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Integration of mHEALTH Into the Care of Patients With Sickle Cell Disease to Increase Hydroxyurea Utilization

Integration of mHEALTH Into the Care of Patients With Sickle Cell Disease to Increase Hydroxyurea Utilization- mESH Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04080167
Enrollment
382
Registered
2019-09-06
Start date
2019-11-11
Completion date
2022-08-31
Last updated
2023-11-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sickle Cell Disease

Keywords

implementation science, sickle cell anemia, digital medicine, adherence, hydroxycarbamide, health innovation

Brief summary

This project proposes to develop, test and evaluate targeted interventions to improve clinical provider prescribing of and patient adherence to hydroxyurea (HU). Using a stepped-wedge design, The investigators will test two innovative interventions utilizing mobile health to address both patients' and providers' needs: 1) an mHealth application for patients (InCharge Health app) that includes multi-component features to address the memory, motivation, and knowledge barriers to hydroxyurea use, and 2) an mHealth toolbox application for providers (HU Toolbox app) that addresses clinical knowledge barriers in prescribing and monitoring hydroxyurea use. These two interventions will be tested through the following aims: Aim 1. Improve Patient Adherence to Hydroxyurea: Addressing Memory, Motivation, and Knowledge Barriers to Hydroxyurea Use. Primary hypothesis: The investigators hypothesize that among adolescents and adults with SCD, the adherence to hydroxyurea, as measured by percentage of days covered (PDC), will increase by at least 20% at 24 weeks after receiving the InCharge Health app, compared to their hydroxyurea adherence at baseline. Sub-aim 1.a. To examine and assess both patient engagement and behaviors related to use of the InCharge Health app, the investigators will evaluate consistent use of the app among enrolled patients, patient satisfaction, and continued use of the app beyond the study period. Sub-Aim 1.b. To examine the clinical influence of the use of the InCharge Health app on PDC, patients' clinical outcomes, perceived health literacy, health related quality of life, and perceived self-efficacy between baseline and 24 weeks. Aim 2. Improve Provider Hydroxyurea Awareness, Prescribing and Monitoring Behaviors. Sub-Aim 2.a. To examine and assess provider engagement and behaviors related to use of the HU Toolbox, the investigators will evaluate consistent use of the app among enrolled providers, providers' satisfaction, and continued use of the app beyond the study period. Sub-Aim 2.b. To assess the combined effects of the patient and provider mHealth interventions on hydroxyurea and health care utilization, the investigators will examine if the changes in hydroxyurea adherence are enhanced by the use of both provider and patient interventions compared to those not exposed to one or both interventions. Aim 3. Identify and Evaluate the Barriers and Facilitators to the use of mHealth Interventions.

Detailed description

The National Heart, Lung, and Blood Institute (NHLBI) created the Sickle Cell Disease Implementation Consortium (SCDIC) to apply implementation science methods to identify and address barriers to guideline-based care in sickle cell disease (SCD) and promote evidence-based treatment for SCD patients between ages 15 to 45 years. The SCDIC conducted a systematic literature review and a comprehensive needs assessment among the eight participating centers. A major conclusion was that care redesign to support better hydroxyurea utilization would likely improve clinical outcomes for patients with SCD. Hydroxyurea therapy has been shown to improve patient outcomes and reduce disease complications and is endorsed by the NHLBI. SCDIC now proposes to develop, test and evaluate targeted interventions to improve clinical provider prescribing of and patient adherence to hydroxyurea. The overall purpose of this proposed project is to address barriers identified by the needs assessment to improve adherence with hydroxyurea therapy. Multiple approaches for improving adherence with pharmaceutical regimens have been studied and demonstrate a need to address barriers that both providers and patients face. This project aims, via a stepped-wedge design, to test two innovative interventions utilizing mobile health (mHealth), to address both patients' and providers' needs: 1) an mHealth application for patients (InCharge Health app) that includes multi-component features to address the memory, motivation, and knowledge barriers to hydroxyurea use, and 2) an mHealth toolbox application for providers (HU Toolbox app) that addresses the clinical knowledge barriers in prescribing and monitoring hydroxyurea use. These two interventions will be tested through the following aims: Aim 1. Improve Patient Adherence to Hydroxyurea: Addressing Memory, Motivation, and Knowledge Barriers to Hydroxyurea Use. Primary hypothesis: The investigators hypothesize that among adolescents and adults with SCD, the adherence to hydroxyurea, as measured by percentage of days covered (PDC), will increase by at least 20% at 24 weeks after receiving the InCharge Health app, compared to their hydroxyurea adherence at baseline. Sub-aim 1.a. To examine and assess both patient engagement and behaviors related to use of the InCharge Health app, the investigators will evaluate consistent use of the app among enrolled patients, patient satisfaction, and continued use of the app beyond the study period. Sub-Aim 1.b. To examine the clinical influence of the use of the InCharge Health app on PDC, patients' clinical outcomes, perceived health literacy, health related quality of life, and perceived self-efficacy between baseline and 24 weeks. Aim 2. Improve Provider Hydroxyurea Awareness, Prescribing and Monitoring Behaviors. The investigators will examine among providers using the HU Toolbox App if there is an increase in reported awareness of hydroxyurea benefits and risks, accurate prescribing of hydroxyurea, and perceived self-efficacy to correctly administer hydroxyurea therapy between baseline and after 9 months of using the HU Toolbox app. Sub-Aim 2.a. To examine and assess provider engagement and behaviors related to use of the HU Toolbox, the investigators will evaluate consistent use of the app among enrolled providers, providers' satisfaction, and continued use of the app beyond the study period. Sub-Aim 2.b. To assess the combined effects of the patient and provider mHealth interventions on hydroxyurea and health care utilization, the investigators will examine if the changes in hydroxyurea adherence are enhanced by the use of both provider and patient interventions compared to those not exposed to one or both interventions. Aim 3. Identify and Evaluate the Barriers and Facilitators to the use of mHealth Interventions. The investigators will evaluate the strategies used by participating sites in supporting the implementation of mHealth interventions via a mixed-method evaluation of the facilitators and barriers in adopting and implementing the mHealth interventions from multiple stakeholder perspectives: patient, provider, and organization. Both mHealth interventions will be tested concurrently and because the investigators are using a stepped-wedge design, each site will enter the study at different times. Provider participants will receive the HU Toolbox intervention for 9 months with a lagged but overlapping introduction of the InCharge Health intervention patient participants for 24 weeks. The implementation evaluation will be guided by RE-AIM to assess the Reach, Effectiveness, Adoption, Implementation and Maintenance of the interventions. All sites will also complete follow-on needs assessment and medical record abstractions that will provide data to evaluate other patient and provider outcomes, barriers and enablers to hydroxyurea prescribing, use, and monitoring. mHealth technology can be leveraged to support more effective use of hydroxyurea and eventually improved SCD clinical outcomes. If the mHealth applications tested in this study show preliminary efficacy, both apps could be scaled up within SCDIC centers and expanded to other institutions outside the SCDIC.

Interventions

BEHAVIORALInCharge Health mobile application

The InCharge Health app features include: Daily reminders; Ability to customize content of message and time of day when the message comes; Symptom tracker to monitor daily pain and mood; 7-day streak that tracks daily adherence; Graphing adherence against pain symptoms; Communication feature allowing the patient to connect to the clinic and a health partner; Link to discussion forum where communication to other patients can occur; Education bank that provides information about SCD and hydroxyurea. Participants can delay daily push notifications. If hospitalized, participants may stop notifications. A special feature of the app is to set up a health partner, who may be a person the participant may choose from his/her contact list and who will receive notifications if it had been \<4 hours since not documenting the use of hydroxyurea. The app healthy partner will be encouraged to message the participant to remind him/her to take the medication.

BEHAVIORALHU Toolbox mobile application

The HU Toolbox app includes algorithms for hydroxyurea use and is ready for immediate use on Apple and Android operating systems. In addition, it has the NHLBI guidelines adapted for pediatrics (guidelines/recommendations separated by age) and for adults (guidelines/ recommendations separated by organ system, laboratory, or physical exam finding). The HU Toolbox app includes the ability to search guidelines for key words and add notes. Algorithms are also included as PDF documents that can be printed out or emailed. Finally, a contact list of local SCD specialists and important contacts is included, so providers can easily contact SCD experts and expect an answer in 24 hours or less. The HU Toolbox app is easily updated with all data and resources stored on a cloud-based server that can provide instant up-to-date information to those using the app.

Sponsors

RTI International
CollaboratorOTHER
National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
University of Memphis
CollaboratorOTHER
St. Jude Children's Research Hospital
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Intervention model description

nonrandomized, closed cohort, stepped-wedge cluster trial

Eligibility

Sex/Gender
ALL
Age
15 Years to 45 Years
Healthy volunteers
Yes

Inclusion criteria

* Age 15 years up to and including 45 years * Treated at or affiliated with one of the SCDIC sites * English speaking * Confirmed Sickle Cell Disease (SCD) diagnosis. An SCD diagnosis is defined as Hb fractionation test (e.g., high- performance liquid chromatography or another technique) that is diagnostic of one the following: Hb SS, Hb SC, Hb Sβ-thalassemia, Hb SO, Hb SD, Hb SG, Hb SE, or Hb SF. * Willing and cognitively able to give informed consent * Access to a cellular/mobile smart phone (either Android or IPhone are acceptable) * Hydroxyurea therapy: Already receiving hydroxyurea therapy: defined as at least one prior prescription to hydroxyurea in the past 3 months and no plans to escalate the dose by more than 5 mg/kg/day. Initiating hydroxyurea therapy: defined as at least one prescription written at the time of study enrollment (the first prescription must be written on the same day as study enrollment). Patients who initiate hydroxyurea on the same day of study enrollment will not contribute to the total of 46 patients target accrual for the site. A max of 30 patients who are initiating hydroxyurea can be enrolled per site.

Exclusion criteria

* Current pregnancy * On a chronic transfusion program in which they receive more than 8 erythrocyte transfusions in a 12-month period. * A red blood cell transfusion in the past 60 days * Currently using another phone application or an online-based tool (e-health tool) to increase hydroxyurea adherence

Design outcomes

Primary

MeasureTime frameDescription
Mean Change in PDC From Baseline Through 24 Weeksbaseline (prior to the intervention), week 24The primary outcome is the change in the percentage of days covered (PDC) of hydroxyurea, measured by comparing PDC during the 24-week baseline interval (i.e. prior the intervention) with PDC during the 24-week follow-up interval. PDC is calculated as the number of days covered (i.e., days of prescription refill dates and supply of each prescription) divided by the number of days in a treatment time point then multiply by 100 to obtain the PDC as a percentage.

Secondary

MeasureTime frameDescription
Implementation of InCharge Health App.baseline, 24 weeksCount of all enrolled patients who used the InCharge Health app at least once during the study period among all enrolled
Change in Mean Corpuscular Volume (MCV)baseline, 24 weeksMean difference between MCV during the baseline interval and during the follow-up interval
Change in Fetal Hemoglobinbaseline, 24 weeksMean difference between fetal hemoglobin during the baseline interval and during the follow-up interval
Change in Hemoglobin Concentrationbaseline, 24 weeksMean difference between hemoglobin during the baseline interval and during the follow-up interval
Change in Reticulocyte Percentagebaseline, 24 weeksMean difference between reticulocyte percentage during the baseline interval and during the follow-up interval
Change in Absolute Neutrophil Percentagebaseline, 24 weeksMean difference between neutrophil percentage during the baseline interval and during the follow-up interval
Change Bilirubinbaseline, 24 weeksMean difference between total bilirubin during the baseline interval and during the follow-up interval
Change in Mean Plasma Lactate Dehydrogenase (LDH)baseline, 24 weeksMean difference between LDH during the baseline interval and during the follow-up interval
Change in Rate of Emergency Room Visits Per Patient in the Last 24 Weeksbaseline, 24 weeksMean difference between number of emergency room visits during the baseline interval and during the follow-up interval.
Change in Rate of Hospitalization Per Patient in the Last 24 Weeksbaseline, 24 weeksMean difference between number of hospitalizations during the baseline interval and during the follow-up interval.
Change in Patient Reported Pain Qualitybaseline, 24 weeksMean difference between scores on the Patient Reported Outcomes Information System (PROMIS) Pain Quality Scale during baseline and follow-up when the responses, never, rarely, sometimes, often, and always are coded 0 through 4. The Patient Reported Outcomes Information System (PROMIS) Pain Quality Scale has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score indicates worse pain.
Change in Patient Reported Pain Impact: ASCQ-Me Pain Impact Scalebaseline, 24 weeksMean difference between scores on the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity Scale during baseline and follow-up when the responses, never, rarely, sometimes, often, and always are coded 0 through 4. Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity Scale has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score indicates worse pain.
Change in Patient Reported Pain Frequency and Severitybaseline, 24 weeksMean difference between scores on the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity scale during baseline and follow-up when the responses, never, rarely, sometimes, often, and always are coded 0 through 4. Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity Scale has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score indicates worse pain.
Change in Healthy Literacybaseline, 24 weeksMean difference between responses to the Single item literacy screener (SILS) during baseline and follow-up when the responses, Never, rarely, sometimes, often, and always are coded 0 through 4; score is the sum of responses to 8 questions (score range: 0-32). The Single item literacy screener (SILS) has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score means lower health literacy.
Change in Perceived Self-efficacybaseline, 24 weeksMean difference between responses to the Patient reported outcomes information system (PROMIS) medication self-efficacy short form during baseline and follow-up when the responses, I am not at all confident, I am a little confident, I am somewhat confident, I am quite confident, and I am very confident are coded 0 to 4. The Patient Reported Outcomes Information System (PROMIS) Pain Quality Scale has a minimum value of I am not at all confident, coded as 0, and a maximum value of I am very confident, coded as 4 for analysis. A higher score indicates greater self-efficacy.
Change in Provider Knowledge of Hydroxyurea (HU) Prescription Guidelinesbaseline, 9 monthsMean difference between responses during baseline and follow-up to the 5 questions on the Hydroxyurea Knowledge Scale regarding knowledge of correctly prescribing hydroxyurea. Each question was scored 0 (incorrect response) or 1 (correct) and the 5 scores were summed to produce totals of 0 to 5.
Change is Provider Self-efficacy of Hydroxyurea (HU) Prescription Guidelinesbaseline, 9 monthsHydroxyurea self-efficacy scale (comfort level and perceived effectiveness in prescribing hydroxyurea) with responses scored 0 to 4. The Hydroxyurea self-efficacy scale has a minimum value of very uncomfortable, coded as 0 and a maximum value of very comfortable, coded as 4. A higher score indicates greater self-efficacy.
Mean Change in PDC From Baseline Through 36 Weeksbaseline (prior to the intervention), week 36This outcome is the change in the percentage of days covered (PDC) of hydroxyurea, measured by comparing PDC during the 24-week baseline interval (i.e. prior the intervention) with PDC during the 36-week follow-up interval. PDC is calculated as the number of days covered (i.e., days of prescription refill dates and supply of each prescription) divided by the number of days in a treatment time point then multiply by 100 to obtain the PDC as a percentage.

Countries

United States

Participant flow

Recruitment details

Between November 11, 2019 and September 3, 2021, three-hundred forty-three (343) participants were approached for enrollment, two-hundred ninety-three (293) patients consented and were enrolled on study. Eighty nine (89) providers were recruited and gave verbal consent for participation.

Participants by arm

ArmCount
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) Patients
Patient receives the InCharge Health app for 6 months InCharge Health mobile application: The InCharge Health app features include: Daily reminders; Ability to customize content of message and time of day when the message comes; Symptom tracker to monitor daily pain and mood; 7-day streak that tracks daily adherence; Graphing adherence against pain symptoms; Communication feature allowing the patient to connect to the clinic and a health partner; Link to discussion forum where communication to other patients can occur; Education bank that provides information about SCD and hydroxyurea. Participants can delay daily push notifications. If hospitalized, participants may stop notifications. A special feature of the app is to set up a health partner, who may be a person the participant may choose from his/her contact list and who will receive notifications if it had been \<4 hours since not documenting the use of hydroxyurea. The app healthy partner will be encouraged to message the participant to remind him/her to take the medication.
293
Arm 2 (HU Toolbox App) - Providers
Provider receives the HU Toolbox app for 9 months HU Toolbox mobile application: The HU Toolbox app includes algorithms for hydroxyurea use and is ready for immediate use on Apple and Android operating systems. In addition, it has the NHLBI guidelines adapted for pediatrics (guidelines/recommendations separated by age) and for adults (guidelines/ recommendations separated by organ system, laboratory, or physical exam finding). The HU Toolbox app includes the ability to search guidelines for key words and add notes. Algorithms are also included as PDF documents that can be printed out or emailed. Finally, a contact list of local SCD specialists and important contacts is included, so providers can easily contact SCD experts and expect an answer in 24 hours or less. The HU Toolbox app is easily updated with all data and resources stored on a cloud-based server that can provide instant up-to-date information to those using the app.
89
Total382

Withdrawals & dropouts

PeriodReasonFG000FG001FG002
Overall StudyDeath-Patient210
Overall StudyDid not complete the baseline survey/activities040
Overall StudyHydroxyurea New Starts001
Overall StudyLost to Follow-up-Patients7140
Overall StudyLost to Follow-up-Providers220
Overall StudyWithdrawal by Provider004
Overall StudyWithdrawal by Subject120

Baseline characteristics

CharacteristicArm 2 (HU Toolbox App) - ProvidersArm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsTotal
Age, Customized
15-17 years
0 Participants23 Participants23 Participants
Age, Customized
18-24 years
0 Participants97 Participants97 Participants
Age, Customized
25-44 years
53 Participants168 Participants221 Participants
Age, Customized
45-64 years
28 Participants5 Participants33 Participants
Age, Customized
65 years and older
5 Participants0 Participants5 Participants
Age, Customized
Unknown
3 Participants0 Participants3 Participants
Annual Income (n, %)
$25,000 or less
166 Participants166 Participants
Annual Income (n, %)
$25,001-$50,000
60 Participants60 Participants
Annual Income (n, %)
$50,001-$100,000+
40 Participants40 Participants
Annual Income (n, %)
Missing
27 Participants27 Participants
Education (n, %)
College Graduate+
66 Participants66 Participants
Education (n, %)
High school graduate or some college/vocational training
176 Participants176 Participants
Education (n, %)
Less than high school/Some high school
43 Participants43 Participants
Education (n, %)
Missing
8 Participants8 Participants
Employment
Employed
0 Participants95 Participants95 Participants
Employment
Missing
0 Participants8 Participants8 Participants
Employment
Not employed by choice (homemaker, student, retired)
0 Participants75 Participants75 Participants
Employment
Not employed, other (laid off/sick leave/maternity leave, unemployed, disabled)
0 Participants115 Participants115 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
84 Participants11 Participants95 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
3 Participants279 Participants282 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
2 Participants3 Participants5 Participants
Marital Status
Divorced/separated/widowed
0 Participants11 Participants11 Participants
Marital Status
Married/living as married
0 Participants30 Participants30 Participants
Marital Status
Missing
0 Participants10 Participants10 Participants
Marital Status
Never married
0 Participants242 Participants242 Participants
Provider Type, n (%)
Chose not to report
4 Participants4 Participants
Provider Type, n (%)
Nurse Practitioner or Physician Assistant
36 Participants36 Participants
Provider Type, n (%)
Physician
49 Participants49 Participants
Race (NIH/OMB)
American Indian or Alaska Native
2 Participants2 Participants4 Participants
Race (NIH/OMB)
Asian
16 Participants1 Participants17 Participants
Race (NIH/OMB)
Black or African American
24 Participants283 Participants307 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants3 Participants3 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants2 Participants2 Participants
Race (NIH/OMB)
White
47 Participants2 Participants49 Participants
Sex/Gender, Customized
Female
65 Participants151 Participants216 Participants
Sex/Gender, Customized
Male
20 Participants141 Participants161 Participants
Sex/Gender, Customized
Unknown
4 Participants1 Participants5 Participants
Sickle cell disease genotype (n, %)
HbSC/HbSβ+- thalassemia/other
0 Participants46 Participants46 Participants
Sickle cell disease genotype (n, %)
HbSS/HbSβ0-thalassemia
0 Participants246 Participants246 Participants
Sickle cell disease genotype (n, %)
Missing
1 Participants1 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
3 / 293
other
Total, other adverse events
0 / 293
serious
Total, serious adverse events
0 / 293

Outcome results

Primary

Mean Change in PDC From Baseline Through 24 Weeks

The primary outcome is the change in the percentage of days covered (PDC) of hydroxyurea, measured by comparing PDC during the 24-week baseline interval (i.e. prior the intervention) with PDC during the 24-week follow-up interval. PDC is calculated as the number of days covered (i.e., days of prescription refill dates and supply of each prescription) divided by the number of days in a treatment time point then multiply by 100 to obtain the PDC as a percentage.

Time frame: baseline (prior to the intervention), week 24

Population: Of the 293 patients enrolled, 235 patients were analyzed. 21 were lost to follow-up, 13 were missing 24-week refill data, 12 had incomplete baseline refill data, 5 were new hydroxyurea starts, 3 involuntarily discontinued hydroxyurea, 2 died, and 2 were withdrawn from the study.

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsMean Change in PDC From Baseline Through 24 Weeks16.3 percentage of daysStandard Deviation 33.1
Secondary

Change Bilirubin

Mean difference between total bilirubin during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 214 patients were analyzed for this outcome as 21 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange Bilirubin-0.09 mg/dLStandard Deviation 0.1
Secondary

Change in Absolute Neutrophil Percentage

Mean difference between neutrophil percentage during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 198 patients were analyzed for this outcome as 37 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Absolute Neutrophil Percentage0.93 percentage of neutrophilsStandard Deviation 1.01
Secondary

Change in Fetal Hemoglobin

Mean difference between fetal hemoglobin during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the outcome analysis, 137 patients were analyzed for this outcome as 98 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Fetal Hemoglobin1.78 percentage of Hemoglobin FStandard Deviation 0.76
Secondary

Change in Healthy Literacy

Mean difference between responses to the Single item literacy screener (SILS) during baseline and follow-up when the responses, Never, rarely, sometimes, often, and always are coded 0 through 4; score is the sum of responses to 8 questions (score range: 0-32). The Single item literacy screener (SILS) has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score means lower health literacy.

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 183 patients were analyzed for this outcome as 52 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Healthy Literacy0.05 score on a scaleStandard Deviation 1
Secondary

Change in Hemoglobin Concentration

Mean difference between hemoglobin during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the outcome analysis, 228 patients were analyzed for this outcome as 7 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Hemoglobin Concentration0.05 g/dLStandard Deviation 0.07
Secondary

Change in Mean Corpuscular Volume (MCV)

Mean difference between MCV during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the outcome analysis, 228 patients were analyzed for this outcome as 7 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Mean Corpuscular Volume (MCV)0.70 fLStandard Deviation 0.5
Secondary

Change in Mean Plasma Lactate Dehydrogenase (LDH)

Mean difference between LDH during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 101 patients were analyzed for this outcome as 134 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Mean Plasma Lactate Dehydrogenase (LDH)-18.8 IU/LStandard Deviation 18.5
Secondary

Change in Patient Reported Pain Frequency and Severity

Mean difference between scores on the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity scale during baseline and follow-up when the responses, never, rarely, sometimes, often, and always are coded 0 through 4. Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity Scale has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score indicates worse pain.

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 187 patients were analyzed for this outcome as 48 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Patient Reported Pain Frequency and Severity0 score on a scaleStandard Deviation 1.24
Secondary

Change in Patient Reported Pain Impact: ASCQ-Me Pain Impact Scale

Mean difference between scores on the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity Scale during baseline and follow-up when the responses, never, rarely, sometimes, often, and always are coded 0 through 4. Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Pain Episode Frequency and Severity Scale has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score indicates worse pain.

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 187 patients were analyzed for this outcome as 48 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Patient Reported Pain Impact: ASCQ-Me Pain Impact Scale-0.005 score on a scaleStandard Deviation 1.09
Secondary

Change in Patient Reported Pain Quality

Mean difference between scores on the Patient Reported Outcomes Information System (PROMIS) Pain Quality Scale during baseline and follow-up when the responses, never, rarely, sometimes, often, and always are coded 0 through 4. The Patient Reported Outcomes Information System (PROMIS) Pain Quality Scale has a minimum value of never, coded as 0, and a maximum value of always, coded as 4 for analysis. A higher score indicates worse pain.

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 182 patients were analyzed for this outcome as 53 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Patient Reported Pain Quality0.15 score on a scaleStandard Deviation 0.15
Secondary

Change in Perceived Self-efficacy

Mean difference between responses to the Patient reported outcomes information system (PROMIS) medication self-efficacy short form during baseline and follow-up when the responses, I am not at all confident, I am a little confident, I am somewhat confident, I am quite confident, and I am very confident are coded 0 to 4. The Patient Reported Outcomes Information System (PROMIS) Pain Quality Scale has a minimum value of I am not at all confident, coded as 0, and a maximum value of I am very confident, coded as 4 for analysis. A higher score indicates greater self-efficacy.

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the primary outcome analysis, 232 patients were analyzed for this outcome as 2 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Perceived Self-efficacy-3.9 score on a scaleStandard Deviation 12.8
Secondary

Change in Provider Knowledge of Hydroxyurea (HU) Prescription Guidelines

Mean difference between responses during baseline and follow-up to the 5 questions on the Hydroxyurea Knowledge Scale regarding knowledge of correctly prescribing hydroxyurea. Each question was scored 0 (incorrect response) or 1 (correct) and the 5 scores were summed to produce totals of 0 to 5.

Time frame: baseline, 9 months

Population: 69 of 89 providers analyzed because of missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Provider Knowledge of Hydroxyurea (HU) Prescription Guidelines0.14 number of correctly answered questionsStandard Deviation 0.71
Secondary

Change in Rate of Emergency Room Visits Per Patient in the Last 24 Weeks

Mean difference between number of emergency room visits during the baseline interval and during the follow-up interval.

Time frame: baseline, 24 weeks

Population: Of the 293 patients enrolled, 235 patients were analyzed for this outcome as 58 did not complete the 24 weeks

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Rate of Emergency Room Visits Per Patient in the Last 24 Weeks0.35 emergency room visits per patientStandard Deviation 1.94
Secondary

Change in Rate of Hospitalization Per Patient in the Last 24 Weeks

Mean difference between number of hospitalizations during the baseline interval and during the follow-up interval.

Time frame: baseline, 24 weeks

Population: Of the 293 patients enrolled, 235 patients were analyzed for this outcome as 58 did not complete the 24 weeks

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Rate of Hospitalization Per Patient in the Last 24 Weeks0.01 Number of hospitalizations per patientsStandard Deviation 0.84
Secondary

Change in Reticulocyte Percentage

Mean difference between reticulocyte percentage during the baseline interval and during the follow-up interval

Time frame: baseline, 24 weeks

Population: Of the 235 patients included in the outcome analysis, 193 patients were analyzed for this outcome as 42 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange in Reticulocyte Percentage-1.48 percentage of reticulocytesStandard Deviation 0.49
Secondary

Change is Provider Self-efficacy of Hydroxyurea (HU) Prescription Guidelines

Hydroxyurea self-efficacy scale (comfort level and perceived effectiveness in prescribing hydroxyurea) with responses scored 0 to 4. The Hydroxyurea self-efficacy scale has a minimum value of very uncomfortable, coded as 0 and a maximum value of very comfortable, coded as 4. A higher score indicates greater self-efficacy.

Time frame: baseline, 9 months

Population: 69 of 89 providers analyzed because of missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsChange is Provider Self-efficacy of Hydroxyurea (HU) Prescription Guidelines0.07 score on a scaleStandard Deviation 1.71
Secondary

Implementation of InCharge Health App.

Count of all enrolled patients who used the InCharge Health app at least once during the study period among all enrolled

Time frame: baseline, 24 weeks

Population: 293 participants data were analyzed.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsImplementation of InCharge Health App.240 Participants
Secondary

Mean Change in PDC From Baseline Through 36 Weeks

This outcome is the change in the percentage of days covered (PDC) of hydroxyurea, measured by comparing PDC during the 24-week baseline interval (i.e. prior the intervention) with PDC during the 36-week follow-up interval. PDC is calculated as the number of days covered (i.e., days of prescription refill dates and supply of each prescription) divided by the number of days in a treatment time point then multiply by 100 to obtain the PDC as a percentage.

Time frame: baseline (prior to the intervention), week 36

Population: Of the 235 patients included in the primary outcome analysis, 232 patients were analyzed for this outcome as 2 had missing data

ArmMeasureValue (MEAN)Dispersion
Arm 1 (InCharge Health App) - Sickle Cell Disease (SCD) PatientsMean Change in PDC From Baseline Through 36 Weeks11.75 percentage of days coveredStandard Deviation 33.65

Source: ClinicalTrials.gov · Data processed: Feb 18, 2026