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Background Waiting times for hospital appointments, treatment and/or surgery have become a major political and health service problem, leading to national maximum waiting times and policies to reduce waiting times. Quantitative studies have documented waiting times for various types of surgery and longer waiting times in public vs private hospitals. However, very little qualitative research has explored patient experiences of waiting, how this compares between public and private hospitals, and the implications for trust in hospitals and healthcare professionals. The aim of this paper is to provide a deep understanding of the impact of waiting times on patient trust in public and private hospitals. Methods A qualitative study in South Australia, including 36 in-depth interviews (18 from public and 18 from private hospitals). Data collection occurred in 2012–13, and data were analysed using pre-coding, followed by conceptual and theoretical categorisation. Results Participants differentiated between experiences of ‘waiting for’ (e.g. for specialist appointments and surgery) and ‘waiting in’ (e.g. in emergency departments and outpatient clinics) public and private hospitals. Whilst ‘waiting for’ public hospitals was longer than private hospitals, this was often justified and accepted by public patients (e.g. due to reduced government funding), therefore it did not lead to distrust of public hospitals. Private patients had shorter ‘waiting for’ hospital services, increasing their trust in private hospitals and distrust of public hospitals. Public patients also recounted many experiences of longer ‘waiting in’ public hospitals, leading to frustration and anxiety, although they rarely blamed or distrusted the doctors or nurses, instead blaming an underfunded system and over-worked staff. Doctors and nurses were seen to be doing their best, and therefore trustworthy. Conclusion Although public patients experienced longer ‘waiting for’ and ‘waiting in’ public hospitals, it did not lead to widespread distrust in public hospitals or healthcare professionals. Private patients recounted largely positive stories of reduced ‘waiting for’ and ‘waiting in’ private hospitals, and generally distrusted public hospitals. The continuing trust by public patients in the face of negative experiences may be understood as a form of exchange trust norm , in which institutional trust is based on base-level expectations of consistency and minimum standards of care and safety. The institutional trust by private patients may be understood as a form of communal trust norm , whereby trust is based on the additional and higher-level expectations of flexibility, reduced waiting and more time with healthcare professionals.

Coronavirus disease 2019 (COVID-19) impacted outcomes of persons with chronic respiratory diseases such as chronic obstructive pulmonary disease (COPD). This study investigated the differences in respiratory interventions, hospital utilization, smoking status, and 30-day readmission in those with COPD and COVID-19 based on hospital survival status. A retrospective cross-sectional study was conducted from February 2020 to October 2020 and included persons with COPD and COVID-19 infection. We examined respiratory interventions, hospital utilization and outcomes, and 30-day hospital readmission. Chi-square test analysis was used to assess categorical variables, and -test or Mann-Whitney was used to analyze continuous data based on normality. Ninety persons were included in the study, 78 (87%) were survivors. The most common comorbidity was hypertension 71 (78.9%) ( = 0.003). Twenty-two (24%) persons were intubated, from whom 12 (15%) survived ( < 0.001). There were 25 (32.1%) and 12 (100%), ( < 0.001) persons who required an ICU admission from the survivor and non-survivor groups, respectively. Among the survivor group, fifteen (19%) persons required 30-day hospital readmission. Persons with COPD and COVID-19 had a lower mortality rate (13%) compared to other studies in the early pandemic phase. Non-survivors had increased ICU utilization, endotracheal intubation, and more frequent application of volume control mode. Discharging survivors to long-term acute care facilities may reduce 30-day hospital readmissions.

Background Food insecurity, or the uncertain availability of nutritionally adequate, safe foods, has been associated with poor HIV outcomes. There are few data on the extent to which food insecurity impacts patterns of health-care utilization among HIV-infected individuals. Objective We examined whether food insecurity was associated with hospitalizations, Emergency Department (ED) visits, and non-ED outpatient visits. Methods HIV-infected, homeless and marginally housed individuals participating in the San Francisco Research on Access to Care in the Homeless (REACH) cohort underwent quarterly structured interviews and blood draws. We measured food insecurity with the validated Household Food Insecurity Access Scale, and categorized participants as food secure, mild/moderately food insecure, and severely food insecure. Primary outcomes were: (1) any hospitalizations, (2) any ED visits, and (3) any non-ED outpatient visits. Generalized estimating equations were used to estimate model parameters, adjusting for socio-demographic (age, sex, ethnicity, education, income, housing status, health insurance) and clinical variables (CD4 nadir, time on antiretroviral therapy, depression, and illicit drug use). Results Beginning in November 2007, 347 persons were followed for a median of 2 years. Fifty-six percent of participants were food insecure at enrollment. Compared with food-secure persons, those with severe food insecurity had increased odds of hospitalizations [adjusted odds ratio (AOR) = 2.16, 95 % confidence interval (CI) = 1.50–3.09] and ED visits (AOR = 1.71, 95 % CI = 1.06–2.30). While the odds of an outpatient visit were 41 % higher for severely food insecure individuals, the effect was not statistically significant (AOR = 1.41, 95 % CI = 0.99–2.01). Mild/moderate food insecurity was also associated with increased hospitalizations (AOR = 1.56, 95 % CI = 1.06–2.30), ED visits (AOR = 1.57, 95 % CI = 1.22–2.03), and outpatient visits (AOR = 1.68, 95 % CI = 1.20–2.17). Conclusions Food insecurity is associated with increased health services utilization among homeless and marginally housed HIV-infected individuals in San Francisco. Increased ED visits and hospitalizations are not related to fewer ambulatory care visits among food-insecure individuals. Addressing food insecurity should be a critical component of HIV treatment programs and may reduce reliance on acute care utilization.

During the study, the number of emergency department visits for cancer-related complications increased from 3·3 million (2006) to 4·8 million (2012). The most common complications were pneumonia (4·5%), non-specific chest pain (3·7%), urinary tract infections (3·2%), and septicaemia (3·1%), while those most likely to lead to an inpatient admission were septicaemia (98·0%), intestinal blockage (91·2%), and congestive heart failure (90·8%).

Background: CA125 is a high molecular weight glycoprotein, which is expressed by a large proportion of epithelial ovarian cancers. The sensitivity and specificity of CA125 are poor and there are no guidelines produced by the Royal College of Pathologists or the Association of Clinical Biochemists to aid clinicians and laboratories in its most appropriate use. Aim: To identify the patient population having a CA125 measurement and to determine its contribution to individual patient management. Methods: A retrospective case note audit looking at patients who had a CA125 measurement performed between April 2000 and April 2002. Results: The study comprised 799 patients; 751 (94%) were female and 48 (6%) male; 221 (29%) females and 22 (46%) males had an abnormal result. CA125 was mainly used to investigate a wide range of signs and symptoms, and few tests were for follow up or screening of ovarian cancer. In female patients having a CA125 for suspicion of malignancy/ovarian cancer, only 39 (20%) of the abnormal results were caused by ovarian cancer. False positive results were largely caused by another malignancy (48 cases; 26%), benign ovarian disease (26 cases; 14%), and benign gynaecological conditions, particularly leiomyomas (18 cases; 9%). The specificity of CA125 for ovarian cancer increased with concentrations >1000 kU/litre. Conclusions: These results confirm the high false positive rate and poor sensitivity and specificity associated with CA125. The substantial inappropriate usage of CA125 has led to results that are useless to the clinician, have cost implications, and add to patient anxiety and clinical uncertainty.

Background As healthcare systems strive for efficiency, hospital “length of stay outliers” have the potential to significantly impact a hospital’s overall utilization. There is a tendency to exclude such “outlier” stays in local quality improvement and data reporting due to their assumed rare occurrence and disproportionate ability to skew mean and other summary data. This study sought to assess the influence of length of stay (LOS) outliers on inpatient length of stay and hospital capacity over a 5-year period at a large urban academic medical center. Methods From January 2014 through December 2019, 169,645 consecutive inpatient cases were analyzed and assigned an expected LOS based on national academic center benchmarks. Cases in the top 1% of national sample LOS by diagnosis were flagged as length of stay outliers. Results From 2014 to 2019, mean outlier LOS increased (40.98 to 45.11 days), as did inpatient LOS with outliers excluded (5.63 to 6.19 days). Outlier cases increased both in number (from 297 to 412) and as a percent of total discharges (0.98 to 1.56%), and outlier patient days increased from 6.7 to 9.8% of total inpatient plus observation days over the study period. Conclusions Outlier cases utilize a disproportionate and increasing share of hospital resources and available beds. The current tendency to exclude such outlier stays in data reporting due to assumed rare occurrence may need to be revisited. Outlier stays require distinct and targeted interventions to appropriately reduce length of stay to both improve patient care and maintain hospital capacity.

Develops a model using Aotearoa New Zealand’s unique Covid-19 data streams to predict reported Covid-19 cases, hospital admissions and hospital occupancy. Evaluates forecast performance against out-of-sample data over the period from 2 October 2022 to 23 July 2023. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.

Background Although Norway is well known for its early use of telemedicine to provide services for people in rural and remote areas in the Arctic, little is known about the pace of telemedicine adoption in Norway. The aim of the present study was to explore the statewide implementation of telemedicine in Norwegian hospitals over time, and analyse its adoption and level of use. Methods Data on outpatient visits and telemedicine consultations delivered by Norwegian hospitals from 2009 to 2013 were collected from the national health registry. Data were stratified by health region, hospital, year, and clinical specialty. Results All four health regions used telemedicine, i.e. there was 100 % adoption at the regional level. The use of routine telemedicine differed between health regions, and telemedicine appeared to be used mostly in the regions of lower centrality and population density, such as Northern Norway. Only Central Norway seemed to be atypical. Twenty-one out of 28 hospitals reported using telemedicine, i.e. there was 75 % adoption at the hospital level. Neurosurgery and rehabilitation were the clinical specialties where telemedicine was used most frequently. Despite the growing trend and the high adoption, the relative use of telemedicine compared to that of outpatient visits was low. Conclusions Adoption of telemedicine is Norway was high, with all the health regions and most of the hospitals reporting using telemedicine. The use of telemedicine appeared to increase over the 5-year study period. However, the proportion of telemedicine consultations relative to the number of outpatient visits was low. The use of telemedicine in Norway was low in comparison with that reported in large-scale telemedicine networks in other countries. To facilitate future comparisons, data on adoption and utilisation over time should be reported routinely by statewide or network-based telemedicine services.

Background Suicidal behaviours are major public health concerns worldwide. They are associated with risk factors that vary with age and gender, occur in combination, and may change over time. The aim of our study was to investigate how frequently patients visiting a hospital emergency room (ER) require a psychiatric consultation for attempted suicide, and to outline the characteristics of this population. Methods Determinants of emergency room visits for psychiatric reasons were studied prospectively from 2008 to 2011 at the “Maggiore” Hospital in Novara. Results 280 out of 1888 patients requiring psychiatric consultation were referred to the ER because of suicide attempt. Suicide attempters were more often female. The rate of suicide attempters among Italian people was 14.2%, compared to 19.5% in foreigners. Subjects living with parents or own family and those having a permanent job had a higher frequency of suicide attempt. Suicide attempts were more frequent among patients with a history of psychiatric disorders; nonetheless, suicide attempts were more common among those who had not previously been hospitalized in a psychiatric ward or were not under the care of a psychiatrist. The multivariate analysis found that female gender was a risk factor for suicide attempt, while being in the colder months of the year and, surprisingly, unemployment were protective factors. Conclusions A better understanding of patients referring to the ER due to attempted suicide may allow the identification of at-risk subjects and the implementation of targeted treatment approaches.

Abstract Objective To compare the utilisation of hospital beds in the NHS in England, Kaiser Permanente in California, and the Medicare programme in the United States and California. Design Analysis of routinely available data from 2000 and 2001 on inpatient admissions, lengths of stay, and bed days in populations aged over 65 for 11 leading causes of use of acute beds. Setting Comparison of NHS data with data from Kaiser Permanente in California and the Medicare programme in California and the United States; interviews with Kaiser Permanente staff and visits to Kaiser facilities. Results Bed day use in the NHS for the 11 leading causes is three and a half times that of Kaiser's standardised rate, almost twice that of the Medicare California's standardised rate, and more than 50% higher than the standardised rate in Medicare in the United States. Kaiser achieves these results through a combination of low admission rates and relatively short stays. The lower use of bed days in Medicare in California compared with Medicare in the United States suggests there is a “California effect” as well as a “Kaiser effect” in hospital utilisation. Conclusion The NHS can learn from Kaiser's integrated approach, the focus on chronic diseases and their effective management, the emphasis placed on self care, the role of intermediate care, and the leadership provided by doctors in developing and supporting this model of care.