Capacity Planning in Healthcare: Finding Solutions for Healthy Planning in Nursing Home Care

Moeke, Dennis; Bekker, René

doi:10.1007/978-3-030-59467-1_8

Cited by 3 publications

(7 citation statements)

References 30 publications

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“…A flexible and multiskilled workforce is often mentioned as an effective strategy for managing demand for services [ 22 ]. The emergence of multiple new roles for nurses in telecare services indicates the need for nurses to become flexible and be simultaneously skilled in several dimensions.…”

Section: Resultsmentioning

confidence: 99%

“…Our research has valuable implications for both academia and practice. This study addresses the need for empirical research on healthcare demand management, which has been raised by many [ 20 , 22 , 85 ] and met by very few (e.g., [ 86 , 87 ]). Questions have been raised about whether flexible and easier access to care, as offered by telecare services, and curbing demand for care can coexist [ 86 ].…”

Section: Discussionmentioning

confidence: 99%

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Impact of distance monitoring service in managing healthcare demand: a case study through the lens of cocreation

Enam

Dreyer

Boer

2022

BMC Health Serv Res

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Background There is a consensus among healthcare providers, academics, and policy-makers that spiraling demand and diminishing resources are threatening the sustainability of the current healthcare system. Different telemedicine services are seen as potential solutions to the current challenges in healthcare. This paper aims to identify how distance monitoring services rendered for patients with chronic conditions can affect the escalating demand for healthcare. First, we identify how distance monitoring service changes the care delivery process using the lens of service cocreation. Next, we analyze how these changes can impact healthcare demand using the literature on demand and capacity management. Method In this qualitative study, we explore a distance monitoring service in a primary healthcare setting in Norway. We collected primary data from nurses and general physicians using the semi-structured interview technique. We used secondary patient data collected from a study conducted to evaluate the distance monitoring project. The deductive content analysis method was used to analyze the data. Result This study shows that the application of distance monitoring services changes the care delivery process by creating new activities, new channels for interaction, and new roles for patients, general physicians, and nurses. We define patients’ roles as proactive providers of health information, general physicians’ roles as patient selectors, and nurses’ roles as technical coordinators, data workers, and empathetic listeners. Thus, the co-creation aspect of the service becomes more prominent demonstrating potential for better management of healthcare demand. However, these changes also render the management of demand and resources more complex. To reduce the complexities, we propose three mechanisms: foreseeing and managing new roles, developing capabilities, and adopting a system-wide perspective. Conclusion The main contribution of the paper is that it demonstrates that, although distance monitoring services have the potential to have a positive impact on healthcare demand management, in the absence of adequate managerial mechanisms, they can also adversely affect healthcare demand management. This study provides a means for practitioners to reflect upon and refine the decisions that they make regarding telemedicine deployment and resource planning for delivering care.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Impact of distance monitoring service in managing healthcare demand: a case study through the lens of cocreation

Enam

Dreyer

Boer

2022

BMC Health Serv Res

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“…The focus of this study is on establishing a blueprint for the shift schedule(s), as well as an operational planning concerning routes for care workers. With the framework of Moeke & Bekker ( 2020 ) as starting point, we provide specific methods for each step and verify its value using real-life data.…”

Section: Related Literaturementioning

confidence: 99%

“…Based on the recent work of Moeke & Bekker ( 2020 ), we apply a three-step framework for capacity planning in a nursing home context (see, Figure 1 ). More specifically, we identify the following steps: (1) workload evaluation, (2a) staffing, (2b) shift scheduling, and (3) rostering & tasks assignment.…”

Section: Conceptual Framework: a Three-step Approachmentioning

confidence: 99%

“…This development enhances data-driven decision-making and process improvement. Also, when it comes to capacity planning, nursing homes are starting to recognise data-driven decision-making as essential to improve their (future) operations (Moeke & Bekker, 2020 ). Still, in the current nursing home practice, decisions regarding the allocation of care workers are often addressed without a sound quantitative basis (Bekker et al, 2019 ; Moeke et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

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A three-step framework for capacity planning in a nursing home context

et al. 2022

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This paper presents a three-step conceptual framework that can be used to structure the care-related capacity planning process in a nursing home context. The proposed framework provides a sound practical vehicle to organise client-centred care without overstretching available capacity. Within this framework, an MILP for shift scheduling and a Genetic Algorithm (GA) for task-scheduling are proposed. To investigate the performance of the proposed framework, it is benchmarked against the current situation. The results show that considerable improvements can be achieved in terms of efficiency and waiting time. More specifically, it is shown that very modest waiting times can be achieved without exceeding available capacity, despite the fluctuations in care demand across the day.

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Team Size and Composition in Home Healthcare: Quantitative Insights and Six Model-Based Principles

Clapper,

ten Hove,

Bekker

et al. 2023

Healthcare

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The aim of this constructive study was to develop model-based principles to provide guidance to managers and policy makers when making decisions about team size and composition in the context of home healthcare. Six model-based principles were developed based on extensive data analysis and in close interaction with practice. In particular, the principles involve insights in capacity planning, travel time, available effective capacity, contract types, and team manageability. The principles are formalized in terms of elementary mathematical models that capture the essence of decision-making. Numerical results based on real-life scenarios reveal that efficiency improves with team size, albeit more prominently for smaller teams due to diminishing returns. Moreover, it is demonstrated that the complexity of managing and coordinating a team becomes increasingly more difficult as team size grows. An estimate for travel time is provided given the size and territory of a team, as well as an upper bound for the fraction of full-time contracts, if split shifts are to be avoided. Overall, it can be concluded that an ideally sized team should serve (at least) around a few hundreds care hours per week.

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Capacity Planning in Healthcare: Finding Solutions for Healthy Planning in Nursing Home Care

Abstract: Integrating organization of health services, worker wellbeing and quality of care 2020

Cited by 3 publications

References 30 publications

Impact of distance monitoring service in managing healthcare demand: a case study through the lens of cocreation

Impact of distance monitoring service in managing healthcare demand: a case study through the lens of cocreation

A three-step framework for capacity planning in a nursing home context

Team Size and Composition in Home Healthcare: Quantitative Insights and Six Model-Based Principles

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