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Family violence is a significant social and public health problem. In 2015 a Royal Commission into Family Violence was established in Victoria, Australia, following a number of family violence deaths that received a high coverage in the media. The commission findings were released in 2016. These emphasised the significant physical and psychological harm that is caused by family violence, and that this has wide ranging community impacts. Among the Commission's 227 recommendations a number pertained specifically to improving the response of the healthcare system, with a whole-of-hospital model for responding to family violence recommend-ed for all public hospitals.

Royal Melbourne Hospital (RMH) received a state government grant as part of the SHRFV project. RMH was formally partnered with Tweddle Child and Family Health Service and Dental Health Services Victoria, and also worked with associated service NorthWestern Mental Health, as part of the project. This document outlines the RMH Family Violence Training Framework, a whole-of-hospital transformation change project designed to implement Recommendation 95 from the Royal Commission. All funded services were encouraged to adapt the SHRFV project model to suit the local environment of their health service. This document outlines the RMH approach. RMH specifically focused on using an evidence based research and evaluation framework with a focus on in-depth training, underpinned by a clinical champions network.

Sexually transmitted infections (STIs) can be transferred from one person to another through sexual contact. STIs lead to substantial morbidity and mortality and affect many different aspects of human life, including quality of life, sexual health, reproductive health and even the health of newborns and children. Despite of high rates of STIs in prisons, there are not sufficient screening, prevention and treatment programs to control STIs transmission among prisoners in Iran. This study aims to evaluate the prevalence of STIs among incarcerated women in Iran for the first time, using the active case finding strategy.

This is a cross-sectional study conducted on 438 incarcerated women in a prison in Tehran, Iran, from 2017 to 2018. A total of 438 prisoners were screened by active case findings for STI symptoms, then evaluated by complete genital and anal examination, followed by molecular testing.

A total of 189 (43.2%) prisoners announced vaginal discharge, while 194 (44.3%) individuals had vaginal discharge in the genital examination. In the cervical examination, 137 individuals (31.3%) had abnormal findings, of which 83 (18.9%) individuals had cervicitis, 40 (9.1%) individuals had cervical erosion, 38 (8.7%) individuals had cervical prolapse and 17 (3.9%) individuals had bleeding originated from the cervix.

This study showed that it is possible to set up a system in which the diagnosis, follow-up and treatment of prisoners with STIs can be actively performed. Educating prisoners about signs and symptoms, risk behaviors and prevention routes of STIs, as much as regular screening of prisoners, and adequate treatment can help control the STIs prevalence among prisoners and in the general population.

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.

This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation management in healthcare settings.

The papers from 2011 to 2021 were considered following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, relevant keywords were identified, and screening was performed. Bibliometric analysis was performed. One hundred twenty-three relevant documents that passed the eligibility criteria were finalized.

Overall, the annual scientific production section results reveal that ML in the healthcare sector is growing significantly. Performing bibliometric analysis has helped find unexplored areas; understand the trend of scientific publication; and categorize topics based on emerging, trending and essential. The paper discovers the influential authors, sources, countries and ML and healthcare management keywords.

The study helps understand various applications of ML in healthcare institutions, such as the use of Internet of Things in healthcare, the prediction of disease, finding the seriousness of a case, natural language processing, speech and language-based classification, etc. This analysis would help future researchers and developers target the healthcare sector areas that are likely to grow in the coming future.

The study highlights the potential for ML to enhance medical support within healthcare institutions. It suggests that regression algorithms are particularly promising for this purpose. Hospital management can leverage time series ML algorithms to estimate the number of incoming patients, thus increasing hospital availability and optimizing resource allocation. ML has been instrumental in the development of these systems. By embracing telemedicine and remote monitoring, healthcare management can facilitate the creation of online patient surveillance and monitoring systems, allowing for early medical intervention and ultimately improving the efficiency and effectiveness of medical services.

By offering a comprehensive panorama of ML's integration within healthcare institutions, this study underscores the pivotal role of innovation management in healthcare. The findings contribute to a holistic understanding of ML's applications in healthcare and emphasize their potential to transform and optimize healthcare delivery.

The present study aims to explore the barriers to Lean Six Sigma (LSS) implementation in the healthcare sector and develop the ranking of finalized barriers using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach under a fuzzy environment.

The LSS barriers are identified through the literature review and validated by the expert's opinion and statistical analysis. A total of 124 experts were identified through the purposive sampling method for conducting this study. A questionnaire survey method is used to collect the data related to identified LSS barriers in the healthcare sector. The screened barriers are ranked through the Fuzzy DEMATEL approach.

In this study, a total of 21 barriers were identified with the help of a systematic literature review and screened 13 significant barriers by the expert opinions of healthcare personnel. The result reveals that “Lack of top management commitment and support, lack of awareness about LSS”, “resistance to culture change and inadequate resources emerges as the most critical barriers”. The prioritization of barriers facilitates the managers to make effective policies and guidelines for LSS implementation in healthcare organizations.

To avoid LSS implementation failure, the practitioners and researchers need to focus on LSS barriers as per suggested ranking more conventionally and make plans and adoption policies accordingly.

This study is unique in terms of investigation and empirical analysis of LSS implementation barriers in the healthcare sector in the Indian context. The outcomes of the present study will help the managers of healthcare organizations to make the strategies and policies for LSS implementation as per the recommended LSS barriers.

Research has examined how new ventures strengthen local economic outcomes; however, limited research examines health-oriented ventures and their impact on social outcomes, including health outcomes. Increased VC investment in healthcare service start-ups signals more activity toward this end, and the need for further academic inquiry. We examine the relationship between these start-ups and county-level health outcomes, health factors, and hospital utilization.

Data on start-ups funded via institutional venture capital from PitchBook were merged with US county-level outcomes from the County Health Rankings and Area Health Resources Files for 2010 to 2019. We investigated how the number of VC-funded healthcare service start-ups, as well as a subset defined as innovative, were associated with county-level health measures. We used panel models with two-way fixed effects and Propensity Score Matched (PSM), controlling for demographics and socioeconomic factors.

Each additional VC-funded healthcare service start-up was related to a significant 0.01 percentage point decrease in diabetes prevalence (p < 0.01), a decrease of 1.54 HIV cases per 100,000 population (p < 0.1), a 0.02 percentage point decrease in obesity rates (p < 0.01), and a 0.03 percentage point decrease in binge drinking (p < 0.01). VC-funded healthcare service start-ups were not related to hospital utilization.

This work expands our understanding of how industry-specific start-ups, in this case healthcare start-ups, relate to positive social outcomes. The results underscore the importance of evidence-based evaluation, the need for expanded outcome measures for VC investment, and the possibilities for integration of healthcare services and entrepreneurship ecosystems.

Understanding the outcomes of co-creation (CC) in healthcare is increasingly gaining multidisciplinary scientific interest. Although more and more service management scholars have pointed out the benefits of cross-fertilization between the various research fields, the literature on this topic is still scattered and poorly integrated. This study aims to summarize and integrate multiple strands of extant knowledge CC by identifying the outcomes of health CC and the determinants of these outcomes and their relationships.

A structured literature review was conducted per PRISMA guidelines. A total of 4,189 records were retrieved from the six databases; 1,983 articles were screened, with 161 included in the qualitative thematic analysis.

This study advances a comprehensive framework for healthcare CC based on a thorough analysis of the outcomes and their determinants, that is, antecedents, management activities and institutional context. Extant research rarely evaluates outcomes from a multidimensional and systemic perspective. Less attention has been paid to the relationship among the CC process elements.

This study offers an agenda to guide future studies on healthcare CC. Highlighting some areas of integration among different disciplines further advances service literature.

The framework offers an operational guide to better shape managerial endeavors to facilitate CC, provide direction and assess multiple outcomes.

This is the first extensive attempt to synthesize and integrate multidisciplinary knowledge on CC outcomes in healthcare settings by adopting a systematic perspective on the overall process.

The resource crisis in healthcare can be alleviated by engaging external stakeholders and resources in healthcare delivery. The authors use value and open innovation concepts to understand what motivates the stakeholders to join the healthcare innovation ecosystem and what value such an ecosystem brings to healthcare.

A systematic literature review following the PRISMA framework method was applied to reach the research objective. Out of a total of 509 identified articles published till 2021, 25 were selected as relevant for this review.

Six categories of actors were identified, including innovation intermediaries, which were so far neglected in the healthcare innovation literature. Furthermore, patients, healthcare providers, innovation suppliers, investors and influencers were described. The authors also distinguished internal and external stakeholders. The authors show why and how open innovation projects contribute to involving external stakeholders and resources in healthcare delivery by contributing to patient autonomy, relationship building, knowledge transfer, improving collaborative mindset and culture, advancing know-how and bringing additional finances.

This article is the first one to systematically describe the value of open innovation in healthcare. The authors challenge the positivist approach in value presented by value-based healthcare. The authors show how openness contributes to addressing the resource crisis by involving new stakeholders and resources in the care delivery process.

This intensified case finding study aimed to evaluate the prevalence of tuberculosis (TB) disease among people with HIV entering the largest prison in Malaysia.

The study was conducted in Kajang prison, starting in July 2013 in the men’s prison and June 2015 in the women’s prison. Individuals tested positive for HIV infection, during the mandatory HIV testing at the prison entry, were consecutively recruited over five months at each prison. Consented participants were interviewed using a structured questionnaire and asked to submit two sputum samples that were assessed using GeneXpert MTB/RIF (Xpert) and culture, irrespective of clinical presentation. Factors associated with active TB (defined as a positive result on either Xpert or culture) were assessed using regression analyses.

Overall, 214 incarcerated people with HIV were recruited. Most were men (84.6%), Malaysians (84.1%) and people who inject drugs (67.8%). The mean age was 37.5 (SD 8.2) years, and median CD4 lymphocyte count was 376 cells/mL (IQR 232–526). Overall, 27 (12.6%) TB cases were identified, which was independently associated with scores of five or more on the World Health Organization clinical scoring system for prisons (ARR 2.90 [95% CI 1.48–5.68]).

Limited data exists about the prevalence of TB disease at prison entry, globally and none from Malaysia. The reported high prevalence of TB disease in the study adds an important and highly needed information to design comprehensive TB control programmes in prisons.

Background: Family violence (FV) is a significant problem that has a bidirectional link with mental health functioning. This research aimed to investigate family violence screening and response practices in a Victorian public adult mental health service, NorthWestern Mental Health, from the consumer perspective.

Methods: A prospective, cross-sectional, electronic consumer survey was created, utilising the Royal Melbourne Hospital Patient Survey FV screening and response tool. Data were collected over a two-month time period, via iPad. Clinicians invited all consumers (age range 18 to 64 years) attending the service to participate on data collection days, unless any of the exclusion criteria were present: a) clinical interaction occurring in a non-confidential environment; b) acute distress/crisis; c) clinician concerns about affecting rapport; and d) cognitive impairment, known disability or diminished capacity preventing them from reading or understanding the survey questions. Categorical and Likert type survey responses were explored descriptively. All variables collected in the survey were provided, specifically the percentage of responses in each category for each question. Free-text responses were analysed using qualitative description of the text-box response content.

Results: 35 consumers participated. 47% reported being screened for at least one family violence issue on at least one occasion. 26% reported disclosing FV concerns. All those disclosing felt mildly or very supported by the clinician’s response, and two-thirds received assistance they found helpful. 9% reported wanting to disclose FV concerns but not feeling comfortable to do so. Consumers indicated that FV should be spoken about more, that receiving assistance is helpful, but that responses varied in quality depending on the discipline of the clinician.

Conclusion: FV screening rates were found to be suboptimal as unmet needs were identified. Further training and services changes are required to improve screening rates, increase client comfort to disclosure, and optimise the clinical response to disclosures.