Novel Metrics in the Longitudinal Evaluation of Pain Data in Sickle Cell Disease

Bakshi, Nitya; Smith, Meagan; Ross, Diana; Krishnamurti, Lakshmanan

doi:10.1097/ajp.0000000000000431

Cited by 22 publications

(69 citation statements)

References 34 publications

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“…The same 2 authors (SMB and RMC) then independently reviewed the full text of these articles in detail against the exclusion criteria and excluded 43 articles. Finally, 16 articles met all predefined criteria to be included in this review with a total of 747 study participants [ 52 - 67 ]. We did not identify any non-English articles that met our inclusion criteria.…”

Section: Resultsmentioning

confidence: 99%

“…The aims of the interventions were (1) monitoring or improvement, or both, of medication adherence, including hydroxyurea [ 53 , 54 , 58 , 63 ], iron chelation [ 61 ], or asthma medications [ 63 ]; (2) self-management [ 52 , 59 , 60 , 62 , 64 , 66 ]; (3) pain and symptom reporting [ 52 , 55 , 59 , 60 , 62 , 64 ]; (4) stress, coping, sleep, and daily activities reporting [ 55 , 59 , 62 , 64 ]; (5) cognitive training for memory [ 57 ]; (6) disease education to improve SCD and [ 56 , 61 , 65 - 67 ] reproductive health knowledge [ 56 , 65 ]; and (7) cognitive behavioral therapy [ 62 , 64 ] and guided relaxation interventions [ 55 ]. All studies were performed in the United States [ 52 - 67 ]. Enrollment was mainly from clinics [ 52 - 58 , 60 - 66 ], as well as inpatients [ 67 ], the public [ 65 ], online networks [ 65 ], home [ 56 , 65 ], or community-based organizations [ 56 , 59 , 65 ].…”

Section: Resultsmentioning

confidence: 99%

“…All studies were performed in the United States [ 52 - 67 ]. Enrollment was mainly from clinics [ 52 - 58 , 60 - 66 ], as well as inpatients [ 67 ], the public [ 65 ], online networks [ 65 ], home [ 56 , 65 ], or community-based organizations [ 56 , 59 , 65 ]. All studies were conducted in the outpatient setting [ 52 - 66 ], except for 1 study conducted in the inpatient setting [ 67 ].…”

Section: Resultsmentioning

confidence: 99%

“…Enrollment was mainly from clinics [ 52 - 58 , 60 - 66 ], as well as inpatients [ 67 ], the public [ 65 ], online networks [ 65 ], home [ 56 , 65 ], or community-based organizations [ 56 , 59 , 65 ]. All studies were conducted in the outpatient setting [ 52 - 66 ], except for 1 study conducted in the inpatient setting [ 67 ]. Most studies included older children or adolescents (mean or median age 10-17 years) [ 52 - 54 , 57 - 59 , 61 , 62 , 64 , 66 , 67 ], 5 studies included young adults (≥18 years old) [ 55 , 56 , 60 , 63 , 65 ], and 2 studies allowed parents to participate [ 54 , 58 ].…”

Section: Resultsmentioning

confidence: 99%

“…All studies were conducted in the outpatient setting [ 52 - 66 ], except for 1 study conducted in the inpatient setting [ 67 ]. Most studies included older children or adolescents (mean or median age 10-17 years) [ 52 - 54 , 57 - 59 , 61 , 62 , 64 , 66 , 67 ], 5 studies included young adults (≥18 years old) [ 55 , 56 , 60 , 63 , 65 ], and 2 studies allowed parents to participate [ 54 , 58 ]. None of the included studies involved potential users, patients, or parents in the development of the intervention before it was tested.…”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review

Badawy¹,

Cronin²,

Hankins³

et al. 2018

J Med Internet Res

142

117

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BackgroundSickle cell disease is an inherited blood disorder that affects over 100,000 Americans. Sickle cell disease–related complications lead to significant morbidity and early death. Evidence supporting the feasibility, acceptability, and efficacy of self-management electronic health (eHealth) interventions in chronic diseases is growing; however, the evidence is unclear in sickle cell disease.ObjectiveWe systematically evaluated the most recent evidence in the literature to (1) review the different types of technological tools used for self-management of sickle cell disease, (2) discover and describe what self-management activities these tools were used for, and (3) assess the efficacy of these technologies in self-management.MethodsWe reviewed literature published between 1995 and 2016 with no language limits. We searched MEDLINE, EMBASE, CINAHL, PsycINFO, and other sources. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Two independent reviewers screened titles and abstracts, assessed full-text articles, and extracted data from articles that met inclusion criteria. Eligible studies were original research articles that included texting, mobile phone–based apps, or other eHealth interventions designed to improve self-management in pediatric and adult patients with sickle cell disease.ResultsOf 1680 citations, 16 articles met all predefined criteria with a total of 747 study participants. Interventions were text messaging (4/16, 25%), native mobile apps (3/16, 19%), Web-based apps (5/16, 31%), mobile directly observed therapy (2/16, 13%), internet-delivered cognitive behavioral therapy (2/16, 13%), electronic pill bottle (1/16, 6%), or interactive gamification (2/16, 13%). Interventions targeted monitoring or improvement of medication adherence (5/16, 31%); self-management, pain reporting, and symptom reporting (7/16, 44%); stress, coping, sleep, and daily activities reporting (4/16, 25%); cognitive training for memory (1/16, 6%); sickle cell disease and reproductive health knowledge (5/16, 31%); cognitive behavioral therapy (2/16, 13%); and guided relaxation interventions (1/16, 6%). Most studies (11/16, 69%) included older children or adolescents (mean or median age 10-17 years; 11/16, 69%) and 5 included young adults (≥18 years old) (5/16, 31%). Sample size ranged from 11 to 236, with a median of 21 per study: <20 in 6 (38%), ≥20 to <50 in 6 (38%), and >50 participants in 4 studies (25%). Most reported improvement in self-management–related outcomes (15/16, 94%), as well as high satisfaction and acceptability of different study interventions (10/16, 63%).ConclusionsOur systematic review identified eHealth interventions measuring a variety of outcomes, which showed improvement in multiple components of self-management of sickle cell disease. Despite the promising feasibility and acceptability of eHealth interventions in improving self-management of sickle cell disease, the evidence overall is modest. Future eHealth intervention studies are needed to evaluate t...

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review

Badawy¹,

Cronin²,

Hankins³

et al. 2018

J Med Internet Res

142

117

View full text Add to dashboard Cite

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Clusters of pain trajectories among patients with sickle cell disease hospitalized for vaso‐occlusive crisis: A data‐driven approach

Rodday

Esham

Savidge

et al. 2020

eJHaem

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Background Vaso‐occlusive crises (VOCs) are the hallmark of sickle cell disease (SCD), with higher severity among hospitalized patients. Clustering hospitalizations with similar pain trajectories could identify vulnerable patient subgroups. Aims were to (a) identify clusters of hospitalizations based on pain trajectories; (b) identify factors associated with these clusters; and (c) determine the association between these clusters and 30‐day readmissions. Methods We retrospectively included 350 VOC hospitalizations from 2013 to 2016 among 59 patients. Finite mixture modeling identified clusters of hospitalizations from intercepts and slopes of pain trajectories during the hospitalization. Generalized estimating equations for multinomial and logistic models were used to identify factors associated with clusters of hospitalizations and 30‐day readmissions, respectively, while accounting for multiple hospitalizations per patient. Results Three clusters of hospitalizations based on pain trajectories were identified: slow (n = 99), moderate (n = 207), and rapid (n = 44) decrease in pain scores. In multivariable analysis, SCD complications, female gender, and affective disorders were associated with clusters with slow or moderate decrease in pain scores (compared to rapid decrease). Although univariate analysis found that the cluster with moderate decrease in pain scores was associated with lower odds of 30‐day readmissions compared to the cluster with slow decrease, it was nonsignificant in multivariable analysis. SCD complications were associated with higher odds of 30‐day readmissions and older age was associated with lower odds of 30‐day readmissions. Conclusions Our results highlight variability in pain trajectories among patients with SCD experiencing VOC and provide a novel approach for identifying subgroups of patients that could benefit from more intensive follow‐up.

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The efficacy of mobile health interventions used to manage acute or chronic pain: A systematic review

Martin

Bakker

Breth³

et al. 2020

Research in Nursing & Health

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Chronic pain is a significant health issue that affects approximately 50 million adults in the United States. Traditional interventions are not always an effective treatment strategy for pain control. However, the wide adoption of smartphones and the rapid growth of health information technologies over the past decade have created opportunities to use mobile health (mHealth) applications (apps) for pain tracking and self-management. In this PRISMA-compliant systematic review, we assessed the current U.S.-based research on pain-related mHealth apps to describe the app components and determine the efficacy of these interventions for persons with acute or chronic pain. We conducted a comprehensive search of five databases based on methodological guidelines from the Joanna Briggs Institute. We included articles reporting original data on mHealth interventions with pain intensity as a primary or secondary outcome and excluded articles that utilized multimodal interventions. Of the original 4959 articles, only five studies met the eligibility criteria. Most of the interventions included feasibility or pilot studies, and all studies were published between 2015 and 2018. Two of the five studies used visual analog scales. Only two of the studies reported statistically significant pain intensity outcomes, and considerable heterogeneity between the studies limited our ability to generalize findings or conduct a meta-analysis. Research investigating the components and efficacy of pain-related mHealth apps as interventions is an emerging field. To better understand the potential clinical benefits of mHealth apps designed to manage pain, further research is needed.

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Novel Metrics in the Longitudinal Evaluation of Pain Data in Sickle Cell Disease

Cited by 22 publications

References 34 publications

Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review

Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review

Clusters of pain trajectories among patients with sickle cell disease hospitalized for vaso‐occlusive crisis: A data‐driven approach

The efficacy of mobile health interventions used to manage acute or chronic pain: A systematic review

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