 OADs: -1.01%; 95% CI, -1.09 to -0.93) versus the patients in the delayed initiator group. Patients in the early dulaglutide therapy initiator group also achieved HbA1c <7% at 6-month follow-up more frequently than those in the later initiator group (1 OAD: 68%; 2 OADs: 51%; and ≥3 OADs: 33%). IMPLICATIONS Cohorts of dulaglutide therapy initiators, defined by prior OAD use as a proxy of timing of initiation, differed in their baseline characteristics and short-term follow-up outcomes. Earlier dulaglutide therapy initiation was associated with lower mean HbA1c levels and increased probability of achievement of HbA1c <7% during the 6-month follow-up period.
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Affiliation(s)
| | | | - Maria Yu
- Eli Lilly and Company, Indianapolis, Indiana
| | | | - Reema Mody
- Eli Lilly and Company, Indianapolis, Indiana
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Duncanson E, Le Leu RK, Shanahan L, Macauley L, Bennett PN, Weichula R, McDonald S, Burke ALJ, Collins KL, Chur-Hansen A, Jesudason S. The prevalence and evidence-based management of needle fear in adults with chronic disease: A scoping review. PLoS One 2021; 16:e0253048. [PMID: 34111207 PMCID: PMC8192004 DOI: 10.1371/journal.pone.0253048] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 05/27/2021] [Indexed: 11/27/2022] Open
Abstract
Background Little is known about the prevalence and best management of needle fear in adults with chronic disease, who may experience frequent and long-term exposure to needles for lifesaving therapies such as renal dialysis and cancer treatment. Identifying interventions that assist in management of needle fear and associated distress is essential to support these patients with repeated needle and cannula exposure. Method We followed the PRISMA methodology for scoping reviews and systematically searched PsychINFO, PubMed (MEDLINE), ProQuest, Embase and grey literature and reference lists between 1989 and October 2020 for articles related to needle discomfort, distress, anxiety, fear or phobia. The following chronic diseases were included: arthritis, asthma, chronic back pain, cancer, cardiovascular disease, chronic obstructive pulmonary disease, diabetes, and mental illness, or kidney failure. Literature concerning dentistry, vaccination, intravenous drug users and paediatric populations were excluded. Results We identified 32 papers reporting prevalence (n = 24), management (n = 5) or both (n = 3). Needle fear prevalence varied in disease cohorts: 17–52% (cancer), 25–47% (chronic kidney disease) and 0.2–80% (diabetes). Assessment methods varied across studies. Management strategies had poor evidence-base, but included needle-specific education, decorated devices, cognitive-behavioural stress management techniques, distraction, and changing the therapy environment or modality. Conclusion Although needle fear is common there is a paucity of evidence regarding interventions to address it among adults living with chronic disease. This scoping review has highlighted the need for improved identification of needle fear in adults and development of interventions are required for these cohorts.
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Affiliation(s)
- Emily Duncanson
- Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
| | - Richard K. Le Leu
- Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Department of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Lisa Shanahan
- Paramount Health Service, Adelaide, South Australia, Australia
| | - Luke Macauley
- Patient Partner for Central and Northern Adelaide Renal and Transplantation Service Clinical Research Group, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Paul N. Bennett
- Clinical and Health Services, University of South Australia, Adelaide, Australia
| | - Rick Weichula
- Centre for Evidence-based Practices, South Australia, Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
| | - Stephen McDonald
- Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Department of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Anne L. J. Burke
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
- Psychology Department, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Kathryn L. Collins
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
- Psychology Department, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Anna Chur-Hansen
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
| | - Shilpanjali Jesudason
- Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Department of Medicine, University of Adelaide, Adelaide, South Australia, Australia
- * E-mail:
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