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Walsh EA, Post K, Massad K, Horick N, Antoni MH, Penedo FJ, Safren SA, Partridge AH, Peppercorn J, Park ER, Temel JS, Greer JA, Jacobs JM. Identification of patient subgroups who benefit from a behavioral intervention to improve adjuvant endocrine therapy adherence: a randomized-controlled trial. Breast Cancer Res Treat 2024; 204:547-559. [PMID: 38231313 DOI: 10.1007/s10549-023-07228-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/11/2023] [Indexed: 01/18/2024]
Abstract
PURPOSE Adjuvant endocrine therapy (AET) reduces breast cancer morbidity and mortality; however, adherence is suboptimal. Interventions exist, yet few have improved adherence. Patient characteristics may alter uptake of an intervention to boost adherence. We examined moderators of the effect of a virtual intervention (STRIDE; #NCT03837496) on AET adherence after breast cancer. METHODS At a large academic medical center, patients taking AET (N = 100; Mage = 56.1, 91% White) were randomized to receive STRIDE versus medication monitoring. All stored their medication in digital pill bottles (MEMS Caps) which captured objective adherence. Participants self-reported adherence (Medication Adherence Report Scale) at 12 weeks post-baseline. Moderators included age, anxiety, and depressive symptoms (Hospital Anxiety and Depression Scale), AET-related symptom distress (Breast Cancer Prevention Trial Symptom Scale), and AET-specific concerns (Beliefs about Medications Questionnaire). We used hierarchical linear modeling (time × condition × moderator) and multiple regression (condition × moderator) to test the interaction effects on adherence. RESULTS Age (B = 0.05, SE = 0.02, p = 0.003) and AET-related symptom distress (B = -0.04, SE = 0.02, p = 0.02) moderated condition effect on self-reported adherence while anxiety (B = -1.20, SE = 0.53, p = 0.03) and depressive symptoms (B = -1.65, SE = 0.65, p = 0.01) moderated objective adherence effects. AET-specific concerns approached significance (B = 0.91, SE = 0.57, p = 0.12). Participants who received STRIDE and were older or presented with lower anxiety and depressive symptoms or AET-related symptom distress exhibited improved adherence. Post hoc analyses revealed high correlations among most moderators. CONCLUSIONS A subgroup of patients who received STRIDE exhibited improvements in AET adherence. The interrelatedness of moderators suggests an underlying profile of patients with lower symptom burden who benefitted most from the intervention. STUDY REGISTRATION NCT03837496.
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Affiliation(s)
- Emily A Walsh
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor, Coral Gables, FL, 33146, USA.
| | - Kathryn Post
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Katina Massad
- University of Missouri School of Medicine, Columbia, MO, USA
| | - Nora Horick
- Massachusetts General Hospital, Boston, MA, USA
| | - Michael H Antoni
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor, Coral Gables, FL, 33146, USA
| | - Frank J Penedo
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor, Coral Gables, FL, 33146, USA
| | - Steven A Safren
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor, Coral Gables, FL, 33146, USA
| | - Ann H Partridge
- Harvard Medical School, Boston, MA, USA
- Dana Farber Cancer Institute, Boston, MA, USA
| | - Jeffrey Peppercorn
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Elyse R Park
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jennifer S Temel
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Joseph A Greer
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jamie M Jacobs
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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Liu Q, Wang H, Liu A, Jiang C, Li W, Ma H, Geng Q. Adherence to prescribed antihypertensive medication among patients with depression in the United States. BMC Psychiatry 2022; 22:764. [PMID: 36471355 PMCID: PMC9720997 DOI: 10.1186/s12888-022-04424-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 11/25/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Hypertensive patients with depression have a higher mortality rate and a worse prognosis compared with hypertensive only. Depression may reduce medication adherence in hypertension patients. METHODS This study includes respondents in the National Health and Nutritional Examination Survey (NHANES) database from 2005 to 2018 who had previously been diagnosed with hypertension. Medication adherence was defined as taking medication as recommended by a physician. The depressive state was assessed using the patient health questionnaire (PHQ)-9. RESULTS Nine thousand one hundred eighty-six respondents were included in the analysis. Medication adherence was associated with depression (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.26 to1.75) and depression score (OR: 1.04 per each point increase, 1.03 to 1.05) in the unadjusted analyses. After adjusting for clinical and socioeconomic/demographic factors, there were significant statistical correlations between depression score and medication adherence (aOR: 1.02 per each point increase, 1.00 to 1.03, p < 0.05), but there was no significant statistical correlation between depression and medication adherence (p > 0.05). It was still statistically significant relationships between sex, age, body mass index (BMI), race, marital status, and health insurance with medication adherence after adjusted socioeconomic/demographic factors. CONCLUSION Depression was marginally associated with poor medication adherence in hypertensive patients, and the correlation increased with depression degree. Moreover, socioeconomic/demographic factors have an independent impact on medication adherence including sex, age, BMI, race, marital status, and health insurance.
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Affiliation(s)
- Quanjun Liu
- grid.410643.4Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510006 Guangdong China
| | - Haochen Wang
- grid.410643.4Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong China
| | - Anbang Liu
- grid.410643.4Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510006 Guangdong China
| | - Cheng Jiang
- grid.410643.4Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong China
| | - Weiya Li
- grid.410643.4Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong China
| | - Huan Ma
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong, China.
| | - Qingshan Geng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan er Road, Guangzhou, Guangdong, China. .,School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China. .,Shenzhen People's Hospital, No. 1017, Dongmen North Road, Shenzhen, 518000, Guangdong, China.
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Hooker SA, O’Connor PJ, Sperl-Hillen JM, Crain AL, Ohnsorg K, Kane S, Rossom R. Depression and cardiovascular risk in primary care patients. J Psychosom Res 2022; 158:110920. [PMID: 35461074 PMCID: PMC9237849 DOI: 10.1016/j.jpsychores.2022.110920] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 04/12/2022] [Accepted: 04/12/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE This study assessed the relationship of both depression diagnosis and clinically significant depressive symptoms with individual cardiovascular risk factors and estimated total cardiovascular risk in primary care patients. METHODS This study used a cross-sectional and retrospective design. Patients who had a primary care encounter between January 2016 and September 2018 and completed depression screening (PHQ-9) during the year prior to their appointment (N = 70,980) were included in this study. Data examining estimated total cardiovascular risk, specific cardiovascular risk factors, and relevant clinical diagnoses (including depression diagnosis) were extracted from the electronic health record. Patients were categorized into three groups: no depression (PHQ-9 < 10 and no depression diagnosis), controlled depression (PHQ-9 < 10 with previous depression diagnosis), and current depression (PHQ-9 ≥ 10). Groups were compared on estimated total risk and specific cardiovascular risk factors (e.g., body mass index [BMI], smoking status, lipids, blood pressure, and glucose). RESULTS In adjusted analyses, patients with current depression (n = 18,267) demonstrated significantly higher 10-year and 30-year cardiovascular risk compared to patients with controlled depression (n = 33,383; 10-year: b = 0.59 [95% CI = 0.44,0.74]; 30-year: OR = 1.32 [95% CI = 1.26,1.39]) and patients without depression (n = 19,330; 10-year: b = 0.55 [95% CI = 0.37,0.73]; 30-year: OR = 1.56 [95% CI = 1.48,1.65]). Except for low-density lipoprotein (LDL), patients with current depression had the greatest cardiovascular risk across specific risk factors. CONCLUSIONS Individuals who had a depression diagnosis and clinically significant depressive symptoms had the greatest cardiovascular risk. Pathways to prevent cardiovascular disease in those with depression might focus on treating depressive symptoms as well as specific uncontrolled cardiovascular risk factors.
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Affiliation(s)
- Stephanie A. Hooker
- Corresponding author at: HealthPartners Institute, 8170 33rd Ave S, MS21112R, Minneapolis, MN 55425, United States of America. (S.A. Hooker)
| | | | | | | | - Kris Ohnsorg
- HealthPartners Institute, Research and Evaluation Division, Minneapolis, MN, United States of America.
| | - Sheryl Kane
- HealthPartners Institute, Research and Evaluation Division, Minneapolis, MN, United States of America.
| | - Rebecca Rossom
- HealthPartners Institute, Research and Evaluation Division, Minneapolis, MN, United States of America.
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Teppo K, Jaakkola J, Airaksinen KEJ, Biancari F, Halminen O, Putaala J, Mustonen P, Haukka J, Hartikainen J, Luojus A, Niemi M, Linna M, Lehto M. Mental health conditions and adherence to direct oral anticoagulants in patients with incident atrial fibrillation: A nationwide cohort study. Gen Hosp Psychiatry 2022; 74:88-93. [PMID: 34999528 DOI: 10.1016/j.genhosppsych.2021.12.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/18/2021] [Accepted: 12/29/2021] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Medication adherence is essential for effective stroke prevention in patients with atrial fibrillation (AF). We aimed to assess whether adherence to direct oral anticoagulants (DOACs) in AF patients is affected by the presence of mental health conditions (MHCs). METHODS The nationwide FinACAF cohort covered 74,222 AF patients from all levels of care receiving DOACs during 2011-2018 in Finland. Medication possession ratio (MPR) was used to quantify adherence. Patients with MPR ≥0.90 were defined adherent. MHCs of interest were depression, bipolar disorder, anxiety disorder and schizophrenia. RESULTS The patients' (mean age 75.4 ± 9.5 years, 50.8% female) mean MPR was 0.84 (SD 0.22), and 59.5% had MPR ≥0.90. Compared to patients without MHC, the adjusted ORs (95% CI) for adherent DOAC use emerged slightly lower in patients with depression (0.92 (0.84-0.99)) and bipolar disorder (0.77 (0.61-0.97)) and unsignificant in patients with anxiety disorder (1.08 (0.96-1.21)) and schizophrenia (1.13 (0.90-1.43)). However, when only persistent DOAC therapy was analyzed, no MHC was associated with poor adherence, and instead anxiety disorder was associated with adherent DOAC use (1.18 (1.04-1.34)). CONCLUSION Adherence to DOACs in AF patients in Finland was relatively high, and no meaningful differences between patients with and without MHCs were observed.
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Affiliation(s)
| | - Jussi Jaakkola
- University of Turku, Turku, Finland; Heart Center, Turku University Hospital, Turku, Finland; Heart Unit, Satakunta Central Hospital, Pori, Finland
| | - K E Juhani Airaksinen
- University of Turku, Turku, Finland; Heart Center, Turku University Hospital, Turku, Finland
| | - Fausto Biancari
- Clinica Montevergine, GVM Care & Research, Mercogliano, Italy; Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | | | - Jukka Putaala
- Neurology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Pirjo Mustonen
- University of Turku, Turku, Finland; Heart Center, Turku University Hospital, Turku, Finland
| | | | - Juha Hartikainen
- University of Eastern Finland, Kuopio, Finland; Heart Center, Kuopio University Hospital, Kuopio, Finland
| | - Alex Luojus
- University of Helsinki, Helsinki, Finland; Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland; Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland; Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Miika Linna
- Aalto University, Espoo, Finland; University of Eastern Finland, Kuopio, Finland
| | - Mika Lehto
- University of Helsinki, Helsinki, Finland; Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland; Lohja Hospital, Department of Internal Medicine, Lohja, Finland
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