What is a clinical pathway? Development of a definition to inform the debate

A Clinical Care Pathway for Patients With Chronic Mechanical Low Back Pain Having Restorative Neurostimulation for Multifidus Muscle: Description, Patient Compliance, Clinical Outcomes, and Satisfaction in the First Two Years

OBJECTIVES

Restorative neurostimulation for multifidus muscle is a novel therapy for chronic low back pain (CLBP). Optimal outcomes require interdisciplinary follow-up. We describe a clinical care pathway (CPW) for this therapy and report patient compliance, clinical outcomes, and patient satisfaction with the CPW.

MATERIALS AND METHODS

This study aimed to develop, at a single center, a CPW with derivation, practical basis, description, and evolution. Included in the study were audits of 1) patient compliance with attendance over 24 months, 2) medical and paramedical attendance at the clinic, 3) clinical outcomes in terms of reductions in both patient and cohort disability (Oswestry Disability Index, ODI) and CLBP numeric rating score (NRS), and 4) adverse events; and a prospective cross-sectional survey of patient satisfaction with the CPW.

RESULTS

A CPW that involved both preoperative and postoperative education and integrated interdisciplinary care was developed and incorporated into the clinical service with a dedicated clinic. In the two years under study, 172 patients attended the education session, and 92 proceeded to restorative neurostimulation for multifidus muscle therapy; 15 patients who had this therapy before the CPW also were incorporated into the CPW. Patient compliance with the pathway was 88% (95% CI 79%-94%) at 12 months. Attendance at the dedicated CPW clinic by the various subspeciality clinicians ranged between 74% and 100%. There were serial reductions in both ODI (38.9 [95% CI 35.9-41.9] to 24.7 (95% CI 21.1-28.3) and CLBP NRS (6.3 [95% CI 6.0-6.7] to 3.3 (95% 2.7-3.9) after 12 months; 76 of the 99 patients assessable (77%: 95% CI 67%-85%) had a minimally important clinical difference reduction in either ODI or pain NRS, whereas eight were unassessable. Patient satisfaction with the CPW was very high (mean 26.9; median 27, maximum 28).

CONCLUSIONS

The CPW facilitated clinical management and optimized outcomes in patients having restorative neurostimulation. Its design and delivery were very well accepted by patients.

Impact of care pathway implementation on interprofessional teamwork: An international cluster randomized controlled trial

This study evaluates whether the implementation of an in-hospital care pathway (CP) improves interprofessional teamwork across countries and tests whether improved communications ("relational coordination") is the mechanism of action. A hospital-based cluster randomized controlled trial in Ireland, Belgium, Italy, and Portugal was performed. Fifty-six interprofessional teams caring for patients admitted with an exacerbation of chronic obstructive pulmonary disease or for patients with a proximal femur fracture were included and randomly assigned to an intervention group (31 teams and 567 team members), where a CP was implemented, and a control group (25 teams and 417 team members) representing usual care. Multilevel regression and mediation analysis were applied. First, although no significant effect was found on our primary outcome relational coordination, our CP significantly improved several team inputs, team processes (team climate for innovation) and team output (the level of organized care, level of competence) indicators. Second, our team process indicator of team climate for innovation partially mediated the association between CP implementation and team output indicator of better level of organized care. In conclusion, a CP sets in motion various mechanisms that improve some but not all aspects of interprofessional teamwork. Relational coordination does not appear to be the mechanism by which team outputs are enhanced.

Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review

BACKGROUND

Clinical pathways are sequences of events followed during the clinical care of a group of patients who meet pre-defined criteria. They have many applications ranging from healthcare evaluation and optimization to clinical decision support. These pathways can be discovered from existing healthcare data, in particular with machine learning which is a family of methods used to learn patterns from data. This review provides a comprehensive overview of the literature concerning the use of machine learning methods for clinical pathway discovery from patient data.

METHODS

Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method , we conducted a systematic review of the existing literature. We searched 6 databases, i.e., ACM Digital Library, ScienceDirect, Web of Science, PubMed, IEEE Xplore, and Scopus spanning from January 2004 to December 2023 using search terms pertinent to clinical pathways and their development. Subsequently, the retrieved papers were analyzed to assess their relevance to the scope of this study.

RESULTS

In total, 131 papers that met the specified inclusion criteria were identified. These papers expressed diverse motivations behind data-driven clinical pathway discovery ranging from knowledge discovery to conformance checking with established clinical guidelines (derived from existing literature and clinical experts). Notably, the predominant methods employed (67.2%, n=88) involved unsupervised machine learning techniques, such as clustering and process mining.

CONCLUSIONS

Relevant clinical pathways can be discovered from patient data using machine learning methods, with the desirable potential to aid clinical decision-making in healthcare. However, to reach this objective, the methods used to discover pathways should be reproducible, and rigorous performance evaluation by clinical experts needs to be conducted for validation.

Evidence-Based Youth Suicide Prevention and Intervention in Pediatric Primary Care Settings

Suicide is a leading cause of death in youth. Evidence highlights the importance of identifying youth at risk for suicide in pediatric primary care, and suggests this is a crucial setting for improving youth mental health. The American Academy of Pediatrics recommends primary care providers not only screen and assess for suicide risk, but also become educated on how to better manage certain mental health conditions. This article discusses the epidemiology of youth suicide in the United States and describes evidence-based strategies and innovative practices for suicide prevention in pediatric primary care including suicide risk screening, assessment, intervention, and follow-up care.

Enhancing Care Coordination in Oncology and Nononcology Thoracic Surgery Care Pathways Through a Digital Health Solution: Mixed Methods Study

BACKGROUND

Health-system fragmentation in Quebec significantly impacts care coordination, leading to interruptions in patients' care pathways and adverse effects on their health. Coordinating interfacility service corridors is complex and requires collaboration between multiple health care providers (HCPs) and care settings. Effective care coordination is essential to ensure optimal patient management at transition points.

OBJECTIVE

This study aims to improve oncology and nononcology thoracic surgery care pathways by enhancing care coordination during interfacility transfers through a digital health solution.

METHODS

A multicenter implementation study was conducted across 2 health regions and 2 health care facilities in Quebec. We conducted 27 semistructured interviews with HCPs and managers to better understand the care pathways. Participatory design workshops were held with future users and key stakeholders at an early stage of the technology's design to validate the prototype's functionalities and workflows. A web survey was sent to all end users (N=13) to assess their experience with the platform.

RESULTS

All participants (100%) either "agreed" or "strongly agreed" that the platform provided significant benefits. It enhanced interestablishment coordination (4/13, 31% agreed and 9/13, 69% strongly agreed) and continuity of care and services (8/13, 62% agreed and 5/13, 38% strongly agreed), and it contributed to better management and patient intake (10/13, 77% agreed and 3/13, 23% strongly agreed) and process fluidity (3/13, 77% agreed and 3/13, 23% strongly agreed). Surgeons from the McGill University Health Centre confirmed that the platform facilitated and secured information transmission (2/5, 40% agreed and 3/5, 60% strongly agreed) and kept track of oncology patient referrals, follow-up needs, and cases where surgery is unnecessary (2/5, 40% agreed and 3/5, 60% strongly agreed). Nursing staff from the Centre intégré de santé et de services sociaux de l'Outaouais and McGill University Health Centre reported high satisfaction with the platform's support during preoperative visit, surgery, and discharge processes. All participants perceived the platform as intuitive and easy to use. Additionally, participants valued its efficiency in providing rapid access to patient data, which reduces task time and ensures document security, thereby improving care coordination across facilities. The project's success has convinced the HCPs and senior management at both health care facilities to pursue long-term use of the Akinox digital health platform.

CONCLUSIONS

This pilot project represents a significant advancement in thoracic surgery care pathways and the coordination of interfacility health care service corridors. The project provides care pathways that are adaptable to other surgical specialties. It also paves the way for improving care in cancer and other health care networks while highlighting the key role of nurse navigators in patient care management. The project underscores the value of strategic leadership and stakeholders' collaboration to improve care coordination and operational efficiency by demonstrating technology's essential role in patient care pathways.

Visual Modeling Languages in Patient Pathways: Scoping Review

BACKGROUND

Patient pathways (PPs) are presented as a panacea solution to enhance health system functions. It is a complex concept that needs to be described and communicated well. Modeling plays a crucial role in promoting communication, fostering a shared understanding, and streamlining processes. Only a few existing systematic reviews have focused on modeling methods and standardized modeling languages. There remains a gap in consolidated knowledge regarding the use of diverse visual modeling languages.

OBJECTIVE

This scoping review aimed to compile visual modeling languages used to represent PPs, including the justifications and the context in which a modeling language was adopted, adapted, combined, or developed.

METHODS

After initial experimentation with the keywords used to describe the concepts of PPs and visual modeling languages, we developed a search strategy that was further refined and customized to the major databases identified as topically relevant. In addition, we consulted gray literature and conducted hand searches of the referenced articles. Two reviewers independently screened the articles in 2 stages using preset inclusion criteria, and a third reviewer voted on the discordance. Data charting was done using an iteratively developed form in the Covidence software. Descriptive and thematic summaries were presented following rounds of discussion to produce the final report.

RESULTS

Of 1838 articles retrieved after deduplication, 22 satisfied our inclusion criteria. Clinical pathway is the most used phrase to represent the PP concept, and most papers discussed the concept without providing their operational definition. We categorized the visual modeling languages into five categories: (1) general purpose-modeling language (GPML) adopted without major extension or modification, (2) GPML used with formal extension recommendations, (3) combination of 2 or more modeling languages, (4) a developed domain-specific modeling language (DSML), and (5) ontological modeling languages. The justifications for adopting, adapting, combining, and developing visual modeling languages varied accordingly and ranged from versatility, expressiveness, tool support, and extensibility of a language to domain needs, integration, and simplification.

CONCLUSIONS

Various visual modeling languages were used in PP modeling, each with varying levels of abstraction and granularity. The categorization we made could aid in a better understanding of the complex combination of PP and modeling languages. Standardized GPMLs were used with or without any modifications. The rationale to propose any modification to GPMLs evolved as more evidence was presented following requirement analyses to support domain constructs. DSMLs are infrequently used due to their resource-intensive development, often initiated at a project level. The justifications provided and the context where DSMLs were created are paramount. Future studies should assess the merits and demerits of using a visual modeling language to facilitate PP communications among stakeholders and use evaluation frameworks to identify, modify, or develop them, depending on the scope and goal of the modeling need.

Enhancing the value of the oncology thoracic surgery care pathway: a TDABC and ABC analysis

BACKGROUND

Time-driven activity-based costing (TDABC) and activity-based costing (ABC) are methods used in the healthcare sector to assess the costs of patient care pathways. These methods help identify opportunities for optimizing and reducing activity times without compromising the quality of care. TDABC is recommended in the Value-Based Healthcare (VBHC) model to assess the outcomes of care pathways in relation to their associated costs. By focusing on the creation of value for patients, TDABC helps identify the interventions and processes that provide the most value in terms of clinical outcomes and patient satisfaction. This enables healthcare organizations to make informed decisions on improvements that will maximize value for patients. The aim of the study is to evaluate the cost of the oncology thoracic surgery care pathway prior to and following the implementation of digital health solution.

METHODS

We have chosen to use the TDABC and ABC methods to calculate the costs of care pathway for oncology patients undergoing thoracic surgery in two healthcare establishments prior to and following the implementation of a digital health solution. By using these methods, we were able to calculate the costs associated with each stage of the patients' care pathway. This has given us a clearer picture of the costs associated with each activity and a better understanding of the sources of expenditure.

RESULTS

The results show that implementing the digital health solution and applying the principles of the VBHC model have provided tangible benefits in terms of reviewing processes and the roles of the various players involved, eliminating unnecessary or non-value-added activities, automating administrative or repetitive tasks, and improving coordination between the two healthcare establishments and between healthcare professionals. These improvements have contributed to better patient care.

CONCLUSIONS

Given the success observed in this pilot project, decision-makers chose to persistently implement this digital health solution for specific care pathways over the long term. Additionally, there is a commitment to further enhance the platform to align closely with the needs and the expectations of healthcare professionals. This proactive approach aims to ensure optimal utilization of resources, ultimately providing the best care to patients.

Evaluating Age-Friendly Health Care Approaches in Rural Primary Care Settings: A Multi-Case, Mixed-Methods Hybrid Type 2 Effectiveness-Implementation Study

Maintaining and improving the health and well-being of older people in rural communities through integrated care is essential to address this cohort's frailty risk. The Indigo 4Ms Tool for health workers is a rural-specific approach to providing care that addresses the common conditions of ageing. With Australian government funding, five small rural health services are implementing the tool. This paper describes the protocol for a hybrid type 2 implementation-effectiveness study to evaluate the tool's impact on multidisciplinary comprehensive care planning and the implementation strategies that enhance the adoption and sustainability of the tool across diverse rural health settings.

Mental health clinical pathways for children and young people with long-term health conditions: A systematic review

RATIONALE

Clinical pathways (CPWs) are structured care plans that set out essential steps in the care of patients with a specific clinical problem. Amidst calls for the prioritisation of integrated mental and physical health care for young people, multidisciplinary CPWs have been proposed as a step towards closer integration. There is very limited evidence around CPWs for young people with mental and physical health needs, necessitating a review of the literature.

AIMS AND OBJECTIVES

The aim of this review is to understand how clinical pathways have been used to deliver mental health support to children and young people with long-term physical health conditions and their effectiveness across a range of outcomes.

METHODS

The databases MEDLINE, CENTRAL, PsycINFO and CINAHL were searched from inception to 6 September 2023. Keywords linked to children and young people, mental health, long-term physical health conditions and CPWs were used. Studies using either quantitative or qualitative research designs were included. All studies must have evaluated a CPW to provide mental health support to children and young people (up to 25 years old) with long-term health physical conditions. Both mental and physical health outcomes were considered. Pathways were grouped by integration 'model' as described in the wider literature.

RESULTS

The initial search returned 4082 studies after deduplication. A total of eight studies detailing six distinct care pathways (232 participants [170 children and young people; 50 caregivers; 12 healthcare professionals]) met eligibility criteria and were included in the analysis. Four pathways were conducted within an 'integrated model'; two were a combination of 'integrated' and 'colocated'; and none within a 'co-ordinated model'. Only pathways within an integrated model reported quantitative health outcomes, with improvements across a range of mental health measures. One negative physical health outcome was reported from an integrated diabetes pathway, but this should be interpreted with caution.

CONCLUSION

This review identified a range of CPW designs but most fell under an integrated model. The results suggest that calls for integrated mental health pathways in this population may be appropriate; however, conclusions are limited by a paucity of evidence.

Care pathways versus usual care for chronic obstructive pulmonary disease (COPD)

OBJECTIVES

This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the effects of care pathways (CPs) compared to usual care/no CPs for people with chronic obstructive pulmonary disease (COPD).

Development of a Multidisciplinary Care Pathway for Fracture Prevention in Men with Prostate Cancer at Initiation of Androgen Deprivation Therapy

Fracture risk is increased in men with prostate cancer (PCa) receiving Androgen Deprivation Therapy (ADT). However, routine assessment of fracture risk is often not systematically applied. We aimed to establish a comprehensive care pathway for fracture prevention in men with PCa starting ADT. Therefore, a multidisciplinary working group designed and implemented a care pathway using the 'Knowledge to Action' framework, based on current Dutch guidelines for PCa, osteoporosis and fracture prevention, and an extensive literature review of other guidelines. The pathway was developed according to a five-step clinical approach including case finding, fracture risk assessment based on risk factors, bone mineral density test, vertebral fracture assessment, differential diagnosis, treatment, and annual follow-up. Our fracture prevention care pathway for patients with PCa at the time of ADT initiation was designed to promote a patient-centered, multidisciplinary approach to facilitate the implementation of early fracture prevention measures.

Development and validity testing of a matrix to evaluate maturity of clinical pathways: a case study in Saskatchewan, Canada

BACKGROUND

Healthcare systems are transforming into learning health systems that use data-driven and research-informed approaches to achieve continuous improvement. One of these approaches is the use of clinical pathways, which are tools to standardize care for a specific population and improve healthcare quality. Evaluating the maturity of clinical pathways is necessary to inform pathway development teams and health system decision makers about required pathway revisions or implementation supports. In an effort to improve the development, implementation, and sustainability of provincial clinical pathways, we developed a clinical pathways maturity evaluation matrix. To explore the initial content and face validity of the matrix, we used it to evaluate a case pathway within a provincial health authority in Saskatchewan, Canada.

METHODS

By using iterative consensus-based processes, we gathered feedback from stakeholders including patient and family partners, policy makers, clinicians, and quality improvement specialists, to rank, retain, or remove enablers and sub-enablers of the draft matrix. We tested the matrix on the Chronic Pain Pathway (CPP) for primary care in a local pilot area and revised the matrix based on feedback from the CPP development team leader.

RESULTS

The final matrix contains five enablers (i.e., Design, Ownership and Performer, Infrastructure, Performance Management, and Culture), 20 sub-enablers, and three trajectory definitions for each sub-enabler. Supplemental documents were created for six sub-enablers. The CPP scored 15 out of 40 possible points of maturity. Although the pathway scored highest in the Design enabler (10/12), it requires more attention in several areas, specifically the Ownership and Performer and the Performance Management enablers, each of which scored zero. Additionally, the Infrastructure and Culture enablers scored 2/4 and 3/8 points, respectively. These areas of the CPP are in need of improvement in order to enhance the overall maturity of the CPP.

CONCLUSIONS

We developed a clinical pathways maturity matrix to evaluate the various dimensions of clinical pathways' development and implementation. The goals of this initial work were to develop and validate a tool to assess the maturity and readiness of new or existing pathways and to track pathways' revisions and improvements.

Client experiences with "Dynamic Choice Prevention," a model for flexible patient-centred HIV prevention delivery in rural Eastern Africa

INTRODUCTION

Identifying the optimal approaches to offering HIV prevention to meet the needs of those at risk is a high priority, particularly given the expanding toolkit of biomedical HIV prevention options. An ongoing study in rural East African communities evaluated the uptake of choices in product, testing mode and location of care delivery through a structured patient-centred HIV prevention delivery model. In this qualitative study, we sought to understand clients' experiences of this "dynamic choice prevention model" (DCP) and highlight pathways of action to inform HIV prevention delivery models.

METHODS

In-depth semi-structured interviews were conducted from November 2021 through March 2022 with a purposively selected sample of n = 56 participants in DCP trials (across outpatient departments, antenatal clinics and community settings), and n = 21 healthcare providers (total n = 77). A seven-person multi-regional team translated and inductively coded transcript data. We used a framework analysis approach to identify emergent themes.

RESULTS

Individuals taking up HIV pre-exposure prophylaxis (PrEP) reported feelings of relief, liberation from fears of acquiring HIV and satisfaction with being able to take action despite partners' behaviours. Couples used a range of approaches afforded by the study to persuade partners to get tested and opt for PrEP. Post-exposure prophylaxis (PEP) use was less common, although women welcomed it in the event of sexual coercion or assault. Participants discussed switching from PEP to PrEP after familiarizing themselves with usage and ascertaining ongoing risk. Participants felt respected by providers, trusted them and appreciated being able to contact them directly for telephone support. Prevention uptake was hindered by stigma, limited experience with and knowledge of prevention methods, gendered and generational power dynamics within intimate partnerships and families, and negative perceptions of methods due to the products themselves. Participants anticipated long-acting injectable PrEP could solve their challenges regarding pill size, daily pill burden and the likelihood of unwanted disclosure.

CONCLUSIONS

Diverse preferences and barriers to uptake of prevention require a choice of HIV prevention options, locations and delivery modalities-but in addition, flexible, competent and friendly care provision is crucial to promote uptake. Helping clients feel valued, and addressing their unique needs and challenges, enables their agency to prioritize their health.

Clinical pathways for Korean medicine: An implementation approach to impact on the clinical process and association with attitudes

Background

South Korea's Ministry of Health and Welfare has developed clinical pathways for Korean Medicine (KM-CPs). As part of this initiative, a panel comprising Korean Medicine doctors (KMD) was assembled. This implementation study aimed to preliminarily explore how KM-CP implementation affects the appropriateness and efficiency of the clinical process and its relation to attitude.

Methods

Through random sampling, 311 KMDs were recruited as panelists to participate in two surveys. The surveys included information regarding the KM clinical environment and KM-CP implementation. A panel management program and educational materials were provided to KMDs between the two survey periods. Only 262 KMDs who responded to both surveys were included in the analysis. Three analyses were conducted: 1) descriptive analysis of the study variables, 2) panel analysis using the ordered logit regression model to elucidate the impact of KM-CP on the appropriateness and efficiency of the clinical process, and 3) ordered logit regression analysis of the association between KM-CP implementation and attitude.

Results

More than two-thirds of the KMDs attempted to adopt KM-CP, with mostly positive perception expressed by these doctors. However, expectations and concerns coexist with the standardization of KM-CP. Cases in which KM-CPs were partially and mostly implemented respectively had negative and positive effects on the appropriateness and efficiency of the clinical process compared to those in which KM-CPs were not implemented. Compared to neutral attitude, positive and very positive attitudes tended to be associated with increased implementation of KM-CP. However, statistical significances were not observed.

Conclusions

The impact of KM-CP on the clinical process and its association with attitude were found to be statistically unclear or inconsistent. Considering the study limitations and implications, we suggest a policy and academic strategies aimed at fostering improvement to enhance its utility.

Protocol for Improving Care by FAster risk-STratification through use of high sensitivity point-of-care troponin in patients presenting with possible acute coronary syndrome in the EmeRgency department (ICare-FASTER): a stepped-wedge cluster randomised quality improvement initiative

INTRODUCTION

Clinical assessment in emergency departments (EDs) for possible acute myocardial infarction (AMI) requires at least one cardiac troponin (cTn) blood test. The turn-around time from blood draw to posting results in the clinical portal for central laboratory analysers is ~1-2 hours. New generation, high-sensitivity, point-of-care cardiac troponin I (POC-cTnI) assays use whole blood on a bedside (or near bedside) analyser that provides a rapid (8 min) result. This may expedite clinical decision-making and reduce length of stay. Our purpose is to determine if utilisation of a POC-cTnI testing reduces ED length of stay. We also aim to establish an optimised implementation process for the amended clinical pathway.

METHODS AND ANALYSIS

This quality improvement initiative has a pragmatic multihospital stepped-wedge cross-sectional cluster randomised design. Consecutive patients presenting to the ED with symptoms suggestive of possible AMI and having a cTn test will be included. Clusters (comprising one or two hospitals each) will change from their usual-care pathway to an amended pathway using POC-cTnI-the 'intervention'. The dates of change will be randomised. Changes occur at 1 month intervals, with a minimum 2 month 'run-in' period. The intervention pathway will use a POC-cTnI measurement as an alternate to the laboratory-based cTn measurement. Clinical decision-making steps and logic will otherwise remain unchanged. The POC-cTnI is the Siemens (Erlangen Germany) Atellica VTLi high-sensitivity cTnI assay. The primary outcome is ED length of stay. The safety outcome is cardiac death or AMI within 30 days for patients discharged directly from the ED.

ETHICS AND DISSEMINATION

Ethics approval has been granted by the New Zealand Southern Health and Disability Ethics Committee, reference 21/STH/9. Results will be published in a peer-reviewed journal. Lay and academic presentations will be made. Māori-specific results will be disseminated to Māori stakeholders.

TRIAL REGISTRATION NUMBER

ACTRN12619001189112.

Development and implementation of a treatment pathway to reduce coronary angiograms - lessons from a failure

BACKGROUND

The rates of coronary angiograms (CA) and related procedures (percutaneous intervention [PCI]) are significantly higher in Germany than in other Organisation for Economic Co-ordination and Development (OECD) countries. The current guidelines recommend non-invasive diagnosis of coronary heart disease (CHD); CA should only have a limited role in choosing the appropriate revascularisation procedure. The aim of the present study was to explore whether improvements in guideline adherence can be achieved through the implementation of regional treatment pathways. We chose four regions of Germany with high utilisation of CAs for the study. Here we report the results of the concomitant qualitative study.

METHODS

General practitioners and specialist physicians (cardiologists, hospital-based cardiologists, emergency physicians, radiologists and nuclear medicine specialists) caring for patients with suspected CHD were invited to develop regional treatment pathways. Four academic departments provided support for moderation, provision of materials, etc. The study team observed session discussions and took notes. After the development of the treatment pathways, 45 semi-structured interviews were conducted with the participating physicians. Interviews and field notes were transcribed verbatim and underwent qualitative content analysis.

RESULTS

Pathway development received little support among the participants. Although consensus documents were produced, the results were unlikely to improve practice. The participants expressed very little commitment to change. Although this attempt clearly failed in all study regions, our experience provides relevant insights into the process of evidence appraisal and implementation. A lack of organisational skills, ignorance of current evidence and guidelines, and a lack of feedback regarding one's own clinical behaviour proved to be insurmountable. CA was still seen as the diagnostic gold standard by most interviewees.

CONCLUSIONS

Oversupply and overutilisation can be assumed to be present in study regions but are not immediately perceived by clinicians. The problem is unlikely to be solved by regional collaborative initiatives; optimised resource planning within the health care system combined with appropriate economic incentives might best address these issues.

Glossary of healthcare pathways: a methodological approach involving a transdisciplinary team in public health

Introduction

The healthcare pathway is at the heart of public health organization concerns, but communication between the various players can be an obstacle. This work, produced by a French transdisciplinary team, offers a methodological approach based on formalized consensus to elaborate a glossary of healthcare pathways. A two-steps procedure was elaborated, including a double rounded Delphi method to formalize expert consensus, and two groups of experts: a workgroup and a review group.

Methods

The workgroup provided a list of words or expressions that, in their opinion, described, evaluated or compared the healthcare pathways for patients, caregivers or regulators. The review group checked this list and added or deleted words or expressions. Then, definitions were added by the workgroup based into account three dimensions: official, academic and from the field. The review group validated the definitions and provided complementary proposals if needed.

Results

After pooling the list of words proposed by each of the six members of the working group, 417 words/expressions were ranked. After the two rounds of evaluation, 294 words/expressions were rated "appropriate" and were analyzed by the review group. This group, after two rounds of evaluation, agreed on 263 words/expressions that were transmitted to the working group who defined them. These definitions were rated by the review group. The first round of evaluation established 195 definitions as being appropriated whereas 68 definitions were amended by the review group.

Conclusion

This glossary supports transdisciplinary communication, reduces the extent of variations in practice and optimizes decision-making. International debate on all aspects might be strengthened by an improved understanding of the concept of health pathway.

From Pathways to Partnerships: Building Patient-Centered Clinical Tracks (PCCT) in Outpatient Community Mental Health Settings

Clinical pathways are structured multidisciplinary care plans used by treatment providers to detail essential steps in the care of patients based on assessment of their current health care needs and motivation and commitment for treatment. Reducing unnecessary variations in care and streamlining treatment processes in mental health settings may promote efficiency and help support quality improvement efforts. (Rotter et al., 2019) In this article we will describe the development of clinical pathways, coined Patient Centered Clinical Tracks (PCCT) in an outpatient community mental health clinic in an academic medical center in New York City. PCCT is comprised of six different clinical pathways that include: Medication & Engagement, Supportive Therapy, Dialectal-Behavior Therapy, Cognitive-Behavioral Therapy/Acceptance Commitment-Therapy, Relational Therapy and THRIVE (a Trauma Specialty Program). We will present the six Clinical Tracks and describe the early implementation of this model. We will explore how this programmatic infrastructure can connect evidence to practice and address multiple systemic challenges faced in a community mental health setting with a strong emphasis on training.

Building digital patient pathways for the management and treatment of multiple sclerosis

Recent advances in the field of artificial intelligence (AI) could yield new insights into the potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI opens new possibilities regarding the interpretation and use of big data from not only a cross-sectional, but also a longitudinal perspective. For each patient with MS, there is a vast amount of multimodal data being accumulated over time. But for the application of AI and related technologies, these data need to be available in a machine-readable format and need to be collected in a standardized and structured manner. Through the use of mobile electronic devices and the internet it has also become possible to provide healthcare services from remote and collect information on a patient's state of health outside of regular check-ups on site. Against this background, we argue that the concept of pathways in healthcare now could be applied to structure the collection of information across multiple devices and stakeholders in the virtual sphere, enabling us to exploit the full potential of AI technology by e.g., building digital twins. By going digital and using pathways, we can virtually link patients and their caregivers. Stakeholders then could rely on digital pathways for evidence-based guidance in the sequence of procedures and selection of therapy options based on advanced analytics supported by AI as well as for communication and education purposes. As far as we aware of, however, pathway modelling with respect to MS management and treatment has not been thoroughly investigated yet and still needs to be discussed. In this paper, we thus present our ideas for a modular-integrative framework for the development of digital patient pathways for MS treatment.

Applying sequence analysis to uncover 'real-world' clinical pathways from routinely collected data: a systematic review

OBJECTIVES

This systematic review aims to elucidate the methodological practices and reporting standards associated with sequence analysis (SA) for the identification of clinical pathways in real-world scenarios, using routinely collected data.

STUDY DESIGN AND SETTING

We conducted a methodological systematic review, searching five medical and health databases: MEDLINE, PsycINFO, CINAHL, EMBASE and Web of Science. The search encompassed articles from the inception of these databases up to February 28, 2023. The search strategy comprised two distinctive sets of search terms, specifically focused on sequence analysis and clinical pathways.

RESULTS

19 studies met the eligibility criteria for this systematic review. Nearly 60% of the included studies were published in or after 2021, with a significant proportion originating from Canada (n = 7) and France (n = 5). 90% of the studies adhered to the fundamental SA steps. The optimal matching (OM) method emerged as the most frequently employed dissimilarity measure (63%), while agglomerative hierarchical clustering using Ward's linkage was the preferred clustering algorithm (53%). However, it is imperative to underline that a majority of the studies inadequately reported key methodological decisions pertaining to SA.

CONCLUSION

This review underscores the necessity for enhanced transparency in reporting both data management procedures and key methodological choices within SA processes. The development of reporting guidelines and a robust appraisal tool tailored to assess the quality of SA would be invaluable for researchers in this field.

Pregnancy outcomes after implementation of an induction of labor care pathway

BACKGROUND

Induction of labor is common; however, the optimum clinical strategy for induction of labor is less clear. Variations in clinical practices related to induction of labor may lead to increased complications and longer induction of labor times.

OBJECTIVE

This study aimed to analyze whether the implementation of an evidence-based standardized care pathway improves the clinical outcomes associated with induction of labor.

STUDY DESIGN

This was an approved quality improvement project implementing a clinical care pathway for induction of labor. Moreover, this was a retrospective cohort study of inductions of labor for 5 months before (January 2018 to May 2018) and 14 months after (August 2018 to September 2019) the implementation of the care pathway. The primary outcome was time from admission to delivery. Time from admission to delivery was stratified by mode of delivery. The secondary outcomes included chorioamnionitis, endometritis, neonatal intensive care unit admissions, cesarean delivery, postpartum hemorrhage, and a composite of unanticipated outcomes (chorioamnionitis, endometritis, neonatal intensive care unit admissions, cesarean delivery, and postpartum hemorrhage). In addition, pathway adherence was analyzed. The outcomes were analyzed using 2-tailed t tests for continuous data and the Fisher exact test and chi-square tests for categorical data. Propensity score matching was used to assess for confounding by potential covariates.

RESULTS

A total of 1471 inductions of labor were reviewed, with 392 inductions of labor before the implementation of the care pathway and 1079 inductions of labor after the implementation of the care pathway. The pathway was associated with a nonsignificant reduction in the time from admission to delivery by 1.2 hours (from 23.4 to 22.2 hours; P=.08). There was a nonsignificant increase in the time to cesarean delivery before (28.2 hours) and after (28.8 hours) protocol implementation (P=.71). There was a significant decrease in the time to delivery by 1.7 hours for vaginal deliveries (from 22.2 to 20.5 hours) after protocol implementation (P=.02). There was a significant decrease in chorioamnionitis (from 12.5% to 6.0%; odds ratio, 0.44; 95% confidence interval, 0.29-0.67), a significant decrease in endometritis (from 6.9% to 2.6%; odds ratio, 0.36; 95% confidence interval, 0.20-0.65), and a significant decrease in composite unanticipated outcomes (from 56.9% to 36.6%; odds ratio, 0.46; 95% confidence interval, 0.34-0.56) after the implementation of the care pathway. There was no significant difference in postpartum hemorrhage (from 7.9% to 6.1%; odds ratio, 0.76; 95% confidence interval, 0.48-1.22), neonatal intensive care unit admissions (from 18.1% to 14.0%; odds ratio, 0.74; 95% confidence interval, 0.54-1.02), or cesarean deliveries (from 19.6% to 20.1%; odds ratio, 1.03; 95% confidence interval, 0.76-1.40) after the implementation of the care pathway. Pathway adherence varied, ranging from 50% to 89%.

CONCLUSION

The introduction of a standardized induction of labor pathway was associated with a nonsignificant reduction in the time from admission to delivery by 1.2 hours and improved pregnancy outcomes, including decreased infections and unanticipated outcomes. Further opportunities for improvements in clinical outcomes may be realized with increased compliance with the care pathway.

Practical Utility of a Clinical Pathway for Older Patients with Aspiration Pneumonia: A Single-Center Retrospective Observational Study

Introduction: Clinical pathways (CPWs) are patient management tools based on a standardized treatment plan aimed at improving quality of care. This study aimed to investigate whether CPW-guided treatment has a favorable impact on the outcomes of hospitalized older patients with aspiration pneumonia. Method: This retrospective study included patients with aspiration pneumonia, aged ≥ 65 years, and hospitalized at a community hospital in Japan. CPW implementation was arbitrarily determined by the attending physician upon admission. Outcomes were compared according to with or without the CPW (CPW-group and non-CPW groups). Propensity score (PS)-based analyses were used to control for confounding factors. Logistic regression analyses were conducted to evaluate the impact of CPW on the clinical course and outcomes. Results: Of 596 included patients, 167 (28%) received the CPW-guided treatment. The mortality rate was 16.4%. In multivariable model, CPW implementation did not increase the risk for total and 30-day mortality, and resulted in shorter antibiotic therapy duration (≤9 days) (PS matching (PSM): odds ratio (OR) 0.50, p = 0.001; inverse provability of treatment weighting (IPTW): OR 0.48, p < 0.001) and length of hospital stay (≤21 days) (PSM: OR 0.67, p = 0.05; IPTW: OR 0.66, p = 0.03). Conclusions: This study support CPW utility in this population.

Toward an Interdisciplinary Approach to Constructing Care Delivery Pathways From Electronic Health Care Databases to Support Integrated Care in Chronic Conditions: Systematic Review of Quantification and Visualization Methods

BACKGROUND

Electronic health care databases are increasingly used for informing clinical decision-making. In long-term care, linking and accessing information on health care delivered by different providers could improve coordination and health outcomes. Several methods for quantifying and visualizing this information into data-driven care delivery pathways (CDPs) have been proposed. To be integrated effectively and sustainably into routine care, these methods need to meet a range of prerequisites covering 3 broad domains: clinical, technological, and behavioral. Although advances have been made, development to date lacks a comprehensive interdisciplinary approach. As the field expands, it would benefit from developing common standards of development and reporting that integrate clinical, technological, and behavioral aspects.

OBJECTIVE

We aimed to describe the content and development of long-term CDP quantification and visualization methods and to propose recommendations for future work.

METHODS

We conducted a systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. We searched peer-reviewed publications in English and reported the CDP methods by using the following data in the included studies: long-term care data and extracted data on clinical information and aims, technological development and characteristics, and user behaviors. The data are summarized in tables and presented narratively.

RESULTS

Of the 2921 records identified, 14 studies were included, of which 13 (93%) were descriptive reports and 1 (7%) was a validation study. Clinical aims focused primarily on treatment decision-making (n=6, 43%) and care coordination (n=7, 50%). Technological development followed a similar process from scope definition to tool validation, with various levels of detail in reporting. User behaviors (n=3, 21%) referred to accessing CDPs, planning care, adjusting treatment, or supporting adherence.

CONCLUSIONS

The use of electronic health care databases for quantifying and visualizing CDPs in long-term care is an emerging field. Detailed and standardized reporting of clinical and technological aspects is needed. Early consideration of how CDPs would be used, validated, and implemented in clinical practice would likely facilitate further development and adoption.

TRIAL REGISTRATION

PROSPERO CRD42019140494; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=140494.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2019-033573.

Automated Clinical Pathway Utilizing Custom Risk Stratification Identifies Substantial Rates of Overdue Follow-up Among Patients With Inflammatory Bowel Disease and Facilitates Population Health Interventions

We describe the development and implementation of a dynamic clinical pathway, the IBD CarePath, integrated into the electronic health record that applies custom risk stratification to identify patients with IBD who are overdue for clinical follow-up.

Excellence in forensic psychiatry services: international survey of qualities and correlates

BACKGROUND

Excellence is that quality that drives continuously improving outcomes for patients. Excellence must be measurable. We set out to measure excellence in forensic mental health services according to four levels of organisation and complexity (basic, standard, progressive and excellent) across seven domains: values and rights; clinical organisation; consistency; timescale; specialisation; routine outcome measures; research and development.

AIMS

To validate the psychometric properties of a measurement scale to test which objective features of forensic services might relate to excellence: for example, university linkages, service size and integrated patient pathways across levels of therapeutic security.

METHOD

A survey instrument was devised by a modified Delphi process. Forensic leads, either clinical or academic, in 48 forensic services across 5 jurisdictions completed the questionnaire.

RESULTS

Regression analysis found that the number of security levels, linked patient pathways, number of in-patient teams and joint university appointments predicted total excellence score.

CONCLUSIONS

Larger services organised according to stratified therapeutic security and with strong university and research links scored higher on this measure of excellence. A weakness is that these were self-ratings. Reliability could be improved with peer review and with objective measures such as quality and quantity of research output. For the future, studies are needed of the determinants of other objective measures of better outcomes for patients, including shorter lengths of stay, reduced recidivism and readmission, and improved physical and mental health and quality of life.

The Patient as an Actor in His Care Pathway: Insights From the French Case

In France, patients' right to take part in decisions regarding their health has been recognized by law since 2002. This legal recognition was the outcome of a long-standing call to allow all individuals to be "actors in their own health" and to co-develop their care pathway with the professionals involved. In practice, care pathways simultaneously intertwine both standardization and personalization dynamics, which involve different forms of professional-patient interaction. This article analyses the links between the organizational variables of care pathways, and the ways in which patients are involved in the management of their own pathway. To date, these links have received little attention in the management science and health literatures. We draw on material from a case study carried out in 2 French territories, combining the analysis of patient pathways with interviews conducted with professionals and carers. Building on this analysis, we propose a typology of patient profiles which distinguishes between their different forms of involvement in the development of their care pathway, based on its organizational characteristics.

Exploring Acute Pancreatitis Clinical Pathways Using a Novel Process Mining Method

Mining process models of medical behavior from electronic medical records is an effective way to optimize clinical pathways. However, clinical medical behavior is an extremely complex field with high nonlinearity and variability, and thus we need to adopt a more effective method. In this study, we developed a fuzzy process mining method for complex clinical pathways. Firstly, we designed a multi-level expert classification system with fuzzy values to preserve finer details. Secondly, we categorized medical events into long-term and temporary events for more specific data processing. Subsequently, we utilized electronic medical record (EMR) data of acute pancreatitis spanning 9 years, collected from a large general hospital in China, to evaluate the effectiveness of our method. The results demonstrated that our modeling process was simple and understandable, allowing for a more comprehensive representation of medical intricacies. Moreover, our method exhibited high patient coverage (>0.94) and discrimination (>0.838). These findings were corroborated by clinicians, affirming the accuracy and effectiveness of our approach.

Effectiveness, quality and implementation of pain, sedation, delirium, and iatrogenic withdrawal syndrome algorithms in pediatric intensive care: a systematic review and meta-analysis

Background

Pain, sedation, delirium, and iatrogenic withdrawal syndrome are conditions that often coexist, algorithms can be used to assist healthcare professionals in decision making. However, a comprehensive review is lacking. This systematic review aimed to assess the effectiveness, quality, and implementation of algorithms for the management of pain, sedation, delirium, and iatrogenic withdrawal syndrome in all pediatric intensive care settings.

Methods

A literature search was conducted on November 29, 2022, in PubMed, Embase, CINAHL and Cochrane Library, ProQuest Dissertations & Theses, and Google Scholar to identify algorithms implemented in pediatric intensive care and published since 2005. Three reviewers independently screened the records for inclusion, verified and extracted data. Included studies were assessed for risk of bias using the JBI checklists, and algorithm quality was assessed using the PROFILE tool (higher % = higher quality). Meta-analyses were performed to compare algorithms to usual care on various outcomes (length of stay, duration and cumulative dose of analgesics and sedatives, length of mechanical ventilation, and incidence of withdrawal).

Results

From 6,779 records, 32 studies, including 28 algorithms, were included. The majority of algorithms (68%) focused on sedation in combination with other conditions. Risk of bias was low in 28 studies. The average overall quality score of the algorithm was 54%, with 11 (39%) scoring as high quality. Four algorithms used clinical practice guidelines during development. The use of algorithms was found to be effective in reducing length of stay (intensive care and hospital), length of mechanical ventilation, duration of analgesic and sedative medications, cumulative dose of analgesics and sedatives, and incidence of withdrawal. Implementation strategies included education and distribution of materials (95%). Supportive determinants of algorithm implementation included leadership support and buy-in, staff training, and integration into electronic health records. The fidelity to algorithm varied from 8.2% to 100%.

Conclusions

The review suggests that algorithm-based management of pain, sedation and withdrawal is more effective than usual care in pediatric intensive care settings. There is a need for more rigorous use of evidence in the development of algorithms and the provision of details on the implementation process.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021276053, PROSPERO [CRD42021276053].

Impact of Prior Authorization on Patient Access to Cancer Care

Prior authorization (PA) is a type of utilization review that health insurers apply to control service delivery, payments, and reimbursements of health interventions. The original stated intent of PA was to ensure high-quality standards in treatment delivery while encouraging evidence-based and cost-effective therapeutic choices. However, as currently implemented in clinical practice, PA has been shown to affect the health workforce, adding administrative burden to authorize needed health interventions for patients and often requiring time-consuming peer-to-peer reviews to challenge initial denials. PA is presently required for a wide range of interventions, including supportive care medicines and other essential cancer care interventions. Patients who are denied coverage are commonly forced to receive second-choice options, including less effective or less tolerable options, or are exposed to financial toxicity because of substantial out-of-pocket expenditures, affecting patient-centric outcomes. The development of tools informed by national clinical guidelines to identify standard-of-care interventions for patients with specific cancer diagnoses and the implementation of evidence-based clinical pathways as part of quality improvement efforts of cancer centers have improved patient outcomes and may serve to establish new payment models for health insurers, thereby also reducing administrative burden and delays. The definition of a set of essential interventions and guidelines- or pathways-driven decisions could facilitate reimbursement decisions and thus reduce the need for PAs. Structural changes in how PA is applied and implemented, including a redefinition of its real need, are needed to optimize patient-centric outcomes and support high-quality care of patients with cancer.

Using care pathways for cancer diagnosis in primary care: a qualitative study to understand family physicians' mental models

BACKGROUND

Care pathways are tools that can help family physicians navigate the complexities of the cancer diagnostic process. Our objective was to examine the mental models associated with using care pathways for cancer diagnosis of a group of family physicians in Alberta.

METHODS

We conducted a qualitative study using cognitive task analysis, with interviews in the primary care setting between February and March 2021. Family physicians whose practices were not heavily oriented toward patients with cancer and who did not work closely with specialized cancer clinics were recruited with the support of the Alberta Medical Association and leveraging our familiarity with Alberta's Primary Care Networks. We conducted simulation exercise interviews with 3 pathway examples over Zoom, and we analyzed data using both macrocognition theory and thematic analysis.

RESULTS

Eight family physicians participated. Macrocognitive functions (and subthemes) related to mental models were sense-making and learning (confirmation and validation, guidance and support, and sense-giving to patients), care coordination and diagnostic decision-making (shared understanding). Themes related to the use of the pathways were limited use in diagnosis decisions, use in guiding and supporting referral, only relevant and easy-to-process information, and easily accessible.

INTERPRETATION

Our findings suggest the importance of designing pathways intentionally for streamlined integration into family physicians' practices, highlighting the need for co-design approaches. Pathways were identified as a tool that, used in combination with other tools, may help gather information and support cancer diagnosis decisions, with the goals of improving patient outcomes and care experience.

Decomposing clinical practice guidelines panels' deliberation into decision theoretical constructs

RATIONALE, AIMS AND OBJECTIVES: The development of clinical practice guidelines (CPG) suffers from the lack of an explicit and transparent framework for synthesising the key elements necessary to formulate practice recommendations. We matched deliberations of the American Society of Haematology (ASH) CPG panel for the management of pulmonary embolism (PE) with the corresponding decision-theoretical constructs to assess agreement of the panel recommendations with explicit decision modelling.

METHODS

Five constructs were identified of which three were used to reformulate the panel's recommendations: (1) standard, expected utility threshold (EUT) decision model; (2) acceptable regret threshold model (ARg) to determine the frequency of tolerable false negative (FN) or false positive (FP) recommendations, and (3) fast-and-frugal tree (FFT) decision trees to formulate the entire strategy for management of PE. We compared four management strategies: withhold testing versus d-dimer → computerized pulmonary angiography (CTPA) ('ASH-Low') versus CTPA→ d-dimer ('ASH-High') versus treat without testing.

RESULTS

Different models generated different recommendations. For example, according to EUT, testing should be withheld for prior probability PE < 0.13%, a clinically untenable threshold which is up to 15 times (2/0.13) below the ASH guidelines threshold of ruling out PE (at post probability of PE ≤ 2%). Three models only agreed that the 'ASH low' strategy should be used for the range of pretest probabilities of PE between 0.13% and 13.27% and that the 'ASH high' management should be employed in a narrow range of the prior PE probabilities between 90.85% and 93.07%. For all other prior probabilities of PE, choosing one model did not ensure coherence with other models.

CONCLUSIONS

CPG panels rely on various decision-theoretical strategies to develop its recommendations. Decomposing CPG panels' deliberation can provide insights if the panels' deliberation retains a necessary coherence in developing guidelines. CPG recommendations often do not agree with the EUT decision analysis, widely used in medical decision-making modelling.

Evaluating a clinical decision support point of care instrument in low resource setting

BACKGROUND

Clinical pathways are one of the main tools to manage the health care's quality and concerned with the standardization of care processes. They have been used to help frontline healthcare workers by presenting summarized evidence and generating clinical workflows involving a series of tasks performed by various people within and between work environments to deliver care. Integrating clinical pathways into Clinical Decision Support Systems (CDSSs) is a common practice today. However, in a low-resource setting (LRS), this kind of decision support systems is often not readily accessible or even not available. To fill this gap, we developed a computer aided CDSS that swiftly identifies which cases require a referral and which ones may be managed locally. The computer aided CDSS is designed primarily for use in primary care settings for maternal and childcare services, namely for pregnant patients, antenatal and postnatal care. The purpose of this paper is to assess the user acceptance of the computer aided CDSS at the point of care in LRSs.

METHODS

For evaluation, we used a total of 22 parameters structured in to six major categories, namely "ease of use, system quality, information quality, decision changes, process changes, and user acceptance." Based on these parameters, the caregivers from Jimma Health Center's Maternal and Child Health Service Unit evaluated the acceptability of a computer aided CDSS. The respondents were asked to express their level of agreement using 22 parameters in a think-aloud approach. The evaluation was conducted in the caregiver's spare-time after the clinical decision. It was based on eighteen cases over the course of two days. The respondents were then asked to score their level of agreement with some statements on a five-point scale: strongly disagree, disagree, neutral, agree, and strongly agree.

RESULTS

The CDSS received a favorable agreement score in all six categories by obtaining primarily strongly agree and agree responses. In contrast, a follow-up interview revealed a variety of reasons for disagreement based on the neutral, disagree, and strongly disagree responses.

CONCLUSIONS

Though the study had a positive outcome, it was limited to the Jimma Health Center Maternal and Childcare Unit, and hence a wider scale evaluation and longitudinal measurements, including computer aided CDSS usage frequency, speed of operation and impact on intervention time are needed.

Modeling disease progression and treatment pathways for depression jointly using agent based modeling and system dynamics

Introduction

Depression is a common mental health condition that affects millions of people worldwide. Care pathways for depression are complex and the demand across different parts of the healthcare system is often uncertain and not entirely understood. Clinical progression with depression can be equally complex and relates to whether or not a patient is seeking care, the care pathway they are on, and the ability for timely access to healthcare services. Considering both pathways and progression for depression are however rarely studied together in the literature.

Methods

This paper presents a hybrid simulation modeling framework that is uniquely able to capture both disease progression, using Agent Based Modeling, and related care pathways, using a System Dynamics. The two simulation paradigms within the framework are connected to run synchronously to investigate the impact of depression progression on healthcare services and, conversely, how any limitations in access to services may impact clinical progression. The use of the developed framework is illustrated by parametrising it with published clinical data and local service level data from Wales, UK.

Results and discussion

The framework is able to quantify demand, service capacities and costs across all care pathways for a range of different scenarios. These include those for varying service coverage and provision, such as the cost-effectiveness of treating patients more quickly in community settings to reduce patient progression to more severe states of depression, and thus reducing the costs and utilization of more expensive specialist settings.

Clinical-chatbot AHP evaluation based on "quality in use" of ISO/IEC 25010

BACKGROUND

Conversational agents are currently a valid alternative to humans in first-level interviews with users who need information, even in-depth, about services or products. In application domains such as health care, this technology can become pervasive only if the perceived "quality in use" is appropriate. How to measure chatbot quality is an open question. The international standard ISO/IEC 25010 proposes a set of characteristics (effectiveness, efficiency, satisfaction, freedom from risk, and context coverage) to be considered when the "quality in use" of a software system has to be measured.

BASIC PROCEDURE

This study proposes a clinical chatbot comparison method based on quality. The proposed approach is based on Analytic Hierarchy Process methodology (AHP).

FINDINGS

Our contribution is twofold. First, we propose a set of measures for each characteristic of ISO/IEC 25010 according to three classes of functionality: providing information, providing prescriptions and process management. Moreover a quantitative method is proposed for making homogeneous the pairwise weights when the AHP is used for the "quality-in-use" comparison. As a case study, a comparison of two versions of a chatbot was performed.

CONCLUSIONS

The results show that the proposed approach provides an effective reference base for performing quality comparisons of medical chatbots compliant with the ISO/IEC 25010 standard.

Use of clinical pathways integrated into the electronic health record to address the coronavirus disease 2019 (COVID-19) pandemic

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has required healthcare systems to meet new demands for rapid information dissemination, resource allocation, and data reporting. To help address these challenges, our institution leveraged electronic health record (EHR)-integrated clinical pathways (E-ICPs), which are easily understood care algorithms accessible at the point of care.

OBJECTIVE

To describe our institution's creation of E-ICPs to address the COVID-19 pandemic, and to assess the use and impact of these tools.

SETTING

Urban academic medical center with adult and pediatric hospitals, emergency departments, and ambulatory practices.

METHODS

Using the E-ICP processes and infrastructure established at our institution as a foundation, we developed a suite of COVID-19-specific E-ICPs along with a process for frequent reassessment and updating. We examined the development and use of our COVID-19-specific pathways for a 6-month period (March 1-September 1, 2020), and we have described their impact using case studies.

RESULTS

In total, 45 COVID-19-specific pathways were developed, pertaining to triage, diagnosis, and management of COVID-19 in diverse patient settings. Orders available in E-ICPs included those for isolation precautions, testing, treatments, admissions, and transfers. Pathways were accessed 86,400 times, with 99,081 individual orders were placed. Case studies demonstrate the impact of COVID-19 E-ICPs on stewardship of resources, testing optimization, and data reporting.

CONCLUSIONS

E-ICPs provide a flexible and unified mechanism to meet the evolving demands of the COVID-19 pandemic, and they continue to be a critical tool leveraged by clinicians and hospital administrators alike for the management of COVID-19. Lessons learned may be generalizable to other urgent and nonurgent clinical conditions.

Evaluation of a fast-and-frugal clinical decision algorithm ('pathways') on clinical outcomes in hospitalised patients with COVID-19 treated with anticoagulants

RATIONALE, AIMS AND OBJECTIVES

Critics have charged that evidence-based medicine (EBM) overemphasises algorithmic rules over unstructured clinical experience and intuition, but the role of structured decision support systems in improving health outcomes remains uncertain. We aim to assess if delivery of anticoagulant prophylaxis in hospitalised patients with COVID-19 according to an algorithm based on evidence-based clinical practice guideline (CPG) improved clinical outcomes compared with administration of anticoagulant treatment given at individual practitioners' discretion.

METHODS

An observational design consisting of the analysis of all acutely ill, consecutive patients (n = 1783) with confirmed COVID-19 diagnosis admitted between 10 March 2020 to 11 January 2022 to an US academic center. American Society of Haematology CPG for anticoagulant prophylaxis in hospitalised patients with COVID-19 was converted into a clinical pathway and translated into fast-and-frugal decision (FFT) tree ('algorithm'). We compared delivery of anticoagulant prophylaxis in hospitalised patients with COVID-19 according to the FFT algorithm with administration of anticoagulant treatment given at individual practitioners' discretion.

RESULTS

In an adjusted analysis, using combination of Lasso (least absolute shrinkage and selection operator) and propensity score based weighting [augmented inverse-probability weighting] statistical techniques controlling for cluster data, the algorithm did not reduce death, venous thromboembolism, or major bleeding, but helped avoid longer hospital stay [number of patients needed to be treated (NNT) = 40 (95% CI: 23-143), indicating that for every 40 patients (23-143) managed on FFT algorithm, one avoided staying in hospital longer than 10 days] and averted admission to intensive-care unit (ICU) [NNT = 19 (95% CI: 13-40)]. All model's selected covariates were well balanced. The results remained robust to sensitivity analyses used to test the stability of the findings.

CONCLUSIONS

When delivered using a structured FFT algorithm, CPG shortened the hospital stay and help avoided admission to ICU, but it did not affect other relevant outcomes.

A Data-Driven Approach to Support the Understanding and Improvement of Patients' Journeys: A Case Study Using Electronic Health Records of an Emergency Department

OBJECTIVES

Given the increasing availability of electronic health records, it has become increasingly feasible to adopt data-driven approaches to capture a deep understanding of the patient journeys. Nevertheless, simply using data-driven techniques to depict the patient journeys without an integrated modeling and analysis approach is proving to be of little benefit for improving patients' experiences. Indeed, a model of the journey patterns is necessary to support the improvement process.

METHODS

We presented a 3-phase methodology that integrates a process mining-based understanding of patient journeys with a stochastic graphical modeling approach to derive and analyze the analytical expressions of some important performance indicators of an emergency department including mean and variance of patients' length of stay (LOS).

RESULTS

Analytical expressions were derived and discussed for mean and variance of LOS times and discharge and admission probabilities. LOS differed significantly depending on whether a patient was admitted to the hospital or discharged. Moreover, multiparameter sensitivity equations are obtained to identify which activities contribute the most in reducing the LOS at given operating conditions so decision makers can prioritize their improvement initiatives.

CONCLUSIONS

Data-driven based approaches for understanding the patient journeys coupled with appropriate modeling techniques yield a promising tool to support improving patients' experiences. The modeling techniques should be easy to implement and not only should be capable of deriving some key performance indicators of interest but also guide decision makers in their improvement initiatives.

Patient perspectives of care pathways for people with low back pain: A qualitative study

BACKGROUND

Low back pain (LBP) care pathways aim to enhance health outcomes through patient-clinician mutual decision-making and care coordination. However, challenges to successful translation into practice include patients' understanding, expectation, and acceptance of treatment and management strategies for LBP. This study explored patients' perspectives and/or experience of care pathways and their involvement in decision-making in primary care.

METHODS

A qualitative descriptive design was adopted. Semi-structured interviews were conducted with 14 participants with LBP recruited from the community. Inductive thematic analysis of the qualitative data was conducted within the design framework to enable a systematic comparison of experiences across participants and within individual cases.

RESULTS

Five themes described participant perspectives and understanding of care pathways: i) care pathways can guide decision-making; ii) familiarity with no and/or stepped care pathway, but preference for matched or blend of care pathways; iii) engaging in shared decision-making; iv) patient-related barriers to implementation; v) patient-related facilitators to implementation.

CONCLUSIONS

Participants felt that existing care pathways did not meet their needs when pain persisted. Participants preferred matched or hybrid care pathways and suggested that implementation of such pathways should focus on addressing an individual's needs. Adopting a holistic approach, and clarity in shared decision-making, were deemed crucial for effective implementation of LBP pathways in practice. Consumer (patient) engagement in the design of LBP care pathways is recommended.

Development of clinical pathways to improve multidisciplinary care of high-risk pediatric oncology patients

Clinical pathways are evidence-based tools that have been integrated into many aspects of pediatric hospital medicine and have proven effective at reducing in-hospital complications from a variety of diseases. Adaptation of similar tools for specific, high-risk patient populations in pediatric oncology has been slower, in part due to patient complexities and variations in management strategies. There are few published studies of clinical pathways for pediatric oncology patients. Pediatric patients with a new diagnosis of leukemia or lymphoma often present with one or more “oncologic emergencies” that require urgent intervention and deliberate multidisciplinary care to prevent significant consequences. Here, we present two clinical pathways that have recently been developed using a multidisciplinary approach at a single institution, intended for the care of patients who present with hyperleukocytosis or an anterior mediastinal mass. These clinical care pathways have provided a critical framework for the immediate care of these patients who are often admitted to the pediatric intensive care unit for initial management. The goal of the pathways is to facilitate multidisciplinary collaborations, expedite diagnosis, and streamline timely treatment initiation. Standardizing the care of high-risk pediatric oncology patients will ultimately decrease morbidity and mortality associated with these diseases to increase the potential for excellent outcomes.

Effects of implementing a clinical pathway on antibiotic prophylaxis for patients who underwent an elective surgery

A reduction in the unnecessary use of antibiotic prophylaxis can prevent antibiotic resistance and adverse drug events. We aimed to evaluate the effects of implementing clinical pathways (CPs) on adherence to a systematic and appropriate duration of antibiotic prophylaxis. We identified 61 eligible CPs and a total of 44,062 patients who underwent elective surgeries associated with CPs. The Poisson mixed model with an interrupted time-series analysis frame was applied to the patient-level data. This enabled a comparison of the adherence rate before and after CP implementation. Furthermore, we examined the effect of application or completion of CP on the adherence rate after implementation. Adherence to the antibiotic prophylaxis guideline substantially increased (incident rate ratio [IRR] 8.05; 95 confidence interval [CI] 2.64-24.55), compared with that before implementation. Following the implementation into the electronic entry system, we observed an improved adherence not only in CP completion but also in attempted CP execution (IRR of the executed but not completed cases 1.54; 95% CI 1.17-2.04; IRR of the executed and competed cases, 1.94; 95% CI 1.4-2.69). The implementation of CP into the electronic prescribing system was associated with a significant increase in the appropriate use of antibiotic prophylaxis among patients who underwent elective surgeries. The results suggest that a computer-assisted CP system for electronic health records could improve antibiotic adherence without significant expense.

Sustainable deimplementation of continuous pulse oximetry monitoring in children hospitalized with bronchiolitis: study protocol for the Eliminating Monitor Overuse (EMO) type III effectiveness-deimplementation cluster-randomized trial

BACKGROUND

Methods of sustaining the deimplementation of overused medical practices (i.e., practices not supported by evidence) are understudied. In pediatric hospital medicine, continuous pulse oximetry monitoring of children with the common viral respiratory illness bronchiolitis is recommended only under specific circumstances. Three national guidelines discourage its use for children who are not receiving supplemental oxygen, but guideline-discordant practice (i.e., overuse) remains prevalent. A 6-hospital pilot of educational outreach with audit and feedback resulted in immediate reductions in overuse; however, the best strategies to optimize sustainment of deimplementation success are unknown.

METHODS

The Eliminating Monitor Overuse (EMO) trial will compare two deimplementation strategies in a hybrid type III effectiveness-deimplementation trial. This longitudinal cluster-randomized design will be conducted in Pediatric Research in Inpatient Settings (PRIS) Network hospitals and will include baseline measurement, active deimplementation, and sustainment phases. After a baseline measurement period, 16-19 hospitals will be randomized to a deimplementation strategy that targets unlearning (educational outreach with audit and feedback), and the other 16-19 will be randomized to a strategy that targets unlearning and substitution (adding an EHR-integrated clinical pathway decision support tool). The primary outcome is the sustainment of deimplementation in bronchiolitis patients who are not receiving any supplemental oxygen, analyzed as a longitudinal difference-in-differences comparison of overuse rates across study arms. Secondary outcomes include equity of deimplementation and the fidelity to, and cost of, each deimplementation strategy. To understand how the deimplementation strategies work, we will test hypothesized mechanisms of routinization (clinicians developing new routines supporting practice change) and institutionalization (embedding of practice change into existing organizational systems).

DISCUSSION

The EMO trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, costs, and likelihood of sustained practice change using rigorously designed deimplementation strategies. The trial will also advance care for a high-incidence, costly pediatric lung disease.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05132322 . Registered on November 10, 2021.

A spadework for integrative medicine based critical pathways for facial palsy: Web-based survey from traditional Korean medicine doctors

Patients affected with facial palsy consult both traditional Korean medicine doctors and conventional medicine doctors. Considering that the optimal approach varies depending on the progress of the disease, there is a need for facial palsy management through integrated medical care. However, no critical pathway has been developed to manage facial palsy from an integrated medical perspective. The aims of this study were to (a) explore treatment utilization status and awareness for facial palsy; (b) understand possible traditional Korean medicine modalities; and (c) suggest interventions to be included in integrated medical service for treating facial palsy. Regarding existing papers in relevant field, draft of questionnaire was firstly established. Eight-person development committee was comprised and reviewed the draft and modified the items of questionnaire. As an independent committee, the authors of present study have rechecked the validity and reliability of modified items of questionnaire. A questionnaire was developed comprising 21 items, including demographic characteristics, clinical statement, recognition, and demands and directions to improve the quality of newly developing critical pathways. Using the services of the Association of Korean Medicine and Medistream, the questionnaire was sent via a web-based survey to traditional Korean medicine doctors. A total of 1017 valid questionnaires were collected from traditional Korean medicine doctors. Of the total doctors who responded, over 75% stated that they utilized integrated medical systems in various forms. Acupuncture, herbal medicine, and thermal therapy were presented as key traditional Korean medicine treatments to be included in the critical pathway for the establishment of integrated medical services. Conversely, corticosteroids, antivirals, and blood sugar management were chosen to be critical among conventional medical treatments. Considering the responses collected in the present study and the progressive nature of facial palsy, various interventions in both conventional and traditional Korean medicine services need to be included in relevant critical pathways. If the critical pathway developed based on the present study is established, relevant clinical practice guidelines could be made available in an integrated medical system.

Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis

Background

Clinical pathways (CPs) are usually expressed by means of workflow formalisms, providing health care personnel with an easy-to-understand, high-level conceptual model of medical steps in specific patient conditions, thereby improving overall health care process quality in clinical practice. From a standardized perspective, the business process model and notation (BPMN), a widely spread general-purpose process formalism, has been used for conceptual modeling in clinical domains, mainly because of its easy-to-use graphical notation, facilitating the common understanding and communication of the parties involved in health care. However, BPMN is not particularly oriented toward the peculiarities of complex clinical processes such as infection diagnosis and treatment, in which time plays a critical role, which is why much of the BPMN clinical-oriented research has revolved around how to extend the standard to address these special needs. The shift from an agnostic, general-purpose BPMN notation to a natively clinical-oriented notation such as openEHR Task Planning (TP) could constitute a major step toward clinical process improvement, enhancing the representation of CPs for infection treatment and other complex scenarios.

Objective

Our work aimed to analyze the suitability of a clinical-oriented formalism (TP) to successfully represent typical process patterns in infection treatment, identifying domain-specific improvements to the standard that could help enhance its modeling capabilities, thereby promoting the widespread adoption of CPs to improve medical practice and overall health care quality.

Methods

Our methodology consisted of 4 major steps: identification of key features of infection CPs through literature review, clinical guideline analysis, and BPMN extensions; analysis of the presence of key features in TP; modeling of relevant process patterns of catheter-related bloodstream infection as a case study; and analysis and proposal of extensions in view of the results.

Results

We were able to easily represent the same logic applied in the extended BPMN-based process models in our case study using out-of-the-box standard TP primitives. However, we identified possible improvements to the current version of TP to allow for simpler conceptual models of infection CPs and possibly of other complex clinical scenarios.

Conclusions

Our study showed that the clinical-oriented TP specification is able to successfully represent the most complex catheter-related bloodstream infection process patterns depicted in our case study and identified possible extensions that can help increase its adequacy for modeling infection CPs and possibly other complex clinical conditions.

Data-driven integrated care pathways: Standardization of delivering patient-centered care

Health care delivery in China is in transition from reactive and doctor-centered to preventative and patient-centered. The challenge for the reform is to account for the needs of unique individuals and local communities while ensuring efficiency and equity. This Viewpoint presents data-driven integrated care pathways as a potential solution to standardize patient-centered care delivery, highlighting five core aspects of the entire care journey for personalization by using real-time data and digital technology, and identifying three capabilities to support the uptake of data-driven design.

Development of a clinical pathway for behavioural and psychological symptoms of dementia care: A tool to improve resident outcomes

Objectives

Clinical pathways are used to improve the quality of care, reduce variation and maximise health or treatment outcomes in selected populations. The aim of this study was to develop a draft clinical pathway based on the best practice evidence for use in the management of behavioural and psychological symptoms of dementia (BPSD) in residential aged care facilities (RACFs).

Methods

The pathway was developed using the best practice evidence from clinical practice guidelines, operational guides and a systematic literature review. A multidisciplinary team of health professionals and researchers worked in an iterative process to contextualise the proposed pathway to local needs and context, and improve its clarity and user‐friendliness. The pathway was then re‐assessed for accuracy and adherence to the evidence.

Results

The draft pathway outlines processes for BPSD prevention, watchful waiting for mild‐to‐moderate BPSD, and specific interventions for severe BPSD. Ongoing risk assessment is required throughout, and non‐pharmacological options are first‐line interventions. Person‐centred care was found to be an important care component across all three phases. An instruction guide with colour‐coded flow charts was developed to assist staff with determining the best care and treatment for each person living with dementia. Feasibility testing is underway.

Conclusions

A draft clinical pathway based on clinical practice guidelines was developed to enhance the translation of evidence into practice for the management of BPSD, by nursing and clinical leaders in RACFs.

Use of Google Analytics to Explore Dissemination Activities for an Online CKD Clinical Pathway: A Retrospective Study

Background:

Data on dissemination strategies that generate awareness of clinical pathways for kidney care are limited.

Objective:

This study reports the application of Google Analytics to describe the reach and use of the Chronic Kidney Disease Pathway (CKD-P) using a multi-faceted dissemination strategy.

Design:

The design of this study is a retrospective descriptive study.

Setting:

This study was conducted in Alberta, Canada.

Patients:

Individuals who accessed the CKD-P Web site between November 5, 2014, and May 31, 2019.

Measurements:

Dissemination activities included print, electronic, in-person meetings, and a laboratory prompt. We used Google Analytics over a 5-year period to evaluate the following CKD-P Web site user metrics: number of sessions, pageviews, visit duration, user path, and bounce rate (when an individual visits a single page of the Web site and leaves the Web site without interacting with additional pages).

Methods:

We plotted dissemination activities alongside Web site metrics using control charts and described the data using means and percentages. We performed chi-square test for trends to evaluate year-over-year usage.

Results:

There were 83 294 users, 90 805 sessions, and 231 684 pageviews. The overall bounce rate was 45.7%. Each user had an average of 1.5 sessions and a session duration of 2 minutes and 8 seconds. There was a significant positive trend for total annual users (P = .008), new users (P = .009), number of sessions (P = .006), and pageviews per day (P = .016).

Limitations:

We were unable to confirm if users were primary care providers and if word-of-mouth dissemination among providers/researchers drove people to use the CKD-P.

Conclusions:

Google Analytics was a useful and accessible tool for evaluating CKD-P reach and use trends. It was challenging to identify how individual dissemination activities contributed to CKD-P reach; however, repeated dissemination appeared to play a role in increasing CKD-P use.

Trial registration:

Not applicable—observational study design.

Balancing standardisation and individualisation in transitional care pathways: a meta-ethnography of the perspectives of older patients, informal caregivers and healthcare professionals

BACKGROUND

Transitional care implies the transfer of patients within or across care settings in a seamless and safe way. For frail, older patients with complex health issues, high-quality transitions are especially important as these patients typically move more frequently within healthcare settings, requiring treatment from different providers. As transitions of care for frail people are considered risky, securing the quality and safety of these transitions is of great international interest. Nevertheless, despite efforts to improve quality in transitional care, research indicates that there is a lack of clear guidance to deal with practical challenges that may arise. The aim of this article is to synthesise older patients, informal caregivers and healthcare professionals' experiences of challenges to achieving high-quality transitional care.

METHODS

We used the seven-step method for meta-ethnography originally developed by Noblit and Hare. In four different but connected qualitative projects, the authors investigated the challenges to transitional care for older people in the Norwegian healthcare system from the perspectives of older patients, informal caregivers and healthcare professionals. In this paper, we highlight and discuss the cruciality of these challenging issues by synthesising the results from twelve articles.

RESULTS

The analysis resulted in four themes: i) balancing person-centred versus efficient care, ii) balancing everyday patient life versus the treatment of illness, iii) balancing user choice versus "What Matters to You", and iv) balancing relational versus practical care. These expressed challenges represent tensions at the system, organisation and individual levels based on partial competing assumptions on person-centred-care-inspired individualisation endeavours and standardisation requirements in transitional care.

CONCLUSIONS

There is an urgent need for a clearer understanding of the tension between standardisation and individualisation in transitional care pathways for older patients to ensure better healthcare quality for patients and more realistic working environments for healthcare professionals. Incorporating a certain professional flexibility within the wider boundary of standardisation may give healthcare professionals room for negotiation to meet patients' individual needs, while at the same time ensuring patient flow, equity and evidence-based practice.

Development of population-level colon cancer pathway concordance measures and association with survival

Clinical cancer pathways help standardize healthcare delivery to optimize patient outcomes and health system costs. However, population‐level measurement of concordance between standardized pathways and actual care received is lacking. Two measures of pathway concordance were developed for a simplified colon cancer pathway map for Stage II‐III colon cancer patients in Ontario, Canada: a cumulative count of concordant events (CCCE) and the Levenshtein algorithm. Associations of concordance with patient survival were estimated using Cox proportional hazards models adjusted for patient characteristics and time‐dependent cancer‐related activities. Models were compared and the impact of including concordance scores was quantified using the likelihood ratio chi‐squared test. The ability of the measures to discriminate between survivors and decedents was compared using the C‐index. Normalized concordance scores were significantly associated with patient survival in models for cancer stage—a 10% increase in concordance for Stage II patients resulted in a CCCE score adjusted hazard ratio (aHR) of death of 0.93, 95% CI 0.88‐0.98 and a Levenshtein score aHR of 0.64, 95% CI 0.60‐0.67. A similar relationship was found for Stage III patients—a 10% increase in concordance resulted in a CCCE aHR of 0.85, 95% CI 0.81‐0.88 and a Levenshtein aHR of 0.78, 95% CI, 0.74‐0.81. Pathway concordance can be used as a tool for health systems to monitor deviations from established clinical pathways. The Levenshtein score better characterized differences between actual care and clinical pathways in a population, was more strongly associated with survival and demonstrated better patient discrimination.

Defining clinical outcome pathways

Here, we propose a broad concept of 'Clinical Outcome Pathways' (COPs), which are defined as a series of key molecular and cellular events that underlie therapeutic effects of drug molecules. We formalize COPs as a chain of the following events: molecular initiating event (MIE) → intermediate event(s) → clinical outcome. We illustrate the concept with COP examples both for primary and alternative (i.e., drug repurposing) therapeutic applications. We also describe the elucidation of COPs for several drugs of interest using the publicly accessible Reasoning Over Biomedical Objects linked in Knowledge-Oriented Pathways (ROBOKOP) biomedical knowledge graph-mining tool. We propose that broader use of COP uncovered with the help of biomedical knowledge graph mining will likely accelerate drug discovery and repurposing efforts.