Risk-adjusted trend in national inpatient fall rates observed from 2011 to 2019 in acute care hospitals in Switzerland: a repeated multicentre cross-sectional study.

OBJECTIVES: This study aimed to investigate whether a significant trend regarding inpatient falls in Swiss acute care hospitals between 2011 and 2019 could be confirmed on a national level, and whether the trend persists after risk adjustment for patient-related fall risk factors. DESIGN: A secondary data analysis was conducted based on annual multicentre cross-sectional studies carried out between 2011 and 2019. SETTING: All Swiss acute care hospitals were obliged to participate in the surveys. Except for emergency departments, outpatient wards and recovery rooms, all wards were included. PARTICIPANTS: All inpatients aged 18 or older who had given their informed consent and whose data were complete and available were included. OUTCOME MEASURE: Whether a patient had fallen in the hospital was retrospectively determined on the survey day by asking patients the following question: Have you fallen in this institution in the last 30 days? RESULTS: Based on data from 110 892 patients from 222 Swiss hospitals, a national inpatient fall rate of 3.7% was determined over the 9 survey years. A significant linear decreasing trend (p=0.004) was observed using the Cochran-Armitage trend test. After adjusting for patient-related fall risk factors in a two-level random intercept logistic regression model, a significant non-linear decreasing trend was found at the national level. CONCLUSIONS: A significant decrease in fall rates in Swiss hospitals, indicating an improvement in the quality of care provided, could be confirmed both descriptively and after risk adjustment. However, the non-linear trend, that is, an initial decrease in inpatient falls that flattens out over time, also indicates a possible future increase in fall rates. Monitoring of falls in hospitals should be maintained at the national level. Risk adjustment accounts for the observed increase in patient-related fall risk factors in hospitals, thus promoting a fairer comparison of the quality of care provided over time.

[IT Failures in Hospitals - Structures and Processes in Hospitals for Coping Cyber Attacks]. / IT-Angriffe an Kliniken.

Clinics are, by definition, part of a country's critical infrastructure. In recent years, hospitals have increasingly become the target of cyber attacks, resulting in disruptions to their functionality lasting weeks to even months. According to the "National Strategy for the Protection of Critical Infrastructures (CRITIS Strategy)", clinics are legally obligated to take preventive measures against such incidents. This involves evaluating, defining, and developing failure concepts for IT-dependent processes within a clinic to be prepared for a cyber attack. Specifically tailored emergency plans for computer system failures should be created and maintained in all IT-dependent areas of a clinic.Additionally, paper-based alternative solutions, such as request forms for diagnostic or consultation services, department-specific emergency documents, and patient documentation charts, should be kept in a readily accessible location known to staff in the respective areas. The complete restoration of a clinic's network after a cyber attack often requires extensive recovery of numerous IT systems, which may take weeks to months in some cases.If the hospital has robust plans for cyber emergency preparedness, including regular scans and real-time backups, stabilization and a quicker resumption of operations may be possible.

Maternal Characteristics and Rates of Unexpected Complications in Term Newborns by Hospital.

Importance: The Joint Commission Unexpected Complications in Term Newborns measure characterizes newborn morbidity potentially associated with quality of labor and delivery care. Infant exclusions isolate relatively low-risk births, but unexpected newborn complications (UNCs) are not adjusted for maternal factors that may be associated with outcomes independently of hospital quality. Objective: To investigate the association between maternal characteristics and hospital UNC rates. Design, Setting, and Participants: This cohort study was conducted using linked 2016 to 2018 New York City birth and hospital discharge datasets among 254 259 neonates at low risk (singleton, ≥37 weeks, birthweight ≥2500 g, and without preexisting fetal conditions) at 39 hospitals. Logistic regression was used to calculate unadjusted hospital-specific UNC rates and replicated analyses adjusting for maternal covariates. Hospitals were categorized into UNC quintiles; changes in quintile ranking with maternal adjustment were examined. Data analyses were performed from December 2022 to July 2023. Main Outcomes and Measures: UNCs were classified according to Joint Commission International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) criteria. Maternal preadmission comorbidities, obstetric factors, social characteristics, and hospital characteristics were ascertained. Results: Among 254 259 singleton births at 37 weeks or later who were at low risk (125 245 female [49.3%] and 129 014 male [50.7%]; 71 768 births [28.2%] to Hispanic, 47 226 births [18.7%] to non-Hispanic Asian, 42 682 births [16.8%] to non-Hispanic Black, and 89 845 births [35.3%] to non-Hispanic White mothers and 2738 births [1.0%] to mothers with another race or ethnicity), 148 393 births (58.4%) were covered by Medicaid and 101 633 births (40.0%) were covered by commercial insurance. The 2016 to 2018 cumulative UNC incidence in New York City hospitals was 37.1 UNCs per 1000 births. Infants of mothers with preadmission risk factors had increased UNC risk; for example, among mothers with vs without preeclampsia, there were 104.4 and 35.8 UNCs per 1000 births, respectively. Among hospitals, unadjusted UNC rates ranged from 15.6 to 215.5 UNCs per 1000 births and adjusted UNC rates ranged from 15.6 to 194.0 UNCs per 1000 births (median [IQR] change from adjustment, 1.4 [-4.7 to 1.0] UNCs/1000 births). The median (IQR) change per 1000 births for adjusted vs unadjusted rates showed that hospitals with low (<601 deliveries/year; -2.8 [-7.0 to -1.6] UNCs) to medium (601 to <954 deliveries/year; -3.9 [-7.1 to -1.9] UNCs) delivery volume, public ownership (-3.6 [-6.2 to -2.3] UNCs), or high proportions of Medicaid-insured (eg, ≥90.72%; -3.7 [-5.3 to -1.9] UNCs), Black (eg, ≥32.83%; -5.3 [-9.1 to -2.2] UNCs), or Hispanic (eg, ≥6.25%; -3.7 [-5.3 to -1.9] UNCs) patients had significantly decreased UNC rates after adjustment, while rates increased or did not change in hospitals with the highest delivery volume, private ownership, or births to predominantly White or privately insured individuals. Among all 39 hospitals, 7 hospitals (17.9%) shifted 1 quintile comparing risk-adjusted with unadjusted quintile rankings. Conclusions and Relevance: In this study, adjustment for maternal case mix was associated with small overall changes in hospital UNC rates. These changes were associated with performance assessment for some hospitals, and these results suggest that profiling on this measure should consider the implications of small changes in rates for hospitals with higher-risk obstetric populations.

Factors associated with oral health care behavior of people with type 2 diabetes mellitus: A hospital-based, cross-sectional study.

BACKGROUND: Oral healthcare behavior determines oral health status and the incidence of oral diseases. People with type 2 diabetes mellitus (T2DM) are at-risk of having low oral healthcare behavior and disease-related oral health. OBJECTIVE: To investigate the oral health status and factors associated with oral healthcare behavior among people with T2DM in Thailand. METHODS: In total, 401 people with T2DM participated in the study based on their attendance at a non-communicable disease clinic at sub-district health promotion hospitals in Bueng Kan, a north-eastern province in Thailand. A structured questionnaire was used to obtain variables of interest. Linear regression analysis at the 95% confidence interval (CI) was applied. RESULTS: The majority of participants were female (73.8%). More than three-quarters had more than 20 permanent teeth (77.6%), a decay missing filling tooth index was 10.6 teeth/person. Many participants had four permanent occlusal pairs (69.6%), had tooth decay (74.6%), and some participants had tooth filling (32.2%). Statistically significant factors associated with oral healthcare behavior were: having complications associated with diabetes mellitus (Beta = -0.097, 95%CI = -1.653, -0.046), oral health literacy (Beta = 0.119, 95%CI = 0.009, 0.150), educational level (Beta = 0.123, 95%CI = 0.103, 0.949), oral healthcare attitude (Beta = 0.258, 95%CI = 0.143, 0.333), and oral health services (Beta = 0.430, 95%CI = 0.298, 1.408). CONCLUSIONS: People with T2DM had good oral health status. People with T2DM with low oral health literacy, low attitude, and low level of oral health services were at a higher risk of poor oral healthcare behavior.

The effect of local hospital waiting times on GP referrals for suspected cancer.

INTRODUCTION: Reducing waiting times is a major policy objective in publicly-funded healthcare systems. However, reductions in waiting times can produce a demand response, which may offset increases in capacity. Early detection and diagnosis of cancer is a policy focus in many OECD countries, but prolonged waiting periods for specialist confirmation of diagnosis could impede this goal. We examine whether urgent GP referrals for suspected cancer patients are responsive to local hospital waiting times. METHOD: We used annual counts of referrals from all 6,667 general practices to all 185 hospital Trusts in England between April 2012 and March 2018. Using a practice-level measure of local hospital waiting times based on breaches of the two-week maximum waiting time target, we examined the relationship between waiting times and urgent GP referrals for suspected cancer. To identify whether the relationship is driven by differences between practices or changes over time, we estimated three regression models: pooled linear regression, a between-practice estimator, and a within-practice estimator. RESULTS: Ten percent higher rates of patients breaching the two-week wait target in local hospitals were associated with higher volumes of referrals in the pooled linear model (4.4%; CI 2.4% to 6.4%) and the between-practice estimator (12.0%; CI 5.5% to 18.5%). The relationship was not statistically significant using the within-practice estimator (1.0%; CI -0.4% to 2.5%). CONCLUSION: The positive association between local hospital waiting times and GP demand for specialist diagnosis was caused by practices with higher levels of referrals facing longer local waiting times. Temporal changes in waiting times faced by individual practices were not related to changes in their referral volumes. GP referrals for diagnostic cancer services were not found to respond to waiting times in the short-term. In this setting, it may therefore be possible to reduce waiting times by increasing supply without consequently increasing demand.

Trends in HCAHPS Survey Scores, 2008-2019: A Quality Improvement Perspective.

BACKGROUND: HCAHPS' 2008 initial public reporting, 2012 inclusion in the Hospital Value-Based Purchasing Program (HVBP), and 2015 inclusion in Hospital Star Ratings were intended to improve patient experiences. OBJECTIVES: Characterize pre-COVID-19 (2008-2019) trends in hospital consumer assessment of healthcare providers and systems (HCAHPS) scores. RESEARCH DESIGN: Describe HCAHPS score trends overall, by phase: (1) initial public reporting period (2008-2013), (2) first 2 years of HVBP (2013-2015), and (3) initial HCAHPS Star Ratings reporting (2015-2019); and by hospital characteristics (HCAHPS decile, ownership, size, teaching affiliation, and urban/rural). SUBJECTS: A total of 3909 HCAHPS-participating US hospitals. MEASURES: HCAHPS summary score (HCAHPS-SS) and 9 measures. RESULTS: The mean 2007-2019 HCAHPS-SS improvement in most-positive-category ("top-box") responses was +5.2 percentage points/pp across all hospitals (where differences of 5pp, 3pp, and 1pp are "large," "medium," and "small"). Improvement rate was largest in phase 1 (+0.8/pp/year vs. +0.2pp/year and +0.1pp/year for phases 2 and 3, respectively). Improvement was largest for Overall Rating of Hospital (+8.5pp), Discharge Information (+7.3pp), and Nurse Communication (+6.5pp), smallest for Doctor Communication (+0.8pp). Some measures improved notably through phases 2 and 3 (Nurse Communication, Staff Responsiveness, Overall Rating of Hospital), but others slowed or reversed in Phase 3 (Communication about Medicines, Quietness). Bottom-decile hospitals improved more than other hospitals for all measures. CONCLUSIONS: All HCAHPS measures improved rapidly 2008-2013, especially among low-performing (bottom-decile) hospitals, narrowing the range of performance and improving scores overall. This initial improvement may reflect widespread, general quality improvement (QI) efforts in lower-performing hospitals. Subsequent slower improvement following the introduction of HVBP and Star Ratings may have reflected targeted, resource-intensive QI in higher-performing hospitals.

Longitudinal analysis within one hospital in sub-Saharan Africa over 20 years reveals repeated replacements of dominant clones of Klebsiella pneumoniae and stresses the importance to include temporal patterns for vaccine design considerations.

BACKGROUND: Infections caused by multidrug-resistant gram-negative bacteria present a severe threat to global public health. The WHO defines drug-resistant Klebsiella pneumoniae as a priority pathogen for which alternative treatments are needed given the limited treatment options and the rapid acquisition of novel resistance mechanisms by this species. Longitudinal descriptions of genomic epidemiology of Klebsiella pneumoniae can inform management strategies but data from sub-Saharan Africa are lacking. METHODS: We present a longitudinal analysis of all invasive K. pneumoniae isolates from a single hospital in Blantyre, Malawi, southern Africa, from 1998 to 2020, combining clinical data with genome sequence analysis of the isolates. RESULTS: We show that after a dramatic increase in the number of infections from 2016 K. pneumoniae becomes hyperendemic, driven by an increase in neonatal infections. Genomic data show repeated waves of clonal expansion of different, often ward-restricted, lineages, suggestive of hospital-associated transmission. We describe temporal trends in resistance and surface antigens, of relevance for vaccine development. CONCLUSIONS: Our data highlight a clear need for new interventions to prevent rather than treat K. pneumoniae infections in our setting. Whilst one option may be a vaccine, the majority of cases could be avoided by an increased focus on and investment in infection prevention and control measures, which would reduce all healthcare-associated infections and not just one.

Prevalence and molecular characterization of colistin resistance in Pseudomonas aeruginosa isolates: insights from a study in Ardabil hospitals.

BACKGROUND: Pseudomonas aeruginosa is a common cause of nosocomial infections. However, the emergence of multidrug-resistant strains has complicated the treatment of P. aeruginosa infections. While polymyxins have been the mainstay for treatment, there is a global increase in resistance to these antibiotics. Therefore, our study aimed to determine the prevalence and molecular details of colistin resistance in P. aeruginosa clinical isolates collected between June 2019 and May 2023, as well as the genetic linkage of colistin-resistant P. aeruginosa isolates. RESULTS: The resistance rate to colistin was 9% (n = 18) among P. aeruginosa isolates. All 18 colistin-resistant isolates were biofilm producers and carried genes associated with biofilm formation. Furthermore, the presence of genes encoding efflux pumps, TCSs, and outer membrane porin was observed in all colistin-resistant P. aeruginosa strains, while the mcr-1 gene was not detected. Amino acid substitutions were identified only in the PmrB protein of multidrug- and colistin-resistant strains. The expression levels of mexA, mexC, mexE, mexY, phoP, and pmrA genes in the 18 colistin-resistant P. aeruginosa strains were as follows: 88.8%, 94.4%, 11.1%, 83.3%, 83.3%, and 38.8%, respectively. Additionally, down-regulation of the oprD gene was observed in 44.4% of colistin-resistant P. aeruginosa strains. CONCLUSION: This study reports the emergence of colistin resistance with various mechanisms among P. aeruginosa strains in Ardabil hospitals. We recommend avoiding unnecessary use of colistin to prevent potential future increases in colistin resistance.

Determinants of severe maternal outcome in Keren hospital, Eritrea: An unmatched case-control study.

BACKGROUND: In the past few decades, several studies on the determinants and risk factors of severe maternal outcome (SMO) have been conducted in various developing countries. Even though the rate of maternal mortality in Eritrea is among the highest in the world, little is known regarding the determinants of SMO in the country. Thus, the aim of this study was to identify determinants of SMO among women admitted to Keren Provincial Referral Hospital. METHODS: A facility based unmatched case-control study was conducted in Keren Hospital. Women who encountered SMO event from January 2018 to December 2020 were identified retrospectively from medical records using the sub-Saharan Africa maternal near miss (MNM) data abstraction tool. For each case of SMO, two women with obstetric complication who failed to meet the sub-Saharan MNM criteria were included as controls. Bivariate and multivariate logistic regression analyses were employed using SPSS version-22 to identify factors associated with SMO. RESULTS: In this study, 701 cases of SMO and 1,402 controls were included. The following factors were independently associated with SMO: not attending ANC follow up (AOR: 4.53; CI: 3.15-6.53), caesarean section in the current pregnancy (AOR: 3.75; CI: 2.69-5.24), referral from lower level facilities (AOR: 11.8; CI: 9.1-15.32), residing more than 30 kilometers away from the hospital (AOR: 2.97; CI: 2.29-3.85), history of anemia (AOR: 2.36; CI: 1.83-3.03), and previous caesarean section (AOR: 3.49; CI: 2.17-5.62). CONCLUSION: In this study, lack of ANC follow up, caesarean section in the current pregnancy, referral from lower facilities, distance from nearest health facility, history of anaemia and previous caesarean section were associated with SMO. Thus, improved transportation facilities, robust referral protocol and equitable distribution of emergency facilities can play vital role in reducing SMO in the hospital.

Prevalence and Determinants of Diagnosed Dementia: A Registry Linkage Study Linking Diagnosis of Dementia in the Population-Based HUNT Study to Registry Diagnosis of Dementia in Primary Care and Hospitals in Norway.

Background: A timely diagnosis of dementia can be beneficial for providing good support, treatment, and care, but the diagnostic rate remains unknown and is probably low. Objective: To determine the dementia diagnostic rate and to describe factors associated with diagnosed dementia. Methods: This registry linkage study linked information on research-based study diagnoses of all-cause dementia and subtypes of dementias, Alzheimer's disease, and related dementias, in 1,525 participants from a cross-sectional population-based study (HUNT4 70+) to dementia registry diagnoses in both primary-care and hospital registries. Factors associated with dementia were analyzed with multiple logistic regression. Results: Among those with research-based dementia study diagnoses in HUNT4 70+, 35.6% had a dementia registry diagnosis in the health registries. The diagnostic rate in registry diagnoses was 19.8% among home-dwellers and 66.0% among nursing home residents. Of those with a study diagnosis of Alzheimer's disease, 35.8% (95% confidence interval (CI) 32.6-39.0) had a registry diagnosis; for those with a study diagnosis of vascular dementia, the rate was 25.8% (95% CI 19.2-33.3) and for Lewy body dementias and frontotemporal dementia, the diagnosis rate was 63.0% (95% CI 48.7-75.7) and 60.0% (95% CI 43.3-75.1), respectively. Factors associated with having a registry diagnosis included dementia in the family, not being in the youngest or oldest age group, higher education, more severe cognitive decline, and greater need for help with activities of daily living. Conclusions: Undiagnosed dementia is common, as only one-third of those with dementia are diagnosed. Diagnoses appear to be made at a late stage of dementia.

Past, present, and future of sustainable intensive care: narrative review and a large hospital system experience.

Healthcare systems are large contributors to global emissions, and intensive care units (ICUs) are a complex and resource-intensive component of these systems. Recent global movements in sustainability initiatives, led mostly by Europe and Oceania, have tried to mitigate ICUs' notable environmental impact with varying success. However, there exists a significant gap in the U.S. knowledge and published literature related to sustainability in the ICU. After a narrative review of the literature and related industry standards, we share our experience with a Green ICU initiative at a large hospital system in Texas. Our process has led to a 3-step pathway to inform similar initiatives for sustainable (green) critical care. This pathway involves (1) establishing a baseline by quantifying the status quo carbon footprint of the affected ICU as well as the cumulative footprint of all the ICUs in the healthcare system; (2) forming alliances and partnerships to target each major source of these pollutants and implement specific intervention programs that reduce the ICU-related greenhouse gas emissions and solid waste; and (3) finally to implement a systemwide Green ICU which requires the creation of multiple parallel pathways that marshal the resources at the grass-roots level to engage the ICU staff and institutionalize a mindset that recognizes and respects the impact of ICU functions on our environment. It is expected that such a systems-based multi-stakeholder approach would pave the way for improved sustainability in critical care.

Effect of interventions to improve safety culture on healthcare workers in hospital settings: a systematic review of the international literature.

BACKGROUND: In an era of safety systems, hospital interventions to build a culture of safety deliver organisational learning methodologies for staff. Their benefits to hospital staff are unknown. We examined the literature for evidence of staff outcomes. Research questions were: (1) how is safety culture defined in studies with interventions that aim to enhance it?; (2) what effects do interventions to improve safety culture have on hospital staff?; (3) what intervention features explain these effects? and (4) what staff outcomes and experiences are identified? METHODS AND ANALYSIS: We conducted a mixed-methods systematic review of published literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search was conducted in MEDLINE, EMBASE, CINAHL, Health Business Elite and Scopus. We adopted a convergent approach to synthesis and integration. Identified intervention and staff outcomes were categorised thematically and combined with available data on measures and effects. RESULTS: We identified 42 articles for inclusion. Safety culture outcomes were most prominent under the themes of leadership and teamwork. Specific benefits for staff included increased stress recognition and job satisfaction, reduced emotional exhaustion, burnout and turnover, and improvements to working conditions. Effects were documented for interventions with longer time scales, strong institutional support and comprehensive theory-informed designs situated within specific units. DISCUSSION: This review contributes to international evidence on how interventions to improve safety culture may benefit hospital staff and how they can be designed and implemented. A focus on staff outcomes includes staff perceptions and behaviours as part of a safety culture and staff experiences resulting from a safety culture. The results generated by a small number of articles varied in quality and effect, and the review focused only on hospital staff. There is merit in using the concept of safety culture as a lens to understand staff experience in a complex healthcare system.

Implications of deduplication on the detection rates of multidrug-resistant organism (MDRO) in various specimens: insights from the hospital infection surveillance program.

BACKGROUND: Currently, different guidelines recommend using different methods to determine whether deduplication is necessary when determining the detection rates of multidrug-resistant organisms (MDROs). However, few studies have investigated the effect of deduplication on MDRO monitoring data. In this study, we aimed to investigate the influence of deduplication on the detection rates of MDROs in different specimens to assess its impact on infection surveillance outcomes. METHODS: Samples were collected from hospitalized patients admitted between January 2022 and December 2022; four types of specimens were collected from key monitored MDROs, including sputum samples, urine samples, blood samples, and bronchoalveolar lavage fluid (BALF) samples. In this study, we compared and analysed the detection rates of carbapenem-resistant Klebsiella pneumoniae (CRKP), carbapenem-resistant Escherichia coli (CRECO), carbapenem-resistant Acinetobacter baumannii (CRAB), carbapenem-resistant Pseudomonas aeruginosa (CRPA), and methicillin-resistant Staphylococcus aureus (MRSA) under two conditions: with and without deduplication. RESULTS: When all specimens were included, the detection rates of CRKP, CRAB, CRPA, and MRSA without deduplication (33.52%, 77.24%, 44.56%, and 56.58%, respectively) were significantly greater than those with deduplication (24.78%, 66.25%, 36.24%, and 50.83%, respectively) (all P < 0.05). The detection rates in sputum samples were significantly different between samples without duplication (28.39%, 76.19%, 46.95%, and 70.43%) and those with deduplication (19.99%, 63.00%, 38.05%, and 64.50%) (all P < 0.05). When deduplication was not performed, the rate of detection of CRKP in urine samples reached 30.05%, surpassing the rate observed with deduplication (21.56%) (P < 0.05). In BALF specimens, the detection rates of CRKP and CRPA without deduplication (39.78% and 53.23%, respectively) were greater than those with deduplication (31.62% and 42.20%, respectively) (P < 0.05). In blood samples, deduplication did not have a significant impact on the detection rates of MDROs. CONCLUSION: Deduplication had a significant effect on the detection rates of MDROs in sputum, urine, and BALF samples. Based on these data, we call for the Infection Prevention and Control Organization to align its analysis rules with those of the Bacterial Resistance Surveillance Organization when monitoring MDRO detection rates.

Assessment of visual problems after acquired brain injury: a survey of current practice in Danish hospitals.

OBJECTIVES: To explore current hospital practice in relation to the assessment of vision problems in patients with acquired brain injury. DESIGN: A survey study. SUBJECTS: A total of 143 respondents from hospital settings, with background in occupational therapy and physical therapy, participated in the survey. METHODS: The survey questionnaire, developed collaboratively by Danish and Norwegian research groups, encompassed 22 items categorically covering "Background information", "Clinical experience and current practice", "Vision assessment tools and protocols", and "Assessment barriers". It was sent out online, to 29 different hospital departments and 18 separate units for occupational therapists and physiotherapists treating patients with acquired brain injury. RESULTS: Most respondents worked in acute or subacute hospital settings. Few departments had an interdisciplinary vision team, and very few therapists had formal education in visual problems after acquired brain injury. Visual assessment practices varied, and there was limited use of standardized tests. Barriers to identifying visual problems included patient-related challenges, knowledge gaps, and resource limitations. CONCLUSION: The study emphasized the need for enhanced interdisciplinary collaboration, formal education, and standardized assessments to address visual problems after acquired brain injury. Overcoming these challenges may improve identification and management, ultimately contributing to better patient care and outcomes in the future.

Birang Daruganora: what do Aboriginal and Torres Strait Islander communities need in a new hospital? A qualitative study.

OBJECTIVES: To elicit the Aboriginal community's cultural and healthcare needs and views about six prominent and emerging models of care, to inform the development of a new hospital. DESIGN: Cross-sectional qualitative study co-designed and co-implemented by Aboriginal team members. SETTING: Western Sydney, New South Wales, Australia. PARTICIPANTS: Aboriginal and Torres Strait Islander healthcare providers (n=2) and community members (n=18) aged between 21 and 60+ years participated in yarning circles (20 participants; 14 female, 6 male). RESULTS: Handwritten notes from yarning circles were inductively analysed to synthesise the cultural and healthcare needs of providers and community members in relation to a new hospital and six models of care. Three primary themes emerged in relation to future hospitals. These were 'culturally responsive spaces', 'culturally responsive systems' and 'culturally responsive models of care'. Strengths (eg, comfort, reduced waiting time, holistic care), barriers (eg, logistics, accessibility, literacy) and enablers (eg, patient navigator role, communication pathways, streamlined processes) were identified for each of the six models of care. CONCLUSIONS: Aboriginal and Torres Strait Islander community members and providers are invested in the co-creation of an innovative, well-integrated hospital that meets the needs of the community. Common themes of respect and recognition, relationships and partnering, and capacity building emerged as important consumer and provider considerations when developing and evaluating care services. Participants supported a range of models citing concerns about accessibility and choice when discussing evidence-based models of care.

Analysis of the Outcomes of Tuberculosis Treatment and Factors Associated with Successful Treatment at the Bamenda Regional Hospital: A 10-year Retrospective Study.

BACKGROUND: Tuberculosis (TB) remains a global public health issue, impacting millions of people worldwide. This study determined the outcomes of TB treatment managed within a 10 year period at the Bamenda Regional Hospital in Cameroon. METHODS: A retrospective study was carried out among 2428 patients diagnosed and treated for active TB infection from 2013 to 2022, at the Bamenda Regional Hospital. Data collection was done from March to April 2023 using a data extraction form. Bivariate and multivariate logistic regression models were used to identify factors associated with successful TB treatment outcomes. Data was analyzed using SPSS software version 26. RESULTS: Of the 2428 patients with TB, 1380 (56.8%) were cured, 739 (30.4%) completed treatment, treatment failures were recorded in 10 (0.4%) patients, and 200 (8.2%) died during or after receiving treatment. Treatment default was the outcome in 99 (4.1%). Successful treatment outcomes were reported in 2119 (87.3%). Patients within age groups 41-50 (P = 0.010), 51-60 (P = 0.041), and >60 years (P = 0.006), male (P = 0.004), and human immunodeficiency virus-positive patients (P < 0.001) had decreased odds of successful treatment outcomes. CONCLUSION: The outcomes of treatment within a 10 year period showed that the treatment success was 2.7% below the World Health Organizations target. Prioritizing vulnerable patient groups in TB management and implementing public health interventions such as financial assistance and nutritional support will go a long way in improving treatment outcomes.

Social network analysis of a decade-long collaborative innovation network between hospitals and the biomedical industry in China.

Collaborative innovation between hospitals and biomedical enterprises is crucial for ensuring breakthroughs in their development. This study explores the structural characteristics and examines the main roles of associated key actors of collaborative innovation between hospitals and biomedical enterprises in China. Using the jointly owned patent data within the country's healthcare industry, a decade-long collaborative innovation network between hospitals and biomedical enterprises in China was established and analyzed through social network analysis. The results revealed that the overall levels of collaborative innovation network density, collaborative frequency, and network connectivity were significantly low, especially in less-developed regions. In terms of actors with higher degree centrality, hospitals accounted for the majority, whereas a biomedical enterprise in Shenzhen had the highest degree centrality. Organizations in underdeveloped and northwest regions and small players were more likely to implement collaborative innovation. In conclusion, a collaborative innovation network between hospitals and biomedical enterprises in China demonstrated high dispersion and poor development levels. Stimulating organizations' initiatives for collaborative innovation may enhance quality and quantity of such innovation. Policy support and economic investments, strategic collaborative help, and resource and partnership optimization, especially for small players and in less-developed and northwest regions, should be encouraged to enhance collaborative innovation between hospitals and the biomedical industry in China and other similar countries or regions.