Lighting the Patient Room of the Future: Evaluating Different Lighting Conditions for Performing Typical Nursing Tasks

An Explorative Investigation of the Effect of Naturalistic Light on Agitation-Associated Behavior in Nursing Home Residents With Dementia: A Pilot Study

Aim:

To study the effect of naturalistic light, programmed to replicate the spectrum distribution of natural light from dusk to dawn, on agitation measured with a Cohen-Mansfield Agitation Inventory–inspired score of nursing home residents with dementia.

Background:

Though the effects of different types of light on the sleep-wake patterns of senior adults and people with dementia have been examined in several studies, the effects of naturalistic light systems, as a possible nonpharmacological intervention to improve sleep and reduce agitation, have yet to be extensively evaluated due to the relative novelty of the technology.

Methods:

The study was designed as a 6-month pilot study of a prospective interventional longitudinal cohort study, with five participants recruited from a single department of a Danish nursing home. The effect of naturalistic lighting on agitation-associated behaviors was recorded over a 3-day period pre- and postintervention. Results: An overall 71.2% reduction in the frequency of agitation-associated behaviors was recorded, with the frequency of some behaviors even reduced by 100%.

Conclusions:

This pilot study estimates that naturalistic lighting may be a promising nonpharmacological intervention to improve the overall agitation of nursing home residents with dementia, with a possible added benefit of an improved work environment for the staff. This study, therefore, finds indication for the performance of a randomized controlled trial with the same intervention and a larger cohort.

A Review of Physical and Digital Mock-Up Applications in Healthcare Building Development

Mock-up simulation is a design or human factor research method to help designers identify key design issues and factors of a product or environment. This paper discusses physical mock-up (PMU) and digital mock-up (DMU) applications in healthcare building development through a narrative literature review. The following questions are addressed in this paper: what would the purposes of using PMU or DMU simulations be? At which phase of a hospital design would a PMU or DMU simulation be used? What methods can be used to conduct PMU and DMU simulations? The paper discusses the advantages and disadvantages of these two mock-up methods and highlights the importance of clinical staff’s involvement in mock-up simulations. It gives recommendations for the design practitioners or project managers of healthcare building development recommendations to implement these two mock-up methods in healthcare building development projects.

An Edge Computing and Ambient Data Capture System for Clinical and Home Environments

The non-contact patient monitoring paradigm moves patient care into their homes and enables long-term patient studies. The challenge, however, is to make the system non-intrusive, privacy-preserving, and low-cost. To this end, we describe an open-source edge computing and ambient data capture system, developed using low-cost and readily available hardware. We describe five applications of our ambient data capture system. Namely: (1) Estimating occupancy and human activity phenotyping; (2) Medical equipment alarm classification; (3) Geolocation of humans in a built environment; (4) Ambient light logging; and (5) Ambient temperature and humidity logging. We obtained an accuracy of 94% for estimating occupancy from video. We stress-tested the alarm note classification in the absence and presence of speech and obtained micro averaged F1 scores of 0.98 and 0.93, respectively. The geolocation tracking provided a room-level accuracy of 98.7%. The root mean square error in the temperature sensor validation task was 0.3°C and for the humidity sensor, it was 1% Relative Humidity. The low-cost edge computing system presented here demonstrated the ability to capture and analyze a wide range of activities in a privacy-preserving manner in clinical and home environments and is able to provide key insights into the healthcare practices and patient behaviors.

Lighting the Patient Room of the Future: Evaluating Different Lighting Conditions From the Patient Perspective

OBJECTIVE

This study explores whether "future" lighting systems that provide greater control and opportunity for circadian synchronization are acceptable to participants in the role of patients.

BACKGROUND

Tunable, dimmable light emitting diode systems provide multiple potential benefits for healthcare. They can provide significant energy savings, support circadian synchronization by varying the spectrum and intensity of light over the course of the day, address nighttime navigation needs, and provide user-friendly control. There is an emerging understanding of the important visual and nonvisual effects of light; however, important questions remain about the experience and acceptability of this "future" lighting if we are to adopt it broadly.

METHODS

Volunteer participants (34) performed a series of tasks typical of patients, such as reading or watching a video, in a full-scale simulated inpatient room. Each participant conducted these tasks under 12 lighting conditions in a counterbalanced order that included varying illuminance levels, correlated color temperatures (CCTs), and in a few conditions, saturated colors. The participants rated each lighting condition on comfort, intensity, appropriateness, and naturalness.

RESULTS AND CONCLUSIONS

The participants found that conditions with CCTs of 5,000 K and higher were significantly less comfortable and less natural than conditions with lower CCTs. Conditions with lighting distributed in multiple zones in the patient room were viewed more favorably than a traditional overbed configuration. The participants in this simulated patient study reacted negatively to colored lighting on the footwall of the room but found a mixture of warmer and cooler luminaire CCTs acceptable.