UNASSIGNED: The objectives of this study were to explore the rate and types of inappropriate referrals to the wellness services and to assess the impact of multi-level interventions on the rate of inappropriate referrals at Rawdat Al-Khail health center in Qatar.
UNASSIGNED: This study employed a retrospective analysis of all referrals data to Rawdat Al-Khail wellness services extracted from the Electronic Health Records (EHRs) between July 2022 and August 2023. The monthly rates and types of inappropriate referrals were calculated. In this study, pre-post analyses were performed to evaluate the impact of two sets of interventions on reducing inappropriate referral rates. The first set involved the development and distribution of e-referral pathways training manual in September 2022. The second set, implemented in April 2023, included close monitoring the rate and types of referrals, and the initiation of feedback communication between wellness services supervisors and referring physicians for advice and corrective actions.
UNASSIGNED: A total of 966 referrals were received during the study period, with 1:5 male-to-female ratio. Of all referrals, 34.9 % were classified as inappropriate, exhibiting considerable variations among different referring health centers. The most common reason for inappropriate referrals was due to the lack of \"exercise wellness gym assessment form\" (23.8 %). While interventions aimed at enhancing the referral process, they did not result in a significant overall reduction in inappropriate referral rates. However, there was a noteworthy reduction in the inappropriate referrals caused by the lack of \"exercise wellness gym assessment form\" observed from March to August 2023 (41 %-18 %).
UNASSIGNED: This study sheds light on the complexities of wellness services referrals, revealing a high rate of inappropriate referrals that require closer scrutiny. Despite interventions not significantly reducing the rate of these referrals, it emphasizes the need for ongoing improvement strategies. Structured, periodic interventions at higher levels are recommended to enhance referral appropriateness.

UNASSIGNED: : The objective of the current study was to assess how the coronavirus disease 2019 pandemic has affected mental health services compared to the same period of the year before the pandemic.
UNASSIGNED: The data in the study were retrieved from the databases of the computer systems of the hospitals. All referrals in the child psychiatry outpatient clinic between March 1 and June 30, 2019, and between March 1 and June 30, 2020, constituted the sample.
UNASSIGNED: Of the 3110 referrals, 2246 were cases and 864 were repeating examinations. Of the 2246 cases, 70.5% (n = 1583) were admitted in 2019, while 29.5% (n = 663) were admitted in 2020. Of the cases who referred in 2019, 37.3% (n = 590) were female, while this rate was 43.9% (n = 291) in 2020. The mean age of 2019 cases was found to be 9.51 ± 4.17, while the mean age of 2020 cases was found to be 10.39 ± 4.06. While attention-deficit hyperactivity disorder, oppositional defiant disorder, conduct disorder, depressive disorder, panic disorder, school refusal, and sleep disorder rates increased significantly, specific learning disorders and mental retardation rates were found to be on the decrease in 2020. In 2019, 47.6% (n = 754) of the cases were followed with medication, and in 2020, this rate increased to 63.2% (n = 419).
UNASSIGNED: Pandemic conditions affected the content of public hospital psychiatry referrals significantly. It can be thought that the significant decrease in the number of referrals may be the result of citizens obeying the prohibitions and the fear of disease transmission in families with the onset of the pandemic that precedes the existing psychiatric problems of children.

Over the past decade, the age-adjusted suicide rate has increased by 35.2% in the United States. In primary care, practitioners often interact with patients at risk of dying by suicide, yet little is known about the prevalence of suicide risk in primary care populations. Patient data from 2017-2020, consisting of a national sample of patients referred from primary care and enrolled in collaborative care behavioral health services (n = 37 666), were analyzed. Controlling for demographic characteristics, logistic models were used to compare suicide risk prevalence by behavioral health diagnosis. An estimated 9.96% (95% confidence interval [CI]: 9.65-10.27)-or approximately 3751 individuals-of the total sample screened positively for suicide risk. Compared with individuals diagnosed with generalized anxiety disorder, individuals diagnosed with bipolar disorder had 8.21 times the odds (95% CI: 6.66-10.10) of screening for suicide risk. Practitioners and health care systems may benefit from adding suicide risk screeners as a standard practice for referred patients, which may lead to further development of clinical pathways and provider training. The high rate of suicide risk across the sample suggests that more research is needed to understand suicide risk prevalence across primary care and collaborative care populations.

BACKGROUND: This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absence of the necessary structured information in the official databases.
METHODS: A Natural Language Processing (NLP) based pipeline has been developed to extract the waiting time information from the text of referrals for follow-up examinations in the Lombardy Region. A manually annotated dataset of 10 000 referrals has been used to develop the pipeline and another manually annotated dataset of 10 000 referrals has been used to test its performance. Subsequently, the pipeline has been used to analyze all 12 million referrals prescribed in 2021 and performed by May 2022 in the Lombardy Region.
RESULTS: The NLP-based pipeline exhibited high precision (0.999) and recall (0.973) in identifying waiting time information from referrals\' texts, with high accuracy in normalization (0.948-0.998). The overall reporting of timing indications in referrals\' texts for follow-up examinations was low (2%), showing notable variations across medical disciplines and types of prescribing physicians. Among the referrals reporting waiting times, 16% experienced delays (average delay = 19 days, standard deviation = 34 days), with significant differences observed across medical disciplines and geographical areas.
CONCLUSIONS: The use of NLP proved to be a valuable tool for assessing waiting times in follow-up examinations, which are particularly critical for the NHS due to the significant impact of chronic diseases, where follow-up exams are pivotal. Health authorities can exploit this tool to monitor the quality of NHS services and optimize resource allocation.

UNASSIGNED: Anecdotal evidence showed increased maternal deaths at the major tertiary hospital over the past two years (2020-2021). We reviewed the maternal death audit data, identified the main causes of maternal death, and associated risk factors. Findings were shared with policymakers to help reduce maternal mortality.
UNASSIGNED: We conducted a secondary data review and descriptive analysis of maternal death at the tertiary hospital located in Monrovia.
UNASSIGNED: The maternal death data were extracted from patient medical records, including death certificates and maternal audit records. The record of live births was obtained from the delivery register. Data were analyzed using Epi Info version 7.2 Maternal mortality ratio (MMR) was estimated, the leading direct and indirect causes of maternal death were identified, and the factors associated with maternal death were explored using logistic regression at a 5% level of significance.
UNASSIGNED: There are a total of 233 maternal deaths and 14, 879 live births giving a maternal mortality ratio (MMR) of 1565 per 100,000 live births during the period under review. The median age of the mothers at death was 29 (14-45) years. About 40.3% (94/233) of cases died within <1 day of admission, referrals accounted for 59% (137/233) of the cases. Direct causes of death accounted for 66% (147/223). Hemorrhage [30.6% (45/147)], Eclampsia [(30/147) 20.6%] and Sepsis [(30/147) 20.6%] were the main direct causes of death while cardiovascular-related [18.4% (14/76)] and HIV/AIDS [16% (12/76)] were the leading indirect cause of death. Patients from referred other facilities were 7.9 times more likely to die as compared to non-referral (pOR:7.9, 95%CI: 5.9-10.6, p < 0.001).
UNASSIGNED: The maternal mortality ratio remained high. Referrals were done late. The Liberia Ministry of Health should equip more secondary-level health facilities and tertiary hospitals to handle maternal emergencies and sensitize the populace and healthcare workers on prompt identification and referral of obstetric emergencies. The MoH also needs to improve the blood transfusion services to help in the management of postpartum hemorrhage.

UNASSIGNED: Oral health problems are common, but often overlooked, among people receiving palliative care.
UNASSIGNED: To better understand how oral health can be addressed in this population, this study aimed to explore the perceptions of oral health care among medical practitioners who provide palliative care to inform the development of a palliative oral health care program.
UNASSIGNED: A descriptive qualitative design was adopted.
UNASSIGNED: A single focus group was conducted with 18 medical practitioners at a palliative care facility in Sydney, Australia. All participants had experience providing palliative care services to clients. The focus group was audio recorded, transcribed and thematically analysed.
UNASSIGNED: The results from the inductive thematic analysis identified four themes. The themes highlighted that participants were aware of the oral health needs of people receiving palliative care; however, they also reflected on the complexity in delivering oral health care across the healthcare settings, as well as the challenges around cost, lack of appropriate dental referral pathways, time constraints and limited awareness. Participants also provided recommendations to improve the delivery of oral health care to individuals receiving palliative care.
UNASSIGNED: To improve the provision of oral health care in this population, this study highlighted the need for oral health training across the multidisciplinary team, standardised screening assessments and referrals, a collective responsibility across the board and exploring the potential for teledentistry to support oral health care provision.

UNASSIGNED: The aim of this study is to determine the general population\'s knowledge on the different symptoms of rheumatic diseases, the key factors for diagnosis delays from the patient\'s perspective, the length of delay from the onset of symptoms to the diagnosis, and the effect this holds on the disease activity, response to therapy, and the development of complications and nonreversible deformities in patients diagnosed with rheumatic diseases.
UNASSIGNED: This is a cross-sectional study. Our target study population were the residents of Saudi Arabia. Data were collected via an online questionnaire and analyzed with SPSS.
UNASSIGNED: The overall prevalence of rheumatic disease in our cohort was 8.7%. Joint pain (75.7%), joint swelling (47.1%) and morning stiffness (32.9%) were the first and most common presenting symptom. Persistence of symptoms (N=32, 45.7%) and symptom worsening (N=21, 30.0%) was the predominant cause to visit rheumatologist. The duration between first symptom and rheumatic disease diagnosis is significantly longer for patients aged <50 years compared to that of those with ≥50 years of age. Results show that 36.4% of patients aged ≥50 years had delayed diagnosis due to late appointment compared with 5.7% of patients aged <50 years. In addition, patients with longer duration of symptoms were likely to have more visits to the rheumatologist. Most of the participants of <50 years significantly agreed that rheumatologists treat autoimmune diseases, only a few approved that they treat muscle problems.
UNASSIGNED: Most participants in our study have lesser knowledge about their symptoms and they did not know where to consult for the treatment of their disease. This caused unnecessary delays and worsening and aggravation of the symptoms. There is an increased need to organize an awareness campaign in the general population regarding autoimmune and rheumatic diseases.

BACKGROUND: Before 2016, patients with isolated synchronous colorectal peritoneal metastases (PMCRC) diagnosed in expert centers had a higher odds of undergoing cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) and better overall survival (OS) than those diagnosed in referring centers. Nationwide efforts were initiated to increase awareness and improve referral networks.
METHODS: This nationwide study aimed to evaluate whether the between-center differences in odds of undergoing CRS-HIPEC and OS have reduced since these national efforts were initiated. All patients with isolated synchronous PMCRC diagnosed between 2009 and 2021 were identified from the Netherlands Cancer Registry. Associations between hospital of diagnosis and the odds of undergoing CRS-HIPEC, as well as OS, were assessed using multilevel multivariable regression analyses for two periods (2009-2015 and 2016-2021).
RESULTS: In total, 3948 patients were included. The percentage of patients undergoing CRS-HIPEC increased from 17.2% in 2009-2015 (25.4% in expert centers, 16.5% in referring centers), to 23.4% in 2016-2021 (30.2% in expert centers, 22.6% in referring centers). In 2009-2015, compared with diagnosis in a referring center, diagnosis in a HIPEC center showed a higher odds of undergoing CRS-HIPEC (odds ratio [OR] 1.64, 95% confidence interval [CI] 1.02-2.67) and better survival (hazard ratio [HR] 0.80, 95% CI 0.66-0.96). In 2016-2021, there were no differences in the odds of undergoing CRS-HIPEC between patients diagnosed in HIPEC centers versus referring centers (OR 1.27, 95% CI 0.76-2.13) and survival (HR 1.00, 95% CI 0.76-1.32).
CONCLUSIONS: Previously observed differences in odds of undergoing CRS-HIPEC were no longer present. Increased awareness and the harmonization of treatment for PMCRC may have contributed to equal access to care and a similar chance of survival at a national level.

BACKGROUND: Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease characterized by progressive muscle weakness and atrophy. Clinical trial data suggest early diagnosis and treatment are critical. The purpose of this study was to evaluate neurology appointment wait times for newborn screening identified infants, pediatric cases mirroring SMA symptomatology, and cases in which SMA is suspected by the referring physician. Approaches for triaging and expediting referrals in the US were also explored.
METHODS: Cure SMA surveyed healthcare professionals from two cohorts: (1) providers affiliated with SMA care centers and (2) other neurologists, pediatric neurologists, and neuromuscular specialists. Surveys were distributed directly and via Medscape Education, respectively, between July 9, 2020, and August 31, 2020.
RESULTS: Three hundred five total responses were obtained (9% from SMA care centers and 91% from the general recruitment sample). Diagnostic journeys were shorter for infants eventually diagnosed with SMA Type 1 if they were referred to SMA care centers versus general sample practices. Appointment wait times for infants exhibiting \"hypotonia and motor delays\" were significantly shorter at SMA care centers compared to general recruitment practices (p = 0.004). Furthermore, infants with SMA identified through newborn screening were also more likely to be seen sooner if referred to a SMA care center versus a general recruitment site. Lastly, the majority of both cohorts triaged incoming referrals. The average wait time for infants presenting at SMA care centers with \"hypotonia and motor delay\" was significantly shorter when initial referrals were triaged using a set of \"key emergency words\" (p = 0.036).
CONCLUSIONS: Infants directly referred to a SMA care center versus a general sample practice were more likely to experience shorter SMA diagnostic journeys and appointment wait times. Triage guidelines for referrals specific to \"hypotonia and motor delay\" including use of \"key emergency words\" may shorten wait times and support early diagnosis and treatment of SMA.

OBJECTIVE: Psychosocial rehabilitation (PSR) is at the core of psychiatric recovery. There is a paucity of evidence regarding how the needs and characteristics of patients guide clinical decisions to refer to PSR interventions. Here, we used explainable machine learning methods to determine how socio-demographic and clinical characteristics contribute to initial referrals to PSR interventions in patients with serious mental illness.
METHODS: Data were extracted from the French network of rehabilitation centres, REHABase, collected between years 2016 and 2022 and analysed between February and September 2022. Participants presented with serious mental illnesses, including schizophrenia spectrum disorders, bipolar disorders, autism spectrum disorders, depressive disorders, anxiety disorders and personality disorders. Information from 37 socio-demographic and clinical variables was extracted at baseline and used as potential predictors. Several machine learning models were tested to predict initial referrals to four PSR interventions: cognitive behavioural therapy (CBT), cognitive remediation (CR), psychoeducation (PE) and vocational training (VT). Explanatory power of predictors was determined using the artificial intelligence-based SHAP (SHapley Additive exPlanations) method from the best performing algorithm.
RESULTS: Data from a total of 1146 patients were included (mean age, 33.2 years [range, 16-72 years]; 366 [39.2%] women). A random forest algorithm demonstrated the best predictive performance, with a moderate or average predictive accuracy [micro-averaged area under the receiver operating curve from \'external\' cross-validation: 0.672]. SHAP dependence plots demonstrated insightful associations between socio-demographic and clinical predictors and referrals to PSR programmes. For instance, patients with psychotic disorders were more likely to be referred to PE and CR, while those with non-psychotic disorders were more likely to be referred to CBT and VT. Likewise, patients with social dysfunctions and lack of educational attainment were more likely to be referred to CR and VT, while those with better functioning and education were more likely to be referred to CBT and PE.
CONCLUSIONS: A combination of socio-demographic and clinical features was not sufficient to accurately predict initial referrals to four PSR programmes among a French network of rehabilitation centres. Referrals to PSR interventions may also involve service- and clinician-level factors. Considering socio-demographic and clinical predictors revealed disparities in referrals with respect to diagnoses, current clinical and psychological issues, functioning and education.