Capturing the pulse: a state-of-the-art review on camera-based jugular vein assessment

Heart failure is associated with a rehospitalisation rate of up to 50% within six months. Elevated central venous pressure may serve as an early warning sign. While invasive procedures are used to measure central venous pressure for guiding treatment in hospital, this becomes impractical upon discharge. A non-invasive estimation technique exists, where the clinician visually inspects the pulsation of the jugular veins in the neck, but it is less reliable due to human limitations. Video and signal processing technologies may offer a high-fidelity alternative. This state-of-the-art review analyses existing literature on camera-based methods for jugular vein assessment. We summarize key design considerations and suggest avenues for future research. Our review highlights the neck as a rich imaging target beyond the jugular veins, capturing comprehensive cardiac signals, and outlines factors affecting signal quality and measurement accuracy. Addressing an often quoted limitation in the field, we also propose minimum reporting standards for future studies.

The implementation of an integrated e-leprosy framework in a leprosy control program at primary health care centers in Indonesia

BACKGROUND AND OBJECTIVE

The implementation of health information systems (HIS) could overcome obstacles in human resources and infrastructure at primary health care centers (PHCs). This study involved an e-Leprosy framework being integrated into the real setting of a leprosy control program in Indonesia. The objectives of this implementation study were to integrate e-Leprosy into a leprosy control program at 27 PHCs in Pekalongan District. Central Java Province, Indonesia to explore factors related the success or failure of such an implementation regarding the usability, involvement, and acceptance of e-Leprosy by PHC staff and to evaluate the effect of the implementation on leprosy patient attendance at PHCs. This paper is based on the Standards for Reporting Implementation Studies (StaRI) statement.

METHOD

This study used mixed methods implementation research with longitudinal analysis and involved two groups of participants: Leprosy Surveillance Officers (LSOs), patients, and the relatives of patients. This study involved four phases consisting of preparation, baseline assessment, intervention, and evaluation. The qualitative study conducted focus group discussions and in-depth interviews. The e-Leprosy program automatically sent SMS reminders regarding leprosy treatment to the LSOs, patients, and patients' relatives every month.

FINDINGS

This study determined that LSO had difficulties related to their workloads in PHCs while managing information and monitoring treatment and contact after release from treatment. The baseline assessment phase found that LSOs in Pekalongan District were unfamiliar with email but familiar using the internet. Overall, LSOs had a positive perception of the e-Leprosy program. The usability of this e-Leprosy program tended to increase over time, while acceptance of the e-Leprosy exhibited a significant relationship with computer and internet fluency (r = 0.48, p < 0.05) and age (r = 0.621, p < 0.01). The responsible patients correlated (r = 0.67, p < 0.01) with involvement in the e-Leprosy program. This study revealed that patient reminders increased on-time attendance by 13.9 % (p < 0.01 with OR = 2.41).

CONCLUSION

Factors that should be considered during implementation HIS included the digital gap, PHC's staff workload, as well as the level of commitment and leadership in the health office.

Evaluation of computerized provider order entry systems: assessing the usability of systems for electronic prescription

BACKGROUND

The field of medicine has been influenced by the growth and development of information systems such as the Computerized Provider Order Entry (CPOE) System.

OBJECTIVE

This study aimed to evaluate the usability of CPOE systems for electronic prescription in Tehran, Iran.

METHODS

This was an evaluation study conducted in 2017. The research population consisted of the CPOE systems used in hospitals of Tehran (Iran) and nurses who had access to, and used, the CPOE systems. Five hospitals with CPOE systems were included in the research sample. The data were collected using a questionnaire, and included a total of 50 questions. The questionnaires were distributed among 254 nurses who were the users of the systems. Data analysis was performed by IBM-SPSS version 21, using independent-samples t-test. A p-value of ≤0.05 was considered statistically significant.

RESULTS

Among the four aspects assessed, the "user-friendliness" (3.87±0.59) had the highest mean score. The lowest mean score (2.01±0.58) was related to the "decision support" feature of the systems. The highest and lowest mean scores for "prescription support" criterion belonged to system E (3.26±0.23) and system C (1.90±0.16), respectively. There was a statistically significant difference between the usability of the systems used in the private and the public hospitals (p<0.001). It was found that the CPOE systems in private hospitals had a higher level of usability (3.42+0.10) compared to those in public hospitals (2.91+0.25).

CONCLUSION

Two main functions of the studied CPOE systems i.e., decision support and prescription support should be developed to make electronic prescription safer and more intuitive. Addressing usability aspects of CPOE systems in practice could improve the usability of these systems for prescription.

Improving Evaluation to Address the Unintended Consequences of Health Information Technology:. a Position Paper from the Working Group on Technology Assessment & Quality Development

BACKGROUND AND OBJECTIVES

With growing use of IT by healthcare professionals and patients, the opportunity for any unintended effects of technology to disrupt care health processes and outcomes is intensified. The objectives of this position paper by the IMIA Working Group (WG) on Technology Assessment and Quality Development are to highlight how our ongoing initiatives to enhance evaluation are also addressing the unintended consequences of health IT.

METHODS

Review of WG initiatives Results: We argue that an evidence-based approach underpinned by rigorous evaluation is fundamental to the safe and effective use of IT, and for detecting and addressing its unintended consequences in a timely manner. We provide an overview of our ongoing initiatives to strengthen study design, execution and reporting by using evaluation frameworks and guidelines which can enable better characterization and monitoring of unintended consequences, including the Good Evaluation Practice Guideline in Health Informatics (GEP-HI) and the Statement on Reporting of Evaluation Studies in Health Informatics (STARE-HI). Indicators to benchmark the adoption and impact of IT can similarly be used to monitor unintended effects on healthcare structures, processes and outcome. We have also developed EvalDB, a web-based database of evaluation studies to promulgate evidence about unintended effects and are developing the content for courses to improve training in health IT evaluation.

CONCLUSION

Evaluation is an essential ingredient for the effective use of IT to improve healthcare quality and patient safety. WG resources and skills development initiatives can facilitate a proactive and evidence-based approach to detecting and addressing the unintended effects of health IT.

Smart homes and home health monitoring technologies for older adults: A systematic review

BACKGROUND

Around the world, populations are aging and there is a growing concern about ways that older adults can maintain their health and well-being while living in their homes.

OBJECTIVES

The aim of this paper was to conduct a systematic literature review to determine: (1) the levels of technology readiness among older adults and, (2) evidence for smart homes and home-based health-monitoring technologies that support aging in place for older adults who have complex needs.

RESULTS

We identified and analyzed 48 of 1863 relevant papers. Our analyses found that: (1) technology-readiness level for smart homes and home health monitoring technologies is low; (2) the highest level of evidence is 1b (i.e., one randomized controlled trial with a PEDro score ≥6); smart homes and home health monitoring technologies are used to monitor activities of daily living, cognitive decline and mental health, and heart conditions in older adults with complex needs; (3) there is no evidence that smart homes and home health monitoring technologies help address disability prediction and health-related quality of life, or fall prevention; and (4) there is conflicting evidence that smart homes and home health monitoring technologies help address chronic obstructive pulmonary disease.

CONCLUSIONS

The level of technology readiness for smart homes and home health monitoring technologies is still low. The highest level of evidence found was in a study that supported home health technologies for use in monitoring activities of daily living, cognitive decline, mental health, and heart conditions in older adults with complex needs.

From bed to bench: bridging from informatics practice to theory: an exploratory analysis

BACKGROUND

In 2009, Applied Clinical Informatics (ACI)--focused on applications in clinical informatics--was launched as a companion journal to Methods of Information in Medicine (MIM). Both journals are official journals of the International Medical Informatics Association.

OBJECTIVES

To explore which congruencies and interdependencies exist in publications from theory to practice and from practice to theory and to determine existing gaps. Major topics discussed in ACI and MIM were analyzed. We explored if the intention of publishing companion journals to provide an information bridge from informatics theory to informatics practice and vice versa could be supported by this model. In this manuscript we will report on congruencies and interdependences from practice to theory and on major topics in MIM.

METHODS

Retrospective, prolective observational study on recent publications of ACI and MIM. All publications of the years 2012 and 2013 were indexed and analyzed.

RESULTS

Hundred and ninety-six publications were analyzed (ACI 87, MIM 109). In MIM publications, modelling aspects as well as methodological and evaluation approaches for the analysis of data, information, and knowledge in biomedicine and health care were frequently raised - and often discussed from an interdisciplinary point of view. Important themes were ambient-assisted living, anatomic spatial relations, biomedical informatics as scientific discipline, boosting, coding, computerized physician order entry, data analysis, grid and cloud computing, health care systems and services, health-enabling technologies, health information search, health information systems, imaging, knowledge-based decision support, patient records, signal analysis, and web science. Congruencies between journals could be found in themes, but with a different focus on content. Interdependencies from practice to theory, found in these publications, were only limited.

CONCLUSIONS

Bridging from informatics theory to practice and vice versa remains a major component of successful research and practice as well as a major challenge.

Sensor-based detection of gait speed in older adults: an integrative review

Gait speed is an indicator of functional change in older adults. One approach to support older adults' preferences to "age in place" is through the use of technology to monitor gait speed in everyday life. The authors of the current article conducted an integrative review of the scientific literature to summarize the current state of gait speed detection technologies. A total of 539 articles were returned from searches, and 16 were included in the review. Technologies were categorized as body-worn or home-installed sensors. Evidence was classified as emerging (n = 8) or promising (n = 8). Gait speed technology research has advanced beyond the use of customized research hardware prototypes, and consumer technologies are now commonly used in gait speed research. However, a need exists for software systems that integrate data for analysis and presentation to stakeholders with different information needs. Future research should focus on approaches to integrate disparate data sources and visualizations of gait speed data.

Fall detection devices and their use with older adults: a systematic review

BACKGROUND

Falls represent a significant threat to the health and independence of adults aged 65 years and older. As a wide variety and large number of passive monitoring systems are currently and increasingly available to detect when individuals have fallen, there is a need to analyze and synthesize the evidence regarding their ability to accurately detect falls to determine which systems are most effective.

OBJECTIVES

The purpose of this literature review is to systematically assess the current state of design and implementation of fall-detection devices. This review also examines to what extent these devices have been tested in the real world as well as the acceptability of these devices to older adults.

DATA SOURCES

A systematic literature review was conducted in PubMed, CINAHL, EMBASE, and PsycINFO from their respective inception dates to June 25, 2013.

STUDY ELIGIBILITY CRITERIA AND INTERVENTIONS

Articles were included if they discussed a project or multiple projects involving a system with the purpose of detecting a fall in adults. It was not a requirement for inclusion in this review that the system targets persons older than 65 years. Articles were excluded if they were not written in English or if they looked at fall risk, fall detection in children, fall prevention, or a personal emergency response device.

STUDY APPRAISAL AND SYNTHESIS METHODS

Studies were initially divided into those using sensitivity, specificity, or accuracy in their evaluation methods and those using other methods to evaluate their devices. Studies were further classified into wearable devices and nonwearable devices. Studies were appraised for inclusion of older adults in sample and if evaluation included real-world settings.

RESULTS

This review identified 57 projects that used wearable systems and 35 projects using nonwearable systems, regardless of evaluation technique. Nonwearable systems included cameras, motion sensors, microphones, and floor sensors. Of the projects examining wearable systems, only 7.1% reported monitoring older adults in a real-world setting. There were no studies of nonwearable devices that used older adults as subjects in either a laboratory or a real-world setting. In general, older adults appear to be interested in using such devices although they express concerns over privacy and understanding exactly what the device is doing at specific times.

LIMITATIONS

This systematic review was limited to articles written in English and did not include gray literature. Manual paper screening and review processes may have been subject to interpretive bias.

CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS

There exists a large body of work describing various fall-detection devices. The challenge in this area is to create highly accurate unobtrusive devices. From this review it appears that the technology is becoming more able to accomplish such a task. There is a need now for more real-world tests as well as standardization of the evaluation of these devices.

Framing the evidence for health smart homes and home-based consumer health technologies as a public health intervention for independent aging: a systematic review

INTRODUCTION

There is a critical need for public health interventions to support the independence of older adults as the world's population ages. Health smart homes (HSH) and home-based consumer health (HCH) technologies may play a role in these interventions.

METHODS

We conducted a systematic review of HSH and HCH literature from indexed repositories for health care and technology disciplines (e.g., MEDLINE, CINAHL, and IEEE Xplore) and classified included studies according to an evidence-based public health (EBPH) typology.

RESULTS

One thousand, six hundred and thirty-nine candidate articles were identified. Thirty-one studies from the years 1998-2011 were included. Twenty-one included studies were classified as emerging, 10 as promising and 3 as effective (first tier).

CONCLUSION

The majority of included studies were published in the period beginning in the year 2005. All 3 effective (first tier) studies and 9 of 10 of promising studies were published during this period. Almost all studies included an activity sensing component and most of them used passive infrared motion sensors. The three effective (first tier) studies all used a multicomponent technology approach that included activity sensing, reminders and other technologies tailored to individual preferences. Future research should explore the use of technology for self-management of health by older adults; social support; and self-reported health measures incorporated into personal health records, electronic medical records, and community health registries.