High-quality Services Research Articles

A Content Analysis of Health Library Support for Australian Medical Training Programs

ABSTRACT Health libraries play a critical role in supporting medical training in Australia. Accreditation is an important means of ensuring a program of study and the education provider suitably equips trainees with the knowledge, skills and professional attributes necessary to practice in the profession. This study identifies a lack of consistency and specificity in Australian medical colleges accreditation requirements as they pertain to health libraries. The recommended accreditation standard developed in this study provides a benchmark for training providers that will ensure consistency of access to high-quality library collections, services and spaces for all medical trainees. Accreditation standards from 52 medical colleges and associations supporting Australian medical training programs were reviewed. Information extracted from accreditation documents was entered into a working text spreadsheet. Data was organized under three key categories: Collections, Services and Space. Additional categories were added to record the use of the noun Library and expectations for journal access. A data extraction tool was created in Microsoft Excel to note the requirements of each provider for libraries and collections, services and spaces. The results of the content analysis highlight a lack of consistency in accreditation providers’ expectations for library collections, services and spaces. Most providers (87% n = 45) required host organizations to provide access to collections. Requirements for library space were mandated by 54% of providers (n = 28). Less than 50% of providers (n = 22) specified library services as requirements. This content analysis highlights the role of health libraries in supporting medical education, research and evidence-based practice. It also reinforces the need for improved specificity, consistency and clarity in accreditation requirements for health libraries in post-graduate medical training. The recommended benchmark accreditation standard developed in this study is a step toward addressing these issues and ensuring equity of access to library services and facilities for all medical trainees in Australia.

An enhanced conventional neural network schema for structural class-based software fault prediction

ABSTRACT Malicious software detection is the most prominent process required by various industries to avoid server failure. It is required to detect malicious software accurately to avoid time and cost wastage. Various research works have been introduced earlier for the detection of malicious software. In the existing work Support Vector Machine (SVM) is introduced for malicious software detection. However, existing works cannot perform well where there are error modules in the software. It is addressed in this suggested study by developing Coupling and Cohesion Metrics-based Fault Detection (CCMFD). In this research work, structural measures are mainly examined which come under the cohesion measures and comprise deficient cohesion in approaches (LCOM), and Conceptual Coupling between Object Classes (CCBO). Failure situations and measures relating to information flow are used in other techniques. A high-quality service has a low coupling and a high cohesiveness. These extracted features will be given as input to the enhanced Conventional Neural Network (CNN) for software mistake forecasting. A complete study analysis is done in a Java simulator, indicating that the suggested approach tends to have superior fault prediction outcomes than the current method.

The Anatomic Pathology Hospitalist Model.

Challenges to staffing a high-quality frozen section service include consolidation of health systems and pathology practices, off-campus relocation of some pathology offices, growing numbers of stand-alone surgery centers, and subspecialization among pathologists and surgeons. To address these challenges, we developed a novel anatomic pathology hospitalist model with explicit emphasis in frozen section. To evaluate our anatomic pathology hospitalist program's impact on (1) frozen section staffing, (2) frozen-permanent diagnostic concordance, and (3) turnaround time. Frozen section staffing and performance data were collected for the 28-month period spanning July 1, 2021, to October 31, 2023. Outcomes were compared between hospitalists, nonhospitalists, and fellows. Hospitalists performed more frozen sections per month than nonhospitalists (median, 87 versus 17, respectively; P = .002). After implementation, nonhospitalists' average frozen section staffing obligation fell from 3.7 (30%) of 12.3 total service days per month to 2.8 (22%) of 12.6 total service days per month (P = .005), compared with hospitalists' average of 9.5 frozen section days (69%) of 13.7 total service days per month. Frozen-permanent concordance was marginally but significantly higher for hospitalists (4701 of 4744 blocks, 99.1%) than nonhospitalists (7259 of 7362 blocks, 98.6%; P = .02). Concordance did not correlate with pathologists' academic rank or subspecialization. Turnaround times were comparable for hospitalists, nonhospitalists, and fellows across multiple metrics. Our anatomic pathology hospitalists significantly reduced the frozen section obligations of nonhospitalist faculty, with a small but significant increase in frozen-permanent concordance and no substantial change in turnaround time.

Quality of antenatal care services received by women of reproductive age prior to delivery in selected public health facilities in the northern zone of Ghana

BackgroundOver the past two decades, antenatal care (ANC) coverage has increased in most settings across low- and middle-income countries, including Ghana. However, evidence shows that there is a need to focus on both access and quality to improve maternal and newborn health outcomes. We investigated ANC quality among public healthcare facilities in the northern region of Ghana.MethodsWe conducted a facility-based study involving 420 postpartum women, selected randomly from five public health facilities. We collected information on a set of prenatal services that respondents self-reported to have received during their most recent pregnancy. Women who received all the interventions assessed were considered to have received quality ANC. Using multilevel (mixed-effects) regression analysis, we identified the independent factors associated with ANC quality, with healthcare facility as the cluster variable.ResultsOf the 420 women, 31.2% (95% CI: 26.9, 35.8) received ANC services of high quality. ANC quality differed significantly by women’s background characteristics and ANC use. However, gestational age at first ANC and the number of follow-up visits before delivery were significantly associated with ANC quality: booking the first visit in the second or third trimester reduced the odds of receiving high-quality ANC compared to booking in the first trimester (aOR = 0.15, 95% CI: 0.07, 0.31, and aOR = 0.09, 95% CI: 0.01, 0.83, respectively). In contrast, achieving a minimum of eight ANC follow-ups before delivery increased the odds of receiving high-quality ANC compared to attaining fewer than eight visits (aOR = 4.82, 95% CI: 2.33, 9.99).ConclusionsA significant proportion of pregnant women in the study setting received suboptimal quality ANC during their most recent pregnancy. ANC quality was primarily associated with the timing of the first visit and the number of follow-up visits before delivery. Timely initiation of ANC and frequent follow-up visits will be crucial in the study’s setting for pregnant women to benefit from comprehensive ANC services.

A certificateless designated verifier sanitizable signature in e-health intelligent mobile communication system

With the widespread use of mobile communication and smart devices in the medical field, mobile healthcare has gained significant attention due to its ability to overcome geographical limitations and provide more efficient and high-quality medical services. In mobile healthcare, various instruments and wearable device data are collected, encrypted, and uploaded to the cloud, accessible to medical professionals, researchers, and insurance companies, among others. However, ensuring the security and privacy of healthcare data in the context of mobile networks has been a highly challenging issue. Certificateless signature schemes allow patients to conceal their respective privacy information for different sharing needs. Nevertheless, existing mobile healthcare data protection solutions suffer from costly certificate management and the inability to restrict signature verifiers. This paper proposes a certificateless designated verifier sanitizable signature for mobile healthcare scenarios, aiming to enhance the security and privacy of mobile healthcare data. This scheme enables the sanitization of sensitive data without the need for certificate management and allows for the specification of signature verifiers. This ensures the confidentiality of medical data, protects patient privacy, and prevents unauthorized access to healthcare data. Through security analysis and experimental comparisons, it is demonstrated that the proposed scheme is both efficient and effectively ensures data security and user privacy. Therefore, it is well-suited for privacy protection in mobile healthcare data.

The effectiveness of a knowledge translation intervention on the implementation of NEWS2 in nursing homes, a pragmatic cluster RCT

BackgroundImproving the uptake of relevant and reliable research is an important priority in long-term care to achieve sustainable and high-quality services for the increasingly older population.AimThe purpose was to assess the effectiveness of a tailored, adaptive and a multifaceted KT capacity program, relative to usual practice, on the implementation of National Early Warning Score 2 (NEWS2).MethodsThis study was carried out as a pragmatic cluster-randomized controlled trial. The capacity program consisted of an educational part to address implementation capacity gaps and a facilitation-upon-implementation part to address a relevant knowledge gap in nursing homes. A collective decision was made to address the challenge of early detection of clinical deterioration among nursing home residents, by implementing the (NEWS2) as clinical innovation.Public nursing homes in a Norwegian municipality (n = 21) with a total of 1 466 beds were eligible for inclusion. The study-period spanned over a 22-month period, including a 12-month follow-up.Data was extracted from the Electronic Patient Journal system and analyzed using multilevel growth model analysis.ResultsThe intervention had a large effect on the use of NEWS2 among care staff in intervention nursing homes, compared to the control group (standardized mean difference, d = 2.42). During the final month of the implementation period, residents in the intervention group was assessed with NEWS2 1.44 times (95% CI: 1.23, 1.64) per month, which is almost four times more often than in the control group (mean = 0.38, 95% CI: 0.19, 0.57). During the follow-up period, the effect of the intervention was not only sustained in the intervention group but there was a substantial increase in the use of NEWS2 in both the intervention (mean = 1.75, 95% CI: 1.55, 1.96) and control groups (mean = 1.45, 95% CI: 1.27, 1.65).ConclusionsThis tailored implementation strategy had a large effect on the use of NEWS2 among care staff, demonstrating that integrated knowledge translation strategies can be a promising strategy to achieve evidence-based care in the nursing home sector.Trial registrationISRCTN12437773. Registered 19/3 2020, retrospectively.

What it takes to develop self-confidence and competence in midwifery students for midwifery practice

BackgroundMidwifery practice is multidimensional and complex in supporting women's reproductive health. Midwives provide care through pregnancy, birth, and the puerperium and may extend to sexual and reproductive health. Midwifery education must develop self-confidence and competence within each midwifery student. This must be learned before registering as a midwife and entering midwifery practice. Little is known about how educational experiences influence midwifery students' confidence. AimThe aim of this study was to understand the educational experiences that influence self-confidence and competence development among midwifery students. Design and methodsA qualitative descriptive design was used in this study. Data were collected through seven focus group discussions with 37 midwifery students. The discussions were recorded and professionally transcribed. Data were analysed using thematic analysis. ResultsThe analysis resulted in four themes: (1) Understanding the concept of competence, (2) developing competence in midwifery practice, (3) obstacles to developing competence, and (4) the importance of self-confidence to be competent. The development of self-confidence and competence is gained through acquiring knowledge and skills, participating in research, undertaking clinical and simulated practice, attending seminars, and engaging in independent learning. ConclusionMidwifery students described how the increase in self-confidence can lead to an increase in competence, enabling the provision of high-quality midwifery services.

Analysis of artificial intelligence medical treatment for closed muscle skin nerve injury caused by aerobics training

In aerobics training, closed myocutaneous nerve damage needs to be paid attention to, especially high-intensity training may cause minor damage to muscles and nerves. With the help of AI medical technology and the understanding of molecular and cellular biomechanics, we can more accurately explore the mechanism of injury, such as the effects of nerve tensile stress and microenvironment changes on nerve regeneration. This helps to develop scientific rehabilitation methods, such as AI-assisted personalized training, neural regeneration technology, and real-time monitoring of training intensity to speed up athletes’ rehabilitation and reduce the risk of future injuries. Purpose: Aerobics training is very strict and requires high physical fitness of dancers. During long-term training, dancers can easily cause closed musculocutaneous nerve injury. Traditional medicine is difficult to guarantee the treatment effect of patients with musculocutaneous nerve injury. The use of artificial intelligence medicine for closed musculocutaneous nerve injury treatment can improve the treatment effect of aerobics training induced closed musculocutaneous nerve injury. Method: This article utilized artificial intelligence medicine for the treatment of musculocutaneous nerve injury, and used artificial intelligence technology to analyze patient imaging and other data to assist doctors in accurate diagnosis. Utilize intelligent algorithms to predict medication plans, reduce medication errors, and intelligently adjust the course of treatment based on the patient’s condition. In artificial intelligence healthcare, high-quality online medical services can be created through intelligent technology, providing convenient medical consultation for patients. Result: This article selected 200 patients with musculocutaneous nerve injury caused by aerobics training for grouping experiments. The average diagnostic accuracy of traditional medicine and artificial intelligence medicine were 84.2% and 95.6%, respectively. Conclusion: Artificial intelligence medicine can achieve medical informatization and intelligently analyze patients’ medical information, which helps to improve the accuracy of medical diagnosis for aerobics training injuries.

Efficient resource allocation in cloud computing environments using AI-driven predictive analytics

This paper proposes an innovative AI-driven approach for efficient resource allocation in cloud computing environments using predictive analytics. The study addresses the critical challenge of optimizing resource utilization while maintaining high quality of service in dynamic cloud infrastructures. A hybrid predictive model combining XGBoost and LSTM networks is developed to forecast workload patterns across various time horizons. The model leverages historical data from a large-scale cloud environment, encompassing 1000 servers and over 52 million data points. A dynamic resource scaling algorithm is introduced, which integrates the predictive model outputs with real-time system state information to make proactive allocation decisions. The proposed framework incorporates advanced techniques such as workload consolidation, resource oversubscription, and elastic resource pools to maximize utilization efficiency. Experimental results demonstrate significant improvements in key performance indicators, including increasing resource utilization from 65% to 83%, reducing SLA violation rates from 2.5% to 0.8%, and enhancing energy efficiency, with PUE improving from 1.4 to 1.18. Comparative analysis shows that the proposed model outperforms existing prediction accuracy and resource allocation efficiency methods. The study contributes to the field by presenting a comprehensive, AI-driven solution that addresses the complexities of modern cloud environments and paves the way for more intelligent and autonomous cloud resource management systems.

ISO Standards in Healthcare Organizations: Research Evolution and Trends from a Bibliometric Analysis

This study provides an overview of trends and evolution in International Organization for Standardization (ISO) implementation in healthcare over the past three decades, useful for researchers, practitioners, and policymakers in the sector. As an additional contribution, we propose the NU-index, which allows the evaluation of authors’ scientific output in a comprehensive way that will be valuable for researchers, institutions, and funding agencies seeking to assess researcher performance more accurately and understandably. A bibliometric analysis of 476 scientific articles from the Scopus Database was conducted, examining the scientific output, key authors, high-impact journals, and frequent keywords using VOSviewer, Bibliometrix library, and statistical analysis. Results reveal a significant increase in publications on ISO standards in healthcare since 2009, particularly in areas such as telemedicine, artificial intelligence, and information security. The emergence of ISO 11073 (health informatics) and ISO 13606 (electronic health records) highlights a growing trend towards information and communication technologies. Despite reported implementation barriers, such as lack of top management commitment and associated costs, adoption of these standards is increasing due to the demand for high-quality healthcare services and the need to comply with regulatory requirements.

Dual-Channel Supply Chain of Agricultural Products under Centralised and Decentralised Decision-Making

The rise of rural e-commerce, accelerated by the COVID-19 pandemic, has driven agricultural development, resulting in a dual-channel model that combines offline supermarket docking with online e-commerce direct sales. Furthermore, given the perishable nature of most agricultural products, consumers exhibit a preference for high-quality logistics services. This paper analyses the dynamics of the agricultural supply chain, beginning with the “leading enterprises + farmers” production mode, and establishes two optimal decision-making models for online and offline dual-channel agricultural supply chains, incorporating logistics service levels. The first model considers centralised decision-making, where leading agricultural producers and community superstores make decisions simultaneously, aiming to maximise the overall profit of the supply chain. The second model addresses decentralised decision-making in which the producer, as the dominant player in a Stackelberg game, anticipates the reactions of retailers and sets the wholesale price, online sales price, and online logistics service level accordingly. Retailers, as followers, then determine the offline sales price and offline logistics service level based on the producer’s decisions. Finally, we conduct a sensitivity analysis of the proposed models. Our findings reveal that as consumer focus on logistics service levels increases, the overall profit of the supply chain improves, and as the unit logistics cost corresponding to the level of logistics service increases, the marginal benefits of decreasing profit brought about by the increase in unit logistics cost also decrease.

Economics of Palliative Care & Evaluation of Alternate Mode through Integrated Palliative Care Services by an Inclusive Cost Effective Model

The necessity for equitable access to palliative care in Tamil Nadu, where approximately 7 lakh patients require such services annually, remains pressing. Despite the availability of advanced medical technologies and highly qualified specialists, only a small fraction of patients receive the required palliative care due to financial and systemic barriers. This article explores the economic implications of palliative care, highlighting the exorbitant costs associated with allopathic treatments and the ethical challenges faced by clinicians. It also underscores the financial viability of integrating homoeopathic remedies into palliative care, given their significantly lower costs and fewer side effects. A comprehensive approach to palliative care that includes both conventional and homoeopathic medicine is proposed to improve accessibility and affordability. The article recommends a multidisciplinary strategy, emphasizing partnerships between public and private sectors, expanded health insurance coverage, community and family support, and enhanced training and education for healthcare professionals. Additionally, it calls for increased public awareness and ongoing research to demonstrate the economic and clinical benefits of integrated palliative care models. The integration of homoeopathy is particularly emphasized as a cost-effective, patient-centered approach that can improve quality of life for patients. The article concludes with a call for systemic changes to implement inclusive, high-quality palliative care services throughout Tamil Nadu.

Crisis Management In Public Health: Responding To Emergencies And Disasters

The government has a lot of chances and challenges in the twenty-first century to improve public health and provide citizens with higher-quality services. Generally speaking, administrative officers oversee and carry out a variety of government activities at the local level. They are exposed to a variety of citizen-facing issues as well as the difficulties in carrying out ground-level project execution. They regularly handle a variety of crises. Pandemics, natural disasters, and any other scenario involving law and order present a serious challenge for the government. Officers in charge of public health services handle emergencies on the front lines. Communication, scenario assessment, and teamwork are essential for crisis management to be effective. Team procedures improve crisis management's responsiveness, velocity, and effectiveness. The brief duration of crisis situations means that little time remains for planning. Therefore, public servants need to be proactive and flexible enough to handle the situation. According to this work, an effort will be made to investigate the variables and how they interact to affect the government sector's ability to manage crises effectively as well as the interactions between the variables affecting the quality of e-governance services in public health administration.

Analisis Pengaruh Kualitas Pelayanan dan Kualitas Produk Terhadap Kepuasan Konsumen Produk Velg HSR di Alpha Racing Toko Velg Ban dan Sporing Mobil Kab. Karawang

The aim of this research is to find out how consumer satisfaction is influenced by product quality and service quality of HSR wheel products at the Alpha Racing Tire and Car Spring Wheel Shop, Karawang Regency. Data was collected through a survey using a questionnaire to consumers who had used HSR wheel products at the shop. Linear regression analysis is used to test the relationship between the independent variables (service quality and product quality) and the dependent variable (consumer satisfaction). Consumer satisfaction with HSR wheel items is significantly influenced by the quality of the product and the quality of the service provided, according to research findings. The research results show that the coefficient of determination (R Square) test results are zero point five two four, which shows that around fifty-two point four percent of the variability in consumer satisfaction can be explained by service quality and product quality. These findings highlight the importance of high quality services and products in meeting consumer expectations and satisfaction in the auto wheel industry. There is also a discussion of management consequences and recommendations for further research.

Strategi Personal selling dalam Komunikasi Pemasaran: Upaya Meningkatkan Brand awareness di Production House Tryma Creative

The marketing strategy paradigm shift from conventional to digital has brought significant changes to the economic sector. The use of digital platforms as a marketing tool causes competition between companies to become increasingly fierce. To survive and develop, companies need to have an effective marketing communications strategy to increase brand awareness. Brand awareness is one of the key factors influencing consumer purchasing decisions; The higher the brand awareness of a product or service, the more likely consumers are to choose it. This research aims to explore personal selling strategies in marketing communications at the Tryma Creative Production House in order to increase brand awareness. The research method used is qualitative with a descriptive approach. Integrated Marketing Communications (IMC) theory is used as a framework for understanding and analyzing the strategies implemented. The research results show that the personal selling strategy used by Tryma Creative includes: 1) Conducting face-to-face meetings or via Zoom to build personal relationships with clients, 2) Providing high-quality service at the initial meeting to give a positive and professional impression, and 3) Utilizing communication via social media and WhatsApp to maintain continuous interaction with clients. This approach has been proven to significantly increase Tryma Creative's brand awareness, making the company better known and trusted by consumers. These findings provide important insights for other companies looking to optimize their personal selling strategies in the digital era.

Past trends and future projections of palliative care needs in Chile: analysis of routinely available death registry and population data

BackgroundThe number of people with palliative care needs is projected to increase globally. Chile has recently introduced legislation for universal access to palliative care services for patients with severe and terminal illnesses, including non-cancer conditions. We aimed to estimate the number of people affected by serious health-related suffering and need for palliative care in Chile to 2050.MethodsWe used data on all deaths registered in Chile between 1997-2019 and population estimates for 1997–2050. We used Poisson regression to model past trends in causes of death adjusted by age, sex and population estimates, to project the number of deaths for each cause from 2021 to 2050. We applied the Lancet Commission on Palliative Care and Pain Relief weights to these projections to identify decedents and non-decedents with palliative care needs.ResultsPopulation palliative care needs in Chile are projected to increase from 117 (95% CI 114 to 120) thousand people in 2021 to 209 (95% CI 198 to 223) thousand people in 2050, a 79% increase (IRR 1.79; 95% CI 1.78–1.80). This increase will be driven by non-cancer conditions, particularly dementia (IRR 2.9, 95% CI 2.85–2.95) and cardiovascular conditions (IRR 1.86, 95% CI 1.83–1.89). By 2050, 50% of those estimated to need palliative care will be non-decedents (not expected to die within a year).ConclusionsChile will experience a large increase in palliative care needs, particularly for people with dementia and other non-cancer conditions. Improved availability of high-quality services, expanded clinician training and new sustainable models of care are urgently required to ensure universal access to palliative care.

Pengaruh Store Atmosphere dan Kualitas Pelayanan terhadap Kepuasan Konsumen di Leng Coffee, Pekanbaru

A comfortable and safe store atmosphere, coupled with excellent, high-quality service, are important factors that contribute to consumer satisfaction. Leng Coffee Pekanbaru, has strategically developed a safe and pleasant store atmosphere, and has implemented the best service which of course not only meets but also exceeds consumer expectations, as a strategy to face intense business competition. This research aims to assess the influence of store atmosphere and service quality on consumer satisfaction at Leng Coffee Pekanbaru. This research uses a descriptive statistical approach and quantitative statistics with an explanatory research model. The sample consisted of 100 respondents selected through the incidental sampling method. The main research instrument used was a questionnaire. The results of this research found that store atmosphere and service quality have a positive influence on consumer satisfaction both partially and simultaneously at Leng Coffee Pekanbaru.

Food Safety Management System (FSMS): An Analysis of Restaurant Certificate Schemes in Malaysia

Customers of restaurants encounter some degree of uncertainty or risk due to their inability to evaluate the food or service qualities received before or after meal consumption. The Food Safety Management System (FSMS) certification schemes are intended to reduce the incidence of foodborne illnesses in Malaysia and to be used as a communication instrument to address the issue of information asymmetry. This investigation investigates the diverse FSMS certification programs that are accessible to food establishments, with a particular emphasis on restaurant operations in Malaysia. The study is dedicated to the identification of the concept of various FSMS certificate schemes that are designed and implemented in Malaysian restaurant operations. It also discusses the fundamental concept of the role differences of each FSMS certificate scheme that is obtained by numerous restaurant operations in Malaysia to communicate with potential customers. A content analysis was conducted on ten independent Malaysian-owned restaurants that had obtained and disclosed their FSMS certifications online (i.e., through their official website or social media account) to the public. All participating restaurant premises believe food safety certification through appropriate authorities is crucial, particularly in the context of the provision of information regarding sanitation, safety, and nutrition to guarantee high food quality standards and service delivery. FSMS eliminates the knowledge asymmetry between producers and consumers and demonstrates that a certified party adheres to a recognised standard. This investigation suggested that the Food Safety Management System (FSMS) should function as more than merely a mechanism for guaranteeing the safety and quality of food for consumers. It contributes to the establishment of client trust and confidence in the restaurant and improves the image of food businesses.

Proactive Personality and Caring Behavior of Clinical Nurses: A Moderated Mediation Model of Emotional Intelligence and Disgust Sensitivity.

The aims of the research were to investigate the mediating effect of emotional intelligence and the moderating effect of disgust sensitivity on the relationship between proactive personality and caring behavior among clinical nurses. A cross-sectional design while adhering to STROBE guidelines was used for this study. Three hundred ninety-three purposely selected nurses from three tertiary general hospitals completed an online survey. Measures included proactive personality, emotional intelligence, disgust sensitivity, and caring behavior. The findings showed that proactive personality positively predicted nurses' caring behavior, and that emotional intelligence played a mediating role in the relationship between proactive personality and caring behavior. Disgust sensitivity indirectly and negatively moderated the impact of proactive personality on nurses' caring behavior mainly in the second half of this moderated relationship. The findings underscore that the nursing managers may consider incorporating emotional intelligence topic in practical nursing skills training and improving nurses' ability to control their disgust sensitivity can improve their professional behavior, thus to provide patients with high-quality nursing services.

Self-reported follow-up care needs can be met in both facility and self-managed abortion: Evidence from low- and middle-income countries

ObjectivesTo understand in-facility follow-up care-seeking behavior among both people who self-managed medication abortions and those who obtained facility-managed care in low-and-middle-income countries. We explore factors that contribute to meeting individual self-reported follow-up care needs, core to person-centered care. Study designWe conducted a qualitative, codebook thematic analysis of 67 in-depth interviews conducted with people who self-managed medication abortions or obtained facility-managed medication abortion care. We first classified individuals as having their follow-up care needs met (not seeking care when the participant felt confident that additional care was not warranted or desired or receiving care if it was desired) or not. Our a priori analytic domains came from the Anderson model of health services utilization - predisposing, enabling, or need factors (perceived and evaluated need for health services) that contributed to having follow-up care needs met or not. We also describe emergent themes within each domain. ResultsMost participants (n=59, 88%) had their follow-up care needs met; half (n=33, 49%) sought follow-up care in a facility. Prior birth or abortion experiences emerged as predisposing factors for having follow-up care needs met. Having accompaniment support (from activists or hotlines who provide abortion guidance outside of clinical settings), knowing what to expect, and information sources were key enabling factors for having follow-up care needs met. Need factors included flexible follow-up care guidelines. Those who did not have their follow-up care needs met described predisposing negative health system experiences; enabling factors including health system challenges, stigma from providers, and legal risk; and need factors of required follow-up care guidelines. ConclusionsMedication abortion follow-up care experiences are diverse, and individual needs can be met both in and outside of health facilities. Understanding prior experiences, enabling accompaniment support, and considering flexible follow-up care guidelines can support meeting individual follow-up care needs, which is essential to person-centered abortion care. ImplicationsFollow-up care needs, essential to ensuring access to high-quality abortion services, can be met in both self-managed and in-facility medication abortion models. Policies that require follow-up care when it is not needed or desired by the person can reinforce ideas that self-managed abortion is not safe or effective, despite existing evidence.