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Exploring accessibility, user experience and engagement of digital media among older patients with depression: a pilot and observational screening study protocol of the DiGA4Aged study
  1. Chantal Giehl1,
  2. Magdalini Chatsatrian2,
  3. Horst Christian Vollmar2,
  4. Theresa Sophie Busse2,3,
  5. Jennifer Bosompem2,
  6. Peter Rasche4,
  7. Jan Dieris-Hirche5,
  8. Magdalena Pape5,6,
  9. Georg Juckel7,
  10. Ida Haussleiter7,
  11. Nina Timmesfeld8,
  12. Anna Mai8,
  13. Rainer Wirth1,
  14. Ina Carola Otte2
  1. 1 Department of Geriatric Medicine, Marien Hospital Herne, Ruhr University Bochum, Herne, Germany
  2. 2 Institute of General Practice and Family Medicine (AM RUB), Ruhr University Bochum, Bochum, Germany
  3. 3 Department for Human Medicine, Faculty of Health, Witten/Herdecke University, Witten, Nordrhein-Westfalen, Germany
  4. 4 Department of Healthcare, Niederrhein University of Applied Sciences, Krefeld, Germany
  5. 5 Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital Bochum, Bochum, Germany
  6. 6 Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
  7. 7 Department of Psychiatry and Psychotherapy, LWL University Hospital Bochum, Bochum, Germany
  8. 8 Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany
  1. Correspondence to Chantal Giehl; Chantal.Giehl{at}elisabethgruppe.de

Abstract

Introduction The prevalence of mental health problems is increasing worldwide, particularly in the vulnerable group of older people. The limited availability of therapists, long wait periods and increasing shortage of healthcare resources limit adequate care. As a result, digital applications are becoming more commonplace as an alternative to human therapists. However, these tend to be used by younger people with higher education, digital health literacy and experience. In Germany, applications that are approved by the health authorities, so-called digital health applications (DiGAs), can be prescribed by physicians and psychotherapists. It remains unclear to the extent older people are experienced with, are willing and can use a DiGA. Therefore, this research aims to identify specific challenges of older people’s accessibility, user experience and engagement with DiGA for depressive disorders. The DiGA4Aged project consists of: (1) a pilot study on usability, (2) a screening study on potential participants for a randomised controlled trial (RCT) evaluating the digital experience of the target population and (3) an RCT to test the effectiveness of a digital nurse as individualised user support in the intervention group. This paper focuses on the pilot study and the screening study.

Methods and analysis The instrumental components in preparing for the RCT are a mixed-method pilot and observational quantitative screening study, which are described in this manuscript. The pilot study includes questionnaires (covering sociodemographic data, user experience, health literacy, electronic health literacy, media affinity, severity of depression and perceived usability of DiGA), a concurrent think aloud method and a semistructured interview to evaluate two applications with regard to their usability for, acceptance by and needs of older people. The observational screening study collects data of older patients consecutively admitted to an acute care geriatric hospital ward using various questionnaires to identify which clinical and medical factors are associated with the access to, experience with and (non-)use of digital media. Data from the comprehensive geriatric assessment is collected as well as data on their digital media experience and digital health literacy.

Ethics and dissemination The overall project DiGA4Aged received ethical approval on 17 November 2023 from the ethics committee of the Medical Faculty of Ruhr-University Bochum (registration number 23-7901). Results will be disseminated within the scientific community via publication in peer-reviewed journals as well as presentation at national conferences. The findings from the pilot study and the observational screening study will determine the selection of the DiGA and the recruitment strategy for the subsequent RCT.

Trial registration numbers The pilot study has been prospectively registered in the German Clinical Trials Register (DRKS00033640, registered on 18 March 2024, available from https://drks.de/search/de/trial/DRKS00033640). Likewise, the observational screening study has been prospectively registered in the German Clinical Trials Register (DRKS00032931, registered on 29 November 2023, available from https://drks.de/search/de/trial/DRKS00032931).

  • depression & mood disorders
  • aged
  • health services accessibility
  • self-help devices
  • surveys and questionnaires
  • task performance and analysis
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STRENGTHS AND LIMITATIONS OF THIS STUDY

  • This study specifically examines the vulnerable patient group of older persons with depression, covering a wide age range from 60 years to the oldest old.

  • By the choice of digital health application (DiGA) for depressive disorders, the study covers the largest category of approved DiGA concerning mental health and addresses the data gap regarding the usability needs of older people with depressive disorders.

  • The identification of clinical and medical factors that are associated with access to, experience with and non-use of digital media of older patients with depressive disorders will allow focusing on the special needs of this patient group in the future.

  • The pilot data collection at different hospital departments will generate a larger and more heterogeneous cohort; however, results may be influenced by different study conductors.

  • The concurrent think aloud method used in the pilot study may be a challenge for the group of older persons with depressive disorders.

Introduction

According to WHO data, about 5% of the world’s adult population is affected by depressive disorders, resulting in currently approximately 280 million adults worldwide.1 Data for Germany reveal that about 8% of adults experience depressive symptoms with a higher prevalence in women (8.8%) compared with men (7.5%).2 Depressive disorders are one of the most common mental illnesses in older persons.3 In Germany, about 4%–5% of 65–79 years olds are affected by depressive symptoms.2

Population demographics are trending towards an ageing population. One in six people in the world will be aged 60 years or older by 2030 and is predicted to increase until 2050 when a record of 2.1 billion people will be aged 60 years and older.3 4 At present, 14% of them live with a mental disorder.3

The prevalence of mental health problems increases with the ageing process.5 Further, this is problematic as mental disorders in older people often are unrecognised and undertreated, and the stigma attached can cause people to hesitate seeking help.3 This creates a vulnerable population that has continuously increased in the last three decades, making depressive disorders a leading cause of disablement.6 However, the increasing shortage of healthcare resources leads to a lack of therapists and long waiting periods, plus the aforementioned difficulty in diagnosis represents a serious obstacle for older people to seek help and appropriate treatment.

In this context, digital applications are assigned an important role in healthcare due to the ubiquitous availability of smartphones. Recent research demonstrated that they may reduce depressive symptoms of patients7 and can be therefore used to support treatment or bridge waiting times.8 A study on the feasibility of using digital applications in the inpatient treatment of patients with depressive disorders revealed that these applications can contribute to an improvement in depressive symptoms in addition to psychotherapeutic treatment.9

Digital applications dealing with health matters are intended to facilitate the access to healthcare services. However, there is potential for new inequalities in gaining access to (digital) healthcare services for more vulnerable groups such as older people.10 Digital applications tend to be used more frequently by younger people with higher education and digital health literacy, compared with people of older age and lower digital experience and health literacy.10 Despite the ethical principle of justice, in this case particularly distributive justice, benefits of expanding digital healthcare services are restricted to certain populations due to their lack of adapted usability for older age groups. Notably, it is important to ensure and provide the access to healthcare services for those vulnerable groups, as they demonstrate greater morbidity and dependency on effective measures to maintain their health.11 Studies show that the design of digital applications is frequently incompatible for older population groups and people with low health literacy.10 12 For older patients, this applies mainly to age and age-associated health conditions as reduced cognitive skills and the effects of chronic diseases.13

One specific group of applications includes approved digital health applications (DiGAs, the German abbreviation for Digitale Gesundheitsanwendungen), which are intended to support the treatment of various diseases in different indication areas, within the German healthcare system.14–16 DiGAs are approved by the health authorities and can be prescribed by physicians and psychotherapists since the German Digital Healthcare Act (Digitale-Versorgung-Gesetzes) was passed in 2019.17 Health insurance companies cover the costs after the prescription, which is similar to the process for medication. They can be used for relieving symptoms and supporting the handling of a certain diagnosis.18 DiGAs are offered both as apps and web-based applications and are certified as low-risk medical devices.19

To be eligible for prescription and reimbursement, DiGA must first successfully pass an assessment procedure of the Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)) to be listed in the DiGA directory. As part of this procedure, the so-called positive care effect of DiGA is being evaluated, which means that the DiGAs have been proven to contribute either to improve the patient’s state of health or the management of the disease.18 All approved DiGAs can be viewed in the DiGA directory and are divided into permanently and temporarily (for 1 year) approved applications.20

Currently 55 DiGAs are listed in die DiGA directory (temporary or permanent) and 26 of these are categorised for use in the field of psyche, the largest of 12 categories. Four DiGAs (deprexis, edupression.com, Novego, Selfapy) are permanently listed for use in depressive disorders, another three DiGAs are temporarily approved (Elona Therapy Depression, MindDoc auf Rezept, My7steps App) as of 5 August 2024.20

A report on the implementation and development of DiGA between 2020 and 2022 reveals differences in usage between specific patient groups. For instance, during the period under review, deprexis was prescribed about 10 000 times, with the most frequent use in the 50–54 years age group. Comparatively, the use in the age group between 60 and 64 years is 50% lower and decreases steadily with increasing age. During the same period of time, Selfapy was prescribed about 9000 times in total and there were hardly any users over 60 years.21 These findings illustrate that although DiGA were included permanently into the DiGA directory, accessibility and participation considerations must also be taken into account for the treatment of depressive disorders, particularly for the older population. To ensure that older people with depressive disorders can also benefit from DiGA, accessibility and design of the applications should consider and meet the needs of this user group.

Therefore, the DiGA4Aged project uses a mixed-method approach with a subsequent triangulation of quantitative and qualitative data. Its core element is a randomised controlled trial (RCT) to evaluate how the DiGA access and usability is improved by the support of a digital nurse, who is specifically qualified to assist patients in using the DiGA. The aim of the DiGA4Aged project is to identify and operationalise inhibiting and promoting factors to the use of DiGA by older people with depressive disorders.

It focuses on outpatient and inpatient care and examines the feasibility of DiGA for older persons with mild-to-moderate depressive disorders. The project is structured in the following substudies:

  1. A preliminary pilot study focuses on the user experience and usability of the DiGA deprexis and Selfapy. Participants are asked to use the DiGA and think out loud while solving tasks oriented towards initial use. An interview and a supplementary quantitative survey will additionally support to identify the most user-friendly, thus suitable, DiGA for the target population. Patients for the pilot study will be recruited during the observational screening study in three hospital departments.

  2. An observational screening study will be used to consecutively incorporate the entire collective annual cohort of a geriatric hospital department. It is designed as a quantitative observational study, which aims for a more comprehensive approach and will collect further data to identify which clinical and medical factors are associated with the non-use of digital media and non-participation in the DiGA4Aged pilot study and RCT, such as age, living situation and cognitive function.

  3. During the RCT, the DiGA that was rated most suitable in the pilot study will be used. The multicentre 1:1 evaluator-blinded RCT will recruit inpatients and outpatients with mild-to-moderate depression hospitals in three hospital departments. All participants receive a prescription of the DiGA, information about the DiGA by the attending physician/psychotherapist and a short information film about the DiGA. The intervention group will additionally be offered the support by a digital nurse to accompany and supervise the process of request to the health insurance companies and the initial use of DiGA during the first 8 weeks by phone, videocall or direct contact once a week. Details of the RCT are described in DRKS registration number DRKS00033535 and the publication was submitted to BMC Trials on 23 July 2024.22 The RCT aims to improve DiGA use as primary outcome.

This study protocol describes the pilot and screening studies as two components of the DiGA4Aged project that are indispensable for the RCT and carry out decisive preliminary work for the design of the RCT. An outline of the procedure for the individual study steps is shown in figure 1.

Figure 1

DiGA4Aged project time plan. RCT, randomised controlled trial.

Methods and analysis

Design

The pilot study itself consists of both qualitative methods (a concurrent think aloud method and a semistructured interview) and quantitative methods (questionnaires). It compares the user experience of the two DiGAs, deprexis and Selfapy, that were the first—and by the time of planning the overall project, the only two permanent—approved DiGA by the BfArM for treating depressive disorders.

The screening study is planned as a cross-sectional trial and recruits geriatric patients with and without a diagnosis of depression. It includes a data collection path in a two-step approach. The first step includes the collection of data that is routinely collected during hospitalisation. If participants agree to participate in the second step, additional data on patients' media affinity is collected. Data of participants and reasons for non-participation in the further procedure will be analysed. In addition, the screening study is used to determine whether participants meet the eligible criteria for the pilot study and the subsequent RCT.

Recruitment in the pilot study

For the pilot study, recruitment took place from February to April 2024 in three departments of two hospitals: Psychiatry, Psychosomatics (both LWL University Hospital Bochum) and Geriatrics (Marien Hospital Herne), while the screening study took place exclusively in Geriatrics. Each hospital department contributes at least three participants for each of the two DiGAs, resulting in a sample size of at least 18 in total. With the calculated number of participants (nine for each DiGA), thematic saturation shall be achieved. Sample size will be adjusted, if thematic saturation is not reached. This is underlined by Virzi’s model that states that 80% of usability problems are recognised by four or five participants and that the most serious problems are already noticed by the first participant.23

Participants are recruited among all patients who are hospitalised during the recruitment period in the three hospital departments. The selection is criteria based. The pilot study aims at conducting a heterogeneous sample of inpatient participants in terms of their sociodemographic characteristics, health and digital literacy as well as media affinity. The first three patients included in the pilot study at each department start using the application Selfapy, while the next three patients included use the application deprexis.

In order to participate in the pilot study, the following inclusion criteria must be met: participant is 60 years or older, diagnosed with mild or moderate depressive disorder, owns a digital device (eg, smartphone or tablet) and gives written consent to take part in the study. A participant must be excluded if one of the following criteria occurs: participant shows acute psychotic symptoms, has acute suicidal tendencies or self-endangerment that results in a direct requirement for treatment, is severely intellectually impaired, has motor and sensory impairments that prevent using a digital device, has insufficient knowledge of German, has an advanced and incurable disease, is diagnosed with bipolar disorder or schizophrenia, participates currently in another study or is presently using a DiGA for treatment of depressive disorder. There is no distinction made in terms of gender. Decisive for the selection of the criteria were the need for participants to be stable enough for the study, fulfil the diagnosis the DiGAs were approved for and may receive inpatient follow-up care. In addition, it was organisationally easier to contact the participants if they were inpatients.

Recruitment in the screening study

The screening study is performed in the Department of Geriatric Medicine, including inpatient hospital care and outpatient day clinic for geriatric medicine, Marien Hospital Herne, representing the most vulnerable older patients. The study is designed to recruit potential participants for the pilot study or the subsequent RCT of the DiGA4Aged project in a cohort in whom it is anticipated that sufficient recruitment for the RCT may be difficult. Additionally, it collects further data and determines the extent to which geriatric hospital patients have experiences with and access to digital media. Therefore, all patients who are consecutively admitted in 2024 will be offered the opportunity to participate in the screening study. The Department of Geriatric Medicine treats around 2000 patients per year. Based on the experience of previous studies at this department and under the condition that participation in the study is optional while the inclusion criteria must be met, we expect a total number of 1800 participants.

The inclusion criterion is a minimum age of 60 years and older. Furthermore, patients must have an expected minimum stay of 14 days due to a formalised rehabilitation procedure during an acute care hospital stay, which comprises a minimum stay of 14 days.24 As a consequence, patients with a shorter length of stay will not be approached by the study team. In addition, the patient must be able to give informed consent. Patients who cannot participate due to the severity of their illness are excluded. No distinction is made in terms of gender.

All patients are listed in the hospital information system with their admission and planned discharge dates. The screening team operates independently and approaches the patients in person about the screening study within the last 3 days before their planned discharge. Patients are offered participation in the screening study in the described two-step approach. If they agree to participate in the more comprehensive branch, data will be collected by various questionnaires mentioned in the section Instruments. If patients do not wish to participate in the comprehensive screening study, they are asked for consent to use the routinely collected data. As the routinely collected data can be extracted from the hospital information system, the patient does not need to answer any further questions. In both cases, written informed consent is necessary for participation of the patient.

Procedure of the pilot study

The pilot study focuses on the usability of the DiGA Selfapy and deprexis. While Selfapy is approved in mild and moderate depressive disorder, deprexis covers the treatment of mild, moderate and severe depressive disorders. Selfapy can be used both as an app and a web application, whereas deprexis is solely offered as a web application. Both DiGAs are structured in several units to be worked on by users in individual sessions. The main function of those DiGAs is a communication-based interaction, in which users receive individualised information and recommendations based on their answers given within the units. Selfapy and deprexis both make use of behavioural therapy interventions and accordingly offer exercises for self-awareness and regulation. In addition, both DiGAs support the therapeutic work outside of the sessions by providing users with motivational e-mails (deprexis) and enabling digital contact to psychological counsellors if required (Selfapy). The recommended period of use in both cases is 90 days with a weekly usage time of 1–2 hours. Selfapy is available in German, while deprexis offers eight languages (Chinese, English, French, German, Greek, Italian, Portuguese, Swedish, Spanish).20

At the beginning of the pilot study, participants are informed about the procedure and agree to take part in the study by signing the consent form. Participants are free to choose whether the study is conducted with their own digital device (smartphone or tablet) or the provided study tablet. In both cases, the study conductors take care of accessing the web application and logging into the DiGA by using the registration data. In order to ensure comparability, the study conductors at each hospital department were equally trained with guidelines, developed for the pilot study. A sufficient number of test codes have been supplied by the DiGA developers in order to create test accounts prior to the meeting with the participant. This kind of access to the DiGA allows an identical use to the full version on prescription, except the feature by Selfapy of contacting a psychological counsellor via chat, which is not accessible via the test account.

The first part of the pilot study’s data collection involves four instruments. The participants complete a form for sociodemographic data and provide self-assessment of the following questionnaires: electronic health literacy by Revised German eHealth Literacy Scale (GR-eHEALS),25 health literacy by European Health Literacy Survey Questionnaire (HLS-EU-Q16)26 and media affinity including the frequency of use and knowledge of modern technology.27 A more detailed description of the data collection instruments can be found in the section Instruments.

After the completion of these four questionnaires, the second part of the pilot study using the concurrent think aloud method28 is initiated. The concurrent think aloud method is a common procedure in the field of digital healthcare for testing technologies with regard to usability, content and accuracy of fit.29 Users are asked to verbalise their thoughts while getting acquainted with the application for the first time.28 In addition, the participants receive a catalogue of tasks that are based on typical activities during initial use (eg, using the menu, moving through the various parts of the DiGA, open and view content). Different to verbalising thoughts and feelings after the usage, the hallmark of the concurrent think aloud method is verbalising all thoughts while performing the tasks.30 31 The use of the concurrent think aloud method allows for the capturing of users’ cognitive and emotional reactions and processes.32

This section of the procedure involves video recording with a camera placed behind the participant. It focuses on the tablet’s screen, captures the finger movements and commands performed by the participant. Simultaneously, the participant’s comments given during the task execution are recorded. The concurrent think aloud method begins with the start page of the DiGA after being logged in. The participants receive a sheet of tasks that slightly differ due to the character of each DiGA and are asked to perform those tasks while commenting on each step taken and verbalising emerging thoughts or problems during the completion. The study conductor accompanies the process mainly as an observer, giving a few reminders to verbalise thoughts if necessary. In addition, the study conductors are instructed to note any difficulties or peculiarities that arise during the course of action.

The third part obtains a semistructured interview to gather the patient’s individual impression of their initial use of the DiGA. The interview covers five clusters of topics with questions about their initial visual impression, accessibility of contents and an overall evaluation of the DiGA. In addition, the participants are asked about their impression of the research method, as the process of actively verbalising one’s thoughts is assumed to be unfamiliar for the participants. Semistructured interviews are conducted in order to record the participants’ individual experiences and impressions after their use of the DiGA. The basic framework for the interview structure is provided; however, additional or in-depth questions can be asked if more specific answers are needed. The guideline enables comparability between the interviews, while the flexibility of this interview form makes it possible to respond specifically to the participants’ individual impressions.33

With the completion of the interview, the video recording stops, and the final two questionnaires, Patient Health Questionnaire (PHQ-9)34 about severity of depression and System Usability Scale (SUS)35 about the perceived usability of the DiGA, are completed by the participant. Both questionnaires are described in the section Instruments.

The participants receive a small compensation for taking part in the pilot study. For the entire procedure of the pilot study, approximately 1.5 hours are set per participant. Directly afterwards, all gathered data is pseudonymised and secured by the study conductor.

The extraction and synthesis of the qualitative data will be carried out according to Rädiker and Kuckartz36 using the software MAXQDA, whereas quantitative data will be analysed by descriptive statistics.

The three parts of the data collection in the pilot study provide insight into the subjective and objective evaluation of the use of the DiGA. The evaluation will be based on the People at the Centre of Mobile Application Development usability model.37 The mixed-method approach enables to evaluate the user experience and usability of both DiGAs. User experience considers the user’s reactions and perceptions that arise before, during and after the usage.38 An important component of the user experience is usability, which is defined as the extent to which a system, product or service can be used by specific users in an explicit context of use to achieve defined goals effectively, efficiently and satisfactorily.39 By triangulating the data, it is possible to examine usability and user experience, which is crucial for assessing the extent to which the respective DiGA can be used by the target group. This is decisive for the RCT.

Procedure of the screening study

All consecutive geriatric patients aged 60 years and older undergo a comprehensive geriatric assessment within the first two working days after admission as part of the clinical routine. Some data of this initial assessment is used for the screening study later on, if participants provide consent. As patients are often severely impaired by their acute illness at the start of hospital stay, the additional study-related tasks are carried out within the last three working days before discharge.

If patients are willing to participate and give informed consent, the following data is extracted from the clinical routine data and the geriatric assessment: sociodemographic information, Barthel Index (BI)40 on admission and discharge, Clinical Frailty Scale (CFS),41 42 Confusion Assessment Method (CAM),43 Timed Up and Go (TUG) Test44 on admission and discharge, Montreal Cognitive Assessment (MoCA)45 on admission, the Depression in Old Age Scale (DIA-S)46 and main diagnosis and other study-relevant diagnoses.

Further study related data is collected at the patient’s bedside. The additional questioning includes the living situation at the time of admission, to what extent relatives are involved in care, retesting the MoCA and DIA-S on discharge, media affinity regarding frequency of use of modern technology and knowledge of modern technology,27 the GR-eHEALS,25 the willingness to use a DiGA and the PHQ-9,34 if the patients is eligible and willing to participate in the RCT. The PHQ-9 is only conducted if both questions on the behalf of the willingness to use DiGA in general and to support the treatment of depressive symptoms are answered positively, the DIA-S is above two points on discharge and there is no diagnosis of depressive disorder. The data collection of the screening study is collected in the web-based electronic data caption tool REDCap.47

The screening study enables both the recruitment of patients for the pilot study and subsequent RCT, as well as for the identification of clinical predictors for the non-use of digital media and a lack of willingness to use a DiGA. Descriptive statistics are planned to characterise the frequency and mode of media use. In addition, multiple linear and logistic regression will be used to determine predictors of media literacy and non-use of digital media in older patients. The results will allow to predict the use and non-use of digital media by geriatric hospital patients.

Possible predictors could be the availability of a private digital device and the presence of technical support by close relatives. Cognitive function assessed with MoCA and self-caring capacity assessed with BI are likewise highly interesting when analysing media use and participation in the RCT.

Instruments

Alongside the qualitative data, consisting of the concurrent think aloud method and the semistructured interview, a range of quantitative data is collected by various questionnaires. Figure 2 provides an overview of all instruments within the pilot and screening study.

Figure 2

Instruments of pilot and screening study.

Five questionnaires are used in both the pilot and the screening studies:

Sociodemographic data includes gender, age, care level, years of formal education, highest level of education and current occupation. Furthermore, pilot study collects the diagnosis of depressive disorder according to 10th revision of the International Classification of Diseases (ICD-10) as well as year of disease onset, number of previous treatments and whether antidepressive treatment is ongoing.

Media affinity is evaluated by two questionnaires regarding the frequency of use and knowledge of modern technology. They were used from a study on ageing experience and technology with kind permission of Schlomann et al at the University of Heidelberg.27 In the questionnaire on the frequency of use of modern technology, participants will be directed to focus on their active use of technical devices in the last 12 months. The technical devices include a stationary computer, laptop or notebook, smartphone, tablet, normal mobile phone without internet and use of internet in general. Answers are given for the self-reliant use of each device and include six levels from ‘never’ to ‘daily/almost daily’. The questionnaire on knowledge of modern technology measures to what extent the participants are familiar with the respective technical devices and applications. For each technical device (see above), patients should rate themselves with school grades, according to the German grading system, ranging from very good (grade one) to unsatisfactory (grade six).

The eHEALS was developed to measure the digital health literacy of consumers. It measures consumers’ existing knowledge, self-confidence and self-perceived competence in finding, evaluating and applying electronic health information to solve health problems. The eHEALS is based on consumers’ self-assessment and comprises eight statements that must be rated on a five-point Likert scale.48 The GR-eHEALS with 16 items is a validated instrument for measuring health literacy in German and addresses methodological weaknesses of the primary German version of eHEALS with regard to test development and validation.25

The PHQ-9 is a self-report version of the Primary Care Evaluation of Mental Disorders (PRIME-MD) diagnostic tool for common mental disorders.49 Each of the nine Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria for diagnosing depressive disorders is rated on a 4-level scale between ‘not at all’ and ‘almost every day’ in the PHQ-9. The sum score is graded as minimal, mild, moderately severe and severe depression.34

Two questionnaires are exclusively used within the pilot study:

Health literacy is associated as a relevant factor with maintaining one’s own health and coping with illness. It is measured using the short form of the established HLS-EU-Q in German. The short form uses 16 items to assess the four dimensions of health literacy (accessing, understanding, assessing and using health information) in the areas of disease prevention, health promotion and healthcare. The participants rate on a 4-level scale from ‘very easy’ to ‘very difficult’ how they perceive certain tasks or activities in connection with disease prevention, health promotion and healthcare. The 16 items are a balanced representation of the 47 items in the original version.26

The SUS is an established questionnaire for measuring the perceived usability of an application. It consists of 10 items that are rated on a scale from ‘completely disagree’ to ‘completely agree’. The German version of the SUS, provided by Digital Equipment Corporation, 1986,35 will be used in the pilot study.

The screening study uses the following data:

The BI assesses the observed ability to care for oneself over the last 2 days. The items include the abilities of eating, getting up and moving, cleaning oneself, using the toilet, bathing or showering, getting up and walking, climbing stairs, dressing and undressing, bowel and urinary incontinence. The rating is calculated by adding the ratings of the individual items. The score ranges from 0 to 100, with high scores indicating less impairment.40 43 In addition to recording the status of independence, the BI can also be used to monitor activities of daily life and therefore record changes during the rehabilitation process.40 50

The CFS was developed to quickly and reliably classify older people in terms of the severity of frailty. CFS is based on a global clinical judgement. This involves assigning people to one of nine classifications from very fit to terminally ill.41 42

A further survey instrument used is the CAM. It is suitable for screening and diagnosing delirium as it correlates with the DSM-V and ICD-10 criteria for delirium. The scale used is based on the four components of acute onset of symptoms, attention deficit, formal thought disorder and clouding of consciousness.43

The TUG Test provides an integrative assessment of mobility, balance, co-ordination, joint function and strength of the lower limb.44 As part of the TUG Test, the patient is asked to rise from a seated position without assistance from a chair with armrests, walk 3 m and back and sit down again. Assistive devices such as a rollator are permitted in this test. The test is evaluated using the time taken by the patient to complete the test.43

The MoCA is a tool to detect any degree of cognitive impairment.45 51 It includes various components that focus on short-term memory, language ability, attention, visuoconstructive abilities, orientation and executive functions.45 The various components are awarded points, with the best and maximum total score being 30.43

The DIA-S is a screening instrument for self-assessment and consists of 10 items that are answered dichotomised with yes or no. The items refer to the state of mind during the last 14 days. The DIA-S is comparable to other screening instruments for depressive disorders but is better suited for the use in the geriatric setting due to its practicality.43 46

Lastly all participants are asked about their willingness to use a DiGA in general and regardless of illness. A further question relates to the willingness of using a DiGA to support the treatment of depressive symptoms.

Patient and public involvement

Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

Ethics and dissemination

This study protocol is part of the DiGA4Aged project which has received an ethical approval from the ethics committee of the Medical Faculty of Ruhr-University Bochum (registration number 23-7901).

The findings from the pilot study are decisive for the selection of one of the DiGA based on the evaluation of the usability and user experience. The chosen DiGA will be used in the RCT to evaluate the improvement of the use and usability of the DiGA by older people by the support of a so-called digital nurse. As part of a qualitative and quantitative accompanying research, factors that inhibit and promote utilisation will be examined in greater depth in order to provide information on requirements and needs of older people for subsequent implementation of the investigated DiGA and digital approaches in general. By triangulating the results, key elements for a further training programme for digital nurses will be developed.

Ethics statements

Patient consent for publication

Acknowledgments

We appreciate the free provided test accounts of Selfapy and deprexis by the manufactures for the duration of the pilot study. We would like to thank all members of the DiGA4Aged research group, especially Tanja Roth, Hannes Bergmann and Bianca Überberg at the Departments of Psychiatry and Psychosomatics (LWL University Hospital Bochum) for conducting the pilot study. We further would like to acknowledge Samuel James Laldin for his critical review of the manuscript in terms of language editing.

References

Footnotes

  • X @@hcvollmar

  • CG and MC contributed equally.

  • Contributors Study concept, design and funding: TSB, JD-H, GJ, ICO, PR, NT, HCV and RW. Development of data collection instruments for screening study: CG and RW. Development of data collection instruments for pilot study: JB, TSB, MC, ICO, PR and HCV. Drafting of the manuscript and preparation of figures: MC and CG. Critical revision of the manuscript for important intellectual content and read and approved the final manuscript : all authors. The guarantors for the contribution are MC and CG.

  • Funding This work was funded by the InnovationsFoRUM, a funding programme of the Medical Faculty at the Ruhr University Bochum (funding number: IF-025-22).

  • Competing interests None declared.

  • Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

  • Provenance and peer review Not commissioned; externally peer reviewed.