Priority Service Research Articles

Breadth and Depth of Patient and Caregiver Supportive Services in Community Oncology (WF-1803CD).

Providing supportive services to patients and their caregivers is essential to quality cancer care, yet the depth, availability, and infrastructure underlying these services remains unknown in community practice. We assessed these factors among practices within the National Cancer Institute Community Oncology Research Program (NCORP) to guide priorities for comprehensive supportive service(s) development and inform implementation of evidence-based interventions in clinical practice. Supportive care leaders at NCORP practices completed online surveys regarding availability of services to patients and caregivers within seven domains, service infrastructure (e.g., staffing, technology), and implementation recommendations for caregiver-specific services. Primary outcomes were the proportion of practices offering at least one service in each domain to both populations and the proportion offering caregiver training/education. Of the 103 participating practice groups, only 15.5% offered at least one service in each domain to both populations; 21.4% offered caregiver training/education. Psychological (83.5%) and spiritual/religious (75.7%) services were most widely available to both; health promotion (28.2%) services were least available to both. Services offered were largely available on-site with dedicated staff; caregiver-specific services were nearly always off-site and typically self-pay. Practices most often used the patient health portal to communicate with patients and caregivers (54.4%). Only 28.9% provided bilingual staff for services. Social workers (35.7%) and navigators (34.7%) were recommended to support caregiver services. To meet national recommendations for supportive service provision, practices should invest in caregiver education/training programs, expand health promotion programs, and increase interpretation services. Future interventions should leverage existing resources (e.g., recommended staff, patient portal).

Priorities to Support Care Partners of People Living With Dementia: Results of a Modified Delphi Process.

Objective: To determine priorities for services and policies that better support care partners of people living with dementia. Methods: A modified Delphi process engaged participants from organizations serving people living with dementia and care partners, focusing on historically and currently underserved communities. Eight thematic areas were identified. Participants (N = 40) responded to three surveys, generating ideas, rating each, and ranking priorities. Results: Each survey received 13-17 responses. Top ranked ideas were arrayed across six thematic areas: care partner supports; programs; funding; information; care coordination; and workforce development. Discussion: The Delphi process empowered participants to share knowledge, and respected their opinions. Anonymity removed power imbalances. The survey iterations blended qualitative and quantitative approaches, and built consensus. The Delphi invited the voices of diverse participants; all voices were weighed equally. This process could be extended to efforts to further engage dementia care partners, helping to value their voices in decision-making for services and policies.

Deep reinforcement learning based resource allocation for electric vehicle charging stations with priority service

The demand for public fast charging stations is increasing with the number of electric vehicles on roads. The charging queues and waiting times get longer, especially during the winter season and on holidays. Priority based service at charging stations can provide shorter delay times to vehicles willing to pay more and lower charging prices for vehicles accepting to wait more. Existing studies use classical feedback control and simulation based control methods to maintain the ratio of high and low priority vehicles’ delay times at the station’s target level. Reinforcement learning has been used successfully for real time control in environments with uncertainties. This study proposes a deep Q-Learning based real time resource allocation model for priority service in fast charging stations (DRL-EXP). Results show that the deep learning approach enables DRL-EXP to provide a more stable and faster response than the existing models. DRL-EXP is also applicable to other priority based service systems that act under uncertainties and require real time control.

Identification of problems of professional training of state civil servants on the basis of analysis of features of programs of additional professional education

Problem and purpose. The growth of geopolitical tension in modern conditions concerns all states of the world. The civil service, by definition, should identify, organise and implement all possible methods, ways and means for the development of the state as a whole, qualitative improvement of the state's position in the international arena. The complexity of the tasks to be solved, the variety of functions performed by the specialists of the state civil service, requires an understanding of the extent to which programmes for the training of state civil servants modern requirements and methodology of additional professional education, the priorities of the state civil service and the personal needs of students. Purpose of the study: to identify the problems of training of state civil servants in the process of implementation of programmes of additional professional education. Materials and methods. The research was based on the method of content analysis of VET educational programmes presented in the Federal Register of training for civil servants. 121 programmes of thirteen educational organisations were analysed with regard to priority areas. The data obtained in the course of the study were analysed using the following methods: intellectual analysis, cluster analysis, descriptive statistics, contextual analysis, graphical analysis. Results of the study. The study revealed the features of the implementation of additional professional education programmes in the civil service: in the period from 2021 to the first quarter of 2024, there was a trend towards an increase in the number of educational institutions submitting educational programmes to the federal register. 2024 there is a tendency to increase the number of educational institutions that submit educational programmes to the federal register. The formats of training are expanding. The analysis of the subject matter of programmes has shown their imbalance, their share varies from 4.5% to 38.6%. Conclusion. The heterogeneity of approaches to the structuring of VET programmes in different educational organisations makes it difficult to objectively assess their quality and can disorient and demotivate civil servants in choosing the relevant and necessary programme.

Women Veterans as caregivers: Characteristics and comparisons with women non-veterans using BRFSS

Veterans frequently need assistance because of injuries and chronic conditions, but also serve as caregivers to family and friends. Our aim was to describe the prevalence of characteristics and experiences of women veterans who serve as caregivers and compare them with non-veteran women. We measured caregiving prevalence caregiving among women veterans (N = 4,179) and women non-veterans (n = 160,307) using population-based data from 48 jurisdictions in the Behavioral Risk Factor Surveillance System from 2021 to 2022. We calculated weighted prevalence estimates and adjusted prevalence ratios [PR] for the association between veteran status and three health outcomes adjusted for age, race and ethnicity, and caregiving activities. Similar proportions (∼23%) of women veterans (n = 1,000) and non-veterans (n = 36,929) were caregivers. Among women caregivers, veterans were more likely than non-veterans to have had a chronic health condition (63 vs. 57%), disability (39 vs. 35%), and current frequent mental distress (27 vs. 22%), although all were quite prevalent in both groups. In adjusted models, the only significant difference was in current frequent mental distress among women veterans compared with non-veteran women caregivers age 18–44 (PR = 1.49, 95%CI: 1.20 − 1.85). Women veterans provide similar care as non-veteran women. However, younger women veteran caregivers more frequently experience mental distress, suggesting the importance of routine assessment of caregiving status to initiate support. This may be a result of military experiences (e.g., combat, trauma) and related comorbidities (e.g., traumatic brain injury, PTSD) that could enhance caregiving burden, making caregiver support, chronic disease self-management programs, and mental health services priorities for women veteran caregivers.

The health of older caregivers in Spain: a matter of age or a matter of care?

Abstract Introduction Informal care is crucial in Spain’s care system, with a rising number of caregivers aged 75 or older, yet studies on its health effects are lacking. This study aims to determine the differential impact of age and care-related variables on the health of older caregivers. Materials and methods This is a cross-sectional, national study with a sample of 3,870 informal caregivers from the Spanish 2020 Disability, Personal Autonomy and Dependency Survey. We performed a logistic regression where self-reported deterioration in caregiver health due to caregiving was the dependent variable and age (<75 vs. ≥ 75) was the independent variable. Caregivers’ sex, educational level (primary and lower or secondary and higher), income (<1,150 euros per month vs. ≥ 1,150), severe functional limitation of caregivers and care-receptors (yes or no), duration of care (< 8 years vs. ≥ 8 years), and daily hours of care were used as covariates. Results One in 6 caregivers was 75 or older (16,1%). Caregivers’ mean age was 58.4, and care-receptors’ 66.6 years. Women represented 63.0% of caregivers, and 42.8% of care-receptors. Up to 4.6% of caregivers had a severe limitation, and 43.7% of caregivers reported deterioration of their health due to caregiving. A greater perception of deterioration in caregiver health due to caregiving was associated with being 75 years or older (β = 0.34, p = 0.009). Covariates associated with caregivers’ health deterioration were being a woman (β = 0.77, p < 0.001), presence of severe limitation of care receptors (β = 0.58, p < 0.001), and increased daily hours of care (β = 0.01, p = 0.013). Caregivers’ severe limitation, level of education, income and years of care did not show a significant association with perception of health deterioration. Discussion Caregivers older than 75 years in Spain experience a key deterioration in their health associated with caregiving. This vulnerable population must be prioritized in health and social policies. Key messages • One out of 6 caregivers in Spain is aged 75 years or older. Caregiving impacts greatly in their health status. • Older caregivers is a vulnerable population that must be a priority for health and social services.

Service priority classification using machine learning

This article details a procedure for classifying service cases with various priority levels based on machine learning (ML). It accurately defines the priority level of each service case. The presence of imbalanced datasets in service cases poses a challenge for achieving reliable classification accuracy. To address this, the use of the synthetic minority over-sampling technique (SMOTE) was proposed as the method for balancing the datasets prior to applying the ML method. From these experimental results, an improvement in the precision of the learning process was observed, which led to better outcomes in the test sets. This improvement was measured using the efficiency metrics from the confusion matrix. The experiment involved 6,182 service cases, categorized into four levels: critical, serious, moderate, and low. These were based on test comparisons with other ML methods. The accuracy achieved in the test data was 94.37%. By employing a hybrid technique to address the imbalance in SMOTE and the support vector machine model, it was found to be more effective than the comparative term frequency-inverse document frequency model that was used in conjunction with cosine similarity, which achieved an evaluation score of 70.14%.

Enhancement of Marina Service Quality of Yacht Tourism in Taiwan: A Euclidean Distance of Importance-Performance Analysis

In spite of COVID-19 struck tourism industry, the trend of yachting tourism is steadily increasing and provides a way for the tourism industry to resume after the epidemic. Marinas, a vital component of yachting tourism, deeply effects the yacht owners’ satisfactions and the coastal destinations attraction. Since the marina industry in Taiwan is still in its early stages, this study aims to identify ideal service quality standards to enhance competitiveness. With a limited cohort of 69 yacht owners in Taiwan possessing yachts exceeding 20 gross register tonnage (GRT), insights from our research, which engaged perspectives from 50 yacht owners, provide valuable understanding into their satisfaction regarding marina services in Taiwan. As the first study to explore key factors of marina service experience among yacht owners, this study applies importance-performance analysis (IPA) and Euclidean distance to provide the development strategy and improvement priority of Taiwan marina service. Overall, the result from improving IPA technique which adopted Euclidean distance reveal that yacht owners generally thought that the improvement priority of marina service quality is sewage, bilge water, and oil sludge treatment facilities, fueling facilities, high-voltage shore power facilities, land storage space. It is noteworthy that marina managers should embark on improving marina physical facilities as development strategy which highlight the performance of marina service quality for yacht owners and the improvement in those facilities can be developed to either increase the marina competition or to resume tourism industry.

Comparative Analysis of the Relevance and Priority for Artificial Intelligence Tools, Services and Open Questions in the Hellenic, Argentinian and Canadian Parliaments

Comparative Analysis of the Relevance and Priority for Artificial Intelligence Tools, Services and Open Questions in the Hellenic, Argentinian and Canadian Parliaments

Establishing Quality Indicators and Implementation Priorities for Post-Stroke Aphasia Services Through End-User Involvement.

Currently, there are no agreed quality standards for post-stroke aphasia services. Therefore, it is unknown if care reflects best practices or meets the expectations of people living with aphasia. We aimed to (1) shortlist, (2) operationaliseand (3) prioritise best practice recommendations for post-stroke aphasia care. Three phases of research were conducted. In Phase 1, recommendations with strong evidence and/or known to be important to people with lived experience of aphasia were identified. People with lived experience and health professionals rated the importance of each recommendation througha two-round e-Delphi exercise. Recommendations were then ranked for importance and feasibility and analysed using a graph theory-based voting system. In Phase 2,shortlisted recommendations from Phase 1 were converted into quality indicators for appraisal and voting in consensus meetings. In Phase 3,priorities for implementation were established by people with lived experience and health professionals following discussion and anonymous voting. In Phase 1, 23 best practice recommendations were identified and rated by people with lived experience (n = 26) and health professionals (n = 81). Ten recommendations were shortlisted. In Phase 2,people with lived experience (n = 4) and health professionals (n = 17) reached a consensus on 11 quality indicators, relating toassessment (n = 2), information provision (n = 3),communication partner training (n = 3),goal setting (n = 1),person and family-centred care (n = 1)and provision of treatment (n = 1). In Phase 3,people with lived experience (n = 5) and health professionals (n = 7) identified three implementation priorities: assessment of aphasia,provision of aphasia-friendly informationand provision of therapy. Our 11 quality indicators and 3 implementation priorities are the first step to enabling systematic, efficientand person-centred measurement and quality improvement in post-stroke aphasia services. Quality indicators will be embedded in routine data collection systems, and strategies will be developed to address implementation priorities. Protocol development was informed by our previous research, which exploredthe perspectives of 23 people living with aphasia about best practice aphasia services. Individuals with lived experience of aphasia participated as expert panel members in our three consensus meetings. Wereceived support from consumer advisory networks associated with the Centre for Research Excellence in Aphasia Rehabilitation and Recovery and the Queensland Aphasia Research Centre.

An integrated expert recommender system approach to environmental service priorities in renewable energy

The purpose of this study is to analyze the investment success of renewable energy generation projects design. A novel model has been constructed for this purpose. At the first stage, collaborative filtering methodology is taken into consideration to complete missing evaluations. After that, M-SWARA based on QUSFSs with golden cut is used to compute the weights of these factors. Finally, the components of the service design are ranked by TOPSIS approach. The main contribution of the paper is that a new methodology (M-SWARA) has been created in this study by making improvements to SWARA. With the help of this new model, causal directions between the indicators can also be examined. Similarly, collaborative filtering methodology is taken into consideration to complete missing evaluations. In this process, the decision makers are allowed to leave the questions they wanted blank. This situation is considered as the superiority of the proposed model compared to many previous models in the literature. The findings indicate that cost is the most significant factor for the success of renewable energy investments because it gets the highest weight (.261). The ranking results also demonstrate that product is the most essential component of the service design of renewable energy investments. Therefore, solving the high-cost problem is of vital importance to increase these investments. First, renewable energy companies can reduce costs with more effective financial management. To carry out this process effectively, a finance department consisting of qualified personnel is needed. Thanks to this team, current situations in the financial markets will be better followed and this will play an important role in reducing costs.

Identifying Service, Research and Policy priorities for preventing the impacts of family adversity on children’s mental health: An Australian national resource allocation study with professional and lived experience experts

ObjectivesThe objective of this study was to develop Service, Research and Policy priorities to prevent the impact of family adversity on child mental health and determine comparative priorities of diverse stakeholders to those with lived experience of adversity. MethodsValue-weighting approach conducted in a staged process: (i) professionals and experts with lived experience from health, education, justice and social care sectors attended a national symposium to identify priorities for family adversity and mental health and (ii) a subsequent resource allocation survey gathered views from participants and external experts on symposium priorities. ResultsConsensus was reached on priorities. Service priorities included establishing intersectoral hubs for children and families and early childhood nurse home-visiting programs. Research priorities included scaling up evidence-based interventions and evaluating cross-sector, flexible funding models for services addressing childhood adversity. Policy priorities included developing evidence-based policies with evaluation and implementation plans and flexible funding models to support integrated care. ConclusionsOur results provide detailed and actionable clarity on next steps to address family adversities. Implications for Public HealthThe priorities call for a focus on cross-sectoral approaches to preventing or mitigating the effects of family adversity. The current Australian policy environment provides a timely opportunity to action the proposed interventions.

MS-GD-P: priority-based service deployment for cloud-edge-end scenarios

In cloud-edge-end scenarios, how to achieve rational resource allocation, implement effective service deployment, and ensure high service quality has become a hot research topic in academic domains. Service providers usually deploy services by considering the characteristics of different geographical regions, which helps to meet the diverse needs of users in different regions and optimize resource allocation and utilization. However, due to the widespread distribution of users and limited server resources, providing all types of services to users in every geographical region is not feasible. In addition, edge servers are prone to operational failures caused by software anomalies, hardware malfunctions, and malicious attacks, which will decrease service reliability. To address the problems above, this paper proposes a metric for service priorities based on user demands and regional characteristics for different geographical regions. Building upon this foundation, a Multi-Service Geographic region Deployment based on Priority (MS-GD-P) is proposed. This method takes user coverage and service reliability into consideration, which facilitates users’ needs for multiple services in different geographical regions. Experimental results on real datasets demonstrate that MS-GD-P outperforms baseline methods in user coverage and service reliability.

Efektivitas Pelayanan Publik dalam Pembuatan Paspor di Kantor Imigrasi Kelas II Non TPI Blitar

Immigration Office Class II Non TPI Blitar is an implementation in the field of immigration at the Regional Office of the Ministry of Law and Human Rights of East Java Province which is responsible to the Head of the Regional Office. Passport is a document that contains identity to enter the border of a country. In the implementation of passport making services at the Blitar Class II Non TPI Immigration Office, researchers found obstacles experienced by applicants such as the information provided was not clear, so the applicant had to return to the Blitar Class II Non TPI Immigration Office, because there was no delivery service for applicants who lived outside Blitar, the priority service room was underutilized due to lack of employees. Therefore, effectiveness in the implementation of public services is very necessary, because one of the requirements for implementing a program to improve the quality of public services. This study aims to analyze the making of passports at the Blitar Class II Non TPI Immigration Office. The method used in this research is descriptive qualitative method. Data collection techniques in this study used observation, interviews, and documentation methods. Public services in passport making at the Immigration Office Class II Non TPI Blitar show some positive results. The implementation of this program includes various services such as passport issuance in the office, out-of-office services, as well as special programs such as Sambang Haji and Sambang Sakit Services. However, there are several obstacles such as the lack of employees in the priority service room, unclear information, and instability in the Community Satisfaction Index (IKM).

Using Discrete-Event Simulation to Model Web-Based Crisis Counseling Service Operation: Evaluation Study.

According to the Organisation for Economic Co-operation and Development, its member states experienced worsening mental health during the COVID-19 pandemic, leading to an increase of 60% to 1000% in digital counseling access. Hong Kong, too, witnessed a surge in demand for crisis intervention services during the pandemic, attracting both nonrepeat and repeat service users during the process. As a result of the continuing demand, platforms offering short-term emotional support are facing an efficiency challenge in managing caller responses. This aim of this paper was to assess the queuing performance of a 24-hour text-based web-based crisis counseling platform using a Python-based discrete-event simulation (DES) model. The model evaluates the staff combinations needed to meet demand and informs service priority decisions. It is able to account for unbalanced and overlapping shifts, unequal simultaneous serving capacities among custom worker types, time-dependent user arrivals, and the influence of user type (nonrepeat users vs repeat users) and suicide risk on service durations. Use and queue statistics by user type and staffing conditions were tabulated from past counseling platform database records. After calculating the data distributions, key parameters were incorporated into the DES model to determine the supply-demand equilibrium and identify potential service bottlenecks. An unobserved-components time-series model was fitted to make 30-day forecasts of the arrival rate, with the results piped back to the DES model to estimate the number of workers needed to staff each work shift, as well as the number of repeat service users encountered during a service operation. The results showed a marked increase (from 3401/9202, 36.96% to 5042/9199, 54.81%) in the overall conversion rate after the strategic deployment of human resources according to the values set in the simulations, with an 85% chance of queuing users receiving counseling service within 10 minutes and releasing an extra 39.57% (3631/9175) capacity to serve nonrepeat users at potential risk. By exploiting scientifically informed data models with DES, nonprofit web-based counseling platforms, even those with limited resources, can optimize service capacity strategically to manage service bottlenecks and increase service uptake.

Modelling Analysis of Channel Assembling in CRNs Based on Priority Scheduling Strategy with Reserved Queue

In cognitive radio networks, channel assembling allows secondary users (SUs) to expand network capacity and improve spectrum utilization. Scheduling strategies only based on heterogeneous service classification cannot guarantee the delivery priority of vital elastic services in special scenarios such as emergency rescue. Therefore, a priority scheduling strategy with reserved queue (Ps-rq) is proposed in this work. A static factor is defined to classify SUs into elastic services and real-time services based on message type, while a dynamic factor is defined to differentiate high-priority elastic services based on information validity, message correlation and message size. The high-priority users in the interrupted elastic services are placed in the reserved queue to ensure its services. Accordingly, the scheduling algorithm and the dynamic channel access process is presented. A continuous-time Markov chain analysis is conducted and all possible transition states, trigger events, transition rates and transition conditions of the system starting from a general state are derived. Furthermore, evaluation indexes of system performance are obtained. Study cases and simulation results prove that the proposed strategy can enhance network capacity, reduce blocking probability and forced termination probability for secondary users, and notably enhance the performance of high-priority elastic services. In addition, we analyze the characteristics of Ps-rq through a comprehensive comparison with four other schemes. The experiment proves that the Ps-rq strategy can effectively improve the service quality of the vital elastic services on the basis of providing fair scheduling.

A study of a loss system with priorities

The Erlang loss formula, also known as the Erlang B formula, has been known for over a century and has been used in a wide range of applications, from telephony to hospital intensive care unit management. It provides the blocking probability of arriving customers to a loss system involving a finite number of servers without a waiting room. Because of the need to introduce priorities in many services, an extension of the Erlang B formula to the case of a loss system with preemptive priority is valuable and essential. This paper analytically establishes the consistency between the global balance (steady state) equations for a loss system with preemptive priorities and a known result obtained using traffic loss arguments for the same problem. This paper, for the first time, derives this known result directly from the global balance equations based on the relevant multidimensional Markov chain. The paper also addresses the question of whether or not the well-known insensitivity property of the Erlang loss system is also applicable to the case of a loss system with preemptive priorities, provides explanations, and demonstrates through simulations that, except for the blocking probability of the highest priority customers, the blocking probabilities of the other customers are sensitive to the service time distributions and that a larger service time variance leads to a lower blocking probability of the lower priority traffic.

Perencanaan Kegiatan Retensi Rekam Medis di Rumah Sakit Islam Jakarta Pondok Kopi

Medical record retention (shrinkage) is the reduction of archives through the process of sorting documents 5 years after the patient dies or the last date of treatment. This study aims to plan medical record retention activities at RSIJ Pondok Kopi to overcome the problem of file accumulation, improve the efficiency of medical record management, and support better health services. This study uses a qualitative descriptive method and is sourced from 4 informants consisting of the head of medical records and medical record officers, in attracting informants using purposive sampling techniques. In the initial observation, the Jakarta Islamic Hospital Pondok Kopi has not resumed retention of medical records for the last 4 years due to hospital policies regarding service priorities. The results of this study indicate that RSIJ Pondok Kopi already has adequate retention SOPs, but has not retained medical records since 2020. This has resulted in the accumulation of medical record files in the storage room. Based on the results of the study, it can be concluded that RSIJ Pondok Kopi needs to immediately implement medical record retention to overcome the problem of file accumulation. The retention activity plan was made as input for retention so that it can overcome the problems in the medical record unit due to not having medical record retention.

Development of a Resource for Health Professionals to Raise Advance Care Planning Topics During Kidney Care Consultations: A Multiple User-Centered Design

Rationale & ObjectivePlanning and delivering treatment pathways that integrate end-of-life care, frailty assessment and enhanced supportive care is a service priority. Despite this, people with kidney failure are less likely to have an advance care plan, and receive hospice and palliative care, compared to other chronic illness populations. This is linked to health professionals feeling unskilled initiating conversations around future treatment and care options. This article describes research underpinning the development of a guide for kidney health professionals discussing end-of-life and advance care planning options with people with kidney failure and family members. Study DesignThe study comprised two parts: an initial cross-sectional qualitative approach using in-depth interviews with older adults with kidney failure and (bereaved) carers, followed by resource development with input from multiple stakeholders. Setting & ParticipantsOlder adults with kidney failure, and (bereaved) carers, recruited from two renal units in the North of England, and via online advertisements with national UK based, kidney patient charities. Resource development included input from co-applicants, independent advisory committee, patient and public involvement team, multidisciplinary health professionals and academics in the UK and Denmark. Analytical ApproachThematic analysis was used to analyze the data. ResultsTwenty-seven people were interviewed: older adults with kidney failure (n=18), carers (n=5), bereaved carers (n=4). Five themes are described: the context within which end-of-life conversations take place, preferences for end-of-life treatment and care, family members’ role and needs in supporting people with kidney failure at the end-of-life, expectations and experience of dialysis treatment, beliefs and experiences of death and dying. LimitationsParticipants were mainly White, British, and receiving hemodialysis. ConclusionsPeople with (lived) experience of kidney failure informed a guide which aims to build upon health professionals existing skills and improve confidence having conversations about future treatment and care. Kidney teams have expressed interest implementing the guide in practice and within their broader communications training packages.

Cost-effectiveness of implementing performance-based financing for improving maternal and child health in Ethiopia.

Performance Based Financing (PBF) supports realization of universal health coverage by promoting bargaining between purchasers and health service providers through identifying priority services and monitoring indicators. In PBF, purchasers use health statistics and information to make decisions rather than merely reimbursing invoices. In this respect, PBF shares certain elements of strategic health purchasing. PBF implementation began in Ethiopia in 2015 as a pilot at one hospital and eight health centers. Prior to this the system predominantly followed input-based financing where providers were provided with a predetermined budget for inputs for service provision. The purpose of the study is to determine whether the implementation of PBF is cost-effective in improving maternal and child health in Ethiopia compared to the standard care. The current study used cost-effectiveness analysis to assess the effects of PBF on maternal and child health. Two districts implementing PBF and two following standard care were selected for the study. Both groups of selected districts share common grounds before initiating PBF in the selected group. The provider perspective costing approach was used in the study. Data at the district level were gathered retrospectively for the period of July 2018 to June 2021. Data from health service statistics were transformed to population level coverages and the Lives Saved Tool method used to compute the number of lives saved. Additionally for purpose of comparison, lives saved were translated into discounted quality-adjusted life years. The number of lives saved under PBF was 261, whereas number of lives saved under standard care was 194. The identified incremental cost per capita due to PBF was $1.8 while total costs of delivering service at PBF district was 8,816,370 USD per million population per year while the standard care costs 9,780,920 USD per million population per year. QALYs obtained under PBF and standard care were 6,118 and 4,526 per million population per year, respectively. The conclusion made from this analysis is that, implementing PBF is cost-saving in Ethiopia compared to the standard care. Due to lack of district-level survey-based data, such as prevalence and effects on maternal and child health, national-level estimates were used into the LiST tool.There may be some central-level PBF start-up costs that were not captured, which may have spillover effects on the existing health system performance that this study has not considered.There may be health statistics data accuracy differences between the PBF and non-PBF districts. The researchers considered using data from records as reported by both groups of districts.