The biopsychosociotechnical model: a systems-based framework for human-centered health improvement

The biopsychosocial model is among the most influential frameworks for human-centered health improvement but has faced significant criticism- both conceptual and pragmatic. This paper extends and fundamentally re-structures the biopsychosocial model by combining it with sociotechnical systems theory. The resulting biopsychosociotechnical model addresses key critiques of the biopsychosocial model, providing a more "practical theory" for human-centered health improvement. It depicts the determinants of health as complex adaptive system of systems; includes the the artificial world (technology); and provides a roadmap for systems improvement by: differentiating between "health status" and "health and needs assessment", [promoting problem framing]; explaining health as an emergent property of the biopsychosociotechnical context [imposing a systems orientation]; focusing on "interventions" vs. "treatments" to modify the biopsychosociotechnical determinants of health, [expanding the solution space]; calling for a participatory design process [supporting systems awareness and goal-orientation]; and including intervention management to support the full lifecycle of health improvement.

Modeling and analyzing hospital to home transition processes of frail older adults using the functional resonance analysis method (FRAM)

The main purpose of this study was to model and analyze hospital to home transition processes of frail older adults in order to identify the challenges within this process. A multi-phase, multi-sited and mixed methods design was utilized, in which, Phase 1 included collecting semi-structured interviews and focus group data, and Phase 2 consisted of six patient/caregiver dyad prospective case studies. This study was conducted in three hospitals in three cities in a single province in Canada. The Functional Resonance Analysis Method (FRAM) was employed to model daily operations of the transition process. The perspectives of both healthcare providers and patients/caregivers were used to build the FRAM model. The transition model was then tested using a customized version of the FRAM. The six patient/caregiver cases were used in the process of testing the FRAM model. The results of building the FRAM model showed that five categories of functions contributed to the transition model, including admission, assessment, synthesis, decision-making, and readmission. The outcomes of using the customized version of the FRAM revealed challenges affecting the transition process including waitlists for geriatric units, team-based care, lack of a discharge planner, financial concerns, and follow-up plans. The findings of this study could assist managers and other decision makers to improve the transition processes of frail older adults by addressing these challenges. The FRAM method employed in this study can be applied widely to identify work practices that are more or less successful, so that procedures and practices can be adapted to nudge healthcare processes towards paths that will yield better outcomes.

A Simplified System Usability Scale (SUS) for Cognitively Impaired and Older Adults

We present the 10-item Simplified System Usability Scale (SUS) for Cognitively Impaired and Older Adults, which we have used in several studies since 2016. The Simplified SUS is a revised version of the SUS, a brief, psychometrically valid, and widely used global measure of usability. To improve the ease of administration, the Simplified SUS rewords 9 of 10 SUS items and replaces the original SUS question about inconsistency with a question about confusion. The Simplified SUS retains the SUS's 10-item design, five-item agreement-based Likert scale, and alternating valence of positively worded odd items and negatively worded even items. Because of this, the Simplified SUS can be interpreted the same way as the traditional SUS. The Simplified SUS is an example of an off-the-shelf human factors method adapted for work with vulnerable populations and usable by practitioners or researchers without human factors training.

mHealth education interventions in heart failure

BACKGROUND

Heart failure (HF) is a chronic disease with significant impact on quality of life and presents many challenges to those diagnosed with the condition, due to a seemingly complex daily regimen of self-care which includes medications, monitoring of weight and symptoms, identification of signs of deterioration and follow-up and interaction with multiple healthcare services. Education is vital for understanding the importance of this regimen, and adhering to it. Traditionally, education has been provided to people with heart failure in a face-to-face manner, either in a community or a hospital setting, using paper-based materials or video/DVD presentations. In an age of rapidly-evolving technology and uptake of smartphones and tablet devices, mHealth-based technology (defined by the World Health Organization as mobile and wireless technologies to achieve health objectives) is an innovative way to provide health education which has the benefit of being able to reach people who are unable or unwilling to access traditional heart failure education programmes and services.

OBJECTIVES

To systematically review and quantify the potential benefits and harms of mHealth-delivered education for people with heart failure.

SEARCH METHODS

We performed an extensive search of bibliographic databases and registries (CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (ICTRP) Search Portal), using terms to identify HF, education and mHealth. We searched all databases from their inception to October 2019 and imposed no restriction on language of publication.

SELECTION CRITERIA

We included studies if they were conducted as a randomised controlled trial (RCT), involving adults (≥ 18 years) with a diagnosis of HF. We included trials comparing mHealth-delivered education such as internet and web-based education programmes for use on smartphones and tablets (including apps) and other mobile devices, SMS messages and social media-delivered education programmes, versus usual HF care.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies, assessed risks of bias, and extracted data from all included studies. We calculated the mean difference (MD) or standardised mean difference (SMD) for continuous data and the odds ratio (OR) for dichotomous data with a 95% confidence interval (CI). We assessed heterogeneity using the I2 statistic and assessed the quality of evidence using GRADE criteria.

MAIN RESULTS

We include five RCTs (971 participants) of mHealth-delivered education interventions for people with HF in this review. The number of trial participants ranged from 28 to 512 participants. Mean age of participants ranged from 60 years to 75 years, and 63% of participants across the studies were men. Studies originated from Australia, China, Iran, Sweden, and The Netherlands. Most studies included participants with symptomatic HF, NYHA Class II - III. Three studies addressed HF knowledge, revealing that the use of mHealth-delivered education programmes showed no evidence of a difference in HF knowledge compared to usual care (MD 0.10, 95% CI -0.2 to 0.40, P = 0.51, I2 = 0%; 3 studies, 411 participants; low-quality evidence). One study assessing self-efficacy reported that both study groups had high levels of self-efficacy at baseline and uncertainty in the evidence for the intervention (MD 0.60, 95% CI -0.57 to 1.77; P = 0.31; 1 study, 29 participants; very low-quality evidence).Three studies evaluated HF self-care using different scales. We did not pool the studies due to the heterogenous nature of the outcome measures, and the evidence is uncertain. None of the studies reported adverse events. Four studies examined health-related quality of life (HRQoL). There was uncertainty in the evidence for the use of mHealth-delivered education on HRQoL (MD -0.10, 95% CI -2.35 to 2.15; P = 0.93, I2 = 61%; 4 studies, 942 participants; very low-quality evidence). Three studies reported on HF-related hospitalisation. The use of mHealth-delivered education may result in little to no difference in HF-related hospitalisation (OR 0.74, 95% CI 0.52 to 1.06; P = 0.10, I2 = 0%; 3 studies, 894 participants; low-quality evidence). We downgraded the quality of the studies due to limitations in study design and execution, heterogeneity, wide confidence intervals and fewer than 500 participants in the analysis.

AUTHORS' CONCLUSIONS

We found that the use of mHealth-delivered educational interventions for people with HF shows no evidence of a difference in HF knowledge; uncertainty in the evidence for self-efficacy, self-care and health-related quality of life; and may result in little to no difference in HF-related hospitalisations. The identification of studies currently underway and those awaiting classification indicate that this is an area of research from which further evidence will emerge in the short and longer term.

A bit about me: Bedside boards to create a culture of patient-centered care in pediatric intensive care units (PICUs)

INTRODUCTION

This project assessed whether the introduction of personalized bedside boards containing nonmedical information about patients in a pediatric intensive care unit (PICU) help provide health care professionals (HCPs) better insight about each child's personal qualities and preferences and thereby help improve patient-centered care and patient safety.

METHODS

Staff and parents of children in a PICU unit completed a questionnaire assessing how well HCPs knew their patients and their design preferences for the board. The questionnaire was completed before and after board introduction, and patient involvement was central to the design of the board.

RESULTS

There was an improvement in all parameters assessed. Significant improvements include the perception of PICU as a welcoming environment, nurses' understanding about what comforts their patients, and doctors' ability to recognize their patients outside the hospital. Doctors and nurses felt they knew their patients better. Parents' views regarding whether HCPs know what comforts their child and would recognize them outside the hospital also improved. Feedback about board aesthetics and usefulness was positive.

CONCLUSION

Personalized bedside boards significantly improved how well HCPs knew their patients across various elements. Patient-centered care and, in turn, patient safety in PICUs can be promoted by using personalized bedside boards containing nonmedical information to help HCPs understand their patients' individual needs and tailor their treatment.

Patient ergonomics: 10-year mapping review of patient-centered human factors

Patient ergonomics is the application of human factors or related disciplines to study and improve patients' and other non-professionals' performance of effortful work activities in pursuit of health goals. We performed a mapping review of 212 full-text patient ergonomics publications in two conference proceedings, 2007-2017. The review revealed a robust and growing body of literature on patient ergonomics, particularly in the areas of aging and chronic disease, tools and technologies, and evaluations of patient-centered interventions on outcomes such as usability, user acceptance, and performance. Findings highlighted gaps deserving future research, including research with understudied populations such as children, informal caregivers, networks and collectives (groups), and marginalized populations; on topics such as health promotion and transitions of care; and using longitudinal and experimental study designs. The growth of patient-centeredness in general and of patient ergonomics in particular compel other more focused reviews, new primary research, and developing a roadmap for future patient ergonomics research.

2019 Town Hall on Human Factors and Ergonomics for Patient Work

The 2019 Town Hall gathers stakeholders in the human factors and ergonomics (HFE) community who share an interest in applying HFE to study and improve patient work, an area called “patient ergonomics.” The objective of this town hall is to communally scope, prioritize, and develop applications of HFE for patient work. Whereas the 2018 Town Hall was primarily an initial community gathering, the 2019 Town Hall is envisioned as a space for further developing a community of practice in this area. The central activity of the 2019 Town Hall is a public commentary period, with live scribing, inviting attendees to address the (1) scope of patient ergonomics; (2) prioritization of future efforts; and (3) proposals to lead future development efforts.

Town Hall on Patient-Centered Human Factors and Ergonomics

A central paradigm in the current era of health and healthcare is the centrality of patients, families, and community members in their own health. Patients and other nonprofessionals are increasingly recognized as working independently or in concert with healthcare professionals in an effort to achieve health-related goals. This patient work has been the topic of much recent research in an area of human factors and ergonomics (HFE) we call patient-centered HFE. The town hall on patient-centered HFE draws on the community of healthcare HFE researchers and practitioners to communicate and document the scope of existing work, identify future opportunities, and develop recommendations for future work in this area. The town hall primarily consists of an open floor session with a 40-minute comment period and 40-minute generative exercise to discuss and plan with one another future work in patient-centered HFE.

Medication management strategies used by older adults with heart failure: A systems-based analysis

BACKGROUND

Older adults with heart failure use strategies to cope with the constraining barriers impeding medication management. Strategies are behavioral adaptations that allow goal achievement despite these constraining conditions. When strategies do not exist, are ineffective or maladaptive, medication performance and health outcomes are at risk. While constraints to medication adherence are described in literature, strategies used by patients to manage medications are less well-described or understood.

AIM

Guided by cognitive engineering concepts, the aim of this study was to describe and analyze the strategies used by older adults with heart failure to achieve their medication management goals.

METHODS

This mixed methods study employed an empirical strategies analysis method to elicit medication management strategies used by older adults with heart failure. Observation and interview data collected from 61 older adults with heart failure and 31 caregivers were analyzed using qualitative content analysis to derive categories, patterns and themes within and across cases.

RESULTS

Data derived thematic sub-categories described planned and ad hoc methods of strategic adaptations. Stable strategies proactively adjusted the medication management process, environment, or the patients themselves. Patients applied situational strategies (planned or ad hoc) to irregular or unexpected situations. Medication non-adherence was a strategy employed when life goals conflicted with medication adherence. The health system was a source of constraints without providing commensurate strategies.

CONCLUSIONS

Patients strived to control their medication system and achieve goals using adaptive strategies. Future patient self-mangement research can benefit from methods and theories used to study professional work, such as strategies analysis.

Macroergonomic factors in the patient work system: examining the context of patients with chronic illness

Human factors/ergonomics recognises work as embedded in and shaped by levels of social, physical and organisational context. This study investigates the contextual or macroergonomic factors present in the health-related work performed by patients. We performed a secondary content analysis of findings from three studies of the work of chronically ill patients and their informal caregivers. Our resulting consolidated macroergonomic patient work system model identified 17 factors across physical, social and organisational domains and household and community levels. These factors are illustrated with examples from the three studies and discussed as having positive, negative or varying effects on health and health behaviour. We present three brief case studies to illustrate how macroergonomic factors combine across domains and levels to shape performance in expected and unexpected ways. Findings demonstrate not only the importance of context for patients' health-related activities but also specific factors to consider in future research, design and policy efforts. Practitioner Summary: Health-related activities of patients are embedded in and shaped by levels of social, physical and organisational context. This paper combined findings from three studies to specify 17 contextual or macroergonomic factors in home- and community-based work systems of chronically ill patients. These factors have research, design and policy implications.

Patient Work as a Maturing Approach Within HF/E

Over the last five years, human factors and ergonomics (HF/E) applications in healthcare have expanded beyond the institution to encompass the homes and communities of patients. The patient work approach has been developed as a means of formalizing the theoretical and methodological foundations of applying HF/E within this new domain. Early applications of the patient work approach were confined to studies of relatively straightforward self-management tasks. As the patient work approach matures, however, its application is spreading to more complex subdomains of health management in home and community settings. This panel will focus on cutting edge application and methodological areas of patient work. Each panelist will introduce their work, present challenges related to expanding the patient work approach in a new direction, and engage with audience members to address these challenges and brainstorm ways in which the patient work approach can be further adapted to more intricate healthcare challenges.

Self-care Barriers Reported by Emergency Department Patients With Acute Heart Failure: A Sociotechnical Systems-Based Approach

STUDY OBJECTIVE

We pilot tested a sociotechnical systems-based instrument that assesses the prevalence and nature of self-care barriers among patients presenting to the emergency department (ED) with acute heart failure.

METHODS

A semistructured instrument for measuring self-reported self-care barriers was developed and administered by ED clinicians and nonclinician researchers to 31 ED patients receiving a diagnosis of acute heart failure. Responses were analyzed with descriptive statistics and qualitative content analysis. Feasibility was assessed by examining participant cooperation rates, instrument completion times, item nonresponse, and data yield.

RESULTS

Of 47 distinct self-care barriers assessed, a median of 15 per patient were indicated as "sometimes" or "often" present. Thirty-four specific barriers were reported by more than 25% of patients and 9 were reported by more than 50%. The sources of barriers included the person, self-care tasks, tools and technologies, and organizational, social, and physical contexts. Seven of the top 10 most prevalent barriers were related to patient characteristics; the next 3, to the organizational context (eg, life disruptions). A preliminary feasibility assessment found few item nonresponses or comprehension difficulties, good cooperation, and high data yield from both closed- and open-ended items, but also found opportunities to reduce median administration time and variability.

CONCLUSION

An instrument assessing self-care barriers from multiple system sources can be feasibly implemented in the ED. Further research is required to modify the instrument for widespread use and evaluate its implementation across institutions and cultural contexts. Self-care barriers measurement can be one component of broader inquiry into the distributed health-related "work" activity of patients, caregivers, and clinicians.

The patient work system: an analysis of self-care performance barriers among elderly heart failure patients and their informal caregivers

Human factors and ergonomics approaches have been successfully applied to study and improve the work performance of healthcare professionals. However, there has been relatively little work in "patient-engaged human factors," or the application of human factors to the health-related work of patients and other nonprofessionals. This study applied a foundational human factors tool, the systems model, to investigate the barriers to self-care performance among chronically ill elderly patients and their informal (family) caregivers. A Patient Work System model was developed to guide the collection and analysis of interviews, surveys, and observations of patients with heart failure (n = 30) and their informal caregivers (n = 14). Iterative analyses revealed the nature and prevalence of self-care barriers across components of the Patient Work System. Person-related barriers were common and stemmed from patients' biomedical conditions, limitations, knowledge deficits, preferences, and perceptions as well as the characteristics of informal caregivers and healthcare professionals. Task barriers were also highly prevalent and included task difficulty, timing, complexity, ambiguity, conflict, and undesirable consequences. Tool barriers were related to both availability and access of tools and technologies and their design, usability, and impact. Context barriers were found across three domains-physical-spatial, social-cultural, and organizational-and multiple "spaces" such as "at home," "on the go," and "in the community." Barriers often stemmed not from single factors but from the interaction of several work system components. Study findings suggest the need to further explore multiple actors, contexts, and interactions in the patient work system during research and intervention design, as well as the need to develop new models and measures for studying patient and family work.

The Work and Work Systems of Patients: A New Frontier for Macroergonomics in Health Care

To maintain and improve their health, patients perform many non-paid activities that may be conceptualized as self-care and self-management work. However, within the domain of health care, macroergonomists have almost exclusively focused on analyzing the work and work systems of those employed by the health care system rather than those served by it. This panel will focus on how macroergonomics principles and models originally developed within an institutional context may be adapted for the contexts in which patients are embedded. The discussion will be grounded in specific analyses of patients’ work and work systems within domains such as consumer health information technology design, self-care work performance, transitions of care, and patient safety. During each of these presentations, panelists will focus on lessons related to the conceptual, methodological and practice-related challenges of understanding and affecting patients’ work and work systems that may be applied by other researchers.

Transforming consumer health informatics through a patient work framework: connecting patients to context

Designing patient-centered consumer health informatics (CHI) applications requires understanding and creating alignment with patients' and their family members' health-related activities, referred to here as 'patient work'. A patient work approach to CHI draws on medical social science and human factors engineering models and simultaneously attends to patients, their family members, activities, and context. A patient work approach extends existing approaches to CHI design that are responsive to patients' biomedical realities and personal skills and behaviors. It focuses on the embeddedness of patients' health management in larger processes and contexts and prioritizes patients' perspectives on illness management. Future research is required to advance (1) theories of patient work, (2) methods for assessing patient work, and (3) techniques for translating knowledge of patient work into CHI application design. Advancing a patient work approach within CHI is integral to developing and deploying consumer-facing technologies that are integrated with patients' everyday lives.

SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients

Healthcare practitioners, patient safety leaders, educators and researchers increasingly recognise the value of human factors/ergonomics and make use of the discipline's person-centred models of sociotechnical systems. This paper first reviews one of the most widely used healthcare human factors systems models, the Systems Engineering Initiative for Patient Safety (SEIPS) model, and then introduces an extended model, 'SEIPS 2.0'. SEIPS 2.0 incorporates three novel concepts into the original model: configuration, engagement and adaptation. The concept of configuration highlights the dynamic, hierarchical and interactive properties of sociotechnical systems, making it possible to depict how health-related performance is shaped at 'a moment in time'. Engagement conveys that various individuals and teams can perform health-related activities separately and collaboratively. Engaged individuals often include patients, family caregivers and other non-professionals. Adaptation is introduced as a feedback mechanism that explains how dynamic systems evolve in planned and unplanned ways. Key implications and future directions for human factors research in healthcare are discussed.