Designing and scheduling a multi-disciplinary integrated practice unit for patient-centred care

Relational coordination in value-based health care

BACKGROUND

An important element of value-based health care (VBHC) is interprofessional collaboration in integrated practice units (IPUs) for the delivery of the complete cycle of care. High levels of interprofessional collaboration between clinical and nonclinical staff in IPUs are assumed rather than proven. Factors that may stimulate interprofessional collaboration in the context of VBHC are underresearched.

PURPOSE

The aim of this study was to examine relational coordination (RC) in VBHC and its antecedents.

APPROACH

A questionnaire was used to examine the association of both team practices and organizational conditions with interprofessional collaboration in IPUs. Gittell's Relational Coordination Survey was drawn upon to measure interprofessional collaboration by capturing the relational dynamics in coordinated working. The questionnaire also included measures of team practices (team meetings and boundary spanning behavior) and organizational conditions (task interdependence and time constraints).

RESULTS

The number of different professional groups participating in team meetings is positively associated with RC in IPUs. Boundary spanning behavior, task interdependence, and time constraints are not associated with RC.

CONCLUSIONS

In IPUs, the diversity within interprofessional team meetings is important for establishing high-quality communication and relationships.

PRACTICE IMPLICATIONS

Hospital managers should prioritize facilitating and encouraging shared meetings to enhance RC levels among professional groups in IPUs.

A Model for Evaluating Total Costs of Care and Cost Savings of Specialty Condition-Based Care for Hip and Knee Osteoarthritis in an Integrated Practice Unit

OBJECTIVES

The viability of specialty condition-based care via integrated practice units (IPUs) requires a comprehensive understanding of total costs of care. Our primary objective was to introduce a model to evaluate costs and potential costs savings using time-driven activity-based costing comparing IPU-based nonoperative management with traditional nonoperative management and IPU-based operative management with traditional operative management for hip and knee osteoarthritis (OA). Secondarily, we assess drivers of incremental cost differences between IPU-based care and traditional care. Finally, we model potential cost savings through diverting patients from traditional operative management to IPU-based nonoperative management.

METHODS

We developed a model to evaluate costs using time-driven activity-based costing for hip and knee OA care pathways within a musculoskeletal IPU compared with traditional care. We identified differences in costs and drivers of cost differences and developed a model to demonstrate potential cost savings through diverting patients from operative intervention.

RESULTS

Weighted average costs of IPU-based nonoperative management were lower than traditional nonoperative management and lower in IPU-based operative management than traditional operative management. Key drivers of incremental cost savings included care led by surgeons in partnership with associate providers, modified physical therapy programs with self-management, and judicious use of intra-articular injections. Substantial savings were modeled by diverting patients toward IPU-based nonoperative management.

CONCLUSIONS

Costing models involving musculoskeletal IPUs demonstrate favorable costs and cost savings compared with traditional management of hip or knee OA. More effective team-based care and utilization of evidence-based nonoperative strategies can drive the financial viability of these innovative care models.

Operating Room Performance Optimization Metrics: a Systematic Review

Literature proposes numerous initiatives for optimization of the Operating Room (OR). Despite multiple suggested strategies for the optimization of workflow on the OR, its patients and (medical) staff, no uniform description of 'optimization' has been adopted. This makes it difficult to evaluate the proposed optimization strategies. In particular, the metrics used to quantify OR performance are diverse so that assessing the impact of suggested approaches is complex or even impossible. To secure a higher implementation success rate of optimisation strategies in practice we believe OR optimisation and its quantification should be further investigated. We aim to provide an inventory of the metrics and methods used to optimise the OR by the means of a structured literature study. We observe that several aspects of OR performance are unaddressed in literature, and no studies account for possible interactions between metrics of quality and efficiency. We conclude that a systems approach is needed to align metrics across different elements of OR performance, and that the wellbeing of healthcare professionals is underrepresented in current optimisation approaches.

Patient-centered Care and Integrated Practice Units: Embracing the Breast Care Continuum

Patient-centered care is a health care approach optimized for the needs of the patient. As patients have sought more autonomy in recent years, this model has been more frequently adopted. Breast radiologists aspiring to advance patient-centered care should seek greater ownership of the breast diagnostic imaging and intervention workflows, helping their patients navigate the complex breast care landscape with patients' preferences taken into account. Applying this approach to breast radiology will increase patient satisfaction and compliance while also limiting wasted health care dollars, unnecessary diagnostic delays, and overall confusion. Herein, the benefits of patient-centered breast radiology are discussed, and numerous suggestions and case examples are provided to help readers reshape their practice toward the priorities of their patients.

Integrated practice units present an opportunity over siloed survivorship care settings

Given the rapidly rising cancer burden in the USA, the need to innovate survivorship care for oncology patients is rising rapidly. The current body of empirical evidence in survivorship care has focused on care provided by general practitioners (GP) and specialists/surgeons (SS). In particular, current evaluations address cost of care, cancer recurrence, quality of life, and overall survival of patients, with results indicating no statistically significant differences in GP- and SS-led care models and little emphasis on the broader characteristics of care settings. We fill this gap in survivorship care by introducing a perspective on the potential for holistic care delivery with a multidisciplinary team approach at integrated practice units (IPUs). Additionally, we propose a comprehensive examination of survivorship care across GP-, SS-, and IPU-led settings to provide researchers and practitioners with solid ground to determine the optimal survivorship care model, considering four key characteristics: (1) operating mode and skills, (2) cost and accountability of care, (3) health outcome measurement, and (4) workflow and scheduling.

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.

[Integrated care concepts and multidisciplinary process chains in a radiological context]

Modern patient-centered and cost-efficient care concepts in hospitals require the mapping of multidisciplinary process chains into clinical pathways. Clinical decision support systems and operations research methods use algorithms to classify patients into homogeneous groups and to model a complete clinical pathway for scheduling individual procedures. An improvement of the economic situation of the care facility can be achieved through improved resource utilization, reduced patient waiting times and a shortening of the length of stay. The interdisciplinary use of centrally stored interoperable information and comprehensive care management via information technology (IT) services lay the foundation for the dissolution of traditional IT system architectures in medicine and the development of flexibly integrable modern system platforms. New IT approaches such as the semantically standardized definition of procedures and resource properties, the use of clinical decision support systems and the use of service-oriented system architectures form the basis for the deep integration of radiology services into comprehensive interdisciplinary care concepts.

Applying Discrete Event Simulation to Reduce Patient Wait Times and Crowding: The Case of a Specialist Outpatient Clinic with Dual Practice System

Long wait times and crowding are major issues affecting outpatient service delivery, but it is unclear how these affect patients in dual practice settings. This study aims to evaluate the effects of changing consultation start time and patient arrival on wait times and crowding in an outpatient clinic with a dual practice system. A discrete event simulation (DES) model was developed based on real-world data from an Obstetrics and Gynaecology (O&G) clinic in a public hospital. Data on patient flow, resource availability, and time taken for registration and clinic processes for public and private patients were sourced from stakeholder discussion and time-motion study (TMS), while arrival times were sourced from the hospital’s information system database. Probability distributions were used to fit these input data in the model. Scenario analyses involved configurations on consultation start time/staggered patient arrival. The median registration and clinic turnaround times (TT) were significantly different between public and private patients (p < 0.01). Public patients have longer wait times than private patients in this study’s dual practice setting. Scenario analyses showed that early consultation start time that matches patient arrival time and staggered arrival could reduce the overall TT for public and private patients by 40% and 21%, respectively. Similarly, the number of patients waiting at the clinic per hour could be reduced by 10–21% during clinic peak hours. Matching consultation start time with staggered patient arrival can potentially reduce wait times and crowding, especially for public patients, without incurring additional resource needs and help narrow the wait time gap between public and private patients. Healthcare managers and policymakers can consider simulation approaches for the monitoring and improvement of healthcare operational efficiency to meet rising healthcare demand and costs.

Can technology optimise the pre-operative pathway for elective hip and knee replacement surgery: a qualitative study

BACKGROUND

An ageing population has resulted in a rise in the number of hip and knee replacement surgeries in the UK. The pre-operative pathway is plagued with issues causing long delays and cancellations. Virtual healthcare technologies have a growing evidence base to help solve these issues. One problem of implementing these technologies is the resistance to change mentality from healthcare professionals. By getting their opinions on the place of these technologies within the pre-operative pathway, a united front can be formed to help deliver change.

METHODS

Sixteen semi-structured interviews were conducted with key stakeholders within the orthopaedic pre-operative pathway at Imperial College Healthcare NHS Trust. General topics included the different technologies that could be used within the pathway, their uses and associated benefits and problems. Interviews were audio-recorded, before being manually transcribed and then analysed to form categories and themes.

RESULTS

Various uses, benefits and problems were identified by healthcare professionals for each modality of technology. E-forms were seen as a high reward, low-risk intervention. Remote patient monitoring and teleconsultations had their bonuses, but feasibility was a primary concern. Web-based interventions were seen as an intervention of the past, whereas virtual reality was seen as perhaps being ahead of its time. M-health was very positively viewed due to its all-encompassing nature. Digital illiteracy emerged as a consistent problem for most technologies.

CONCLUSIONS

Current literature, the results from this study and technology trends within society highlight both M-health and E-forms as the 2 most promising virtual healthcare technologies for use in the pre-operative pathway for orthopaedics. Areas such as pre-operative assessment, triaging and prehabilitation are prime candidates for virtual intervention. Future research should also consider including patient opinions on any proposed interventions, as well as taking into account barriers to implementation.