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Deegan EM, Saunders A, Wilson NJ, McCann D. Cardio-pulmonary-resuscitation for people who use a wheelchair and/or have an atypical chest shape: an educational intervention. Disabil Rehabil 2022; 45:1572-1579. [PMID: 35438592 DOI: 10.1080/09638288.2022.2062464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
PURPOSE To determine the impact of the addition of information specific to people with atypical chest shapes and/or in a wheelchair during mandatory CPR classes on staff confidence to respond to emergency scenarios with these populations. MATERIALS AND METHODS A pre-test post-test intervention study was conducted with staff from one of the largest disability organisations in Tasmania, Australia. Supplemented CPR and BLS classes were presented to participants. A purpose-designed questionnaire was completed pre, post, and six-months post after the training. RESULTS A significant rise in confidence post-training was demonstrated, and this was retained at the six-month time point. Time spent in the disability sector before the supplemented training or attendance at previous standard CPR classes did not have a significant effect on confidence levels before the supplemented training. CONCLUSIONS Confidence is closely linked to willingness to act during emergency situations. Improved confidence may therefore result in improved willingness to act for people with disability, atypical chest shapes, and wheelchair users, thus improving health outcomes for these populations and providing this cohort with access to more equitable healthcare.IMPLICATIONS FOR REHABILITATIONGuidelines for undertaking CPR and BLS on people with atypical chest shapes and/or in a wheelchair are not currently available.Including information specific to people with atypical chest shapes and/or in a wheelchair during mandatory CPR classes increases staff confidence to respond to such situations.Supplementary disability-specific information can be successfully incorporated into existing CPR and BLS training.
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Affiliation(s)
- Elisha M Deegan
- School of Nursing, University of Tasmania, Newnham, Australia
| | | | - Nathan J Wilson
- School of Nursing and Midwifery, Western Sydney University, Richmond, Australia
| | - Damhnat McCann
- School of Nursing, University of Tasmania, Newnham, Australia
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Zhang J, Ye C. Factors associated with loss to follow-up of outpatients with depression in general hospitals. J Int Med Res 2021; 48:300060520925595. [PMID: 32466739 PMCID: PMC7263137 DOI: 10.1177/0300060520925595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Objective We aimed to understand the reasons behind outpatient loss to follow-up and the views of Chinese patients with depression regarding disease diagnosis and antidepressant therapy. Methods Consecutive outpatients with newly diagnosed depressive disorder between September 2012 and August 2013 at the Shanghai First People’s Hospital (a tertiary hospital) were categorized into follow-up and lost-to-follow-up groups. We collected information on demographics, the Hamilton depression (HAMD) scale, Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale, and Symptom Checklist-90. Patients were routinely followed at 2, 4, 8, and 12 weeks. Any missed appointment was considered lost to follow-up. Results After 12 weeks of treatment, only 42.2% (70/166) of patients were continuing follow-up. Patients lost to follow-up were significantly younger (median, 42.5 vs. 56.5 years), had different marital status, higher education level, higher SDS score (43.8 ± 10.8 vs. 40.2 ± 10.9), and higher HAMD score (median, 21 vs. 19). Age (odds ratio (OR) = 0.97, 95% confidence interval (CI): 0.95–0.997), and HAMD score (OR = 1.14, 95% CI: 1.01–1.29) were independently associated with loss to follow-up. Conclusion Young age, higher HAMD score, and poor knowledge of depression and treatment were the main factors associated with loss to follow-up during depression management among our Chinese patients.
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Affiliation(s)
- Jingjing Zhang
- Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenyu Ye
- Psychology Medicine, Zhongshan Hospital Fudan University, Shanghai, China
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Kim H, Cutter GR, George B, Chen Y. Understanding and Preventing Loss to Follow-up: Experiences From the Spinal Cord Injury Model Systems. Top Spinal Cord Inj Rehabil 2018; 24:97-109. [PMID: 29706754 DOI: 10.1310/sci2402-97] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background: One of the most critical threats to the validity of any longitudinal research is the bias caused by study attrition. Prevention efforts should be focused on those individuals at high risk of non-participation to improve the generalizability of study findings. Objective: To identify demographic and clinical factors associated with loss to follow-up (FU) at post-injury years 1 to 35 among 25,871 people with spinal cord injury (SCI) enrolled in the National Spinal Cord Injury Database. Methods: Loss to FU was defined as no research information obtained from participants who were eligible for the planned data collection. Generalized linear mixed models were used for analysis of factors at each post-injury year. Results: The loss to FU rates were 23.1% and 32.9% for post-injury years 1 and 5, respectively, and remained >40% between post-injury years 20 and 35. The FU rate varied by study sites and was improved in recent injury cohorts. People who were more seriously injured and those who attained higher levels of education were more likely to return for FU than their counterparts. People who were at risk of being marginalized in society (non-whites, those with less education, the unemployed, victims of violence, and those with no health insurance) had the highest odds of being lost to FU across all post-injury years. Conclusion: These findings can be used to identify individuals who are less likely to participate in follow-up, which may allow targeted attention to improve their response rate.
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Affiliation(s)
- Hwasoon Kim
- Clinical Trial Statistics, Duke Clinical Research Institute, Durham, North Carolina
| | - Gary R Cutter
- Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Brandon George
- College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Yuying Chen
- Department of Physical Medicine & Rehabilitation, University of Alabama at Birmingham, Birmingham, Alabama
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Heins SE, Wozniak AW, Colantuoni E, Sepulveda KA, Mendez-Tellez PA, Dennison-Himmelfarb C, Needham DM, Dinglas VD. Factors associated with missed assessments in a 2-year longitudinal study of acute respiratory distress syndrome survivors. BMC Med Res Methodol 2018; 18:55. [PMID: 29907087 PMCID: PMC6003179 DOI: 10.1186/s12874-018-0508-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 05/09/2018] [Indexed: 01/17/2023] Open
Abstract
Background To evaluate participant-related variables associated with missing assessment(s) at follow-up visits during a longitudinal research study. Methods This is a prospective, longitudinal, multi-site study of 196 acute respiratory distress syndrome (ARDS) survivors. More than 30 relevant sociodemographic, physical status, and mental health variables (representing participant characteristics prior to ARDS, at hospital discharge, and at the immediately preceding follow-up visit) were evaluated for association with missed assessments at 3, 6, 12, and 24-month follow-up visits (89–95% retention rates), using binomial logistic regression. Results Most participants were male (56%), white (58%), and ≤ high school education (64%). Sociodemographic characteristics were not associated with missed assessments at the initial 3-month visit or subsequent visits. The number of dependencies in Activities of Daily Living (ADLs) at hospital discharge was associated with higher odds of missed assessments at the initial visit (OR: 1.26, 95% CI: 1.12, 1.43). At subsequent 6-, 12-, and 24 months visits, post-hospital discharge physical and psychological status were not associated with subsequent missed assessments. Instead, the following were associated with lower odds of missed assessments: indicators of poorer health prior to hospital admission (inability to walk 5 min (OR: 0.46; 0.23, 0.91), unemployment due to health (OR: 0.47; 0.23, 0.96), and alcohol abuse (OR: 0.53; 0.28, 0.97)) and having the preceding visit at the research clinic rather than at home/facility, or by phone/mail (OR: 0.54; 0.31, 0.96). Inversely, variables associated with higher odds of missed assessments at subsequent visits include: functional dependency prior to hospital admission (i.e. dependency with > = 2 Instrumental Activities of Daily Living (IADLs) (OR: 1.96; 1.08, 3.52), and missing assessments at preceding visit (OR: 2.26; 1.35, 3.79). Conclusions During the recovery process after hospital discharge, dependencies in physical functioning (e.g. ADLs, IADLs) prior to hospitalization and at hospital discharge were associated with higher odds of missed assessments. Conversely, other indicators of poorer health at baseline were associated with lower odds of missed assessments after the initial post-discharge visit. To reduce missing assessments, longitudinal clinical research studies may benefit from focusing additional resources on participants with dependencies in physical functioning prior to hospitalization and at hospital discharge. Electronic supplementary material The online version of this article (10.1186/s12874-018-0508-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sara E Heins
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Amy W Wozniak
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth Colantuoni
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristin A Sepulveda
- Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, 1830 E. Monument Street, 5th floor, Baltimore, MD, 21287, USA
| | - Pedro A Mendez-Tellez
- Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Cheryl Dennison-Himmelfarb
- Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins University School of Nursing, Johns Hopkins University, Baltimore, MD, USA.,Johns Hopkins Institute for Clinical and Translational Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Dale M Needham
- Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, 1830 E. Monument Street, 5th floor, Baltimore, MD, 21287, USA.,Department of Physical Medicine and Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Victor D Dinglas
- Outcomes After Critical Illness and Surgery Group, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, 1830 E. Monument Street, 5th floor, Baltimore, MD, 21287, USA.
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Kiriazova T, Cheng DM, Coleman SM, Blokhina E, Krupitsky E, Lira MC, Bridden C, Raj A, Samet JH. Factors associated with study attrition among HIV-infected risky drinkers in St. Petersburg, Russia. HIV CLINICAL TRIALS 2014; 15:116-25. [PMID: 24947535 DOI: 10.1310/hct1503-116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Participant attrition in HIV longitudinal studies may introduce bias and diminish research quality. The identification of participant characteristics that are predictive of attrition might inform retention strategies. OBJECTIVE The study aimed to identify factors associated with attrition among HIV-infected Russian risky drinkers from the secondary HIV prevention HERMITAGE trial. We examined whether current injection drug use (IDU), binge drinking, depressive symptoms, HIV status nondisclosure, stigma, and lifetime history of incarceration were predictors of study attrition. We also explored effect modification due to gender. METHODS Complete loss to follow-up (LTFU), defined as no follow-up visits after baseline, was the primary outcome, and time to first missed visit was the secondary outcome. We used multiple logistic regression models for the primary analysis, and Cox proportional hazards models for the secondary analysis. RESULTS Of 660 participants, 101 (15.3%) did not return after baseline. No significant associations between independent variables and complete LTFU were observed. Current IDU and HIV status nondisclosure were significantly associated with time to first missed visit (adjusted hazard ratio [AHR], 1.39; 95% CI, 1.03-1.87; AHR, 1.38; 95% CI, 1.03-1.86, respectively). Gender stratified analyses suggested a larger impact of binge drinking among men and history of incarceration among women with time to first missed visit. CONCLUSIONS Although no factors were significantly associated with complete LTFU, current IDU and HIV status nondisclosure were significantly associated with time to first missed visit in HIV-infected Russian risky drinkers. An understanding of these predictors may inform retention efforts in longitudinal studies.
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Affiliation(s)
- T Kiriazova
- Department of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston University School of Medicine/Boston Medical Center, Boston, MA, USA Future Without AIDS Foundation, Odessa, Ukraine
| | - D M Cheng
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - S M Coleman
- Data Coordinating Center, Boston University School of Public Health, Boston, MA, USA
| | - E Blokhina
- First Pavlov State Medical University of St. Petersburg, St. Petersburg, Russian Federation
| | - E Krupitsky
- First Pavlov State Medical University of St. Petersburg, St. Petersburg, Russian Federation St. Petersburg Bekhterev Research Psychoneurological Institute, St. Petersburg, Russian Federation
| | - M C Lira
- Department of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston Medical Center, Boston, MA, USA
| | - C Bridden
- Department of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston Medical Center, Boston, MA, USA
| | - A Raj
- Division of Global Public Health, Department of Medicine, University of California - San Diego School of Medicine, San Diego, CA, USA
| | - J H Samet
- Department of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston University School of Medicine/Boston Medical Center, Boston, MA, USA Department of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA
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Launes J, Hokkanen L, Laasonen M, Tuulio-Henriksson A, Virta M, Lipsanen J, Tienari PJ, Michelsson K. Attrition in a 30-year follow-up of a perinatal birth risk cohort: factors change with age. PeerJ 2014; 2:e480. [PMID: 25071998 PMCID: PMC4103077 DOI: 10.7717/peerj.480] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 06/20/2014] [Indexed: 11/20/2022] Open
Abstract
Background. Attrition is a major cause of potential bias in longitudinal studies and clinical trials. Attrition rate above 20% raises concern of the reliability of the results. Few studies have looked at the factors behind attrition in follow-ups spanning decades. Methods. We analyzed attrition and associated factors of a 30-year follow-up cohort of subjects who were born with perinatal risks for neurodevelopmental disorders. Attrition rates were calculated at different stages of follow-up and differences between responders and non-responders were tested. To find combinations of variables influencing attrition and investigate their relative importance at birth, 5, 9, 16 and 30 years of follow-up we used the random forest classification. Results. Initial loss of potential participants was 13%. Attrition was 16% at five, 24% at nine, 35% at 16 and 46% at 30 years. The only group difference that emerged between responders and non-responders was in socioeconomic status (SES). The variables identified by random forest classification analysis were classified into Birth related, Development related and SES related. Variables from all these categories contributed to attrition, but SES related variables were less important than birth and development associated variables. Classification accuracy ranged between 0.74 and 0.96 depending on age. Discussion. Lower SES is linked to attrition in many studies. Our results point to the importance of the growth and development related factors in a longitudinal study. Parents' decisions to participate depend on the characteristics of the child. The same association was also seen when the child, now grown up, decided to participate at 30 years. In addition, birth related medical variables are associated with the attrition still at the age of 30. Our results using a data mining approach suggest that attrition in longitudinal studies is influenced by complex interactions of a multitude of variables, which are not necessarily evident using other multivariate techniques.
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Affiliation(s)
- Jyrki Launes
- Faculty of Behavioral Sciences, Division of Cognitive and Neuropsychology, University of Helsinki, Helsinki, Finland
| | - Laura Hokkanen
- Faculty of Behavioral Sciences, Division of Cognitive and Neuropsychology, University of Helsinki, Helsinki, Finland
| | - Marja Laasonen
- Faculty of Behavioral Sciences, Division of Cognitive and Neuropsychology, University of Helsinki, Helsinki, Finland
- Helsinki University Central Hospital, Department of Phoniatrics, Helsinki, Finland
| | - Annamari Tuulio-Henriksson
- Faculty of Behavioral Sciences, Division of Cognitive and Neuropsychology, University of Helsinki, Helsinki, Finland
- Kela—The Social Insurance Institution of Finland, Finland
| | - Maarit Virta
- Faculty of Behavioral Sciences, Division of Cognitive and Neuropsychology, University of Helsinki, Helsinki, Finland
| | - Jari Lipsanen
- Faculty of Behavioral Sciences, Division of Cognitive and Neuropsychology, University of Helsinki, Helsinki, Finland
| | - Pentti J. Tienari
- Biomedicum, Research Programs Unit, Molecular Neurology, University of Helsinki, Finland
- Helsinki University Central Hospital, Department of Neurology, Helsinki, Finland
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Favé S, Jolivot A, Desmaris JP, Maurice C, Decullier É, Duquesne B, Laville M. [Reluctance of patients with chronic kidney disease stage 3 to join education programs offered by a health network]. Nephrol Ther 2014; 10:112-7. [PMID: 24411637 DOI: 10.1016/j.nephro.2013.10.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2013] [Revised: 10/07/2013] [Accepted: 10/13/2013] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Therapeutic education helps patients to acquire the knowledge and ability to live with their disease. However, some patients are not willing to take part in a health education program. Identifying the barriers of their non-adherence would help us to determine accurately their effective educational needs and to adapt the program to deliver a better education for less-motivated patients. PATIENTS AND METHODS An education program for chronic kidney disease stage 3 patients was implemented across a health network. The study is based on patient's participation during each step of the program. The reasons for non-participation were collected, via direct survey and cross-referencing with available medical records. RESULTS From 80 eligible patients, and after medical approval, 66 patients received information about the program. Thirty-six patients elected to participate in program and 21 of them joined a therapeutic education group. We did not find any significant differences in the medical or social profile to determine the characteristics of non-participating patients. We found less program involvement however, with patients complying with biomedical follow-up but who do not benefit from complementary paramedical care. CONCLUSION Nearly half of patients did not take part in the therapeutic education program, primarily those who did not benefit from a multidisciplinary team to manage their chronic disease. Therapeutic education remains a less known concept by patients, and requires an informative and encouraging exhortation from practitioners during casual medical care.
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Affiliation(s)
- Sophie Favé
- Réseau Tircel, hôpital Édouard-Herriot, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France; EA santé individu société 4128, université Claude-Bernard Lyon-1, 69372 Lyon cedex 08, France.
| | - Anne Jolivot
- Réseau Tircel, hôpital Édouard-Herriot, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France; Département de néphrologie, hôpital Édouard-Herriot, hospices civils de Lyon, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France
| | - Jean-Pierre Desmaris
- Réseau Tircel, hôpital Édouard-Herriot, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France; Cabinet infirmier, 4, rue Bizet, 69150 Décines, France
| | - Christelle Maurice
- Réseau Tircel, hôpital Édouard-Herriot, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France; EA santé individu société 4128, université Claude-Bernard Lyon-1, 69372 Lyon cedex 08, France; Pôle Imer, hospices civils de Lyon, 69424 Lyon cedex 03, France
| | - Évelyne Decullier
- EA santé individu société 4128, université Claude-Bernard Lyon-1, 69372 Lyon cedex 08, France; Pôle Imer, hospices civils de Lyon, 69424 Lyon cedex 03, France
| | - Bruno Duquesne
- Réseau Tircel, hôpital Édouard-Herriot, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France; Cabinet médical, 25, quai Tilsitt, 69002 Lyon, France
| | - Maurice Laville
- Réseau Tircel, hôpital Édouard-Herriot, pavillon P, 5, place d'Arsonval, 69437 Lyon cedex 03, France; Service de néphrologie, centre hospitalier Lyon-Sud, 69495 Pierre-Bénite cedex, France; Inserm U1060 CarMeN, université de Lyon, 69373 Lyon, France
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Park MJ, Green J, Ishikawa H, Yamazaki Y, Kitagawa A, Ono M, Yasukata F, Kiuchi T. Decay of impact after self-management education for people with chronic illnesses: changes in anxiety and depression over one year. PLoS One 2013; 8:e65316. [PMID: 23785418 PMCID: PMC3681854 DOI: 10.1371/journal.pone.0065316] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2012] [Accepted: 04/28/2013] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND In people with chronic illnesses, self-management education can reduce anxiety and depression. Those benefits, however, decay over time. Efforts have been made to prevent or minimize that "decay of impact", but they have not been based on information about the decay's characteristics, and they have failed. Here we show how the decay's basic characteristics (prevalence, timing, and magnitude) can be quantified. Regarding anxiety and depression, we also report the prevalence, timing, and magnitude of the decay. METHODS Adults with various chronic conditions participated in a self-management educational program (n = 369). Data were collected with the Hospital Anxiety and Depression Scale four times over one year. Using within-person effect sizes, we defined decay of impact as a decline of ≥0.5 standard deviations after improvement by at least the same amount. We also interpret the results using previously-set criteria for non-cases, possible cases, and probable cases. RESULTS Prevalence: On anxiety, decay occurred in 19% of the participants (70/369), and on depression it occurred in 24% (90/369). Timing: In about one third of those with decay, it began 3 months after the baseline measurement (6 weeks after the educational program ended). Magnitude: The median magnitudes of decay on anxiety and on depression were both 4 points, which was about 1 standard deviation. Early in the follow-up year, many participants with decay moved into less severe clinical categories (e.g., becoming non-cases). Later, many of them moved into more severe categories (e.g., becoming probable cases). CONCLUSIONS Decay of impact can be identified and quantified from within-person effect sizes. This decay occurs in about one fifth or more of this program's participants. It can start soon after the program ends, and it is large enough to be clinically important. These findings can be used to plan interventions aimed at preventing or minimizing the decay of impact.
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Affiliation(s)
- M J Park
- Department of Health Communication, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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