Healthcare is shifting from “hope they remember” to measurable medication adherence. 💊📡
know more:zurl.co/nfRNC
#SmidnyaTechnologies #TrackAndTrace #RFID #SmartHealthcare #MedicationAdherence #DigitalHealth #HealthTech #IoT #RemoteMonitoring #CaregiverSupport

Healthcare is shifting from “hope they remember” to measurable medication adherence. 💊📡
know more:zurl.co/Riys7
#Smidmart #TrackAndTrace #RFID #SmartHealthcare #MedicationAdherence #DigitalHealth #HealthTech #IoT #RemoteMonitoring #CaregiverSupport #ElderCare

A Short Patient-Reported Outcome Measure for Oral Anti#Cancer Agents: Multicenter Observational Study Background: The Michigan Oncology Quality Consortium developed a rapid patient-reported outcome measure (RapidPRO) focused on oral anti#Cancer agents (OAAs). We piloted this measure in 6 oncology practices to determine its usefulness in representing the symptom experience and medication adherence among individuals taking OAAs. It is common in oncology for #Cancer-specific approaches to be used. We sought to use 1 instrument for all OAAs as a means to simplify future implementation in practice. Objective: This study aimed to describe the use of RapidPRO in practice and quantify clinical metrics in RapidPRO for symptom burden, confidence to manage symptoms, confidence to know when to seek care, and OAA medication adherence. Methods: This observational study was conducted across 6 practices from July 2016 to December 2018. RapidPRO assesses symptoms, patient confidence, and medication adherence with respect to OAAs. Results: There were 2252 RapidPROs completed by 695 patients. Among individuals completing at least 2 RapidPROs, the median number of days between them was 28 (IQR 14-42). Of the 2252 completed RapidPROs, 1213 (53.9%) reported at least one moderate or severe symptom, and 28% (485/1705) reported medication nonadherence. Most bothersome symptoms (MBSs; n=1045) were reported in 35.1% (790/2252) of the RapidPROs, and 46.5% (323/695) of all patients reported an MBS. In exploratory analyses, RapidPROs that reported a moderate or severe symptom or lower confidence to manage symptoms were more likely to be nonadherent to OAA therapy. The most common reason for medication nonadherence was “experienced side effects.” Conclusions: These results show that most RapidPROs reported at least one moderate or severe symptom and 28% (485/1705) reported medication nonadherence. As well, RapidPRO was able to capture most patients’ MBSs. By implementing RapidPRO, practices can identify patients who experience symptoms, as well as those who report medication nonadherence.

JMIR Formative Res: A Short Patient-Reported Outcome Measure for Oral Anti#Cancer Agents: Multicenter Observational Study #CancerResearch #Oncology #PatientReportedOutcomes #CancerCare #MedicationAdherence

Exploring Strategies for a Digital Tool to Support Medication Adherence Among Adolescents and Young Adults Undergoing Hematopoietic Stem Cell Transplant and Their Care Partners: Qualitative Formative Study Background: Allogeneic hematopoietic stem cell transplant (HCT) is a complex but essential treatment for malignant and nonmalignant conditions, requiring strict posttransplant adherence to immunosuppressant medications to prevent complications such as graft-versus-host disease. Adolescents and young adults undergoing HCT face unique challenges, including balancing growing independence with ongoing reliance on care partners, often parents. Medication adherence in this group is often suboptimal, and few interventions address adolescent and young adult–care partner dyads. To address this gap, we aim to develop a mobile health (mHealth) app that engages both the patients and care partner to improve adherence. Objective: As formative research for early-stage intervention development, this study aimed to (1) explore current HCT medication adherence strategies and challenges; (2) understand attitudes toward digital technology, including dyadic perspectives on app use to support adherence; and (3) assess adolescent and young adult–care partner relationships, including views on care partner involvement. This process was intended to inform the design of a relevant, user-centered mHealth app. Methods: Eligible participants included adolescents and young adult patients aged 12-39 years and primary care partners, such as parents, involved in medication management. Participants were recruited from a large academic medical center through direct outreach and electronic health records. Data collection involved 2 focus groups (6 dyads and 2 additional adolescents and young adults), 4 individual interviews (2 patients and 2 care partners), and 6 dyadic interviews. Semistructured sessions (in person or virtual) gathered feedback on medication adherence practices and app design preferences. All sessions were audio recorded with consent and professionally transcribed. Qualitative data were analyzed systematically: transcripts were deidentified, coded using both inductive and deductive strategies, and themes were refined through team consensus. Patterns were organized into major themes, and representative quotations were selected to illustrate findings. Data management was facilitated by NVivo (version 13; Lumivero) software. Results: We included 28 participants (15 adolescents and young adults and 13 care partners). The median age of adolescents and young adults was 18 (range 13-39) years and 53% (8/15) were female. Adolescents and young adults were 47% (7/15) White, 40% (6/15) Black, and 13% (2/15) mixed race. Care partners’ median age was 48 (range 36-72) years, with 92% (12/13) female and 77% (10/13) White. Three principal themes emerged: (1) existing reminders and organizational tools are often insufficient for consistent adherence; (2) adherence barriers are multifaceted, often involving autonomy vs care partner support; and (3) both adolescents and young adults and care partners showed strong interest in a dyadic digital health intervention to foster collaboration and support shared adherence goals. Conclusions: This formative study highlights the complex dynamics of medication adherence in adolescent and young adult–care partner dyads and supports the need for a dyadic mHealth app to enhance adherence, collaboration, and relationship quality.

JMIR Formative Res: Exploring Strategies for a Digital Tool to Support Medication Adherence Among Adolescents and Young Adults Undergoing Hematopoietic Stem Cell Transplant and Their Care Partners:… #MedicationAdherence #HematopoieticStemCellTransplant #mHealth #PatientEngagement #AdolescentHealth

It’s American Heart Month ❤️
Pharmacy professionals help patients protect their hearts every day—through blood pressure support, cholesterol management, diabetes care, and medication counseling.
#AmericanHeartMonth #HeartHealth #PSWProud #WisconsinPharmacy #MedicationAdherence

Subcommittee backs Del. Delaney’s bill to cut insulin and diabetes supply cost‑sharing to $35 HB 1214 would reduce Virginia's insulin cap from $50 to $35 per 30‑day supply and extend a $35 aggregate cap to diabetes supplies. The subcommittee reported the bill after patient advocates and clinicians testified that reduced cost shares improve adherence and outcomes.

Virginia is on the verge of making diabetes management more affordable by slashing insulin costs to just $35 per month—could this be the breakthrough patients have been waiting for?

Learn more here!

#VA #MedicationAdherence #CitizenPortal #ChronicConditionSupport #VirginiaDiabetes

On World Cancer Day, we stand together to raise awareness, support those affected, and remind everyone that prevention, early detection, and compassion can save lives. 🎗️

#WorldCancerDay #MtLaurelNJ #Homecare #MedicationAdherence #SeniorSafety #ElderSupport #Awareness #4February

Little moments of help go a long way. With non-medical care, seniors enjoy freedom and security in familiar surroundings. 🌼

📞 856-463-0992
✉️ info@angelsofamericare.com
🌐 www.angelsofamericare.com

#MtLaurelNJ #Homecare #MedicationAdherence #SeniorSafety #ElderSupport

Choosing the right care should be easy and reassuring. We’ll help you find a plan that keeps your loved one happy, safe, and cared for at home. 🏡

👉 Call us today for a personalized home care plan!
📞 856-463-0992

#MtLaurelNJ #Homecare #MedicationAdherence #SeniorSafety #ElderSupport

Every conversation brings warmth. Our companionship care helps reduce isolation and keeps seniors active and emotionally well. 🌿

#MtLaurelNJ #Homecare #MedicationAdherence #SeniorSafety #ElderSupport

💊 Medication routines don’t have to be stressful. Our care helps your loved one stay consistent, organized, and safe every day. 🌼 Call today to learn more about our medication adherence support! 🌻

#MtLaurelNJ #Homecare #MedicationAdherence #SeniorSafety #ElderSupport

Why pharmacy-based engagement is pharma’s untapped adherence strategy Pharma companies can work alongside pharmacists to deliver personalised outreach that informs patient treatment decisions and drives adherence.

#pharmacybasedengagement #adherencestrategy #Sales #Marketing #prescriptiondrugs #prescriptiondrugmarketing #Medicationadherence #vaccineadherence #pointofcare #pharmaceuticalmarketers #pharmacists #pharmapharmacistengagement #pointofcaremarketing #Pharmacies #communitypharmacy
zurl.co/aeWPm

The future will be connected, caring & confidently monitored.
At Smidnya Technologies, we believe elderly care is entering a new era —
one where safety isn’t supervised…
know more : zurl.co/ApKaY
#SmidnyaTechnologies#TrackAndTrace#ElderlyCare
#MedicationAdherence

📢 #NewResearch alert

💊 Medication adherence is critical for chronic disease management
🔍 Review maps current measurement methods and offers recommendations

👉 Read more: mdpi.com/2039-4403/15...

#ChronicDisease #MedicationAdherence #HealthcareResearch

We had a great time at the National #SocialCare Conference 2025!

Read our latest blog to discover projects that are building digital confidence, empowering independence through #MedicationAdherence, and transforming training with #VR.

Read our insights: lshubwales.com/blogs/reflec...

#NSCC25

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#Rybelsus #DiabetesManagement #Type2Diabetes #GLP1Agonist #BloodSugarControl #HealthyLiving #DiabetesAwareness #WeightLossJourney #MedicationAdherence #ChronicIllness #HealthTips #WellnessJourney #DiabetesSupport #LifestyleChanges #PatientEducation #Pharmaceuticals #HealthInnovation

Treatment Complexity May Lower Medication Adherence in T2D Non-adherence to at least one prescribed antidiabetic drug is highly common among patients with type 2 diabetes and rises with the complexity of antidiabetic treatment.

A medication is only as good as adherence.

This is hardly a surprising result: patients less likely to be completely adherent to more complicated regimens. But it's something worth repeating.

#Diabetes #MedicationAdherence #Medicine #MedComms

www.medscape.com/viewarticle/...

How Virtual Assistants Can Improve Patient Follow-ups and Reminders?

staffingly.com/how-virtual-...

#VirtualAssistants, #PatientFollowUp, #HealthcareAutomation, #AppointmentReminders, #MedicationAdherence, #PatientEngagement, #Telehealth, #HospitalEfficiency, #EHRIntegration, #HealthcareTechnology

Curious about how to evaluate and implement #medicationadherence interventions effectively? 💊

The ESPACOMP 2025 Workshop (12 Nov 2025, Malaga 🇪🇸) offers a hands-on, interactive opportunity to explore hybrid designs for your work.

👉https://www.espacomp.eu/annual-meetings/ #impsci

📢 Join the ESPACOMP 2025 workshop in Malaga (12 Nov)! Hands-on training on evaluating & implementing medication adherence interventions with hybrid designs.

👉 Don’t miss the chance to join, learn, and exchange ideas with colleagues in the field!
#MedicationAdherence #ImpSci www.espacomp.eu

Exploring Young Adults' Experiences and Beliefs in Asthma Medication Management: Pilot Qualitative Study Comparing Human and Multiple AI Thematic Analysis Background: Young adults take their asthma maintenance medication 67% of the time or less. Understanding the specific needs and behaviors of young adults with asthma is essential for developing targeted interventions to improve disease self-management. artificial intelligence (#AI) has demonstrated its utility in summarizing and identifying patterns in qualitative research and may support or augment human coding efforts. However, there is pause literature to support this assertion. Objective: The objective of this study is to begin to explore the medication management related needs of young adults with asthma via a pilot #feasibility study. We aim to understand how to best assist young adults with asthma self-management and to identify potential areas where digital health interventions can provide support. We further aimed to understand the comparative outcome of human versus multiple Ai platforms in performing thematic analysis. Methods: This study purposefully sampled young adults between the ages of 18 and 29 years old who had a prescription for an inhaled corticosteroid and were either students or staff of a large metropolitan University in northeastern USA. Semi-structured interviews lasting 40 minutes on average were conducted with four participants via a teleconferencing application to elicit young adults’ opinions on the topic. Interviews were recorded and transcribed verbatim using Otter.ai. Investigators listened to the recording to confirm the accuracy of transcriptions and to make corrections when necessary. After performing a second round of line-by-line coding, the codes were reviewed by investigators and grouped into broader, overarching themes. All investigators reviewed and discussed the final codes. Human qualitative data-analyses were performed using NVivo 14 software (QSR International). After completing human analyses, the investigators performed thematic analysis with multiple Ai platforms (Google Gemini, Microsoft Copilot, and ChatGPT) to compare the final themes with investigator derived themes. Results: Human analysis yielded four themes: Support from clinicians, social support, digital self-management support, and educational support. The Ai-based analysis also generated similar themes with different labels. The level of overlap on the underlying concept between humans, Gemini, Copilot, and ChatGPT was high, accounting for the fact that, although the specific labels differed, they referred to the same concept. Conclusions: Findings from our pilot exploratory study offer insights into the necessity for a holistic approach in supporting young adults with asthma. Based on the health belief model, if the identified multi-faceted needs are addressed, healthcare systems may support medication adherence and improve health outcomes for this understudied patient population. Our pilot study also offers preliminary findings that artificial intelligence (#AI) may be leveraged upon for successful thematic analysis of qualitative data with appropriate caution.

JMIR Formative Res: Exploring Young Adults' Experiences and Beliefs in Asthma Medication Management: Pilot Qualitative Study Comparing Human and Multiple AI Thematic Analysis #AsthmaManagement #YoungAdults #MedicationAdherence #DigitalHealth #HealthInterventions

We’re delighted to share that Digital #MedicationAdherence and #VR Integrated Care Home Training are shortlisted as #NHSWalesAwards2025 finalists!

Congratulations to both incredible projects and teams improving quality, care, and patient outcomes.

Read more: lshubwales.com/news/two-soc...

📍Our third user testing session at Affinity care (Shipley Medical Practice)
We worked with GPs, nurses & pharmacists using IMAB-Qi in a simulated review to support medication adherence.
Big thanks to the Affinity Care team for the warm welcome & great feedback!
#IMABQi_Study #MedicationAdherence

Global Medicine Blister Market Trends, Analysis & Forecast 2025 Discover key insights into the global medicine blister market, trends, growth drivers, and forecasts. Get expert analysis to guide strategic decisions in pharma packaging.

Rising chronic illness cases, stringent safety norms, and eco-packaging trends are accelerating demand for blister packaging across pharmaceuticals.
#BlisterPackaging #PharmaPackaging #SmartPacks #MedicationAdherence #EcoPackaging #ChildSafetyPackaging #HealthcareInnovation

Global Medicine Blister Market Trends, Analysis & Forecast 2025 Discover key insights into the global medicine blister market, trends, growth drivers, and forecasts. Get expert analysis to guide strategic decisions in pharma packaging.

Blister Packaging Market Forecasted to Reach USD 25.4 Billion by 2032

#BlisterPackaging #PharmaPackaging #SmartPacks #MedicationAdherence #EcoPackaging #ChildSafetyPackaging #HealthcareInnovation

Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study Background: Declining medication adherence remains a critical healthcare issue, often assessed through unreliable self-reporting methods. Wearable devices (WDs) may offer an objective means to improve adherence monitoring by continuously recording physiological and activity data. Objective: This study aimed to develop and internally validate personalized predictive models for identifying missed medication doses using WD-derived data. Methods: A 30-day prospective observational study was conducted with 8 participants who wore Apple Watches and used a dedicated iOS application. The application collected demographics, medication details, psychological factors, mealtimes, and daily missed dose events. WDs recorded time-series data (activity, heart rate, sleep) at 3-minute intervals. Data were aggregated into 1-hour segments, and lag (6- and 12-hour) as well as rolling (24-hour) features were generated. Light Gradient Boosting Machine models were constructed for each individual’s dosing regimen if the missed dose rate exceeded 20%. Two modeling approaches were compared: a Group Cross-Validation (CV) model that grouped data by day to avoid data leakage from rolling features, and a Non-rolling Feature model that excluded rolling features and used leave-one-out CV. F1 score, accuracy, recall, and precision were assessed. Results: Of the 15 enrolled participants, 8 completed the study; 4 had a missed dose rate above 20%. In these 4 individuals, the Group CV model achieved F1 scores of 0.435 to 0.902, accuracy ranging from 0.711 to 0.911, recall from 0.278 to 0.822, and precision of 1.000 for the most robust regimens. The Non-rolling Feature model yielded F1 scores of 0.667 to 0.910, accuracy ranging from 0.800 to 0.906, recall from 0.500 to 0.835, and precision of 1.000. Morning dosing regimens generally showed higher predictive performance than evening or afternoon. Time-series features, particularly those reflecting 6-, 12-, and 24-hour patterns, emerged as key predictors, indicating that physiological and lifestyle variations prior to dosing strongly influenced missed dose events. Conclusions: Personalized predictive models using WD-derived data demonstrated high precision for detecting missed medication doses, especially in morning and evening regimens. These findings underscore the #feasibility of employing objective physiological and activity data to forecast nonadherence and highlight the role of lifestyle patterns in determining missed doses. Future work should involve larger populations for external validation, strategies to improve recall—especially for clinically critical medications—and careful consideration of real-world implementation challenges.

JMIR Formative Res: Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study #MedicationAdherence #WearableDevices #HealthTech #PredictiveAnalytics #DigitalHealth

MPR or GAP? What’s the best way to measure medication adherence using prescription data?
A study by Vink et al. (2009) found both MPRY & GAP are effective, especially when calculated at the drug class level.
Read the full article here:
onlinelibrary.wiley.com/doi/abs/10.1...
#MedicationAdherence

🔬 Weekly Research Insights: Understanding Hypertension Management with Self Management and Telemonitoring! 📊💡
📚 Read the full article here: sciencedirect.com/science/arti...
#IMABQi_Study #NIHR #MedicationAdherence #BehavioralScience

#ISPOR #MedicationAdherence #ValueinHealth #insights #nonadherence #healthoutcomes #assessingmedicationadherence #healthcarebarriers #adherenceinterventions #patientoutcomes #AI #adherenceoutcomes #HTA #dataanalytics #adherencemetrics #Adherenceresearch
www.ispor.org/heor-resourc...

Factors Associated With Low Allopurinol Adherence | Docwire News Researchers examined factors associated with adherence to the urate-lowering therapy (ULT) allopurinol, a cornerstone of gout management.

A study identified psychosocial factors associated with allopurinol adherence. #nephrology #gout #medicationadherence www.docwirenews.com/post/factors...