Increase Treatment Rates Research Articles

OTPs report on barriers to methadone van implementation in state‐by‐state report

Although the federal government has allowed opioid treatment programs (OTPs) to treat patients with methadone by mobile vans for three years (see ADAW https://onlinelibrary.wiley.com/doi/10.1002/adaw.33120), pickup by the states has been slow. The innovation makes it much easier for patients in rural areas, and patients without access to transportation, to receive treatment. But unless it's put into practice, it won't work to increase treatment rates and reduce the opioid overdose crisis.

A Pilot Study to Evaluate the Use of Automated Nicotine Metabolite Ratio Reporting Within Primary Care as an Implementation Strategy to Increase the Use of Tobacco Treatments.

Concerns about safety and effectiveness of tobacco treatments reduce their use. We explored integrating the nicotine metabolite ratio (NMR), and messaging about its potential for improving safety and effectiveness, as a strategy to increase the use of tobacco treatments within primary care. Through a prospective cohort design, we explored the effects of integrating NMR testing within primary care on the provision of tobacco treatment; 65 patients completed assessments including NMR before a clinic visit. At the clinic visit, patients' clinicians received an electronic health record (EHR) alert about the patient's NMR and personalized treatment recommendations to improve effectiveness and safety. Being asked about smoking and advised to quit, and a referral for tobacco treatment or medication prescription, were assessed within 30 days of the appointment and were compared to a usual care cohort (N = 85). The NMR and usual care cohorts reported similar rates of being asked about smoking (92.3% vs. 92.9%, p = 1.0), being advised to quit (72.3% vs. 74.1%, p = .85), being referred for tobacco treatment (23.1% vs. 36.5%, p = .11), and receiving tobacco use medications (20% vs. 27.1%, p = .34). In the NMR cohort, fast versus slow metabolizers were more likely to receive medication (26% vs. 0%, p = .003) and all patients who received varenicline (n = 8) were fast metabolizers. NMR results and treatment recommendations did not increase tobacco treatment rates in primary care, although it may increase treatment rates and the use of varenicline for fast metabolizers. Future studies could test ways to use the NMR to increase tobacco treatment rates in clinical settings. This study generated a novel implementation strategy, namely an EHR alert about patients' NMR and personalized treatment recommendations, in an effort to increase tobacco treatment rates in primary care. While the strategy did not increase tobacco treatment rates, it may have boosted the rate of varenicline prescription for patients who metabolize nicotine faster, aligning with evidence-based practice.

A quality improvement project to increase treatment rates of osteoporosis in general practice.

ObjectiveThis study tests a model to improve the management of patients with an osteoporotic fracture.MethodsPatients with fractures potentially due to osteoporosis were identified from imaging reports using computerised near natural language processing. A coordinator notified the referring GP about the finding and provided follow-up to remind GPs of the need for management. This provided an opportunity to assess action taken by the GP.ResultsNear natural language processing efficiently detected fractures in patients at risk of osteoporosis. GPs reported that they are managing osteoporosis in over 40% of patients identified. Notification of GPs coincided with a small increase in osteoporosis management.ConclusionInformation technology can identify patient populations with clinically important risks such as osteoporosis. Methods to engage GPs to optimally address this risk have yet to be developed.

An optimization framework for basin-scale water environmental carrying capacity

The interaction between water environment and social economy at a basin scale is complex and challenging to quantify. To address this issue, this study proposes an integrated framework that builds parametric connections among water, contaminants, administrative regions, and social activities. The framework, known as the water environmental carrying capacity (WECC) optimization framework, effectively captures the intricacy of the interaction and integrates socio-economic parameter structure relationships, a water environmental model, a WECC optimization model, and a sensitivity analysis of regulatory parameters. Applied to the Anhui-Huaihe Basin in mid-eastern China, the framework considers nine administrative regions and three economic factors: industry, agriculture, and GDP per capita (pGDP). Results show that the current water environmental carrying capacity of the watershed is insufficient to meet socio-economic development requirements. After optimization, the WECC for industry, agriculture, and pGDP in the region increased by 22.40%, 26.59%, and 15.08% respectively. Overall COD and NH4–N discharge decreased by 13.6% and 14.7% respectively, effectively reducing pollution loads in rivers and enhancing sustainable development potential. At the regional scale, optimization for industry, agriculture, and pGDP exhibited different characteristics, but all aimed to improve efficiency by reducing the K value (pollution discharge/output value ratio). Regions with industrial treatment rates (αwt) below 0.8 should prioritize increasing treatment rates, while those above 0.8 should consider industrial upgrading for enhanced efficiency. For agriculture, important sensitive parameters for farming and livestock breeding are the proportion of high standard farmland (αs) and the scale breeding ratio (αb), which should be increased to above 0.15 and 0.83 respectively for all regions to achieve agricultural optimization. For pGDP optimization, the focus is on improving living environments and reducing pollution discharge, with crucial measures including collecting and treating rural domestic sewage, where the rural toilet improvement rate (αt) in each region should be increased to 0.78 or above. The results emphasize the need for both interregional allocation and intraregional planning to achieve comprehensive basin optimization and a harmonious balance between regional development and water environment.

Investigations of transmission dynamics of Nipah virus in Bangladesh

This study has focused on the transmission dynamics of the Nipah Virus (NiV) and its controlling system. In this respect, we have developed a virus transmission model based on several compartments and discussed the model's basic reproduction number and stability analysis at disease-free equilibrium (DFE) and endemic equilibrium (EE) points. It is observed that the model is locally and globally asymptotically stable at DFE and EE for the basic reproduction number R0<1 and R0>1, respectively. We have also solved the model equations numerically using the Runge-Kutta (RK-45) method to investigate the effect of disease parameters. In the calculation, some parameter values are taken from several references. Lastly, the calculated results show that the infection rate of the exposed individuals highly influences the disease compartments. Furthermore, drug resistance is observed to be less effective than the treatment rate. In addition, it is found that the number of infected people is reducing with the increasing treatment rate.

Co-infection dynamics of COVID-19 and HIV/AIDS

Although there are many results that can be used to treat and prevent Coronavirus Disease 2019 (COVID-19) and Human Immunodeficiency Virus (HIV), these diseases continue to be public health concerns and cause socioeconomic consequences. Following compromised immunity, COVID-19 is considered to be a challenge for people with HIV. People with advanced HIV are considered a vulnerable population at high risk in several case studies that discuss COVID-19 and HIV co-infection. As there is no cure for HIV and there is a chance of contracting COVID-19 again, co-infection continues to pose a problem. The purpose of this study is to investigate the impact of intervention strategies and identify the role of different parameters in risking people living with HIV to death when they get infected with COVID-19. This is achieved through the development and rigorous analysis of a mathematical model that considers a population at risk of death due to COVID-19 and HIV. The model formulation provides a detailed explanation of the transmission dynamics of COVID-19 and HIV co-infection. The solution’s invariant region, positivity, and boundedness were established. The reproduction numbers of the sub-models and the co-infection model were determined. The existence and stability of equilibria, including backward bifurcation for the COVID-19 sub-model, were examined. The epidemiological significance of backward bifurcation is that the condition {mathscr {R}}_0 less than 1 for eliminating COVID-19, though necessary, is no longer sufficient. Parametric estimation and curve fitting were performed based on data from Ethiopia. Numerical simulations were employed to support and clarify the analytical findings and to show some parameter effects on COVID-19 and HIV co-infection. Accordingly, the simulations indicated that parameters gamma _c, gamma _h, epsilon, and kappa, related to HIV patients’ exposure to other diseases and the increase in infectiousness, have a positive role in increasing the number of co-infections. On the other hand, an increase in COVID-19 vaccination (xi) shows the suppression of co-infection cases. In addition, treating co-infected individuals for COVID-19, increasing treatment rates alpha and varphi, reduces the death risk of HIV-infected individuals due to the co-infection burden. It was implied that improving vaccine delivery programs and other medical interventions have important contributions to lowering the risk of COVID-19 infection-related fatalities in HIV patients.

Using notifications data to increase hepatitis C testing and treatment rates in Queensland.

Australia's goal of eliminating hepatitis C by 2030 requires increases in uptake of and access to testing and treatment. As hepatitis C is a notifiable condition, health departments have access to information about people exposed to the hepatitis C virus (HCV), including the details of notifying clinicians who ordered their diagnostic pathology tests. Hepatitis C RNA testing confirms active infection that requires treatment, whereas a positive antibody test result only indicates prior exposure to the virus. We undertook a pilot project in Queensland to follow up hepatitis C notifications with clinicians, aiming to increase HCV-RNA testing and treatment uptake. For all individuals with a first-time hepatitis C notification in Queensland between 3 November 2020 and 28 May 2021, we sought information regarding hepatitis C RNA testing from laboratories, excluding those cases diagnosed in prisons. Cases who did not have RNA testing identified as part of or after their initial diagnostic tests were followed up via their notifying clinician. Interviews with selected clinicians were undertaken to improve our understanding of the follow-up process. There were 769 new hepatitis C notifications during our study period: 244 had no subsequent RNA test identified and were followed up for this study. Of these, 134 cases were lost to follow-up; 26 were already being effectively case managed; 22 reported previous treatment and no further risk; and 62 were eligible for HCV-RNA testing. Twenty-six cases subsequently started hepatitis C treatment. Thirty-four percent of notifications that required follow-up resulted from testing initially requested in hospital settings. Following up hepatitis C notifications can result in increased treatment rates; however, the process was resource-intensive and often failed to result in further contact between clinicians and patients. Our findings also highlight the importance of supporting better continuity of care between hospitals and community settings.

Barriers to healthcare access in patients with chronic pain or potential migraine in Japan: a cross-sectional internet survey.

Chronic pain and migraines often go untreated despite patient- and economic-related burdens (e.g., impaired quality of life and productivity). Understanding the reasons for non-treatment is important to enable interventions aimed at improving care-seeking behaviors. However, reports on disease-specific justifications for nontreatment in Japan are limited. We aimed to determine the barriers to healthcare access in untreated patients with chronic pain or migraines. This was a non-interventional, cross-sectional, internet questionnaire survey of patients with chronic pain or migraines. The primary endpoint was to identify the reasons for untreated chronic pain or migraines. Secondary endpoints included factors associated with healthcare access, including patient background, patient-reported outcomes, and awareness of generic or authorized generic drugs (AG). We surveyed 1,089 patients with chronic pain [605 (55.6%) untreated] and 932 patients with migraines [695 (74.6%) untreated] in 2021. The main reasons for not seeking treatment for chronic pain was "my pain is tolerable" and for migraine, "I can manage my pain with over-the-counter drugs." Background factors significantly associated with untreated chronic pain were younger age, less time required to access the nearest medical institution, less pain, higher activities of daily living (ADL) scores, and lower awareness of generic drugs and AG. Among patients with migraine, notable characteristics included being female, having shorter travel times to the nearest medical facility, residing in municipalities with populations under 50,000, experiencing moderate to severe pain, having higher ADL scores, and displaying lower awareness of AG. The AG awareness rate was 2-fold higher in treated patients than in untreated patients. Educating patients regarding the risks associated with pain and its underlying causes, availability of inexpensive treatment options, and location of appropriate treatment facilities may increase treatment rates.

Characterization and effectiveness of a Fracture Liaison Services program in Colombia

PurposeFracture Liaison Services programs reduce mortality and the risk of refracture and increase treatment and adherence rates. Greater coverage is an important priority for the future. The aim was to determine the characteristics of patients over 50 years old who suffered fractures and the effectiveness of a Fracture Liaison Services program in a health care institution in Colombia.MethodsThis was a retrospective follow-up study of a cohort of patients with vertebral and nonvertebral fractures managed in a Fracture Liaison Services program. Sociodemographic, clinical and pharmacological variables were identified. Key performance indicators were used to evaluate the effectiveness of the program. Descriptive and bivariate analysis was performed.ResultsA total of 438 patients were analyzed. The average age was 77.5 years, and 78.5% were women. Hip and vertebral fractures were the most common (25.3% and 24.9%, respectively). Vertebral fractures prevailed in men (33.0% vs 22.7%; p = 0.041) and those of the radius/ulna in women (20.3% vs 10.6%; p = 0.031). A total of 29.7% had experienced a previous fracture, and 16.7% had received antiosteoporosis drugs. A total of 63.5% of the cases were managed surgically. At discharge, 58.8% received prescriptions for calcium/vitamin D, and 50.7% with prescriptions of antiosteoporotic therapy, especially teriparatide (21.2%) and denosumab (16.4%), without significant differences by sex. However, in women with hip fractures, anti-osteoporotic management prevailed (83.7% vs 64.0; p = 0.032). The effectiveness of the overall program per year was 74.6%. On follow-up, only 9.1% of patients had experienced a new fall, and of those 3.7% presented a new fracture. A total of 4.3% died during follow-up.ConclusionsGood adherence to the recommendations of the country's clinical practice guidelines was found, and overall, the effectiveness of the program was very satisfactory, with a low incidence of new fractures during follow-up.SummaryFracture Liaison Services programs reduce mortality and the risk of refracture. A retrospective follow-up study of a cohort of patients with vertebral and nonvertebral fractures managed in a Fracture Liaison Services, showed that the effectiveness was 73.6%. On follow-up, 9.1% of patients had experienced a new fall, and of those 3.7% presented a new fracture.

Increasing Treatment Rates for Hepatitis C in Primary Care.

Despite antiviral agents that can cure the disease, many individuals with Hepatitis C Virus (HCV) remain untreated. Primary care clinicians can play an important role in HCV treatment but often feel they do not have the requisite skills. We implemented a population-based improvement intervention over 10 months to support treatment of HCV in a primary care setting. The intervention included a decision-support tool, education for clinicians, enhanced interprofessional team supports, mentorship, and proactive patient outreach. We used process and outcome measures to understand the impact on the proportion of patients who initiated treatment and achieved Sustained Virologic Response (SVR). We used physician focus groups and pharmacist interviews to understand the context and mechanisms influencing the impact of the intervention. Between December 2018 and June 2020, the percentage of HCV RNA positive patients who started treatment rose from 66.0% (354/536) to 75.5% (401/531) with 92.5% (371/401) of those starting treatment achieving SVR. Qualitative findings highlighted that the intervention helped raise awareness and confidence among physicians for treating HCV in primary care. A collaborative team environment, education, mentorship, and a decision-support tool integrated into the electronic record were all enablers of success although patient psychosocial complexity remained a barrier to engagement in treatment. A multifaceted primary care improvement initiative increased clinician confidence and was associated with an increase in the proportion of HCV RNA positive patients who initiated curative treatment.

Implementation and scale-up of a single-visit, screen-and-treat approach with thermal ablation for sustainable cervical cancer prevention services: a protocol for a stepped-wedge cluster randomized trial in Kenya

BackgroundAn important cervical cancer prevention strategy in low- and middle-income countries (LMICs) has been single-visit screen-and-treat (SV-SAT) approach, using visual inspection with acetic acid (VIA) and ablative treatment with cryotherapy to manage precancerous lesions. While SV-SAT with VIA and cryotherapy have established efficacy, its population level coverage and impact on reducing cervical cancer burden remains low. In Kenya, the estimated cervical cancer screening uptake among women aged 30–49 is 16% and up to 70% of screen-positive women do not receive treatment. Thermal ablation for treatment of precancerous lesions of the cervix is recommended by the World Health Organization and has the potential to overcome logistical challenges associated with cryotherapy and facilitate implementation of SV-SAT approach and increase treatment rates of screen-positive women. In this 5-year prospective, stepped-wedge randomized trial, we plan to implement and evaluate the SV-SAT approach using VIA and thermal ablation in ten reproductive health clinics in central Kenya.MethodsThe study aims to develop and evaluate implementation strategies to inform the national scale-up of SV-SAT approach with VIA and thermal ablation through three aims: (1) develop locally tailored implementation strategies using multi-level participatory method with key stakeholders (patient, provider, system-level), (2) implement SV-SAT approach with VIA and thermal ablation and evaluate clinical and implementation outcomes, and (3) assess the budget impact of SV-SAT approach with VIA and thermal ablation compared to single-visit, screen-and-treat method using cryotherapy.DiscussionOur findings will inform national scale-up of the SV-SAT approach with VIA and thermal ablation. We anticipate that this intervention, along with tailored implementation strategies will enhance the adoption and sustainability of cervical cancer screening and treatment compared to the standard of care using cryotherapy.Trial registrationNCT05472311.

Dynamics and data fitting of a time-delayed SIRS hepatitis B model with psychological inhibition factor and limited medical resources

Hepatitis B is an infectious disease worthy of attention. Considering the incubation period, psychological inhibition factor, vaccine, limited medical resources and horizontal transmission, an SIRS model is proposed to describe hepatitis B transmission dynamics. In order to describe the behavior changes caused by people’s psychological changes, the non-monotonic incidence rate is adopted in the model. We use the saturated treatment rate to describe the limited medical resources. Mathematical analysis shows the existence conditions of the equilibria, forward or backward bifurcation, Hopf bifurcation and the Bogdanov–Takens bifurcation. During the observation of the case data of hepatitis B in China, it is found that there are mainly three features, periodic outbreaks, aperiodic outbreaks, and periodic outbreaks turns to aperiodic outbreaks. According to the above features, we select three different representative regions, Jiangxi, Zhejiang province and Beijing, and then use our model to fit the actual monthly hepatitis B case data. The basic reproduction numbers that we estimated are 1.7712, 1.4805 and 1.4132, respectively. The results of data fitting are consistent with those of theoretical analysis. According to the sensitivity analysis of [Formula: see text], we conclude that reducing contact, increasing treatment rate, strengthening vaccination and revaccinating can effectively prevent and control the prevalence of hepatitis B.

The impact of attrition on the transmission of HIV and drug resistance: A mathematical modelling study.

Attrition due to loss to follow-up or termination of antiretroviral therapy (ART) among HIV-infected patients in care may increase the risk of emergence and transmission of drug resistance (TDR), diminish benefit of treatment, and increase morbidity and mortality. Understanding the impact of attrition on the epidemic is essential to provide interventions for improving retention in care. We developed a comprehensive HIV transmission dynamics model by considering CD4+ cell count dependent diagnosis, treatment, and attrition involving TDR and acquired drug resistance. The model was calibrated by 11 groups HIV/AIDS surveillance data during 2008-2018 from Guangxi, China, and validated by the prevalence of TDR among diagnosed treat-naive individuals. We aimed to investigate how attrition would affect the transmission of HIV and drug-resistance when expanding ART. In the base case with CD4+ cell count dependent per capita attrition rates 0.025∼0.15 and treatment rates 0.23∼0.42, we projected cumulative total new infections, new drug-resistant infections, and HIV-related deaths over 2022-2030 would be 145 391, 7637, and 51 965, respectively. Increasing treatment rates by 0.1∼0.2 can decrease the above total new infections (deaths) by 1.63∼2.93% (3.52∼6.16%). However, even 0.0114∼0.0220 (0.0352∼0.0695) increase in attrition rates would offset this benefit of decreasing infections (deaths). Increasing treatment rates (attrition rates) by 0.05∼0.1 would increase the above drug-resistant infections by 0.16∼0.30% (22.18∼41.15%). A minor increase in attrition can offset the benefit of treatment expansion and increase the transmission of HIV drug resistance. Reducing attrition rates for patients already in treatment may be as important as expanding treatment for untreated patients.

A multi-host schistosomiasis model with seasonality and time-dependent delays

Schistosomiasis is a parasitic disease caused by Schistosoma Japonicum that is transmitted by freshwater snails. Humans and some mammals are hosts of Schistosoma Japonicum. In this paper, we propose a multi-host (human-snail-bovine) schistosomiasis model with seasonality and temperature-dependent delays. We first introduce the basic reproduction number $ \mathcal R_0 $ for the whole system and the basic reproduction number $ \mathcal {\hat R}_0 $ for the system in the absence of bovines, respectively. Then we determine the extinction and persistence of the disease in terms of $ \mathcal R_0 $ and $ \mathcal {\hat R}_0 $. In the presence of susceptible humans, snails and bovines, we show that the disease persists if $ \mathcal R_0&gt;1 $ and dies out if $ \mathcal R_0&lt;1 $. As an application of our model, we study the transmission tendency of the schistosomiasis in Hubei province, China. Our numerical simulations indicate that the schistosomiasis incidences in both humans and bovines decline in an oscillatory way, but cannot disappear completely in the near future. A sensitivity analysis suggests that enhancing environmental disinfection, increasing treatment rate for both infected humans and bovines, replacing cattle with machine, and controlling the growth of snail population should be the effective measures for the prevention and control of schistosomiasis.

Modeling HCV elimination recovery following the COVID-19 pandemic in the United States: Pathways to regain progress

BackgroundAs of 2019, the United States (US) was not on track to achieve targets for elimination, due to increasing incidence and treatment barriers. In 2020, the COVID-19 pandemic disrupted HCV services globally and in the US. As healthcare services normalize, there is an urgent need to reassess progress and evaluate scenarios that restore a pathway toward HCV elimination. MethodsWe updated a validated Markov model to estimate HCV-related morbidity and mortality in the US. Five scenarios were developed to bookend possible HCV outcomes in the wake of the pandemic. These included 1) return to pre-COVID-19 treatment forecasts; 2) achieve elimination targets through treatment and harm reduction; 3) long-term treatment disruptions; 4/5) achieve elimination targets through increased treatment without increased harm reduction, starting in either 2022 or 2025. FindingsFrom 2014–2019, more than 1.2 million patients were treated for HCV in the US. Elimination targets in 2030 could be achieved in the US by treating an additional 3.2–3.3 million patients from 2020 to 2030, or by preventing new infections through expanded harm reduction programs and treating up to 2.7 million patients. Intervention scenarios could prevent over 30,000 HCC cases and over 29,000 liver-related deaths. InterpretationThe US has made strides toward HCV elimination, but gains could be lost in the wake of the pandemic. However, it is still possible to avert nearly 30,000 deaths through increased harm reduction and increased treatment rates. This requires a coordinated effort from the entire HCV community.

Mathematical modelling Treponema infection in free-ranging Olive baboons (Papio anubis) in Tanzania

Yaws is a chronic infection caused by the bacterium Treponema pallidum susp. pertenue (TPE) that was thought to be an exclusive human pathogen but was recently found and confirmed in nonhuman primates. In this paper, we develop the first compartmental ODE model for TPE infection with treatment of wild olive baboons. We solve for disease-free and endemic equilibria and give conditions on local and global stability of the disease-free equilibrium. We calibrate the model based on the data from Lake Manyara National Park in Tanzania. We use the model to help the park managers devise an effective strategy for treatment. We show that an increasing treatment rate yields a decrease in disease prevalence. This indicates that TPE can be eliminated through intense management in closed population. Specifically, we show that if the whole population is treated at least once every 5-6 years, a disease-free equilibrium can be reached. Furthermore, we demonstrate that to see a substantial decrease of TPE infection to near-elimination levels within 15 years, the whole population needs to be treated every 2-3 years.

Racial-Ethnic Differences in Treatment Initiation for New Diagnoses of Perinatal Depression.

The adverse consequences of untreated perinatal depression highlight the need to identify populations to target in order to increase treatment rates. The authors sought to evaluate treatment initiation for a new diagnosis of depression during pregnancy or postpartum and to describe racial-ethnic differences in initiation and type (psychotherapy, antidepressants) of treatment in a large health care system with universal perinatal depression screening. This retrospective cohort study included women who delivered a live birth in the Kaiser Permanente Northern California system between October 2012 and May 2017. Black, Latina, Asian, and White women ages ≥15 years were eligible. New depression diagnoses were defined by using ICD-9 and ICD-10 codes from electronic health records. Treatment initiation was defined as receiving at least one antidepressant medication dispensation or psychotherapy visit up to 90 days after the diagnosis. Modified Poisson regression was used to estimate the risk for initiating treatment and the type of treatment initiated. In total, 13,637 women with a new depression diagnosis (prenatal: N=7,041, 51.6%; postpartum: N=6,596, 48.4%) were identified. Of the pregnant women, 31.4% initiated treatment, and of the postpartum women, 73.1% initiated treatment. Latina and Asian women were less likely than White women to initiate treatment postpartum. During pregnancy and postpartum, non-White women were more likely to initiate psychotherapy. White women were more likely to initiate antidepressant medication during pregnancy and postpartum or a combination of antidepressant medication and psychotherapy during the postpartum period. Research is warranted to identify patient-, provider-, and system-level barriers that contribute to racial-ethnic disparities in perinatal mental health care.

Osteoporosis Treatment After Osteoporotic Fractures: Data From a Single Medical Center

ObjectiveMost patients do not receive osteoporosis treatment after osteoporotic fracture. This study reviewed osteoporosis treatment after osteoporotic fractures in a center without a Fracture Liaison Service. MethodsWe identified all patients with hip, vertebral, humeral or radial fractures, evaluated in Meir Medical Center, in 2017. The exclusion criteria were not a Clalit Health Services member, high-energy fracture or 30-day postoperative mortality. The primary endpoint was osteoporosis drugs issued within 12 months of fracture. Secondary endpoints included bone densitometry and 1-year mortality. ResultsFive-hundred-eighty-two patients (average age 78.6 ± 11.1 years, 75.8% women) were included. There were 321 (55.5%) hip, 84 (14.1%) humeral, 33 (5.6%) vertebral, and 144 (24.7%) radial fractures. Osteoporosis drugs were issued to 26.5% of the patients; those with humeral fractures received the least (21.4%) and vertebral, the most (30.3%; P = .51). Bone densitometry was performed in 23.2% of patients. One-year mortality after hip fracture was 12.1%, followed by humeral (3.6%; P < .05). Logistic regression showed that previous treatment (odds ratio [OR] = 7.4; 95% confidence interval [CI] 3.6–15.2), bone densitometry (OR = 4.4; 95% CI 2.6–7.4) and endocrinology visit (OR = 2.6; 95% CI, 1.4–4.6) were the most important factors associated with treatment. ConclusionFewer than one third of patients received pharmacotherapy within 1 year after fracture. Because pharmacotherapy reduces future fractures and mortality, we recommend that medical staff who care for patients with fracture adopt practical and effective strategies to increase treatment rates among patients with osteoporotic fractures.

Interdisciplinary collaboration in the treatment of alcohol use disorders in a general hospital department: a mixed-method study

BackgroundInterdisciplinary collaborations (i.e., where various disciplines work coordinated and interdependently toward shared goals) are stated to yield higher team effectiveness than multidisciplinary approaches (i.e., where various disciplines work in parallel within their professional boundaries) in somatic health care settings. Nevertheless, research is lacking on interdisciplinary approaches for alcohol use disorder (AUD) treatment of hospitalized patients as these types of approaches are still uncommon. This study aims to evaluate an innovative interdisciplinary AUD treatment initiative at a general hospital department by 1) identifying which and to what extent network partners are involved and 2) to explore how network partners experienced the interdisciplinary collaboration.MethodsA mixed-method study was conducted, using 1) measures of contact frequency and closeness in a social network analysis and 2) semi-structured interviews, which were analyzed thematically. Respondents were network partners of an interdisciplinary collaboration in a general hospital department, initially recruited by the collaborations’ project leader.ResultsThe social network analysis identified 16 network partners, including a ‘core’ network with five central network partners from both inside and outside the hospital. The project leader played an important central role in the network and the resident gastroenterologist seemed to have a vulnerable connection within the network. Closeness between network partners was experienced regardless of frequency of contact, although this was especially true for the ‘core’ group that (almost) always consisted of the same network partners that were present at biweekly meetings. Interview data showed that presence of the ‘core’ network partners was reported crucial for an efficient collaboration. Respondents desired knowledge about the collaborations’ effectiveness, and one structured protocol with working procedures, division of responsibilities and agreements on information sharing and feedback.ConclusionsThe design of this interdisciplinary collaboration has potential in improving the treatment of hospital patients with AUD and was evaluated positively by the involved network partners. Interdisciplinary collaborations may offer a critical solution to increase treatment rates of patients with AUD and should be adopted in hospitals on a larger scale. Research towards the effectiveness of interdisciplinary collaborations in the treatment of hospitalized patients with AUD is needed.

Transmission of gram-negative antibiotic-resistant bacteria following differing exposure to antibiotic-resistance reservoirs in a rural community: a modelling study for bloodstream infections

Exposure to community reservoirs of gram-negative antibiotic-resistant bacteria (GN-ARB) genes poses substantial health risks to individuals, complicating potential infections. Transmission networks and population dynamics remain unclear, particularly in resource-poor communities. We use a dynamic compartment model to assess GN-ARB transmission quantitatively, including the susceptible, colonised, infected, and removed populations at the community-hospital interface. We used two side streams to distinguish between individuals at high- and low-risk exposure to community ARB reservoirs. The model was calibrated using data from a cross-sectional cohort study (N = 357) in Chile and supplemented by existing literature. Most individuals acquired ARB from the community reservoirs (98%) rather than the hospital. High exposure to GN-ARB reservoirs was associated with 17% and 16% greater prevalence for GN-ARB carriage in the hospital and community settings, respectively. The higher exposure has led to 16% more infections and attributed mortality. Our results highlight the need for early-stage identification and testing capability of bloodstream infections caused by GN-ARB through a faster response at the community level, where most GN-ARB are likely to be acquired. Increasing treatment rates for individuals colonised or infected by GN-ARB and controlling the exposure to antibiotic consumption and GN-ARB reservoirs, is crucial to curve GN-ABR transmission.