Information and decision support needs in patients with type 2 diabetes

Customization options in consumer health information materials on type-2 diabetes mellitus-an analysis of modifiable features in different types of media

Introduction

The understanding of health-related information is essential for making informed decisions. However, providing health information in an understandable format for everyone is challenging due to differences in consumers' health status, disease knowledge, skills, and preferences. Tailoring health information to individual needs can improve comprehension and increase health literacy.

Objective

The aim of our research was to analyze the extent to which consumers can customize consumer health information materials (CHIMs) for type-2 diabetes mellitus through various media types.

Methods

We conducted a comprehensive search for various CHIMs across various media types, such as websites, apps, videos, and printed or printable forms. A representative sample of CHIMs was obtained for analysis through blocked randomization across the various media types. We conducted a quantitative content analysis to determine the frequency of user-centered customization options. Cross-comparisons were made to identify trends and variations in modifiable features among the media.

Results

In our representative sample of 114 CHIMs, we identified a total of 24 modifiable features, which we grouped into five main categories: (i) language, (ii) text, (iii) audiovisual, (iv) presentation, and (v) medical content. Videos offered the most customization opportunities (95%), while 47% of websites and 26% of apps did not allow users to tailor health information. None of the printed or printable materials provided the option to customize the information. Overall, 65% of analyzed CHIMs did not allow users to tailor health information according to their needs.

Conclusion

Our results show that CHIMs for type-2 diabetes mellitus could be significantly improved by providing more customization options for users. Further research is needed to investigate the effectiveness and usability of these options to enhance the development and appropriate provision of modifiable features in health information.

Design, development, and usability evaluation of a smartphone-based application for nutrition management in patients with type II diabetes

Purpose

Information technology (IT)-based interventions, especially mobile health (mHealth), possess a great potential for promoting self-management in patients with chronic diseases, including diabetes type II. The present study was aimed to design and develop a smartphone-based application (app) for nutrition management in patients with type II diabetes and evaluation of its usability.

Methods

In this study, a three-phase research approach was followed; (1) To determine the information content and functionalities of the app, a five-point Likert scale checklist including six parts was developed based on reviews of clinical practice guidelines and specialized databases. The checklist was then given to ten experts in endocrinology and metabolism, internal medicine, and nutrition, and those items with a mean score higher than 3.75 were approved. (2) In Android Studio, the app was designed and developed using Java language. (3) The Questionnaire for User Interaction Satisfaction (QUIS) was used to assess the app's usability by 21 patients with type II diabetes, ten IT experts, and seven endocrinologists, internal medicine practitioners, and nutritionists over one month. Mean scores were divided into three levels: weak (0-3), average (3-6), and good (6-9).

Results

According to experts' view, 17 out of 22 educational content and 17 out of 27 functionalities were approved. The app's most important educational content was the timing of meals for insulin patients and the definition of diabetes and its complications. The designed app had the following functionalities: providing educational information, recording information, performing calculations, representing data graphically, setting reminders, and communicating with physicians. The most important features of the app were the insulin dose calculation, reminders for doctors' appointments, setting times for tests and blood glucose measurements, and also tracking weight, blood glucose levels, and blood pressure. In terms of usability evaluation, the app was rated "good" level by diabetic patients (7.83 ± 0.74), IT experts (8.1 ± 0.66), and physicians (8.03 ± 0.95).

Conclusion

Given the desirable evaluation of the app by patients, physicians, and IT experts, it can be concluded that the developed app has the required functionalities for nutrition management of patients with type II diabetes. Smartphone-based apps appear to be able to improve self-management, the quality of care and health in patients with diabetes, and reduce many of their unnecessary visits to healthcare centers, and costs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-022-01140-x.

Structured diabetes self-management education and its association with perceived diabetes knowledge, information, and disease distress: Results of a nationwide population-based study

OBJECTIVE

To evaluate, how participation in structured diabetes self-management education (DSME) programs is associated with perceived level of knowledge about diabetes, information needs, information sources and disease distress.

METHODS

We included 796 ever- and 277 never-DSME participants of the population-based survey "Disease knowledge and information needs - Diabetes mellitus (2017)" from Germany. Data on perceived level of diabetes knowledge (12 items), information needs (11 items), information sources (13 items) and disease distress (2 indices) were collected. Multiple logistic regression analyses were used to examine the association of DSME-participation with these outcomes.

RESULTS

DSME-participants showed a higher level of diabetes knowledge compared to never-DSME participants, particularly in aspects concerning diabetes in general (odds ratio 2.53; 95% confidence intervals 1.48-4.33), treatment (2.41; 1.36-4.26), acute complications (1.91; 1.07-3.41) and diabetes in everyday life (1.83; 1.04-3.22). DSME-participants showed higher information needs regarding late complications (1.51; 1.04-2.18) and acute complications (1.71; 1.71-2.48) than DSME never participants. DSME-participants more frequently consulted diabetologists (5.54; 3.56-8.60) and diabetes care specialists (5.62; 3.61-8.75) as information sources. DSME participation was not associated with disease distress.

CONCLUSION

DSME is a valuable tool for improving individual knowledge about diabetes. However, DSME should focus more on psychosocial aspects to reduce the disease burden.

TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos

Background

Diabetes has become one of the most prevalent chronic diseases, and many people living with diabetes use social media to seek health information. Recently, an emerging social media app, TikTok, has received much interest owing to its popularity among general health consumers. We notice that there are many videos about diabetes on TikTok. However, it remains unclear whether the information in these videos is of satisfactory quality.

Objective

This study aimed to assess the quality of the information in diabetes-related videos on TikTok.

Methods

We collected a sample of 199 diabetes-related videos in Chinese. The basic information presented in the videos was coded and analyzed. First, we identified the source of each video. Next, 2 independent raters assessed each video in terms of the completeness of six types of content (the definition of the disease, symptoms, risk factors, evaluation, management, and outcomes). Then, the 2 raters independently assessed the quality of information in the videos, using the DISCERN instrument.

Results

In regard to the sources of the videos, we found 6 distinct types of uploaders; these included 3 kinds of individual users (ie, health professionals, general users, and science communicators) and 3 types of organizational users (ie, news agencies, nonprofit organizations, and for-profit organizations). Regarding content, our results show that the videos were primarily about diabetes management and contained limited information on the definition of the disease, symptoms, risk factors, evaluation, and outcomes. The overall quality of the videos was acceptable, on average, although the quality of the information varied, depending on the sources. The videos created by nonprofit organizations had the highest information quality, while the videos contributed by for-profit organizations had the lowest information quality.

Conclusions

Although the overall quality of the information in the diabetes videos on TikTok is acceptable, TikTok might not fully meet the health information needs of patients with diabetes, and they should exercise caution when using TikTok as a source of diabetes-related information.

The information needs of internet users and their requirements for online health information-A scoping review of qualitative and quantitative studies

OBJECTIVE

This scoping review has been conducted to summarise the information needs of internet users and their requirements for online health information.

METHODS

We searched MEDLINE, Web of Science and Scopus up to July 2019. Qualitative, quantitative and mixed-method studies were included and a thematic synthesis with category formation and exact description of the items was carried out.

RESULTS

118 studies were included. To address all users' needs mentioned in the included studies, we grouped them into nine main categories: authority, comprehension, currency, evidence-based information, exchange with others, independence, purpose, services, user experience. The evaluation showed that website users wanted qualifications of authors to be cited. Users preferred health information that offered interactive elements and resources for relatives, whilst also providing an opportunity for online contact with others. The ease with which information was accessed and the intelligibility of texts were regarded as being very important to users.

CONCLUSION

Given the rapid evolvement and changes of online health information, it is crucial to provide up to date insights and a comprehensive overview of the range of criteria.

PRACTICE IMPLICATIONS

With the results obtained through this scoping review, the creators of online health information could be assisted in providing user-specific resources.

Thirst for Information and Needs Reflections of Type 2 Diabetes Patients Receiving Insulin Treatment in North-East Ethiopia: A Qualitative Exploration

Objectives:

Ongoing, proactive, planned, and patient-centered diabetes education is the cornerstone of care for all persons with diabetes. Thus, the aim of this study was to explore the information needs of type 2 diabetes mellitus patients receiving insulin treatment in North-East Ethiopia.

Methods:

The study was conducted from July 2019 to January 2020 using a qualitative enquiry (phenomenological approach) with purposive sampling. Face-to-face in-depth interviews were used to collect data until reaching theoretical saturation. The participants were type 2 diabetes patients receiving insulin treatment. They were identified from the diabetes patients’ registration book at the diabetes clinic and interviewed at their appointment time, and were selected to include wide variations in terms of socio-demographic characteristics. Twenty-four participants (11 men and 13 women), with a median age of 57 years, were interviewed. The data were organized using QDA Miner Lite version 2.0.7 and analyzed thematically using narrative strategies.

Results:

Most participants had not heard of diabetes before their diagnosis. They had limited knowledge of diabetes, but ascribed different connotations for it in the local language (Amharic). The needs reflections of patients were categorized into diabetes education and participants’ recommendations. Diabetes education was totally absent at hospitals, and patients received education primarily from the Ethiopian Diabetes Association and broadcast and digital media. Thus, the major concern of patients was the availability of diabetes education programs at health institutions.

Conclusions:

Patients’ main concern was the absence of routine diabetes education, which necessitates urgent action to implement diabetes education programs, especially at health institutions.

Identifying health information needs of senior online communities users: a text mining approach

Purpose

The purpose of this study is to identify the health information needs of senior online communities (SOCs) users, which could provide a basis for improving senior health information services.

Design/methodology/approach

A total of 14,933 health-related posts in the two most popular senior online communities (Yinling and Keai) in China are crawled as a corpus. Based on the results of word frequency analysis, text classification is performed based on two aspects: medical systems (Western medicine and traditional Chinese medicine) and topics. The health information needs of SOCs users are revealed from the composition, growth trends and popularity of health information. Finally, some key points of senior health information services are discussed.

Findings

The health information needs of senior users can be divided into four types: coping with aging, dietary nutrition, physical exercise and mental health. These needs are comprehensive and involve a variety of health issues. Users are mainly concerned with physical health issues. In terms of medical systems, the number of Western medicine posts is relatively larger, whereas traditional Chinese medicine appears more in posts on coping with aging and physical exercise. The health information needs of SOCs users are in a stable status. Both the medical systems and topics could have an impact on the popularity of health information, but the number of posts is inconsistent with the level of popularity.

Originality/value

This study combines multiple perspectives to identify the health information needs of seniors in China with a comprehensive overview.

Information needs and oral epithelial dysplasia: Development and psychometric evaluation of a novel instrument

OBJECTIVES

Oral epithelial dysplasia (OED) can lead to significant information needs (IN) related to the risk of cancer development, the need for long-term monitoring and potential intervention. The present study aimed to develop and perform preliminary psychometric testing for a novel IN instrument specific to OED.

SUBJECTS AND METHODS

Patients diagnosed with OED were invited to complete the Oral Epithelial Dysplasia Informational Needs Questionnaire (ODIN-Q), which was developed based on a known theoretical framework and with items generated via expert input and the literature. Face validity and content validity were initially assessed prior to finalisation of the tool. ODIN-Q was tested for internal consistency and test-retest reliability along with construct validity.

RESULTS

ODIN-Q consists of 35 items, categorised under six domains, and rated by dual 4-point Likert scales (amount of information received and degree of importance). Internal consistency (Cronbach's alpha) was rated "excellent" for the scale (0.93) and both subscales (0.92/0.94). For test-retest reliability, moderate agreement was found (κ = 0.49-0.53). Regarding construct validity, a significant but limited relationship was found between ODIN-Q and the Krantz Health Opinion Survey.

CONCLUSION

ODIN-Q showed adequate psychometric properties of reliability and validity. Further validation is, however, needed to assess its structural validity and responsiveness.

Small Data and Its Visualization for Diabetes Self-Management: Qualitative Study

Background

As digital healthcare expands to include the use of mobile devices, there are opportunities to integrate these technologies into the self-management of chronic disease. Purpose built apps for diabetes self-management are plentiful and vary in functionality; they offer capability for individuals to record, manage, display, and interpret their own data. The optimal incorporation of mobile tablets into diabetes self-care is little explored in research, and guidelines for use are scant.

Objective

The purpose of this study was to examine an individual’s use of mobile devices and apps in the self-management of type 2 diabetes to establish the potential and value of this ubiquitous technology for chronic healthcare.

Methods

In a 9-month intervention, 28 patients at a large multidisciplinary healthcare center were gifted internet connected Apple iPads with preinstalled apps and given digital support to use them. They were invited to take up predefined activities, which included recording their own biometrics, monitoring their diet, and traditional online information seeking. Four online surveys captured the participants’ perceptions and health outcomes throughout the study. This article reports on the qualitative analysis of the open-ended responses in all four surveys.

Results

Using apps, participants self-curated small data sets that included their blood glucose level, blood pressure, weight, and dietary intake. The dynamic visualizations of the data in the form of charts and diagrams were created using apps and participants were able to interpret the impact of their choices and behaviors from the diagrammatic form of their small personal data sets. Findings are presented in four themes: (1) recording personal data; (2) modelling and visualizing the data; (3) interpreting the data; and (4) empowering and improving health.

Conclusions

The modelling capability of apps using small personal data sets, collected and curated by individuals, and the resultant graphical information that can be displayed on tablet screens proves a valuable asset for diabetes self-care. Informed by their own data, individuals are well-positioned to make changes in their daily lives that will improve their health.

Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis

Background

Health information exchange (HIE) among care providers who cooperate in the treatment of patients with diabetes mellitus (DM) has been rated as an important aspect of successful care. Patient-sharing relations among care providers permit inferences about corresponding information-sharing relations.

Objectives

This study aimed to obtain information for an effective HIE platform design to be used in DM care by analyzing patient-sharing relations among various types of care providers (ToCPs), such as hospitals, pharmacies, and different outpatient specialists, within a nationwide claims dataset of Austrian DM patients. We focus on 2 parameters derived from patient-sharing networks: (1) the principal HIE partners of the different ToCPs involved in the treatment of DM and (2) the required participation rate of ToCPs in HIE platforms for the purpose of effective communication.

Methods

The claims data of 7.9 million Austrian patients from 2006 to 2007 served as our data source. DM patients were identified by their medication. We established metrics for the quantification of our 2 parameters of interest. The principal HIE partners were derived from the portions of a care provider’s patient-sharing relations with different ToCPs. For the required participation rate of ToCPs in an HIE platform, we determine the concentration of patient-sharing relations among ToCPs. Our corresponding metrics are derived in analogy from existing work for the quantification of the continuity of care.

Results

We identified 324,703 DM patients treated by 12,226 care providers; the latter were members of 16 ToCPs. On the basis of their score for 2 of our parameters, we categorized the ToCPs into low, medium, and high. For the most important HIE partner parameter, pharmacies, general practitioners (GPs), and laboratories were the representatives of the top group, that is, our care providers shared the highest numbers of DM patients with these ToCPs. For the required participation rate of type of care provide (ToCP) in HIE platform parameter, the concentration of DM patient-sharing relations with a ToCP tended to be inversely related to the ToCPs member count.

Conclusions

We conclude that GPs, pharmacies, and laboratories should be core members of any HIE platform that supports DM care, as they are the most important DM patient-sharing partners. We further conclude that, for implementing HIE with ToCPs who have many members (in Austria, particularly GPs and pharmacies), an HIE solution with high participation rates from these ToCPs (ideally a nationwide HIE platform with obligatory participation of the concerned ToCPs) seems essential. This will raise the probability of HIE being achieved with any care provider of these ToCPs. As chronic diseases are rising because of aging societies, we believe that our quantification of HIE requirements in the treatment of DM can provide valuable insights for many industrial countries.

Exploring patient information needs in type 2 diabetes: A cross sectional study of questions

This study set out to analyze questions about type 2 diabetes mellitus (T2DM) from patients and the public. The aim was to better understand people's information needs by starting with what they do not know, discovered through their own questions, rather than starting with what we know about T2DM and subsequently finding ways to communicate that information to people affected by or at risk of the disease. One hundred and sixty-four questions were collected from 120 patients attending outpatient diabetes clinics and 300 questions from 100 members of the public through the Amazon Mechanical Turk crowdsourcing platform. Twenty-three general and diabetes-specific topics and five phases of disease progression were identified; these were used to manually categorize the questions. Analyses were performed to determine which topics, if any, were significant predictors of a question's being asked by a patient or the public, and similarly for questions from a woman or a man. Further analysis identified the individual topics that were assigned significantly more often to the crowdsourced or clinic questions. These were Causes (CI: [-0.07, -0.03], p < .001), Risk Factors ([-0.08, -0.03], p < .001), Prevention ([-0.06, -0.02], p < .001), Diagnosis ([-0.05, -0.02], p < .001), and Distribution of a Disease in a Population ([-0.05,-0.01], p = .0016) for the crowdsourced questions and Treatment ([0.03, 0.01], p = .0019), Disease Complications ([0.02, 0.07], p < .001), and Psychosocial ([0.05, 0.1], p < .001) for the clinic questions. No highly significant gender-specific topics emerged in our study, but questions about Weight were more likely to come from women and Psychosocial questions from men. There were significantly more crowdsourced questions about the time Prior to any Diagnosis ([(-0.11, -0.04], p = .0013) and significantly more clinic questions about Health Maintenance and Prevention after diagnosis ([0.07. 0.17], p < .001). A descriptive analysis pointed to the value provided by the specificity of questions, their potential to disclose emotions behind questions, and the as-yet unrecognized information needs they can reveal. Large-scale collection of questions from patients across the spectrum of T2DM progression and from the public-a significant percentage of whom are likely to be as yet undiagnosed-is expected to yield further valuable insights.

Diabetes-related information-seeking behaviour: a systematic review

BACKGROUND

Information-seeking behaviour is necessary to improve knowledge on diabetes therapy and complications. Combined with other self-management skills and autonomous handling of the disease, it is essential for achieving treatment targets. However, a systematic review addressing this topic is lacking. The aims of this systematic review were to identify and analyse existing knowledge of information-seeking behaviour: (1) types information-seeking behaviour, (2) information sources, (3) the content of searched information, and (4) associated variables that may affect information-seeking behaviour.

METHODS

The systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) requirements. MEDLINE, CINAHL, EMBASE, ScienceDirect, PsycInfo, Cochrane Library, Web of Science, CCMed, ERIC, Journals@OVID, Deutsches Ärzteblatt and Karlsruher virtueller Katalog (KvK) databases were searched. Publications dealing with information-seeking behaviour of people with diabetes mellitus published up to June 2015 were included. A forward citation tracking was performed in September 2016 and June 2017. Additionally, an update of the two main databases (MEDLINE, CINAHL) was conducted, considering studies published up to July 2017. Studies published in languages other than English or German were excluded, as well as letters, short reports, editorials, comments and discussion papers. A study selection and the critical appraisal of the selected studies were performed independently by two reviewers. A third reviewer was consulted if any disagreement was found. Data extraction and content analysis were performed using selected dimensions of Wilson's 'model of information behaviour'.

RESULTS

Twenty-six studies were included. Five 'types of information-seeking behaviour' were identified, e.g. passive and active search. The 'Internet' and 'healthcare professionals' were the most frequently reported sources. 'Diet', 'complications', 'exercise' and 'medications and pharmacological interactions' were the most frequently identified content of information. Seven main categories including associated variables were identified, e.g. 'socioeconomic', 'duration of DM', and 'lifestyle'.

CONCLUSION

The systematic review provides a valuable overview of available knowledge on the information-seeking behaviour of people with diabetes mellitus, although there are only a few studies. There was a high heterogeneity regarding the research question, design, methods and participants. Although the Internet is often used to seek information, health professionals still play an important role in supporting their patients' information-seeking behaviour. Specific needs of people with diabetes must be taken into consideration.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42016037312.

The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

Background

Sociodemographic and health-related factors are often investigated for their association with the active use of electronic health (eHealth). The importance of such factors has been found to vary, depending on the purpose or means of eHealth and the target user groups. Pakistanis are one of the biggest immigrant groups in the Oslo area, Norway. Due to an especially high risk of developing type 2 diabetes (T2D) among this population, knowledge about their use of eHealth for T2D self-management and prevention (self-care) will be valuable for both understanding this vulnerable group and for developing effective eHealth services.

Objective

The aim of this study was to examine how commonly were the nine types of eHealth for T2D self-care being used among our target group, the first-generation Pakistani immigrants living in the Oslo area. The nine types of eHealth use are divided into three broad categories based on their purpose: information seeking, communication, and active self-care. We also aimed to investigate how sociodemographic factors, as well as self-assessment of health status and digital skills are associated with the use of eHealth in this group.

Methods

A survey was carried out in the form of individual structured interviews from September 2015 to January 2016 (N=176). For this study, dichotomous data about whether or not an informant had used each of the nine types of eHealth in the last 12 months and the total number of positive answers were used as dependent variables in a regression analysis. The independent variables were age, gender, total years of education, digital skills (represented by frequency of asking for help when using information and communication technology [ICT]), and self-assessment of health status. Principal component analyses were applied to make categories of independent variables to avoid multicollinearity.

Results

Principal component analysis yielded three components: knowledge, comprising total years of education and digital skills; health, comprising age and self-assessment of health status; and gender, as being a female. With the exception of closed conversation with a few specific acquaintances about self-care of T2D (negatively associated, P=.02) and the use of ICT for relevant information-seeking by using search engines (not associated, P=.18), the knowledge component was positively associated with all the other dependent variables. The health component was negatively associated with the use of ICT for closed conversation with a few specific acquaintances about self-care of T2D (P=.01) but not associated with the other dependent variables. Gender component showed no association with any of the dependent variables.

Conclusions

In our sample, knowledge, as a composite measure of education and digital skills, was found to be the main factor associated with eHealth use regarding T2D self-care. Enhancing digital skills would encourage and support more active use of eHealth for T2D self-care.

Soliciting and Responding to Patients' Questions about Diabetes Through Online Sources

When patients cannot get answers from health professionals or retain the information given, increasingly they search online for answers, with limited success. Researchers from the United States, Ireland, and the United Kingdom explored this problem for patients with type 2 diabetes mellitus (T2DM). In 2014, patients attending an outpatient clinic (UK) were asked to submit questions about diabetes. Ten questions judged representative of different types of patient concerns were selected by the researchers and submitted to search engines within trusted and vetted websites in the United States, Ireland, and the United Kingdom. Two researchers independently assessed if answers could be found in the three top-ranked documents returned at each website. The 2014 search was repeated in June, 2016, examining the two top-ranked documents returned. One hundred and sixty-four questions were collected from 120 patients during 12 outpatient clinics. Most patients had T2DM (95%). Most questions were about diabetes (N = 155) with the remainder related to clinic operation (N = 9). Of the questions on diabetes, 152 were about T2DM. The 2014 assessment found no adequate answers to the questions in 90 documents (10 questions, 3 websites, 3 top documents). In the 2016 assessment, 1 document out of 60 (10 questions, 3 websites, 2 top documents) provided an adequate answer relating to 1 of the 10 questions. Available online sources of information do not provide answers to questions from patients with diabetes. Our results highlight the urgent need to develop novel ways of providing answers to patient questions about T2DM.

The Role of Digital Engagement in the Self-Management of Type 2 Diabetes

Mobile tablet devices and applications have the potential to help type 2 diabetes patients in the self-management of their disease. However, users must be equipped with an appropriate level of digital literacy in order to use the tools and technologies effectively. This study reports from an exploratory mobile health (mHealth) pilot program that was conducted at a large, local clinic in Canberra, Australia. The research team provided digital training and support opportunities to participants as part of the longitudinal study. The aim of the research project was to examine the diverse range of participant digital literacy and how it impacted on self-management and the adoption of mHealth. Mid-study results from online surveys conducted at 2 and 5 months after enrolling 28 participants in the pilot program revealed that digital engagement is crucial to the patients' participation in mHealth activities. Support, by way of digital training, was essential to the patients' sustainable use of the devices and applications for health care.

Effectiveness of a Web-based tailored interactive health communication application for patients with type 2 diabetes or chronic low back pain: randomized controlled trial

Background

The prevalence of chronic diseases such as type 2 diabetes and chronic low back pain is rising. Patient empowerment is a key strategy in the management of chronic diseases. Patient empowerment can be fostered by Web-based interactive health communication applications (IHCAs) that combine health information with decision support, social support, and/or behavioral change support. Tailoring the content and tone of IHCAs to the needs of individual patients might improve their effectiveness.

Objective

The main objective was to test the effectiveness of a Web-based, tailored, fully automated IHCA for patients with type 2 diabetes or chronic low back pain against a standard website with identical content without tailoring (control condition) on patients’ knowledge and empowerment.

Methods

We performed a blinded randomized trial with a parallel design. In the intervention group, the content was delivered in dialogue form, tailored to relevant patient characteristics. In the control group, the sections of the text were presented in a content tree without any tailoring. Participants were recruited online and offline and were blinded to their group assignments. Measurements were taken at baseline (t₀), directly after the first visit (t₁), and at 3-month follow-up (t₂). The primary hypothesis was that the tailored IHCA would have larger effects on knowledge and patient empowerment (primary outcomes) than the control website. The secondary outcomes were decisional conflict and preparation for decision making. All measurements were conducted by online self-report questionnaires. Intention-to-treat (ITT) and available cases (AC) analyses were performed for all outcomes.

Results

A total of 561 users agreed to participate in the study. Of these, 179 (31.9%) had type 2 diabetes and 382 (68.1%) had chronic low back pain. Usage was significantly higher in the tailored system (mean 51.2 minutes) than in the control system (mean 37.6 minutes; P<.001). Three months after system use, 52.4% of the sample was retained. There was no significant intervention effect in the ITT analysis. In the AC analysis, participants using the tailored system displayed significantly more knowledge at t₁ (P=.02) and more emotional well-being (subscale of empowerment) at t₂ (P=.009). The estimated mean difference between the groups was 3.9 (95% CI 0.5-7.3) points for knowledge and 25.4 (95% CI 6.3-44.5) points for emotional well-being on a 0-100 points scale.

Conclusions

The primary analysis did not support the study hypothesis. However, content tailoring and interactivity may increase knowledge and reduce health-related negative effects in persons who use IHCAs. There were no main effects of the intervention on other dimensions of patient empowerment or decision-related outcomes. This might be due to our tailored IHCA being, at its core, an educational intervention offering health information in a personalized, empathic fashion that merely additionally provides decision support. Tailoring and interactivity may not make a difference with regard to these outcomes.

Trial Registration

International Clinical Trials Registry: DRKS00003322; http://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS00003322 (Archived by WebCite at http://www.webcitation.org/6WPO0lJwE).