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Development of the TBQ+D: A Novel Patient-Reported Measure of The Burden of Digital Care.

Al Zahidy M, et al. · 2025
PubMed 41030516 ↗DOI: 10.2147/PPA.S540026Patient preference and adherence
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🧠 Lavora su: Mente & vita · lente Traiettoria · il corpo nel tempo
tocca anche 📉 Stabilità nel tempo💊 Terapia
Sviluppo di strumento con test cognitivo (nessuna stima d'effetto: dice che il costrutto esiste, non quanto pesa)
La domanda

Gli strumenti che misurano il peso della cura riescono a vedere il peso dei DISPOSITIVI digitali?

Cosa hanno trovato

No, ed è il motivo per cui è stato costruito il TBQ+D. Partendo da interviste con persone con diabete e da un panel di esperti alla Mayo Clinic, sono stati mappati i buchi del Treatment Burden Questionnaire esistente. Lo strumento finale tiene le 15 domande originali, ne aggiunge 8 nuove e ne modifica 8 per catturare cose che prima non esistevano nei questionari: problemi di sincronizzazione, fastidio fisico dei sensori, malfunzionamenti dei dispositivi. Tre giri di test cognitivi hanno mostrato buona comprensione e pertinenza.

Cosa significa per te

Fino a ieri, se il tuo problema era che il sensore non si sincronizza e la app ti sveglia, nessuno strumento clinico lo registrava — quindi ufficialmente non esisteva. Conta per noi due volte: perché consigliamo la tecnologia, e perché LEO È uno di quegli strumenti digitali. Un'app che chiede di registrare tutto aggiunge carico, e questo carico ora ha un nome e una misura.

Abstract (in lingua originale)

BACKGROUND: Patients with diabetes manage complex treatment regimens that include the use of digital medicine tools. Existing instruments do not explicitly capture treatment burden, i.e., workload and its effect on patient's quality of life, from using digital medicine tools. OBJECTIVE: To engage patients and clinical experts in adapting the Treatment Burden Questionnaire (TBQ) to capture digital treatment burden. The adapted instrument underwent cognitive testing and refinements to ensure it captures the burden of using digital medicine tools in diabetes self-management. METHODS: This two-phase study was conducted with adults with diabetes at the Division of Endocrinology at Mayo Clinic (Rochester, MN). First, we mapped themes from prior concept elicitation interviews to existing TBQ items to identify content gaps related to digital burden. Based on these gaps, the study team and expert panel generated new items and adapted existing ones to better reflect the workload and burdens from using digital medicine tools. The resulting instrument underwent three rounds of cognitive testing with adult patients living with diabetes, using a think-aloud protocol to assess clarity, relevance, and comprehensiveness. Results of cognitive testing informed iterative refinements across three rounds of interviews, leading to improved clarity, reduced redundancy, and improved relevance of items. RESULTS: The final TBQ+D retained the original 15-item TBQ structure, added 8 new items, and modified 8 extant ones to capture burden of digital care (e.g, syncing issues, discomfort from sensors, and device malfunctions). Cognitive testing demonstrated strong content relevance and patient comprehension. CONCLUSION: The TBQ+D can measure digital treatment burden in patients with diabetes. Limitations include a relatively homogeneous sample drawn from a single center. Next steps include field testing for validation across diverse populations and settings.
Testo integrale (Open Access, in lingua originale)

Background

Chronic conditions, such as diabetes, affect over 100 million adults in the United States,1 placing a significant workload on patients to access care, follow treatment plans, and engage in daily self-management.2–6 For patients living with diabetes, this often includes monitoring blood glucose, making self-management decisions, implementing insulin dosing, and managing food choices and exercise.7–10 This cumulative workload, and its impact on a patient’s quality of life is known as treatment burden.7,11–14 Higher treatment burden is linked with poorer health outcomes, including reduced adherence to care plans and increased hospitalization rates.7,15

In response to these challenges, digital medicine tools and applications that aim at supporting self-management—such as continuous glucose monitors (CGMs), insulin pumps, patient portals, mobile apps, and telemedicine—have been increasingly integrated into diabetes care.16–20 These offer potential benefits by automatic or supporting self-management tasks.17,19–23 However, they can also introduce new work and source of strain, including technical malfunction, usability issues, and information overload, particularly those less familiar with or with limited access to digital technology.24,25 In our prior work patients describe how digital tools sometimes complicated rather than eased the workload of managing chronic illness.26

Despite this growing digital landscape, existing instruments that assess treatment burden such as the Treatment Burden Questionnaire (TBQ) and Patient Experience with Treatment and Self-management (PETS) do not capture the burden associated with digital tools.5,13,15,24,27 This gap hinders our ability to understand and address the challenges patients face by using digital medicine tools.26

To fill this gap and capture the burden of using digital medicine tools, the Treatment Burden Questionnaire Plus Digital (TBQ+D) was developed to capture the burden of treatment in patients living with diabetes, including the burden of digital medicine tools.

Methods

The study builds on previously reported concept elicitation interviews of patient work and experience of using digital tools.26 This report includes two phases (Figure 1): (1) mapping concept elicitation themes to the existing TBQ items and generating new or modified items and (2) cognitive testing and refinement to address gaps. Figure 1The process used to develop the Treatment Burden Questionnaire + Digital (TBQ+D). Bold indicates the three main phases: Concept Elicitation, Item Generation, and Cognitive Testing.

The process used to develop the Treatment Burden Questionnaire + Digital (TBQ+D). Bold indicates the three main phases: Concept Elicitation, Item Generation, and Cognitive Testing.

For both of the phases, adult patients aged 18 years or older with a diagnosis of type 1 or type 2 diabetes and attending the diabetes clinic in the Division of Endocrinology at Mayo Clinic (Rochester, Minnesota) were eligible to participate if they used at least one digital medicine tool for diabetes management (eg glucometer, insulin smartpens, pumps, etc.), were proficient in English, and were able to complete informed consent (ie, had no major functional impairment). Patients whose caregivers were the primary users of digital tools or who had significant cognitive or sensory impairments were excluded.

Eligible patients were identified from the daily appointment calendar and approached in-person by study staff. Recruitment aimed to maximize diversity in diabetes type (type 1 or type 2) and intensity of digital tool use which was measured using the Digital Medicine Tools Intensity Scale—a 7-point scale ranging from “none” to “maximal” (Figure 2).26 Figure 2Digital Medicine Tools Intensity Scale.

To guide item generation, we conducted a structured mapping exercise linking qualitative data from the concept elicitation study26 to items in the original TBQ (Table 1). Using content analysis, two team members reviewed patient responses to each TBQ item and coded themes that reflected how digital tools impacted the same burden domains. When novel burden domains emerged that were not addressed by existing TBQ items, new items were generated guided by the original item stems and adapted to reflect the digital context. A multidisciplinary expert panel reviewed all proposed additions and modifications to ensure conceptual clarity and relevance prior to cognitive testing.Table 1Mapping Burden of Digital Tool Themes to TBQ+D ItemsThemeExamplesCorresponding TBQ+D ItemItem TypePhysical ImpactDiscomfort due to the size, shape, or fit of devices (eg, insulin pumps or continuous glucose monitoring systems), including pain, bruising, scarring, sleep disruption, or device disconnection.“The size, shape, or fit of your digital health tools…”AdaptedDependence on TechnologyStruggles remembering to use or interact with tools; feeling burdened by constant reminders of illness; discomfort with automatic control of care by devices.“The number of times you interact.”Adapted + New“The need for my digital health tools reminds me.”“Giving control of your health to digital devices.”Technical & Maintenance BurdenChallenges with charging, syncing, updating, managing alarms, and general upkeep.“The effort you make to remember to manage your digital health tools…”Adapted“Self-monitoring: frequency…”Precaution & Travel PlanningNeed for planning around tool use while traveling; avoiding certain activities; preparing backups (eg, swimming, flying, etc.).“The necessary precautions when using your digital health tools…”AdaptedScheduling & Appointment BurdenFrustrations with scheduling medical visits via portals; difficulty accessing telehealth; preference for human interaction.“Doctor visits and other appointments using digital health tools…”AdaptedCommunication with ProvidersDelayed responses from portals; feeling unheard or having impersonal interactions during telehealth.“The difficulties you could have in your relationships with healthcare providers while using digital health tools…”AdaptedAdministrative ComplexityTrouble navigating automated systems or replacing devices; confusion with system interfaces.“The administrative burden related to your digital tools…”AdaptedFinancial BurdenHigh costs, insurance issues, and maintenance expenses of digital tools.“The financial burden associated with your digital health tools…”AdaptedDiet & Nutrition TrackingBurden of logging meals or dietary info into apps.“The burden related to dietary changes (eg, using applications to track diet)…”AdaptedPhysical Activity TrackingMixed experiences with tracking steps, workouts, etc.; some find it useful; others find it frustrating.“The burden related to doctors’ recommendations to practice or track physical activity using digital tools…”AdaptedSocial ImpactNeeding help from others, feeling judged in public, or experiencing discomfort with alarms or injections in social settings.“How do your digital health tools impact your relationships…”Adapted + New“The burden related to using your digital health tools discreetly in social/public settings.”Privacy & Security ConcernsWorries about who sees their health data; concerns about sharing information with insurance or through portals.“Your concerns about the privacy and security of your health information when using digital health tools.”NewDevice Malfunction & TroubleshootingFrustration due to software bugs, syncing errors, sensor detachment, or unclear troubleshooting steps.“The challenges you face in troubleshooting technical issues with your digital health tools.”New

Mapping Burden of Digital Tool Themes to TBQ+D Items

Once the initial draft of the TBQ+D was complete, a new sample of patients was recruited to pre-test the TBQ+D over three rounds of cognitive interviews, each involving up to 10 participants. Participants completed the TBQ+D during in-person private sessions using a think-aloud protocol by the same trained researcher (M.A.Z). As they responded to each item, participants verbalized their thought processes, interpretations, and any confusion they experienced. This approach allowed researchers to assess the clarity, relevance, and wording of the questionnaire items. Participants were asked about difficulties in understanding any items, suggestions for improving item wording or content, and whether any aspects of their digital tool use experience were not captured by the questionnaire.

Survey responses, demographic, and clinical data were managed using REDCap electronic data capture tools hosted at Mayo Clinic (UL1TR002377).

As previously published, themes from the concept elicitation phase were derived from patient interviews exploring the work and experience of using digital medicine tools.26 In the current study, two members of the research team reviewed these published themes and mapped them to items from the TBQ to evaluate item coverage and identify content gaps. When burden domains related to digital care—such as syncing errors, device alarms, technical malfunctions, or data management—were not adequately addressed by existing TBQ items, new items were generated using patient language and contextual detail.

For the cognitive testing phase, data from the think-aloud interviews were analyzed for patient interpretations of specific questions and overall survey clarity, applicability, and completeness. Notes and transcripts were reviewed after each round to identify issues with item interpretation, clarity, or relevance. Revisions were made iteratively following each round, and refinement continued until no new changes were suggested, indicating saturation.

This study was conducted in accordance with the Declaration of Helsinki and was approved by the Mayo Clinic Institutional Review Board (IRB Number 23–007631). Before any study procedures, each participant gave written informed consent.

Results

Themes informing item development were derived from a previously published concept elicitation study.26 In that work, patients described the effort, complexity, and consequences of using digital tools for self-management, identifying sources of burden such as syncing failures, technical malfunctions, device-related discomfort, and frequent alerts.

For example, the TBQ item on “pain or discomfort from device” was expanded to include discomfort specific to sensor insertions, allergic reactions to adhesives, and scarring from continuous glucose monitors. Other examples, such as device malfunctions, syncing errors, and disruptions from frequent alarms, led to the generation of new items.

Informed by these themes, eight new items were developed, and several original TBQ items were refined to incorporate digital-specific examples (eg, discomfort from sensors or issues with online scheduling). Table 1 presents a theme-to-item mapping that illustrates how patient feedback guided the adaptation process.

Between April and May 2024, 24 eligible patients were approached to participate in cognitive testing, with 20 consenting (median age: 57 years, IQR: 36–67; 60% female; 40% with type 2 diabetes) (Table 2). Four patients declined due to time constraints. Participants represented a range of digital medicine tool use intensities, with 8 (40%) categorized as maximal-intensity users.Table 2Patient CharacteristicsPatient CharacteristicsTotal (N=20)Age at enrollment, Median (IQR)57 (36, 67)Gender, nFemale12Male8Race, nWhite19Black or African American1Hispanic or Latino ethnicity, n1Body Mass Index, Median (IQR)31 (25, 35)Diabetes type, nType 112Type 28Treatment, nDiet and activity20Medications, not insulin6Insulin, not intensive5Once-daily insulin alone3Once-daily insulin plus fast-acting corrections2Insulin, intensive16Basal-bolus insulin7Continuous insulin infusion (pump)9HbA1c levels, Median (IQR)7.4 (6.5, 8.2)Hypoglycemia documented in past 6 months, nNo4Not severe15Severe (requiring third-party assistance)1Health insurance, nPublic (Medicare, Medicaid)9Private11Intensity of digital use for self-management, nMinimal (1)3Low (2,3)2Moderate (4,5)7Maximal (6,7)8Maximum academic level, n11th grade1Some college, no degree1Associate degree3Bachelor’s degree10Master’s degree4Professional school degree1Subjective social status*, nHigh11Low9Notes: *Subjective social status was measured using the MacArthur Scale of Subjective Social Status, a 10-rung ladder scored; respondents placing themselves on the top half of the ladder were classified as “high” status and those on the bottom half as “low” status.5Abbreviations: IQR, interquartile range; HbA1c, hemoglobin A1c.

Notes: *Subjective social status was measured using the MacArthur Scale of Subjective Social Status, a 10-rung ladder scored; respondents placing themselves on the top half of the ladder were classified as “high” status and those on the bottom half as “low” status.5

Abbreviations: IQR, interquartile range; HbA1c, hemoglobin A1c.

The TBQ+D was refined across three rounds of cognitive interviews with up to 10 participants per round. Revisions after each round are summarized in Figure 3. Refinements focused on improving clarity, resolving redundancy, and enhancing item relevance. Revisions were completed when no additional changes were suggested, indicating saturation. Table 3 presents the final version of the TBQ+D.Table 3Finalized Items of the TBQ+DItem No.Item1How much of a problem is the taste, shape, or size of your pills?2How much of a problem are the annoyances caused by your injections (For example: bleeding, bruising, or scarring)?3How much of a problem is the number of times that you should take your medication daily?4How much of a problem are the efforts you make to help you remember to take your medications (For example: managing your treatment when away from home, preparing pillboxes, or setting reminders on your phone)?5How much of a problem is it to take the necessary precautions when taking your medication (For example: taking your medication at specific times of the day or meal or being unable to do certain things after taking medications such as driving or lying down)?6How much of a problem is it to arrange medical appointments (finding and scheduling doctor visits, telehealth visits, lab tests, and other exams) and to reorganize your schedule around these appointments (For example: coordinating fasting blood draws)?7How much of a problem is it to attend doctor’s visits and other office visits: given their frequency and time spent participating in these visits? 8How much of a problem is it to complete lab tests and other exams: given their frequency, time spent and associated nuisances or inconveniences (For example: getting your blood drawn or checking your lab results on the patient portal)? 9How much of a problem are the difficulties you have in your relationships with healthcare professionals (For example: feeling not listened to enough, not taken seriously, or feeling uneasy or disconnected during telehealth visits)? 10How much of a problem is the time and effort required for self-monitoring: given their frequency, time spent and associated nuisances or inconveniences (For example: taking your blood pressure or keeping diary for your diet)? 11How much of a problem is the administrative burden related to healthcare (For example: managing account details and passwords, and filling out paperwork or online forms for prior authorizations, reimbursements, and device orders or replacements)?12The administrative burden related to healthcare (For example: keeping track of account details and passwords, filling out paperwork/online forms or making calls to arrange for hospitalizations, prior authorizations, reimbursements, social services, or device orders/replacements)?13How much of a problem is the financial burden associated with your healthcare (For example: paying for treatments or providers not covered by insurance or out-of-pocket expenses like the cost of devices or device replacements)?14How much of a problem is it to make changes in eating and other habits (For example: avoiding certain foods or alcohol, having to quit smoking.)?15How much of a problem is it to follow doctors’ recommendations to practice physical activity (For example: walking, jogging, swimming…)?16How much of a problem is how your healthcare affects your relationships with others (For example: Having to rely on family and friends for assistance or needing to educate them about your condition)?17How much of a problem is it to manage your health discreetly (For example: checking blood sugar levels or administering injections in public, the visibility of your devices, or concerns about being judged)? 18How much of a problem is the privacy and security of your health information (For example: the confidentiality of your health information, managing who can have access to it, sharing your data with insurers in ways that could affect your coverage or claims, or feeling less free to live your life the way you want)? 19The need for healthcare on a regular basis reminds me of my health problemsDigital Module1How much of a problem is the time and effort required to take care of and use your digital devices in your day-to-day life? (For example: logging on for a telehealth visit, remembering to change sensors or charge devices, syncing multiple devices/applications, or doing routine checks/calibrations on devices)2How much of a problem is the annoyance and discomfort of your digital devices? (For example: device alarms or notifications interrupting daily activities or difficulty in wearing device with formal attire or beachwear)3How much of a problem is the time and effort required to solve problems with your digital devices? (For example: troubleshooting a new or old device, or finding educational resources from the healthcare team or device manufacturer) 4How much of a problem is it to take the necessary precautions when using your digital devices? (For example: protecting your digital devices from drops, certain temperatures, or radiation (security checkpoint, MRIs, etc.) or carrying backups like a glucometer for continuous glucose monitors, or insulin pens for insulin pumps, etc.) 5How much of a problem is it to give control of your health to digital devices? (For example: feeling uneasy or worried about the automatic functions of your device)6The need for digital devices (including their visibility) on a regular basis reminds me of my health problems Figure 3Summary of item revisions for the Treatment Burden Questionnaire + Digital (TBQ+D) across cognitive testing rounds.

Summary of item revisions for the Treatment Burden Questionnaire + Digital (TBQ+D) across cognitive testing rounds.

Discussion

We adapted the TBQ to capture the workload of using digital medicine tools and its negative impact on quality of life. The resulting instrument, TBQ+D, is a brief, self-reported measure of the overall burden of treatment inclusive of accessing and using digital medicine tools. Our findings demonstrate that digital burden is a distinct and meaningful component of treatment workload. By incorporating patient input throughout development, this work not only introduces a new tool to quantify digital burden in future research but also offers a patient-informed model for adapting existing measures to reflect modern care contexts.

Existing research has highlighted the potential for digital medicine tools to add to patients’ workload, particularly when these tools are poorly integrated or difficult to use.17,28–31 Our previously published work confirmed that digital self-management technologies can introduce unique forms of digital treatment burden, including device malfunctions, alert fatigue, data synchronization issues, and emotional distress.26

Despite growing recognition of this burden, no existing patient-reported instruments systematically capture the digital-specific components of treatment burden for patients with diabetes or one or more chronic conditions. Measures like the TBQ and PETS offer valuable insights into treatment burden but do not explicitly capture digital burden. This study addresses that gap by adapting the TBQ to include the burden of using digital tools directly informed by patient experiences.

The development of the TBQ+D has two important implications for clinical practice. First, it offers a patient-informed instrument specifically designed to capture digital treatment burden among people with diabetes and, possibly, other chronic conditions—an increasingly important issue as chronic disease management becomes more reliant on digital tools. While additional validation is needed, the TBQ+D may help clinicians and researchers identify areas where digital tools contribute to care complexity, particularly for patients with high treatment demands.

Second, once validated, the TBQ+D can assist clinicians in recognizing that increased use of digital tools, even those meant to automate tasks, does not always lead to a reduction in burden. Patients with more complex treatment needs may face a higher digital workload, highlighting the importance of a patient-centered approach to their implementation in practice.

Limitations and Future Research

This study has two key limitations. First, it was conducted at a single academic medical center with a relatively homogenous patient population, which may limit the generalizability of the findings. The sample size, while appropriate for cognitive interviews, further limits the diversity of perspectives represented. Future work should actively recruit more racially and ethnically diverse participants to strengthen the tool’s relevance across populations.

Second, while the adaptation process included rigorous qualitative methods and patient input, this work focused on item development and cognitive testing. The third phase in the process of developing TBQ+D involves its field testing, to test hypotheses that test is validity, ie, its ability to truly capture the workload and negative effect on quality of life it may have induced by the work of accessing and using healthcare and enacting self-care tasks supported by digital tools. This process should continue with a range of other populations with chronic conditions and variable digital care use, thus advancing the evidence of the validity and responsiveness of the TBQ+D.

Conclusion

This study describes the development of the Treatment Burden Questionnaire Plus Digital (TBQ+D), an adaptation of the original TBQ designed to capture burden associated with digital medicine tools. Grounded in patient experiences and refined through cognitive testing, the TBQ+D represents a step toward measuring the burden of digital care in patients with living with diabetes.

By incorporating patient-centered design and directly addressing gaps in existing measures, the TBQ+D can support future research and clinical efforts to ensure digital tools reduce, rather than add to, the workload of living with diabetes. As the use of digital tools in care continues to grow, measuring burden of digital care will be essential to designing tools and workflows that promote patient centered care that is minimally disruptive. Future work should also include cross-cultural adaptation and translation of the TBQ+D to ensure its validity and utility in international settings.

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Come leggerlo: è uno studio scientifico peer-reviewed. Le evidenze aiutano a capire i trend, ma un singolo studio non è una prescrizione: parlane col tuo diabetologo prima di cambiare dieta o terapia.