Abstract
Purpose
This study evaluated the feasibility of a group self-management intervention, the well-established Stanford Chronic Disease Self-Management Program (CDSMP), for adolescents and young adults (AYA) with sickle cell disease (SCD).
Methods
A total of 22 AYA participants with SCD, ages 16 to 24 years, completed self-efficacy and quality of life (HRQOL) measures before the CDSMP, after, and 3 and 6 months later.
Results
This AYA cohort showed significant improvements in self-efficacy (primary outcome) after the intervention. Analyses of follow-up data revealed a medium effect of the CDSMP on patient activation 3 months post although this was not sustained. Participants were highly satisfied, but only 64% completed the program.
Conclusions
This study demonstrates that the CDSMP is acceptable, and has the ability to improve self-efficacy. Additional research is needed to determine feasibility and evaluate health outcomes for AYA with SCD.
Keywords: sickle cell disease, adolescents, young adults, pediatric hematology, chronic illness, self-management, intervention
Introduction
Sickle cell disease (SCD) causes significant morbidity and mortality, particularly during adolescence and young adulthood (AYA) [1]. Disease manifestations worsen in adolescence, impairing functioning and lowering health-related quality of life. The chronic nature of SCD increases the risk of impaired academics and social isolation [2]. Behavioral interventions exist for disease knowledge and managing physical symptoms (e.g. pain), but few interventions have targeted broader SCD management skills such as avoiding triggers and receiving yearly screenings (e.g. MRI), managing complications (e.g. stroke, bone damage) and for some, monthly blood transfusions.
Chronic disease self-management interventions focus on equipping patients with skills to manage their health. One widely used intervention is the Stanford Chronic Disease Self-Management Program (CDSMP), a six-week group-based intervention led by lay leaders with a chronic health condition. The program helps patients understand acute and chronic disease, and teaches skills (e.g., action planning and problem-solving) to manage health conditions, symptoms, and resulting emotions. CDSMP is associated with improvements in self-reported health, exercise, symptom management, patient-provider communication, functioning and long-term improvements in health behaviors [3].
Initially implemented with Caucasian and older populations, CDSMP may also improve self-efficacy and self-management skills in racially and ethnically diverse patients [4]. A Cochrane Review recommended that CDSMP be explored with pediatric populations [5]. CDSMP has the potential to improve self-management in AYA with chronic diseases [6], but no data exist for AYA with SCD. Accordingly, we investigated whether CDSMP would be feasible and acceptable, improve self-efficacy and self-management behaviors, and decrease emergency room visits for this population. We also explored the relationship between CDSMP and patient activation, the skills, knowledge, and confidence to manage health, as this has been associated with improved self-management [7].
Methods
Participants
AYA were eligible if they had SCD, were between 16–24, and received care at a pediatric or adult SCD clinic in the Midwest. Providers did not refer AYA with additional health complications or known cognitive limitations that would interfere with completion of the CDSMP or measures. With IRB approval, AYA were recruited between March 2013 and June 2014.
Procedure
AYA (and caregivers for 16–17 year olds) consented and completed baseline measures (T1: 1–3 weeks before intervention). CDSMP was conducted as designed with no tailoring for SCD and consisted of six 2.5 hour weekly sessions (see Table 1). Two trained leaders facilitated four cohort groups of 4–8 participants. Completion was defined per CDSMP guidelines as attending ≥ 4 sessions. After the last session, AYA completed measures (T2), and then returned for study follow-ups 3 months ±30 days (T3) and 6 months ± 30 days later (T4). AYA received transportation support ($10) and incentives for each session ($35) and assessment ($35 – $50).
Table 1.
Ma (SD)b | |
---|---|
Age | 18.77 (2.22) |
Emergency Room Visits | 1 (1.31) |
N (%) | |
| |
Gender | |
Female | 10 (45.5) |
Male | 12 (54.5) |
Race/Ethnicity | |
African American | 22 (100) |
SCD Genotype | |
HbSS | 14 (63.6) |
HbSC | 6 (27.3) |
HbSβ+thalessemia | 2 (9.1) |
Insurance | |
Public | 14 (63.6) |
Private | 4 (18.2) |
Both | 3 (13.7) |
None | 1 (4.5) |
PAT | |
Total score | 1.28 (0.78) |
Risk category | Targeted |
Recruitment | |
Total Eligible | 81 |
Total Receiving letter/phone call | 81 |
Total Returned letters | 20 |
Total No response/unable to reach by phone | 28 |
Total Declined | 5 |
Total Enrolled | 28 |
Total Withdrawn | 6 |
Session Completion | |
6 sessions | 64% |
5 sessions | 27% |
4 sessions | 9% |
General Session Topics & Ratings | |
Action Planning, Problem Solving, Mind Management | 4.44 (0.49) |
Managing Emotions, Exercise | 4.32 (0.61) |
Decision Making, Pain & Fatigue Management | 4.43 (0.43) |
Breathing, Communication, Healthy Eating | 4.45 (0.39) |
Managing Medications, Treatment Decisions | 4.50 (0.42) |
Working with the Healthcare Team, Future Plans | 4.09 (0.84) |
CDSMP Acceptability Ratings | |
Learned things to help manage SCD | 4.25 (0.17) |
Topics were relevant | 4.26 (0.14) |
Will develop an action plan | 4.24 (0.15) |
Self-management skills important to manage SCD | 4.51 (0.13) |
Group leaders were helpful | 4.50 (0.18) |
Return for another session | 4.61 (0.24) |
Mean,
Standard deviation,
Psychosocial Assessment Tool (PAT) Total Score takes into account parental education level, income, and number in the household. Targeted risk category means that participants are at elevated risk for difficulties with coping with their illness and in need of intervention.
Note. Sample demographics were consistent with data from the overall clinic sample (N=88) at the time of baseline, including mean age (M=20.18, SD=2.48), gender (53% female; 47% male) and SCD type (66% HbSS; 18% HbSC; 14% HbSβthal).
Measures
At baseline, AYA completed a demographics form and measure of psychosocial risk (PAT2.0_GEN AYA) [8]. Self-efficacy (primary outcome) was assessed via the Sickle Cell Self-Efficacy and Self-Efficacy for Managing Chronic Disease Scales. The Transition Readiness Assessment Questionnaire (TRAQ-5) measured self-reported self-management behaviors (primary outcome) and assessed the perceived ability to manage medications, keep appointments, track health issues, manage daily activities and talk with providers. For secondary outcomes, the National Health Interview Survey measured self-reported health status, the Patient Activation Measure (PAM-13) assessed patient activation, the Pediatric Quality of Life Inventory (PedsQL) assessed health-related quality of life, and the electronic medical record provided emergency visit data. Six questions evaluated feasibility and acceptability.
Analysis
Descriptive statistics summarized demographic data and outcome measures using SPSS Version 22. Emergency visits were tracked for six months before and after intervention. Repeated measures ANOVA analyses examined pre-post-follow-up changes for self-efficacy, self-management behaviors, patient activation, health status and healthcare utilization, including effect sizes. Small, medium, and large partial eta-squared values are defined as 0.02, 0.06, & 0.14, respectively.
Results
AYA ranged from 16 to 23 years (M = 18.8, SD = 2.2). The sample was 55% male and 100% African American (Table 1). Among 22 AYA, 64% attended all sessions; completers were less likely to have HbSS. Sessions were missed due to disease-related (i.e., hospitalized/ill), transportation, and/or schedule challenges. Most participants were satisfied and would recommend CDSMP (91%). AYA liked interacting with peers with SCD, problem-solving and action planning although two did not enjoy group discussions (see Table 1).
At T2, AYA showed significant improvements in general self-efficacy but not disease-specific self-efficacy (Table 2). There were no significant improvements in self-reported self-management behaviors, health status, quality of life or emergency room visits over time (Table 2). A medium effect size was noted for patient activation.
Table 2.
Primary Outcomes | Baseline Ma(±SD)b | T2 (Post) Ma(±SD)b | T3 (3-months) Ma(±SD)b | T4 (6-months) Ma(±SD)b | F | p | Effect size ηp2c |
---|---|---|---|---|---|---|---|
Chronic Disease Self-Efficacy | 7.26 (±1.5) | 8.02 (±1.34) | — | — | 8.27 | .009 | .293 |
Sickle Cell Self-Efficacy Scale | 32.6 (±3.7) | 33.2 (±5.49) | — | — | 0.33 | .575 | .015 |
Self-Management TRAQ-5d | 3.62 (±0.83) | 3.40 (±0.62) | — | — | 0.45 | .516 | .039 |
Managing Medications | 3.54 (±1.10) | 3.40 (±0.85) | — | — | 0.99 | .759 | .009 |
Appointment Keeping | 3.04 (±1.07) | 2.95 (±0.63) | — | — | 0.70 | .796 | .006 |
Tracking Health Issues | 3.44 (±0.95) | 2.92 (±0.82) | — | — | 1.47 | .250 | .118 |
Talking with Providers | 4.58 (±0.76) | 4.25 (±1.01) | — | — | 1.07 | .322 | .089 |
Managing Daily Activities | 4.63 (±0.64) | 4.50 (±0.87) | — | — | 0.49 | .501 | .042 |
| |||||||
Secondary Outcomes | Baseline Ma(±SD)b | T2 (Post) Ma(±SD)b | T3 (3-months) Ma(±SD)b | T4 (6-months) Ma(±SD)b | F | p | Effect size ηp2c |
| |||||||
Patient Activation Measure | 69.75 (±13.17) | 75.36 (±16.03) | 74.12 (±14.95) | 71.45 (±17.98) | .911 | .440 | .071 |
Health Status | 2.50 (±1.10) | 2.45 (±1.14) | 2.24 (±1.25) | 2.28 (±1.02) | .427 | .662 | .030 |
Pediatric Quality of Life | 65.81 (±12.43) | 68.28 (±15.08) | 70.01 (±14.89) | 66.73 (±15.23) | .249 | .787 | .017 |
Emergency Room Visits | 1.00 (± 1.31) | — | — | 1.64 (±2.80) | 1.31 | .266 | .059 |
Note.
M = Mean.
SD = Standard deviation.
ηp2 =partial eta squared.
TRAQ-5 = Transition Readiness Assessment Questionnaire; n = 12.
Baseline = emergency room visits 6 months prior to baseline.
Discussion
We evaluated the CDSMP, a low-resource and low-cost program that uses a group, skill-based and interactive format with potential appeal for AYA with SCD. Participants found the CDSMP very acceptable (high satisfaction), rating it as relevant and beneficial for managing SCD. Only 64% of AYA completed all sessions raising questions about feasibility; this completion rate is lower than Black CDSMP participants in other studies (78.5%) [9]. Retention may have been impacted by disease-related factors. Shorter interventions or those using a combination of web-based (group video chat) and in-person sessions could improve attendance while maintaining engagement.
Consistent with previous studies [3,4], we found significant improvements in disease self-efficacy post CDSMP. This is important since self-efficacy has been associated with reduced health care use and improved health outcomes [3]. No improvements in disease-specific self-efficacy were found which may reflect the broad CDSMP curriculum; inclusion of disease-specific content should be evaluated. AYA did not show improvements in perceived self-management behaviors; a medium effect size supports the CDSMP’s potential for improving patient activation 3 months post. However, effects were not sustained suggesting the benefits of a booster session should be evaluated.
Limitations include lack of a control group and single site recruitment. Sample size limited ability to predict responders or the number of sessions (dose) necessary for improved self-efficacy. This study used a convenience sample; targeted recruitment strategies may be needed to reach AYA with the greatest self-management needs. Future studies should evaluate primary outcomes to determine long-term effects. If CDSMP increases self-efficacy, then it has potential for significant health impact in SCD.
Acknowledgments
This work was supported by the National Heart, Lung, and Blood Institute at the National Institutes of Health (grant number K07HL108720). The authors would like to acknowledge Cami Mosley and Meghan Dailey for their assistance with data collection and preparation. Some preliminary data from this project was presented at the American Society of Hematology Conference in 2012: Crosby LE, Joffe N, Kalinyak K et al. Six-month data from a pilot self-management intervention for adolescents with sickle cell disease. Blood 2013; 122: 1675-1675.
Abbreviations
- AYA
adolescents and young adults
- ANOVA
analysis of variance
- CDSMP
Chronic Disease Self-Management Program
- PAT2.0_GEN AYA
Psychosocial Assessment Tool 2.0 General – Adolescent and Young Adult Version
- PAM-13
Patient Activation Measure - 13
- PedsQL
Pediatric Quality of Live Inventory
- SCD
sickle cell disease
- SPSS
Statistical Program for the Social Sciences
- T1
Time 1
- T2
Time 2
- T3
Time 3
- T4
Time 4
- TRAQ-5
Transition Readiness Assessment Questionnaire – 5th version
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Implications and Contribution
Adolescents and young adults with sickle cell disease suffer from disease complications and can benefit from self-management. This study reports that the Stanford Chronic Disease Self-Management Program is acceptable and improves self-efficacy, but future studies should evaluate feasibility and impact on outcomes such as patient activation and quality of life.
References
- 1.Quinn CT, Rogers ZR, McCavit TL, Buchanan GR. Improved survival of children and adolescents with sickle cell disease. Blood. 2010;115:3447–3452. doi: 10.1182/blood-2009-07-233700. DOI: http://dx.doi.org/10.1182/blood-2009-07-233700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Noll RB, Reiter-Purtill J, Vannatta K, et al. Peer relationships and emotional well-being of children with sickle cell disease: A controlled replication. Child Neuropsychology. 2007;13:173–187. doi: 10.1080/09297040500473706. DOI: http://dx.doi.org/10.1080/09297040500473706. [DOI] [PubMed] [Google Scholar]
- 3.Brady TJ, Murphy L, O’Colmain BJ, et al. A meta-analysis of health status, health behaviors, and health care utilization outcomes of the chronic disease self-management program. Prev Chronic Dis. 2013;10 doi: 10.5888/pcd10.120112. DOI: http://dx.doi.org/10.5888/pcd10.120112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sidhu MS, Gale NK, Gill P, et al. A systematic review of lay-led group-based self-management interventions for minority ethnic populations diagnosed with long-term conditions in high-income countries. Divers Equal Health Care. 2014;11 [Google Scholar]
- 5.Foster G, Taylor S, Eldridge S, et al. Self-management education programmes by lay leaders for people with chronic conditions. Cochrane Database Syst Rev. 2007;4 doi: 10.1002/14651858.CD005108.pub2. DOI: http://dx.doi.org/10.1002/14651858.cd005108.pub2. [DOI] [PubMed] [Google Scholar]
- 6.Alseraty WH, Amin FM. Effects of chronic disease self–management program on quality of life and wellbeing among chronic ill adolescents at Majmaah university female Colleges, KSA. Global Journal of Medicine and Public Health. 2015;4:1–12. [Google Scholar]
- 7.Hibbard JH, Mahoney ER, Stock R, Tusler M. Do Increases in Patient Activation Result in Improved Self-Management Behaviors? Health Serv Res. 2007;42:1443–1463. doi: 10.1111/j.1475-6773.2006.00669.x. DOI: http://dx.doi.org/10.1111/j.1475-6773.2006.00669.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Crosby LE, Joffe NE, Reynolds N, et al. Psychometric Properties of the Psychosocial Assessment Tool-General in Adolescents and Young Adults With Sickle Cell Disease. J Pediatr Psychol. 2015;41:397–405. doi: 10.1093/jpepsy/jsv073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Korda H, Erdem E, Woodcock C, Kloc M, Pedersen S, Jenkins S. Racial and ethnic minority participants in chronic disease self-management programs: findings from the communities putting prevention to work initiative. Ethnicity & disease. 2015 Dec 18;23(4):508–17. [PubMed] [Google Scholar]