Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials

Bibliometric analysis confirms expected trends in consumer health information publications

BACKGROUND

This study provides an overview of consumer health information (CHI) scholarly communication trends.

OBJECTIVES

To explore CHI publications trends, journal citations, prolific authors, countries of origin, and distribution of CHI publications.

METHODS

A bibliometric analysis was used; 8953 records from the Web of Science (WoS) and peer-reviewed journal articles from databases, including LISA, MEDLINE, ERIC, PREMEDLINE and EMBASE were analysed.

RESULTS

Publications on CHI rapidly increased from 1980 to 2019, especially during the 1990s and 2000s. Most journals that have published CHI research are based in North America and Europe.

CONCLUSION

The increase in the CHI literature corresponds with that in Internet usage in the 2000s, and explains the availability of CHI content online. This trend is associated with the widespread adoption of personal computers (PCs) and other Internet-enabled gadgets.

Modeling Consumer Acceptance and Usage Behaviors of m-Health: An Integrated Model of Self-Determination Theory, Task-Technology Fit, and the Technology Acceptance Model

Although mobile health (m-health) has great potential to reduce the cost of medical care and improve its quality and efficiency, it is not widely accepted by consumers. In addition, there is still a lack of comprehensive insight into m-health acceptance, especially among consumers with different demographic characteristics. This study aimed to explore the factors affecting consumers' acceptance and usage behaviors of m-health and to examine whether their roles differ by demographic characteristics. A comprehensive m-health acceptance model was proposed by integrating factors from the Self-Determination Theory, Task-Technology Fit, and Technology Acceptance Model. Survey data were collected from 623 Chinese adults with at least 6 months of m-health usage experience and analyzed using structural equation modeling techniques. Multi-group analyses were performed to assess whether the model relationships were different across gender, age, and usage experience. The results indicated that relatedness and competence were significant motivational antecedents of perceived ease of use. Task-technology fit and the perceived ease of use significantly affected the perceived usefulness. The perceived ease of use and perceived usefulness were significant determinants of consumer usage behaviors of m-health and together explained 81% of its variance. Moreover, the relationships among autonomy, perceived usefulness, and usage behaviors of m-health were moderated by gender. Consumer usage behaviors of m-health were affected by factors such as self-motivation (i.e., relatedness and competence), technology perceptions (i.e., perceived ease of use and perceived usefulness), and task-technology fit. These findings provide a theoretical underpinning for future research on m-health acceptance and provide empirical evidence for practitioners to promote the better design and use of m-health for healthcare activities.

A New Taxonomy for Technology-Enabled Diabetes Self-Management Interventions: Results of an Umbrella Review

BACKGROUND

A 2017 umbrella review defined the technology-enabled self-management (TES) feedback loop associated with a significant reduction in A1C. The purpose of this 2021 review was to develop a taxonomy of intervention attributes in technology-enabled interventions; review recent, high-quality systematic reviews and meta-analyses to determine if the TES framework was described and if elements contribute to improved diabetes outcomes; and to identify gaps in the literature.

METHODS

We identified key technology attributes needed to describe the active ingredients of TES interventions. We searched multiple databases for English language reviews published between April 2017 and April 2020, focused on PwD (population) receiving diabetes care and education (intervention) using technology-enabled self-management (comparator) in a randomized controlled trial, that impact glycemic, behavioral/psychosocial, and other diabetes self-management outcomes. AMSTAR-2 guidelines were used to assess 50 studies for methodological quality including risk of bias.

RESULTS

The TES Taxonomy was developed to standardize the description of technology-enabled interventions; and ensure research uses the taxonomy for replication and evaluation. Of the 26 included reviews, most evaluated smartphones, mobile applications, texting, internet, and telehealth. Twenty-one meta-analyses with the TES feedback loop significantly lowered A1C.

CONCLUSIONS

Technology-enabled diabetes self-management interventions continue to be associated with improved clinical outcomes. The ongoing rapid adoption and engagement of technology makes it important to focus on uniform measures for behavioral/psychosocial outcomes to highlight healthy coping. Using the TES Taxonomy as a standard approach to describe technology-enabled interventions will support understanding of the impact technology has on diabetes outcomes.

The efficacy of web or mobile-based interventions to alleviate emotional symptoms in people with advanced cancer: a systematic review and meta-analysis

PURPOSE

This review aims to critically evaluate the efficacy of web or mobile-based (WMB) interventions impacting emotional symptoms in patients with advanced cancer.

METHOD

Articles published from 1991 to 2019 were identified using PubMed, PsycINFO, CINAHL, and Scopus. Only interventions involving adults with advanced cancer using a WMB intervention to manage emotional symptoms were included. Risk of bias was assessed using ROBINS-I and ROB2 tools. Studies that reported mean symptom scores were pooled using a random-effects model, and standardized mean difference (SMD) and 95% CIs were calculated.

RESULTS

Twenty-three of the 1177 screened studies met the inclusion criteria, and a total sample of 2558 patients were included. The sample was 57% female, and 33% had advanced cancer with mean age of 57.15 years. Thirteen studies evaluated anxiety, nineteen evaluated depression, and eleven evaluated distress. Intervention components included general information, tracking, communication, multimedia choice, interactive online activities, tailoring/feedback, symptom management support content, and self-monitoring. Overall pooled results showed that WMB interventions' effects on decreasing anxiety (SMD - 0.20, - 0.45 to 0.05, I² = 72%), depression (SMD - 0.10, - 0.30 to 0.11, I² = 73%), and distress (SMD - 0.20, - 0.47 to 0.06, I² = 60%) were not significant for randomized controlled trials (RCTs). In contrast, WMB interventions significantly decreased symptoms of anxiety (p = .002) in a sub-group analysis of non-RCTs.

CONCLUSION

This meta-analysis demonstrated that WMB interventions were not efficacious in alleviating emotional symptoms in adults with advanced cancer. Considering the diversity of interventions, the efficacy of WMB interventions and its impacts on emotional symptoms should be further explored.

Effectiveness of smartphone application-based self-management interventions in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials

AIMS

To synthesize evidences on smartphone application-based intervention and determine its effectiveness on glycaemic control, self-management behaviours, psychological well-being, quality of life and cardiometabolic risk factors.

DESIGN

A systematic review and meta-analysis of randomized controlled trials (RCTs).

DATA SOURCES

Major English and Chinese electronic databases were searched from January 2008 to January 2021, including PubMed, Web of Science, Embase, Cochrane Central Register of Controlled Trials, Google Scholar, China National Knowledge Infrastructure (CNKI), Wanfang and Sinomed.

REVIEW METHODS

RCTs were screened and selected if they used smartphone applications to support patients in the self-management of diabetes. Data extraction and methodological assessment were performed by two reviewers independently. Meta-analysis was performed to pool the intervention effect on outcomes of interest using RevMan 5.3.

RESULTS

Across 19 included trials involving 2585 participants, smartphone application-based interventions were associated with a clinically and statistically significant reduction of glycated haemoglobin (HbA1c). Beneficial effects were also observed in participants' behavioural performance, especially in medication adherence. Intervention effects on psychological status, quality of life and cardiometabolic risk factors were nonsignificant. Subgroup analysis showed interactive approach with medium frequency or flexible facilitator-patient interaction induced a larger effect on HbA1c reduction. Besides, patients with baseline HbA1c ≥9% benefited more than those with HbA1c <9% from the use of smartphone applications.

CONCLUSIONS

Smartphone application-based diabetes self-management intervention could optimize patients' glycaemic control and enhance participants' self-management performance. Further endeavour is required to examine the long-term effects and cost-effectiveness of smartphone application-based intervention before promoting the adoption and dissemination of such intervention.

IMPACT

This review supports the potential of smartphone application-based intervention as effective approach to optimize glycaemic control and promote self-management engagement among patients with type 2 diabetes. Suggestions for future research and practice are provided and discussed.

Prevalence and Predictors of Health-Related Internet and Digital Device Use in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Results From a 2014 Community-Based Survey

Background

South Asian Canadians are at high risk of developing cardiovascular disease and diabetes. Consumer-oriented health information technology may help mitigate lifestyle risk factors and improve chronic disease self-management.

Objective

This study aims to explore the prevalence, patterns, and predictors of the use of the internet, digital devices, and apps for health purposes as well as preferences for future use of eHealth support in South Asian Canadians.

Methods

We conducted a cross-sectional, mixed-mode survey in a convenience sample of 831 South Asian adults recruited at faith-based gathering places, health care settings, and community events in Edmonton, Alberta, in 2014. The 706 responders (mean age 47.1, SD 17.6 years; n=356, 50.4% female; n=509, 72.1% Sikh) who provided complete sociodemographic information were included in the analysis, and the denominators varied based on the completeness of responses to each question. Multivariate logistic regression was used to determine sociodemographic and health status predictors of internet use, being a web-based health information seeker, smartphone or tablet ownership, health app use, and willingness to use various modes of eHealth support.

Results

Of all respondents, 74.6% (527/706) were internet users and 47.8% (336/703) were web-based health information seekers. In addition, 74.9% (527/704) of respondents owned a smartphone or tablet and 30.7% (159/518) of these had a health and fitness app. Most internet users (441/527, 83.7%) expressed interest in using ≥1 mode of eHealth support. Older age, being female, having less than high school education, preferring written health information in languages other than English, and lacking confidence in completing medical forms predicted lack of internet use. Among internet users, factors that predicted web-based health information seeking were being female, use of the internet several times per day, being confident in completing medical forms, and preferring health information in English. Predictors of not owning a smartphone or tablet were being older, preferring health information in languages other than English, having less than high school education, living in Canada for <5 years, having a chronic health condition, and having diabetes. Increasing age was associated with lower odds of having a health app. Preferring health information in languages other than English consistently predicted lower interest in all modes of eHealth support.

Conclusions

eHealth-based chronic disease prevention and management interventions are feasible for South Asian adults, but digital divides exist according to language preference, education, age, sex, confidence in completing medical forms, and number of years lived in Canada. Community-based, culturally tailored strategies targeting these factors are required to address existing divides and increase the uptake of credible web-based and app-based resources for health purposes.

Effect of diabetes self-management education (DSME) on glycated hemoglobin (HbA1c) level among patients with T2DM: Systematic review and meta-analysis of randomized controlled trials

BACKGROUND AND AIMS

Type 2 Diabetes mellitus (T2DM) has been a global public health issue causing in physical, financial and psychosocial crises. The aim of this systematic review and meta-analysis (SRMA) was to evaluate the Diabetes Self-Management Education or Support (DSME/S) on glycosylated hemoglobin (HbA1c) among T2DM patients.

METHODS

This SRMA was made according to preferred reporting Items for systematic review and Meta-analysis (PRISMA) guidelines. The relevant articles were searched from four databases: Cochrane Library, MEDLINE (EBSCOhost), MEDLINE/PubMed and SCOPUS. Quality assessment was carried out. Pooled standard mean difference in HbA1c were calculated to obtain the effect size with random effect assumption. Subgroup analysis was conducted for assessing heterogeneity among the studies.

RESULTS

A total of 1312 studies were identified from databases. Among these 25 studies met inclusion criteria. From these 20 were included in the meta-analysis. In meta-analysis a pooled standard mean difference in HbA1c was -0.604 (95% confidence interval = -0.854 -0.353, I² = 90.3, p < 0.001). In subgroup analysis a significant reduction was seen among studies with less than four months, upper middle followed by lower middle income countries (LMICs), Western Pacific (WP) followed by Middle Eastern and Northern African (MENA) regions with moderate to substantial heterogeneity.

CONCLUSION

However, there is paucity of studies in underdeveloped countries. Therefore, further studies validated to these contexts are needed to evaluate the DSME effectiveness.

TRIAL REGISTRATION

PROSPERO database CRD42020124236.

The effectiveness of diabetes self-management education (DSME) on glycemic control among T2DM patients randomized control trial: systematic review and meta-analysis protocol

BACKGROUND

Type 2 Diabetes mellitus (T2DM) has been a global pandemic resulting in physical, financial and psychosocial crises. Thus, it is important to investigate pooled effectiveness of Diabetes Self-Management Education (DSME) on glycemic control among T2DM patients.

OBJECTIVE

The aim of this systematic review and meta-analysis is to investigate the association between DSME or Support (DSME/S) and glycemic control among T2DM patients.

METHODS

The systematic review and meta-analysis will include studies conducted throughout the world from 2010 to 2019. T2DM patients and their clinical, anthropometric, biomarkers from baseline to end line will be recorded. We will search all relevant articles from five databases namely; Cochrane Library, BioMed Central, MEDLINE (EBSCOhost), MEDLINE/PubMed and SCOPUS. Key terms will be used for questing relevant articles. Further efforts will be made to check quality of studies base on quality assessment instruments. Finally, the report will be made according Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. Pooled standard mean difference in HbA1c will be used to calculate the effect size between the variables with random effects analysis assumption. Further subgroup analysis will be carried out for assessing the risk difference among groups.

CONCLUSION

Based on the existing and eligible researches this systematic review and meta-analysis will bring the best evidence on the effectiveness of DSME/S on glycemic control among the T2DM patients. Moreover, the subgroup analysis will inform the effectiveness heterogeneity based on continent, International Diabetes Federation (IDF) region, intervention period, World bank economic classification and glycemic markers used to follow the patients. The proposed review has been registered in the International PROSPERO website with registration number CRD42020124236.

Analysis of medical expenses of inpatients with diabetes: China's Eastern, Central, and Western regions (2013-2015)

OBJECTIVE

With the continuing rise in the global incidence of diabetes, the prevention of diabetes and control of associated medical expenses has become a public health issue worldwide. This study aims to identify the medical expenses of patients with diabetes in different regions of China and examine the differences in inpatient medical expenses and the impacts of them on these patients.

STUDY DESIGN

This study is a longitudinal analysis of medical expenses for inpatients with diabetes for different years; horizontal analysis of medical expenses among different regions; and literature review.

METHODS

Data were derived from China's Medical Insurance Department database. We selected inpatients with diabetes in the eastern, central, and western regions of China for the period 2013-2015 and randomly selected data through systematic sampling.

RESULTS

Among the 4150 patients with diabetes considered in this study, the patients' medical expenses were found to differ significantly across regions, years, ages, medical insurance types, medical institution levels, total medical expenses, medical insurance fund payments, and out-of-pocket (OOP) expenses. In addition, there were significant differences in total medical expenses for male and female patients. Furthermore, medical insurance type, patients' age, medical institution level, and year significantly influenced total medical expenses.

CONCLUSIONS

Inpatients with diabetes in different regions exhibited significant differences in total medical expenses, medical insurance fund payments, and OOP expenses. China should invest more in chronic disease treatment in its central and western regions, narrow the regional differences in medical expenses, and endeavor to ensure equity in the availability and cost of medical services. Moreover, patients with diabetes must be encouraged to access primary care to reduce their medical expenses.

Presenting self-monitoring test results for consumers: the effects of graphical formats and age

Objective

To examine the effects of graphical formats and age on consumers' comprehension and perceptions of the use of self-monitoring test results.

Methods

Participants (36 older and 36 young adults) were required to perform verbatim comprehension and value interpretation tasks with hypothetical self-monitoring test results. The test results were randomly presented by four reference range number lines: basic, color enhanced, color/text enhanced, and personalized information enhanced formats. We measured participants' task performance and eye movement data during task completion, and their perceptions and preference of the graphical formats.

Results

The 4 graphical formats yielded comparable task performance, while text/color and personalized information enhanced formats were believed to be easier and more useful in information comprehension, and led to increased confidence in correct comprehension of test results, compared with other formats (all p's < .05). Perceived health risk increased as the formats applied more information cues (p = .008). There were age differences in task performance and visual attention (all p's < .01), while young and older adults had similar perceptions for the 4 formats. Personalized information enhanced format was preferred by both groups.

Conclusions

Text/color and personalized information cues appear to be useful for comprehending test results. Future work can be directed to improve the design of graphical formats especially for older adults, and to assess the formats in clinical settings.

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

BACKGROUND

Mobile- and Internet-delivered (collectively, digital) interventions are widely used by persons with diabetes (PWD) to assist with self-management and improve/maintain glycemic control (hemoglobin A1c [A1c]). However, evidence concerning the acceptance and benefits of such interventions among disadvantaged/vulnerable PWD is still quite limited.

PURPOSE OF REVIEW

We reviewed studies published from 2011-April 2019 evaluating the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes (T2D). Included studies reported ≥ 50% of the sample having a low socioeconomic status and/or being a racial/ethnic minority, or living in a rural setting or low-/middle-income country (LMIC). We identified 21 studies evaluating a digital intervention among disadvantaged/vulnerable PWD.

RECENT FINDINGS

Although many digital interventions found within-group A1c improvements (16 of 21 studies), only seven of the seventeen studies with a control group found between-group differences in A1c. Three studies found reductions in emergency room (ER) visits and hospitalizations. We synthesize this information, and provide recommendations for increasing access, and improving the design and usability of such interventions. We also discuss the role of human support in digital delivery, issues related to study design, reporting, economic value, and available research in LMICs. There is evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research is needed to substantiate these early findings, and many issues remain in order to optimize the impact of digital interventions on the health outcomes of disadvantaged/vulnerable persons with diabetes.

New Paradigm of Personalized Glycemic Control Using Glucose Temporal Density Histograms

BACKGROUND

Current methods used to assess glycemic control use averaged measures and provide little information on the glycemic pathology of the patients. In this article we propose visual tools and their related mathematical formulas that allow for improved characterization of the glycemic behavior and achieve better glycemic control.

METHODS

We present a reanalysis of published data, based on SMBG measurements from clinical trials of both men and women older than 18 years who were either healthy volunteers, prediabetes, or type 1 or type 2 diabetes. New graphic visualizations of glycemia as well as mathematical formulas that describe the glycemic behavior are presented and described, as well as suggested methods for their use to improve glycemic control.

RESULTS

Patients with different problems in their glycemic control had different histogram shapes. In addition, patients who had the same HbA1c level at the time of the trial revealed significantly different glucose histograms with different shapes, variability and glycemic burden. The derived graphic visualizations provided information about the temporal evolution of the glycemic control.

CONCLUSIONS

A paradigm change of the existing model of diabetes control is proposed, shifting from standardized treatment algorithms based on HbA1c follow-up to a new controlling approach that is based on the personal glucose density histogram. The histogram is an informative, detailed tool for the current patient glycemic behavior, and a future histogram can be targeted for a successful treatment. In addition, the glucose burden and the glucose severity index are proposed as informative markers for successful treatment. This is applicable to any glycemic data, by means of invasive and noninvasive glucometers.

Rethinking Models of Outpatient Specialist Care in Type 2 Diabetes Using eHealth: Study Protocol for a Pilot Randomised Controlled Trial

Conventional outpatient services are unlikely to meet burgeoning demand for diabetes services given increasing prevalence of diabetes, and resultant impact on the healthcare workforce and healthcare costs. Disruptive technologies (such as smartphone and wireless sensors) create an opportunity to redesign outpatient services. In collaboration, the Department of Diabetes and Endocrinology at Brisbane Princess Alexandra Hospital, the University of Queensland Centre for Health Services Research and the Australian e-Health Research Centre developed a mobile diabetes management system (MDMS) to support the management of complex outpatient type 2 diabetes mellitus (T2DM) adults. The system comprises of a mobile App, an automated text-messaging feedback and a clinician portal. Blood glucose levels (BGL) data are automatically transferred by Bluetooth-enabled glucose meter to the clinician portal via the mobile App. The primary aim of the study described here is to examine improvement in glycaemic control of a new model of care employing MDMS for patients with complex T2DM attending a tertiary level outpatient service. A two-group, 12-month, pilot pragmatic randomised control trial will recruit 44 T2DM patients. The control group will receive routine care. The intervention group will be supported by the MDMS enabling the participants to potentially better self-manage their diabetes, and the endocrinologists to remotely monitor BGL and to interact with patients through a variety of eHealth modalities. Intervention participants will be encouraged to complete relevant pathology tests, and report on current diabetes management through an online questionnaire. Using this information, the endocrinologist may choose to reschedule the appointment or substitute it with a telephone or video-consultation. This pilot study will guide the conduct of a large-scale study regarding the capacity for a new model of care. This model utilises multimodal eHealth strategies via the MDMS to primarily improve glycaemic control with secondary aims to improve patient experience, reduce reliance on physical clinics, and decrease service delivery cost.

Effects of presentation formats on consumers' performance and perceptions in the use of personal health records among older and young adults

OBJECTIVE

To examine the effects of presentation formats on consumers' performance and perceptions in the use of personal health records (PHRs) and to compare the effects between older and young adults.

METHODS

A two-factor, mixed design experiment was conducted, where 36 older and 36 young participants were presented with hypothetical PHRs. The PHRs were randomly presented by six presentation formats: three tables and three line graphs, varying by visual cues. Participants' performance and perceptions in the use of PHRs were measured.

RESULTS

Presentation formats affected participants' performance and perceptions. Visual cue-enhanced line graphs and tables yielded less time and fewer errors, were considered easier and more useful in information comprehension, and resulted in higher confidence in correct comprehension of PHRs (all p's < 0.01), compared with their basic counterparts. There were age-related differences in task performance (all p's < 0.05), while young and older adults had similar perceptions for the six formats. Line graph with colored background was most preferred by both groups.

CONCLUSION

Visual cue-enhanced presentation formats appear effective in facilitating comprehension and eliciting favorable perceptions of PHRs for both young and older adults.

PRACTICE IMPLICATIONS

Consumer-facing displays of PHRs could use visual cue-enhanced presentation formats to facilitate comprehension.

Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review

BACKGROUND

Addiction is one of the most rapidly growing epidemics that currently plagues nations around the world. In the United States, it has cost the government more than US $700 billion a year in terms of health care and other associated costs and is also associated with serious social, physical, and mental consequences. Increasing efforts have been made to tackle this issue at different levels, from primary prevention to rehabilitation across the globe. With the use of digital technology rapidly increasing, an effort to leverage the consumer health information technologies (CHITs) to combat the rising substance abuse epidemic has been underway. CHITs are identified as patient-focused technological platforms aimed to improve patient engagement in health care and aid them in navigating the complex health care system.

OBJECTIVE

This review aimed to provide a holistic and overarching view of the breadth of research on primary prevention of substance abuse using CHIT conducted over nearly past five decades. It also aimed to map out the changing landscape of CHIT over this period.

METHODS

We conducted a scoping review using the Arksey and O'Malley's modified methodological framework. We searched 4 electronic databases (PubMed, Cochrane, Scopus, and EMBASE). Papers were included if the studies addressed the use of CHIT for primary prevention of substance abuse and were published in English between 1809 and 2018. Studies that did not focus solely on primary prevention or assessed additional comorbid conditions were eliminated.

RESULTS

Forty-two papers that met our inclusion criteria were included in the review. These studies were published between 1970 and 2018 and were not restricted by geography, age, race, or sex. The review mapped studies using the most commonly used CHIT platforms for substance abuse prevention from mass media in the 1970s to mobile and social media in 2018. Moreover, 191 studies that were exclusively focused on alcohol prevention were excluded and will be addressed in a separate paper. The studies included had diverse research designs although the majority were randomized controlled trials (RCT) or review papers. Many of the RCTs used interventions based on different behavioral theories such as family interactions, social cognitive theories, and harm-minimization framework.

CONCLUSIONS

This review found CHIT platforms to be efficacious and cost-effective in the real-world settings. We also observed a gradual shift in the types and use of CHIT platforms over the past few decades and mapped out their progression. In addition, the review detected a shift in consumer preferences and behaviors from face-to-face interactions to technology-based platforms. However, the studies included in this review only focused on the aspect of primary prevention. Future reviews could assess the effectiveness of platforms for secondary prevention and for prevention of substance abuse among comorbid populations.

Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users

Despite the proliferation of health and nursing informatics applications in the past decade, factors influencing consumer acceptance of the applications are not well understood. This study was conducted to investigate factors affecting acceptance of a consumer-used nursing informatics application (ie, online health information portal) within the framework of the Technology Acceptance Model. A cross-sectional study was conducted in which 201 Chinese young adults were invited to participate in usability testing with a typical health information portal and to complete a self-report questionnaire measuring the model's constructs and five hypothesized variables drawn from consumer and portal characteristics. Hierarchical regression analyses were used to test research hypotheses. Fifteen of the 22 research hypotheses were supported. Perceived ease of use and perceived usefulness predicted satisfaction and behavioral intention, respectively, over and above the portal and consumer characteristics examined in the study. All portal and consumer characteristics had significant, although varied, impacts on the original model constructs. This study demonstrated that an adapted Technology Acceptance Model, extended with portal and consumer characteristics, provides an effective means to understand consumer acceptance of health portals. The findings hold important implications for design and implementation strategies to increase the likelihood of acceptance of consumer-used nursing informatics applications.

Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes

PURPOSE OF REVIEW

This study was to present meta-analysis findings across selected clinical trials for the effect of health information technologies (HITs) on glycemic control among patients with type 2 diabetes.

RECENT FINDINGS

HITs may be promising in diabetes management. However, findings on effect size of glycated hemoglobin level (HbA1c) yielded from HITs varied across previous studies. This is likely due to heterogeneity in sample size, adherence to standard quantitative method, and/or searching criteria (e.g., type of HITs, type of diabetes, specification of patient population, randomized vs. nonrandomized trials). We systematically searched Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and the Cochrane Library for peer-reviewed randomized control trials that studied the effect of HITs on HbA1c reduction. We also used Google Scholar and a hand search to identify additional studies. Thirty-four studies (40 estimates) met the criteria and were included in the analysis. Overall, introduction of HITs to standard diabetes treatment resulted in a statistically and clinically reduced HbA1c. The bias adjusted HbA1c reduction due to the combined HIT interventions was - 0.56 [Hedges' g = - 0.56 (- 0.70, - 0.43)]. The reduction was significant across each of the four types of HIT intervention under review, with mobile phone-based approaches generating the largest effects [Hedges' g was - 0.67 (- 0.90, - 0.45)]. HITs can be an effective tool for glycemic control among patients with type 2 diabetes. Future studies should examine long-term effects of HITs and explore factors that influence their effectiveness.

Characterization of Patient Interest in Provider-Based Consumer Health Information Technology: Survey Study

BACKGROUND

Consumer health information technology can improve patient engagement in their health care and assist in navigating the complexities of health care delivery. However, the consumer health information technology offerings of health systems are often driven by provider rather than patient perspectives and inadequately address patient needs, thus limiting their adoption by patients. Consideration given to patients as stakeholders in the development of such technologies may improve adoption, efficacy, and consumer health information technology resource allocation.

OBJECTIVE

The aims of this paper were to measure patient interest in different health system consumer health information technology apps and determine the influence of patient characteristics on consumer health information technology interest.

METHODS

Patients seen at the Cleveland Clinic Neurological Institute were electronically surveyed on their interest in using different consumer health information technology apps. A self-efficacy scale, Patient Health Questionnaire-9 depression screen, and EuroQol 5 dimensions health-related quality of life scale were also completed by patients. Logistic regression was used to determine the influence of patient characteristics on interest in consumer health information technology in the categories of self-management, education, and communication.

RESULTS

The majority of 3852 patient respondents had an interest in all technology categories assessed in the survey. The highest interest was in apps that allow patients to ask questions of providers (3476/3852, 90.24%) and to schedule appointments (3211/3839, 83.64%). Patient interest in consumer health information technology was significantly associated with greater depression symptoms, worse quality of life, greater health self-efficacy, and smartphone ownership (P<.001 for all listed).

CONCLUSIONS

Patients should be viewed as active stakeholders in consumer health information technology development and their perspectives should consistently guide development efforts. Health systems should consider focusing on consumer health information technologies that assist patients in scheduling appointments and asking questions of providers. Patients with depression should also be considered for targeted consumer health information technology implementation. Health self-efficacy is a valid predictor of consumer health information technology interest and may play a role in the utilization of consumer health information technologies. Health systems, broadly, should put forth greater effort to understand the needs and interests of patients in the consumer health information technology development process. Consumer health information technology design and implementation may be improved by understanding which technologies patients want.

Features and Effects of Information Technology-Based Interventions to Improve Self-Management in Chronic Kidney Disease Patients: a Systematic Review of the Literature

Slowing down the progression of chronic kidney disease (CKD) and its adverse health outcomes requires the patient's self-management and attention to treatment recommendations. Information technology (IT)-based interventions are increasingly being used to support self-management in patients with chronic diseases such as CKD. We conducted a systematic review of randomized controlled trials (RCTs) to assess the features and effects of IT-based interventions on self-management outcomes of CKD patients. A comprehensive search was conducted in Medline, Scopus, and the Cochrane Library to identify relevant papers that were published until May 2016. RCT Studies that assessed at least one automated IT tool in patients with CKD stages 1 to 5, and reported at least one self-management outcome were included. Studies were appraised for quality using the Cochrane Risk of Bias assessment tool. Out of 12,215 papers retrieved, eight study met the inclusion criteria. Interventions were delivered via smartphones/personal digital assistants (PDAs) (three studies), wearable devices (three studies), computerized systems (one study), and multiple component (one study). The studies assessed 15 outcomes, including eight clinical outcomes and seven process of care outcomes. In 12 (80%) of the 15 outcomes, the studies had revealed the effects of the interventions as statistically significant positive. These positive effects were observed in 75% of the clinical outcomes and 86% of the process of care outcomes. The evidence indicates the potential of IT-based interventions (i.e. smartphones/PDAs, wearable devices, and computerized systems) in self-management outcomes (clinical and process of care outcomes) of CKD patients.