Health Information Technology Research Articles

Development of MyREADY Transition BBD Mobile App, a Health Intervention Technology Platform, to Improve Care Transition for Youth With Brain-Based Disabilities: User-Centered Design Approach.

Transition from pediatric to adult health care varies and is resource intensive. Patient-centered health information technology (HIT) interventions are increasingly being developed in partnership with patients. This study aims to develop an internet-based mobile app intervention for patients with brain-based disabilities to improve transition in care readiness. The app was designed for patients aged 15 to 17 years with brain-based disabilities having the ability to use a mobile app. A multidisciplinary team, an industry partner, and a patient and family advisory council was assembled. We hypothesized that existing tools could be migrated into the app to address education, empowerment, and navigation. We used cognitive learning theory to support chapters targeting transition in care skill sets. We used the agile iterative methodology to engage stakeholders. We developed a novel MyREADY Transition HIT platform. An electronic mentor supported cognitive learning with messaging, quizzes, rewards, and videos. We used gaming to guide navigation through a fictitious health care city. Adapting existing tools was achieved by the patient and family advisory council requesting personalization. Our iterative design required time-consuming back-end technology management. Developing the platform took 24 months instead of our grant-approved 12 months, impacting the onset of the planned trial within the allotted budget. A novel patient-centered HIT platform to improve health care transition was successfully developed in partnership with patients and industry. Careful resource management was needed to achieve timely delivery of the end product, flagging the cautious planning required to deliver HIT tools in time for the much-needed trials informing their clinical application. ClinicalTrials.gov NCT03852550; https://clinicaltrials.gov/study/NCT03852550.

Harnessing the Power of Complementarity Between Smart Tracking Technology and Associated Health Information Technologies: Longitudinal Study.

Smart tracking technology (STT) that was applied for clinical use has the potential to reduce 30-day all-cause readmission risk through streamlining clinical workflows with improved accuracy, mobility, and efficiency. However, previously published literature has inadequately addressed the joint effects of STT for clinical use and its complementary health ITs (HITs) in this context. Furthermore, while previous studies have discussed the symbiotic and pooled complementarity effects among different HITs, there is a lack of evidence-based research specifically examining the complementarity effects between STT for clinical use and other relevant HITs. Through a complementarity theory lens, this study aims to examine the joint effects of STT for clinical use and 3 relevant HITs on 30-day all-cause readmission risk. These HITs are STT for supply chain management, mobile IT, and health information exchange (HIE). Specifically, this study examines whether the pooled complementarity effect exists between STT for clinical use and STT for supply chain management, and whether symbiotic complementarity effects exist between STT for clinical use and mobile IT and between STT for clinical use and HIE. This study uses a longitudinal in-patient dataset, including 879,122 in-patient hospital admissions for 347,949 patients in 61 hospitals located in Florida and New York in the United States, from 2014 to 2015. Logistic regression was applied to assess the effect of HITs on readmission risks. Time and hospital fixed effects were controlled in the regression model. Robust standard errors (SEs) were used to account for potential heteroskedasticity. These errors were further clustered at the patient level to consider possible correlations within the patient groups. The interaction between STT for clinical use and STT for supply chain management, mobile IT, and HIE was negatively associated with 30-day readmission risk, with coefficients of -0.0352 (P=.003), -0.0520 (P<.001), and -0.0216 (P=.04), respectively. These results indicate that the pooled complementarity effect exists between STT for clinical use and STT for supply chain management, and symbiotic complementarity effects exist between STT for clinical use and mobile IT and between STT for clinical use and HIE. Furthermore, the joint effects of these HITs varied depending on the hospital affiliation and patients' disease types. Our results reveal that while individual HIT implementations have varying impacts on 30-day readmission risk, their joint effects are often associated with a reduction in 30-day readmission risk. This study substantially contributes to HIT value literature by quantifying the complementarity effects among 4 different types of HITs: STT for clinical use, STT for supply chain management, mobile IT, and HIE. It further offers practical implications for hospitals to maximize the benefits of their complementary HITs in reducing the 30-day readmission risk in their respective care scenarios.

Penerapan Sistem Informasi Manajemen Puskesmas dengan Metode HOT-FIT di Puskesmas Wotu Kabupaten Luwu Timur

The Puskesmas Management Information System (SIMPUS) is an advancement in health information technology that allows data and information to be available quicly, accurately, up-to-date, sustainable, and accountable. The HOT-FIT method has components that focus on the supporting environment and the system. The HOT-FIT model combines human, organisational, and technological elements. This research is descriptive qualitative, using data collection methods indepth interview. The informants consisted of 4 people, namely the main informant in charge of SIMPUS, supporting informants, namely the person in charge of the general clinic who uses SIMPUS and visiting patients, and the key informant, namely the head of the puskesmas. The research results of this indicate that from the information system and user statisfaction at Puskesmas Wotu East Luwu Regency, based on the human aspect is classified as good, while for the organisational aspect in the aspect of the organisational environment is still classified as not good, and the technology aspect for the quality of information is still classified as not good.Suggestions so that the implementation of SIMPUS at Puskesmas Wotu East Luwu Regency can run well, it is necessary to optimize implementation, and improve what is an obstacle in the human, organizational, and technological aspects. Keywords: Implementation of SIMPUS, HOT-FIT Method

Impact of Digital Health Interventions on Birth Equity: A Review.

The rise in smartphone utilization and technology uptake has popularized digital health interventions as a means of supporting healthy pregnancies and optimizing maternal and child health. Digital health interventions include several modalities, such as telemedicine, remote patient monitoring, smartphone applications, web-based interventions, wearables, and health information technology. However, the impact of these interventions on improving maternal and infant health outcomes by race and socioeconomic status to achieve birth equity is unknown. This review summarizes current literature on the impact of digital health interventions on the outcomes of communities of color and lower socioeconomic status in the United States. We demonstrate there is emerging evidence of the impact of digital health interventions on maternal health outcomes, particularly for telemedicine, but evidence specifically focused on assessing outcomes by race and ethnicity and for other modalities, like mHealth apps or wearables, is limited. Digital health interventions may play a part in birth equity initiatives, but should not be considered a standalone solution, and instead should be integrated into other existing efforts to achieve birth equity, like diversifying the clinician workforce, expanding access to high-quality prenatal and postpartum care, or delivering respectful maternity care.

Partisan conflict and stock volatility predictability

ABSTRACT This study investigates the impact of the Partisan Conflict Index (PCI) on stock market volatility within the United States. Results indicate that the PCI is a robust predictor of both in-sample and out-of-sample stock volatility across the aggregate market and most sector-specific markets. Interestingly, the predictive strength of the PCI is pronounced for the aggregate market index and the sectors of utilities, materials, industrials, information technology, energy, telecom services, and consumer discretionary during periods of Republican governance. In contrast, under Democratic governance, the PCI demonstrates significant predictive power in the health care, consumer staples, information technology, and telecom services sectors. These findings contribute novel insights into the stock volatility predictability.

Protocol for a mixed-methods exploratory investigation into the role of health information technology for the provision of cancer care in Indonesia

Background Cancer and its management can incur high costs, high risks and high demand. In Indonesia, there remains gap in the availability of national cancer data despite the establishment of a National Committee for Cancer Control. Multiple pilot projects have been developed by the Ministry of Health to improve the delivery of care, including interventions utilising digital health approaches and integrated referral information systems. However, it is not yet clear to what extent these approaches influence patient management or the experience of cancer patients themselves. This research aims to explore the current role of health information technology (HIT) in the provision of services and treatments for patients with cancer from primary to tertiary healthcare centres in Yogyakarta, Indonesia. Methods The study will adopt an observational mixed-methods single case study design of health facilities involved in the delivery of cancer services in a sub-national health system. We will collect data through face-to-face interviews with a range of health professionals involved in the delivery of cancer care. Patients will be interviewed to share their views and experiences of the existing cancer referral system and communication with health facilities. Alongside interviews, we will undertake an analysis of routine data from participating health facilities to assess gaps in existing information systems. Data analysis will include framework analysis for qualitative data alongside descriptive analyses of quantitative data. Findings will be used to inform conceptual maps to be presented as part of Theory of Change workshops focused on understanding how the existing cancer referral system works, why and for whom, with a focus on future refinement and intervention development. Conclusion Our findings will inform critical thinking around the design, implementation, adaptation, and evaluation of existing systems. Through early engagement and participation of key stakeholders and project partners, we intend that findings will have immediate utility.

Abstract C063: Using a disparities dashboard to identify racial/ethnic differences in breast cancer treatment: Implications for improving cancer care delivery

Abstract Purpose: The use of a cancer dashboard to assess and inform real time assessments of the timing of surgery and systemic treatment by race/ethnicity may be used to address delays in cancer treatment. Yet, the utility of cancer dashboards in cancer settings are unclear as electronic medical record (EMR) stage data are unstructured. We investigated whether a cancer disparities dashboard can be used to assess racial/ethnic differences in the first line of breast cancer treatment and timeliness of breast cancer surgery. Methods: A disparities cancer dashboard was built using data from the tumor registry and the EMR’s Data Warehouse. Key fields assessing patient race/ethnicity, cancer stage, receptor status, surgery type, treatments received and dates of surgery were collected. This retrospective analysis included women diagnosed with a new primary breast cancer who underwent definitive surgery at an urban Hospital (2010-2020). We defined delays as &amp;gt;8 weeks to treatment initiation, and delay to breast surgery as &amp;gt; 6 weeks from diagnosis. Chi-square and t tests were used to assess independent variables (e.g., stage, age) by race/ethnicity. Patient-level multivariable logistic regression was used to evaluate the association between race/ethnicity and delays to initiation of first treatment and surgical delays. Results: Of 8,403 women identified (46.5% non-Hispanic White, 17.7% Black, 16.9% Hispanic), 66% had stage I cancer, 72% had estrogen receptor cancer. 18.6% of the sample had delays to first treatment modality and 42.6% experienced delays to breast surgery. After adjusting for stage, age and receptor status Black patients compared to non-Hispanic White patients had the greatest likelihood of delayed first treatment (OR: 2.09; 95% CI:1.7-2.5) or surgery delays (OR:1.76; 95% CI:1.5-2.0). With regards to clinical/sociodemographic factors younger patients (22-39 vs. 40-64; p&amp;lt;0.001), mastectomy surgery type (vs lumpectomy; p=0.031), higher stage (stage 3 vs.1; p&amp;lt;0.0001), HER2 + and TNBC receptor status (vs. ER+; p&amp;lt;0.0001) were more likely to experience surgery delays. Conclusions: Given persistent breast cancer survival disparities, health IT strategies are needed to help reduce disparities. A disparities dashboard can be used to assess differences in timeliness of care when treatment can still affect outcomes. These data can be used to inform quality initiatives to improve cancer care delivery for at-risk patient populations who experience worse cancer outcomes. Citation Format: Megan Edmonds, Parul Agarwal, Tara Balija, Cardinale Smith, Nina Bickell. Using a disparities dashboard to identify racial/ethnic differences in breast cancer treatment: Implications for improving cancer care delivery [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C063.

Lessons Learned from the Zika Virus Epidemics: A Mounting Demand for Adopting Public Health Informatics Tools and Technologies for Epidemiological Surveillance and Outbreak Containment

Lessons Learned from the Zika Virus Epidemics: A Mounting Demand for Adopting Public Health Informatics Tools and Technologies for Epidemiological Surveillance and Outbreak Containment

System interoperability and data linkage in the era of health information management: A bibliometric analysis.

Background: Across the world, health data generation is growing exponentially. The continuous rise of new and diversified technology to obtain and handle health data places health information management and governance under pressure. Lack of data linkage and interoperability between systems undermines best efforts to optimise integrated health information technology solutions. Objective: This research aimed to provide a bibliometric overview of the role of interoperability and linkage in health data management and governance. Method: Data were acquired by entering selected search queries into Google Scholar, PubMed, and Web of Science databases and bibliometric data obtained were then imported to Endnote and checked for duplicates. The refined data were exported to Excel, where several levels of filtration were applied to obtain the final sample. These sample data were analysed using Microsoft Excel (Microsoft Corporation, Washington, USA), WORDSTAT (Provalis Research, Montreal, Canada) and VOSviewer software (Leiden University, Leiden, Netherlands). Results: The literature sample was retrieved from 3799 unique results and consisted of 63 articles, present in 45 different publications, both evaluated by two specific in-house global impact rankings. Through VOSviewer, three main clusters were identified: (i) e-health information stakeholder needs; (ii) e-health information quality assessment; and (iii) e-health information technological governance trends. A residual correlation between interoperability and linkage studies in the sample was also found. Conclusion: Assessing stakeholders' needs is crucial for establishing an efficient and effective health information system. Further and diversified research is needed to assess the integrated placement of interoperability and linkage in health information management and governance. Implications: This research has provided valuable managerial and theoretical contributions to optimise system interoperability and data linkage within health information research and information technology solutions.

Lean Six Sigma quality improvement approach to implement clinical practice guidelines for prescribing opiates for chronic pain in a primary care setting

BackgroundImplementing guidelines for chronic opioid management during a clinic merger posed significant challenges. Our aim was to increase the percentage of chronic pain evaluations and urine toxicology tests in patients...

Factors Influencing the Successful Implementation of eHealth in Healthcare Facilities in Developing Countries: A Scoping Review

eHealth is the leveraging of Information and Communication Technologies (ICT) in health. Its use in complementing health services has risen substantially in the previous 20 years. The study explored the factors that influence the implementation of eHealth in healthcare delivery in developing countries. Three scientific bibliographical databases: PubMed, EBSCO Host, and Google Scholar were reviewed. Titles and abstracts were assessed using predefined inclusion and exclusion criteria. An exploratory study was done to assess the factors (facilitators and barriers) influencing the successful implementation of eHealth in developing countries. The searches yielded 11,001 resources, with 33 articles meeting the inclusion criterion of being in English and describing eHealth implementation in developing countries in the period January 2016 to December 2023. These were included in the study and thoroughly analyzed. Some key factors that influence the successful implementation of eHealth services were presented with computer literacy having the highest frequency in eHealth implementation. It is worth noting that barriers are factors that have a negative impact on implementation; nevertheless, by addressing barriers early on, they can be viewed as facilitators.

User Experiences of Transitioning From a Homegrown Electronic Health Record to a Vendor-Based Product in the Department of Veterans Affairs: Qualitative Findings From a Mixed Methods Evaluation.

The Department of Veterans Affairs (VA), the largest nationally integrated health system in the United States, is transitioning from its homegrown electronic health record (EHR) to a new vendor-based EHR, Oracle Cerner. Experiences of the first VA site to transition have been widely discussed in the media, but in-depth accounts based on rigorous research are lacking. We sought to explore employee perspectives on the rationale for, and value of, transitioning from a VA-tailored EHR to a vendor-based product. As part of a larger mixed methods, multisite, formative evaluation of VA clinician and staff experiences with the EHR transition, we conducted semistructured interviews at the Mann-Grandstaff VA Medical Center before, during, and after going live in October 2020. In total, we completed 122 interviews with 26 participants across multiple departments. Before the new vendor-based EHR went live, participants initially expressed cautious optimism about the transition. However, in subsequent interviews following the go-live, participants increasingly critiqued the vendor's understanding of VA's needs, values, and workflows, as well as what they perceived as an inadequate fit between the functionalities of the new vendor-based EHR system and VA's characteristic approach to care. As much as a year after going live, participants reiterated these concerns while also expressing a desire for substantive changes to the transition process, with some questioning the value of continuing with the transition. VA's transition from a homegrown EHR to a vendor-based EHR system has presented substantial challenges, both practical and cultural in nature. Consequently, it is a valuable case study for understanding the sociotechnical dimension of EHR-to-EHR transitions. These findings have implications for both VA leadership and the broader community of policy makers, vendors, informaticists, and others involved in large-scale health information technology implementations.

Do Technical Implementations Help Physicians: An Evaluation of a New Procedure Documentation Tool on Provider Efficiency in the Electronic Health Record

Introduction. Provider time spent in the electronic health record (EHR) continues to increase, adding stress to an already demanding field. This study quantified the impact of a new EHR procedure documentation tool designed to reduce charting burden. Methods. This retrospective cohort study was conducted at the University of Kansas Health System and involved ambulatory physicians from all hospitals who were granted access to a new procedural documentation tool. Data on time spent per chart and clicks per chart per office visit were gathered from the hospital's EHR system. The cohort also completed a survey regarding their self-perceived efficiency in the EHR and charting burden. Results. The procedure documentation tool was used for 68% (25/37) of eligible procedures at one-month post-implementation. There was no significant difference in minutes per chart between the group that used the tool and the group that did not, although the group using the tool had lower charting time (median difference [MD] = 5.517; 95% CI, -0.283 to 13.317; p = 0.066). A similar trend was seen with clicks per chart, with an MD of 4 (95% CI, -3 to 11; p = 0.25). Conclusions. While the difference was not significant, this study achieved its goal of quantifying the impact of a health information technology (HIT) project and indicates the need for further examination of how to quantify future projects. It lays the groundwork for future evaluation of similar tools and studies.

A case report of system configuration issue in medical imaging due to system upgrade- changes in hardware and software.

Although the rapid growth in the efficiency of medical imaging is undeniable, the expansion of health information technology (HIT) into medical imaging has not been as seamless or well-integrated as it was thought to be. The socio-technical complexities in medical imaging associated with HIT systems can cause risks to patient harm and inconvenience, both individually and collectively, often in new, unforeseen, and unexpected ways. This study reflects a retrospectively collected single incident report related to medical imaging HIT systems, aiming to develop a set of preventive and corrective strategies. A combination of multiple deductive approaches (existing frameworks), i.e., HIT Classification Systems and 18-step medical imaging process workflow and inductive method (content analysis), were used to analyze the incident. The incident was identified as a "system configuration"-related software issue, contributed by system upgrade- changes in hardware and software. The incident was determined to occur during steps 10-12, i.e., "study selection and retrieval," "calling up of patient's referral," and "image review and interpretation," causing severe disruptions in the clinical workflow for several weeks. We propose 16 preventive and corrective strategies grouped under four key areas based on the socio-technical aspects associated with HIT systems. The key areas are (i) preparation and integration for upgraded systems, (ii) training for medical imaging specialists, (iii) contingency planning/immediate backup system, and (iv) system design and configuration. These strategies are expected to help healthcare staff, analysts, reporters, researchers, and relevant stakeholders improve care delivery and patient safety in medical imaging in the context of any system upgrades.

Building Capacity of Community Health Centers to Improve the Provision of Postpartum Care Services Through Data-Driven Health Information Technology and Innovation.

Maternal morbidity and mortality remain significant challenges in the United States, with substantial burden during the postpartum period. The Centers for Disease Control and Prevention, in partnership with the National Association of Community Health Centers, began an initiative to build capacity in Federally Qualified Health Centers to (1) improve the infrastructure for perinatal care measures and (2) use perinatal care measures to identify and address gaps in postpartum care. Two partner health center-controlled networks implemented strategies to integrate evidence-based recommendations into the clinic workflow and used data-driven health information technology (HIT) systems to improve data standardization for quality improvement of postpartum care services. Ten measures were created to capture recommended care and services. To support measure capture, a data cleaning algorithm was created to prioritize defining pregnancy episodes and delivery dates and address data inconsistencies. Quality improvement activities targeted postpartum care delivery tailored to patients and care teams. Data limitations, including inconsistencies in electronic health record documentation and data extraction practices, underscored the complexity of integrating HIT solutions into postpartum care workflows. Despite challenges, the project demonstrated continuous quality improvement to support data quality for perinatal care measures. Future solutions emphasize the need for standardized data elements, collaborative care team engagement, and iterative HIT implementation strategies to enhance perinatal care quality. Our findings highlight the potential of HIT-driven interventions to improve postpartum care within health centers, with a focus on the importance of addressing data interoperability and documentation challenges to optimize and monitor initiatives to improve postpartum health outcomes.

Improving Athletic Trainers' Knowledge of Clinical Documentation Through Novel Educational Interventions: A Randomized Controlled Trial.

Athletic trainers (ATs) have reported the need for more educational resources about clinical documentation. To investigate the effectiveness of passive and active educational interventions to improve practicing ATs' clinical documentation knowledge. Randomized controlled trial, sequential explanatory mixed methods study. Online module(s), knowledge assessment, and interviews. We emailed 18 981 practicing ATs across employment settings, of which 524 ATs were enrolled into a group (personalized learning pathway [PLP = 178], passive reading list [PAS = 176], control [CON = 170]) then took the knowledge assessment. A total of 364 ATs did not complete the intervention or postknowledge assessment; therefore, complete responses from 160 ATs (PLP = 39, PAS = 44, CON = 77; age = 36.6 ± 11.2 years, years certified = 13.9 ± 10.7) were analyzed. Knowledge assessment (34 items) and interview guides (12-13 items) were developed, validated, and piloted with ATs before study commencement. We summed correct responses (1 point each, 34 points maximum) and calculated percentages and preknowledge and postknowledge mean change scores. Differences among groups (PLP, PAS, CON) and time (preintervention, postintervention) were calculated using a 3 × 2 repeated-measures analysis of variance (P ≤ .05) with post hoc Tukey HSD. Semistructured interviews were conducted (PLP = 15, PAS = 14), recorded, transcribed, and analyzed following the consensual qualitative research tradition. No differences in the preknowledge assessment were observed between groups. We observed a group × time interaction (F2,157 = 15.30, P < .001; partial η2 = 0.16). The PLP group exhibited greater mean change (M = 3.0 ± 2.7) than the PAS (M = 1.7 ± 3.0, P = .049) and CON (M = 0.4 ± 2.2, P < .001) groups. Descriptively, ATs scored lowest on the legal (61.3% ± 2.1%), value of the AT (63.7% ± 4.3%), and health information technology (65.3% ± 3.7%) items. Whereas ATs described being confident in their documentation knowledge, they also identified key content (eg, legal considerations, strategies) which they deemed valuable. The educational interventions improved ATs' knowledge of clinical documentation and provided valuable resources for their clinical practice; however, targeted continuing education is needed to address knowledge gaps.

Patient- and Provider-Level Factors Associated with Patient Portal Usage Among Medicaid Recipients.

Background: Patient portals can improve access to electronic health information and enhance patient engagement. However, disparities in patient portal utilization remain, affecting disadvantaged communities disproportionately. This study examined patient- and provider-level factors associated with portal usage among Medicaid recipients in a large federally qualified health center (FQHC) network in Texas. Methods: Deidentified electronic medical records of patients 18 years or older from a large Texas FQHC network were analyzed. The dependent variable was a binary flag indicating portal usage during the study period. Independent variables included patient- and provider-level factors. Patient-level factors included sociodemographic, geographic, and clinical characteristics. Provider characteristics included primary service line, provider type, provider language, and years in practice. Because the analysis was at the individual level, a multivariable logistic regression model focused on adjusted associations between independent variables and portal usage. Results: The analytic sample consisted of 9,271 individuals. Compared with individuals 18-39 years, patients 50 years and older had lower odds (50-64 OR: 0.60, p < 0.001; 65+ OR: 0.51, p < 0.001) of portal usage. Males were less likely to use portals (OR: 0.44, p = 0.03), and compared to Non-Hispanic Whites, Non-Hispanic Black (OR: 0.86, p = 0.02) and Hispanics (OR: 0.83, p < 0.001) were significantly less likely to use portals. Individuals with 1 or more telemedicine consults had a two-times greater odds of portal usage (OR: 1.97, p < 0.001). Compared to individuals who had clinic visits in December 2018, portal usage was significantly higher in the pandemic months (March 2020-November 2020, all p's < 0.01). Importantly, the behavioral health service line had the greatest odds (OR: 1.52, p < 0.001), whereas the dental service line had the lowest odds (OR: 0.69, p = 0.01) compared to family practice. No other provider characteristics were significant. Conclusion: Our finding of significant patient-level factors is important and can contribute to developing appropriate patient-focused health information technology approaches to ensure equitable access and maximize the potential benefits of patient portals in health care delivery.

Longitudinal study links health information technology implementation to improved financial performance in nursing homes

Longitudinal study links health information technology implementation to improved financial performance in nursing homes

User Interface Design and Usability Evaluation of a Mental Health Mobile Application for Healthcare Workers: A Nursing Informatics Perspective

Objectives: The critical need for accessible mental health support for healthcare workers during pandemics underscores the importance of tailored interventions. This study aimed to derive user interface (UI) design elements and evaluate the usability of a mobile mental health application specifically crafted for healthcare professionals, focusing on nursing informatics.Methods: The mental healing app (mHealing app) interfaces were developed, emphasizing UI design elements derived from user requirements and guided by principles of nursing informatics. Usability was assessed using the Health Information Technology Usability Evaluation Scale (Health-ITUES).Results: Six nurses, including one specializing in nursing informatics, participated in both UI design derivation and usability pilot test, providing valuable insights from a nursing informatics perspective. The mHealing app offers personalized content delivery and facilitates connections to counselors based on users’ mental health states, supported by a self-diagnosis tool. The UI design prioritizes user-centered features and intuitive navigation, addressing healthcare workers’ unique challenges during pandemics. In the usability pilot test, the app scored high in impact, perceived usefulness, and ease of use, according to Health-ITUES.Conclusions: The mHealing app, developed with a focus on UI design elements informed by nursing informatics principles, effectively addresses the mental health care needs of healthcare workers during pandemics, particularly COVID-19. Engaging six nurses in usability pilot test, including one specializing in nursing informatics, the app demonstrates a user-centered approach and intuitive UI, promising a meaningful impact in clinical settings.

Optimizing Response Rates to Examine Health IT Maturity and Nurse Practitioner Care Environments in US Nursing Homes: Mixed Mode Survey Recruitment Protocol.

Survey-driven research is a reliable method for large-scale data collection. Investigators incorporating mixed-mode survey designs report benefits for survey research including greater engagement, improved survey access, and higher response rate. Mix-mode survey designs combine 2 or more modes for data collection including web, phone, face-to-face, and mail. Types of mixed-mode survey designs include simultaneous (ie, concurrent), sequential, delayed concurrent, and adaptive. This paper describes a research protocol using mixed-mode survey designs to explore health IT (HIT) maturity and care environments reported by administrators and nurse practitioners (NPs), respectively, in US nursing homes (NHs). The aim of this study is to describe a research protocol using mixed-mode survey designs in research using 2 survey tools to explore HIT maturity and NP care environments in US NHs. We are conducting a national survey of 1400 NH administrators and NPs. Two data sets (ie, Care Compare and IQVIA) were used to identify eligible facilities at random. The protocol incorporates 2 surveys to explore how HIT maturity (survey 1 collected by administrators) impacts care environments where NPs work (survey 2 collected by NPs). Higher HIT maturity collected by administrators indicates greater IT capabilities, use, and integration in resident care, clinical support, and administrative activities. The NP care environment survey measures relationships, independent practice, resource availability, and visibility. The research team conducted 3 iterative focus groups, including 14 clinicians (NP and NH experts) and recruiters from 2 national survey teams experienced with these populations to achieve consensus on which mixed-mode designs to use. During focus groups we identified the pros and cons of using mixed-mode designs in these settings. We determined that 2 mixed-mode designs with regular follow-up calls (Delayed Concurrent Mode and Sequential Mode) is effective for recruiting NH administrators while a concurrent mixed-mode design is best to recruit NPs. Participant recruitment for the project began in June 2023. As of April 22, 2024, a total of 98 HIT maturity surveys and 81 NP surveys have been returned. Recruitment of NH administrators and NPs is anticipated through July 2025. About 71% of the HIT maturity surveys have been submitted using the electronic link and 23% were submitted after a QR code was sent to the administrator. Approximately 95% of the NP surveys were returned with electronic survey links. Pros of mixed-mode designs for NH research identified by the team were that delayed concurrent, concurrent, and sequential mixed-mode methods of delivering surveys to potential participants save on recruitment time compared to single mode delivery methods. One disadvantage of single-mode strategies is decreased versatility and adaptability to different organizational capabilities (eg, access to email and firewalls), which could reduce response rates. DERR1-10.2196/56170.