Linking migration and hospital data in England: linkage process and evaluation of bias.

Introduction: Difficulties ascertaining migrant status in national data sources such as hospital records have limited large-scale evaluation of migrant healthcare needs in many countries, including England. Linkage of immigration data for migrants and refugees, with National Health Service (NHS) hospital care data enables research into the relationship between migration and health for a large cohort of international migrants. Objectives: We aimed to describe the linkage process and compare linkage rates between migrant sub-groups to evaluate for potential bias for data on non-EU migrants and resettled refugees linked to Hospital Episode Statistics (HES) in England. Methods: We used stepwise deterministic linkage to match records from migrants and refugees to a unique healthcare identifier indicating interaction with the NHS (linkage stage 1 to NHS Personal Demographic Services, PDS), and then to hospital records (linkage stage 2 to HES). We calculated linkage rates and compared linked and unlinked migrant characteristics for each linkage stage. Results: Of the 1,799,307 unique migrant records, 1,134,007 (63%) linked to PDS and 451,689 (25%) linked to at least one hospital record between 01/01/2005 and 23/03/2020. Individuals on work, student, or working holiday visas were less likely to link to a hospital record than those on settlement and dependent visas and refugees. Migrants from the Middle East and North Africa and South Asia were four times more likely to link to at least one hospital record, compared to those from East Asia and the Pacific. Differences in age, sex, visa type, and region of origin between linked and unlinked samples were small to moderate. Conclusion: This linked dataset represents a unique opportunity to explore healthcare use in migrants. However, lower linkage rates disproportionately affected individuals on shorter-term visas so future studies of these groups may be more biased as a result. Increasing the quality and completeness of identifiers recorded in administrative data could improve data linkage quality.

The Use of ICD-9-CM Coding to Identify COVID-19 Diagnoses and Determine Risk Factors for 30-Day Death Rate in Hospitalized Patients in Italy: Retrospective Study.

BACKGROUND: In Italy, it has been difficult to accurately quantify hospital admissions of patients with a COVID-19 diagnosis using the Hospital Information System (HIS), mainly due to the heterogeneity of codes used in the hospital discharge records during different waves of the COVID-19 pandemic. OBJECTIVE: The objective of this study was to define a specific combination of codes to identify the COVID-19 hospitalizations within the HIS and to investigate the risk factors associated with mortality due to COVID-19 among patients admitted to Italian hospitals in 2020. METHODS: A retrospective study was conducted using the hospital discharge records, provided by more than 1300 public and private Italian hospitals. Inpatient hospitalizations were detected by implementing an algorithm based on specific International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code combinations. Hospitalizations were analyzed by different clinical presentations associated with COVID-19 diagnoses. In addition, 2 multivariable Cox regression models were performed among patients hospitalized "due to COVID-19" from January 1 to December 31, 2020, to investigate potential risk factors associated with 30-day death and the temporal changes over the course of the pandemic; in particular, the 30-day death rates during the first and the second waves were analyzed across 3 main geographical areas (North, Center, and South and Islands) and by discharge wards (ordinary and intensive care). RESULTS: We identified a total of 325,810 hospitalizations with COVID-19-related diagnosis codes. Among these, 73.4% (n=239,114) were classified as "due to COVID-19," 14.5% (n=47,416) as "SARS-CoV-2 positive, but not due to COVID-19," and 12.1% (n=39,280) as "suspected COVID-19" hospitalizations. The cohort of patients hospitalized "due to COVID-19" included 205,048 patients, with a median age of 72 years and a higher prevalence of male patients (n=124,181, 60.6%). The overall 30-day death rate among hospitalized patients due to COVID-19 was 9.9 per 1000 person-days. Mortality was lower for women (hazard ratio [HR]=0.83; P<.001) and for patients coming from high migration pressure countries, especially Northern Africans (HR=0.65; P<.001) and Central and Eastern Europeans (HR=0.66; P<.001), compared to patients coming from Italy and high-income countries. In the southern regions and the Islands, mortality was higher compared to the northern regions (HR=1.17; P<.001), especially during the second wave of COVID-19 among patients with a transfer to intensive care units (HR=2.52; P<.001). CONCLUSIONS: To our knowledge, the algorithm is the first attempt to define, at a national level, selection criteria for identifying COVID-19 hospitalizations within the HIS. The implemented algorithm will be used to monitor the pandemic over time, and the patients selected in 2020 will be followed up in the next years to assess the long-term effects of COVID-19.

Agricultural Injury Surveillance in the United States and Canada: A Systematic Literature Review.

INTRODUCTION: Agricultural injuries remain a major concern in North America, with a fatal injury rate of 19.5 deaths per 100,000 workers in the United States. Numerous research efforts have sought to compile and analyze records of agricultural-related injuries and fatalities at a national level, utilizing resources, ranging from newspaper clippings and hospital records to Emergency Medical System (EMS) data, death certifications, surveys, and other multiple sources. Despite these extensive efforts, a comprehensive understanding of injury trends over extended time periods and across diverse types of data sources remains elusive, primarily due to the duration of data collection and the focus on specific subsets. METHODS: This systematic review, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, consolidates and analyzes agricultural injury surveillance data from 48 eligible papers published between 1985 and 2022 to offer a holistic understanding of trends and challenges. RESULTS: These papers, reporting an average of 25,000 injuries each, were analyzed by database source type, injury severity, nature of injury, body part, source of injury, event/exposure, and age. One key finding is that the top source of injury or event/exposure depends on the chosen surveillance system and injury severity, underscoring the need of diverse data sources for a nuanced understanding of agricultural injuries. CONCLUSION: This study provides policymakers, researchers, and practitioners with crucial insights to bolster the development and analysis of surveillance systems in agricultural safety. The overarching aim is to address the pressing issue of agricultural injuries, contributing to a safer work environment and ultimately enhancing the overall well-being of individuals engaged in agriculture.

Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: systematic development and multi-country operationalisation with NEST360.

BACKGROUND: Every Newborn Action Plan (ENAP) coverage target 4 necessitates national scale-up of Level-2 Small and Sick Newborn Care (SSNC) (with Continuous Positive Airway Pressure (CPAP)) in 80% of districts by 2025. Routine neonatal inpatient data is important for improving quality of care, targeting equity gaps, and enabling data-driven decision-making at individual, district, and national-levels. Existing neonatal inpatient datasets vary in purpose, size, definitions, and collection processes. We describe the co-design and operationalisation of a core inpatient dataset for use to track outcomes and improve quality of care for small and sick newborns in high-mortality settings. METHODS: A three-step systematic framework was used to review, co-design, and operationalise this novel neonatal inpatient dataset in four countries (Malawi, Kenya, Tanzania, and Nigeria) implementing with the Newborn Essential Solutions and Technologies (NEST360) Alliance. Existing global and national datasets were identified, and variables were mapped according to categories. A priori considerations for variable inclusion were determined by clinicians and policymakers from the four African governments by facilitated group discussions. These included prioritising clinical care and newborn outcomes data, a parsimonious variable list, and electronic data entry. The tool was designed and refined by > 40 implementers and policymakers during a multi-stakeholder workshop and online interactions. RESULTS: Identified national and international datasets (n = 6) contained a median of 89 (IQR:61-154) variables, with many relating to research-specific initiatives. Maternal antenatal/intrapartum history was the largest variable category (21, 23.3%). The Neonatal Inpatient Dataset (NID) includes 60 core variables organised in six categories: (1) birth details/maternal history; (2) admission details/identifiers; (3) clinical complications/observations; (4) interventions/investigations; (5) discharge outcomes; and (6) diagnosis/cause-of-death. Categories were informed through the mapping process. The NID has been implemented at 69 neonatal units in four African countries and links to a facility-level quality improvement (QI) dashboard used in real-time by facility staff. CONCLUSION: The NEST360 NID is a novel, parsimonious tool for use in routine information systems to inform inpatient SSNC quality. Available on the NEST360/United Nations Children's Fund (UNICEF) Implementation Toolkit for SSNC, this adaptable tool enables facility and country-level comparisons to accelerate progress toward ENAP targets. Additional linked modules could include neonatal at-risk follow-up, retinopathy of prematurity, and Level-3 intensive care.

Organizational and health professional readiness for the implementation of electronic medical record system: an implication for the current EMR implementation in northwest Ethiopia.

OBJECTIVE: The WHO developed a manual outlining the preliminary organizational and health professionals' readiness to implement electronic medical records (EMR). On the other hand, the readiness assessment in Ethiopia only includes the evaluation of health professionals, leaving out organisational readiness components. As a result, this research aimed to determine health professionals' and organizational readiness to implement EMR at a specialized teaching hospital. METHODS: An institutional-based cross-sectional study design was conducted among 423 health professionals and 54 managers. Self-administered and pretested questionnaires were used to collect data. Binary logistic regression analysis was used to identify factors associated with health professionals' readiness for EMR implementation. An OR with a 95% CI and p<0.05 was used to determine the strength of the association and the statistical significance, respectively. RESULTS: In this study, 53.7% management capacity, 33.3% finance and budget capacity, 42.6% operational capacity, 37.0% technology capability and 53.7% organisational alignment among the five dimensions evaluated to assess an organisation's readiness to implement an EMR system. Of 411 health professionals in this study, 173 (42.1%) with (95 CI 37.3% to 46.8%) were ready to implement an EMR system at the hospital. Sex (AOR 2.69, 95% CI 1.73 to 4.18), basic computer training (AOR 1.59, 95% CI 1.02 to 2.46), knowledge of EMR (AOR 1.88, 95% CI 1.19 to 2.97) and attitudes towards EMR (AOR 1.65, 95% CI 1.05 to 2.59) were significantly associated with health professionals' readiness towards EMR system implementation. CONCLUSIONS: Findings showed that most dimensions of organizational readiness for EMR implementation were below 50%. This study also revealed a lower level of EMR implementation readiness among health professionals compared with previous research studies' results. To improve organisational readiness to implement an electronic medical record system, a focus on management capability, financial and budget capability, operational capability, technical capability and organisational alignment was crucial. Likewise, having basic computer training, giving special attention to female health professionals and improving health professionals' knowledge of and attitudes towards EMR could help improve the readiness level of health professionals for implementing an EMR system.

From Genetics to Clinical Implications: A Study of 675 Dutch Osteogenesis Imperfecta Patients.

Osteogenesis imperfecta (OI) is a heritable connective tissue disorder that causes bone fragility due to pathogenic variants in genes responsible for the synthesis of type I collagen. Efforts to classify the high clinical variability in OI led to the Sillence classification. However, this classification only partially takes into account extraskeletal manifestations and the high genetic variability. Little is known about the relation between genetic variants and phenotype as of yet. The aim of the study was to create a clinically relevant genetic stratification of a cohort of 675 Dutch OI patients based on their pathogenic variant types and to provide an overview of their respective medical care demands. The clinical records of 675 OI patients were extracted from the Amsterdam UMC Genome Database and matched with the records from Statistics Netherlands (CBS). The patients were categorized based on their harbored pathogenic variant. The information on hospital admissions, outpatient clinic visits, medication, and diagnosis-treatment combinations (DTCs) was compared between the variant groups. OI patients in the Netherlands appear to have a higher number of DTCs, outpatient clinic visits, and hospital admissions when compared to the general Dutch population. Furthermore, medication usage seems higher in the OI cohort in comparison to the general population. The patients with a COL1A1 or COL1A2 dominant negative missense non-glycine substitution appear to have a lower health care need compared to the other groups, and even lower than patients with COL1A1 or COL1A2 haploinsufficiency. It would be useful to include the variant type in addition to the Sillence classification when categorizing a patient's phenotype.

Verification of administrative data to measure palliative care at terminal hospital stays.

BACKGROUND: Administrative data and clinician documentation have not been directly compared for reporting palliative care, despite concerns about under-reporting. OBJECTIVE: The aim of this study was to verify the use of routinely collected administrative data for reporting in-hospital palliation and to examine factors associated with coded palliative care in hospital administrative data. METHOD: Hospital administrative data and inpatient palliative care activity documented in medical records were compared for patients dying in hospital between 1 July 2017 and 31 December 2017. Coding of palliative care in administrative data is based on hospital care type coded as "palliative care" and/or assignment of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) palliative care diagnosis code Z51.5. Medical records were searched for specified keywords, which, read in context, indicated a palliative approach to care. The list of keywords (palliative, end of life, comfort care, cease observations, crisis medications, comfort medications, syringe driver, pain or symptom management, no cardiopulmonary resuscitation, advance medical plan/resuscitation plan, deteriorating, agitation, restless and delirium) was developed in consultation with seven local clinicians specialising in palliative care or geriatric medicine. RESULTS: Of the 576 patients who died in hospital, 246 were coded as having received palliative care, either solely by the ICD-10-AM diagnosis code Z51.5 (42%) or in combination with a "palliative care" care type (58%). Just over one-third of dying patients had a palliative care specialist involved in their hospital care. Involvement of a palliative care specialist and a cancer diagnosis substantially increased the odds of a Z51.5 code (odds ratio = 11 and 4, respectively). The majority of patients with a "syringe driver" or identified as being at the "end of life" were assigned a Z51.5 code (73.5% and 70.5%, respectively), compared to 53.8% and 54.7%, respectively, for "palliative" or "comfort care." For each keyword indicating a palliative approach to care, the Z51.5 code was more likely to be assigned if the patient had specialist palliative care input or if they had cancer. CONCLUSION: Our results suggest administrative data under-represented in-hospital palliative care, at least partly due to medical record documentation that failed to meet ICD-10-AM coding criteria. Collaboration between clinicians and coders can enhance the quality of records and, consequently, administrative data.

Audit of dental record-keeping at a university dental hospital.

Background: Good record-keeping is fundamental in clinical practice and essential for practising dental practitioners and those in training. Aim: This study aimed to evaluate the level of compliance with clinical record-keeping by undergraduate dental students and staff at a university dental hospital. Setting: The selected study setting was the Admissions and Emergency section at a university dental hospital. Methods: A retrospective, cross-sectional review was undertaken of 257 clinical records. The CRABEL scoring system was used to evaluate 12 variables. The 12 variables included: patient name, patient hospital number, date of examination, patient main complaint, medical history, dental history, proposed treatment, proposed procedure for next visit, patient consent signature, treatment and treatment codes, student name and signature, clinical supervisor name and signature. STATA® 13 was used for descriptive analysis and all tests were conducted at 5% significance level. Results: The median CRABEL score was 87 and interquartile range (IQR: 70-92). A CRABEL score of 100 was achieved by the students in the variable patient main complaint, indicating a 100% compliance with this variable. Other variables such as signature of supervisors showed poor compliance. The CRABEL scores showed no statistically significant difference (p = 0.86) between the students and clinical supervisors. Conclusion: The overall audit showed that there was poor compliance with record-keeping. Contribution: The study highlights the importance of good record keepings so that key information can be accessed for proper diagnosis and treatment of the patient. An electronic filing system presents an alternative manner of documenting medical records.

Audit of dental record-keeping at a university dental hospital

Background: Good record-keeping is fundamental in clinical practice and essential for practising dental practitioners and those in training. Aim: This study aimed to evaluate the level of compliance with clinical record-keeping by undergraduate dental students and staff at a university dental hospital. Setting: The selected study setting was the Admissions and Emergency section at a university dental hospital. Methods: A retrospective, cross-sectional review was undertaken of 257 clinical records. The CRABEL scoring system was used to evaluate 12 variables. The 12 variables included: patient name, patient hospital number, date of examination, patient main complaint, medical history, dental history, proposed treatment, proposed procedure for next visit, patient consent signature, treatment and treatment codes, student name and signature, clinical supervisor name and signature. STATA® 13 was used for descriptive analysis and all tests were conducted at 5% significance level. Results: The median CRABEL score was 87 and interquartile range (IQR: 70­92). A CRABEL score of 100 was achieved by the students in the variable patient main complaint, indicating a 100% compliance with this variable. Other variables such as signature of supervisors showed poor compliance. The CRABEL scores showed no statistically significant difference (p = 0.86) between the students and clinical supervisors. Conclusion: The overall audit showed that there was poor compliance with record-keeping. Contribution: The study highlights the importance of good record keepings so that key information can be accessed for proper diagnosis and treatment of the patient. An electronic filing system presents an alternative manner of documenting medical records.

Improving Cohort-Hospital Matching Accuracy through Standardization and Validation of Participant Identifiable Information.

Linking very large, consented birth cohorts to birthing hospitals clinical data could elucidate the lifecourse outcomes of health care and exposures during the pregnancy, birth and newborn periods. Unfortunately, cohort personally identifiable information (PII) often does not include unique identifier numbers, presenting matching challenges. To develop optimized cohort matching to birthing hospital clinical records, this pilot drew on a one-year (December 2020-December 2021) cohort for a single Australian birthing hospital participating in the whole-of-state Generation Victoria (GenV) study. For 1819 consented mother-baby pairs and 58 additional babies (whose mothers were not themselves participating), we tested the accuracy and effort of various approaches to matching. We selected demographic variables drawn from names, DOB, sex, telephone, address (and birth order for multiple births). After variable standardization and validation, accuracy rose from 10% to 99% using a deterministic-rule-based approach in 10 steps. Using cohort-specific modifications of the Australian Statistical Linkage Key (SLK-581), it took only 3 steps to reach 97% (SLK-5881) and 98% (SLK-5881.1) accuracy. We conclude that our SLK-5881 process could safely and efficiently achieve high accuracy at the population level for future birth cohort-birth hospital matching in the absence of unique identifier numbers.

Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia.

BACKGROUND: Routinely collected health administrative data can be used to estimate the prevalence or incidence of dementia at a population level but can be inaccurate. This study aimed to examine the accuracy of hospital and death data for diagnosing dementia compared with a clinical diagnosis in community dwelling older men in Australia. METHODS: We performed a retrospective analysis of the Concord Health and Ageing in Men Project (CHAMP) in Sydney, Australia. Of the 1705 men aged ≥70 years in the CHAMP study, 1400 had available linked administrative data records from 1 year prior to 1 year post the date of clinical dementia diagnosis. The primary outcome was the accuracy of dementia diagnosis using linked administrative data records compared to clinical dementia diagnosis. The linked data diagnosis was based on hospital and death records for the 1 year pre and post the clinical diagnosis. Clinical dementia diagnosis was a two-stage process with initial screening, followed by clinical assessment for those meeting a validated cut-off. A final clinical diagnosis of dementia based on the Diagnostic and Statistical Manual of Mental Disorders (4th edition) criteria was reached by a consensus panel. RESULTS: Administrative data identified 28 participants as having dementia, compared to 88 identified through clinical assessment. Administrative data had a sensitivity of 20% (95% CI: 13-30%, 18/88), specificity of 99% (95% CI: 99-100%, 1301/1312), positive predictive value (PPV) of 62% (95% CI: 44-77%), negative predictive value of 95% (95% CI: 94-95%), positive likelihood ratio of 24.4 (95% CI: 11.9-50.0) and negative likelihood ratio of 0.80 (0.72-0.89). CONCLUSIONS: Administrative hospital and death data has limited accuracy for dementia diagnosis with poor sensitivity and PPV. The prevalence of dementia is likely underestimated using hospital and deaths data.

Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study.

BACKGROUND: To better understand domestic violence, data sources from multiple sectors such as police, justice, health, and welfare are needed. Linking police data to data collections from other agencies could provide unique insights and promote an all-of-government response to domestic violence. The New South Wales Police Force attends domestic violence events and records information in the form of both structured data and a free-text narrative, with the latter shown to be a rich source of information on the mental health status of persons of interest (POIs) and victims, abuse types, and sustained injuries. OBJECTIVE: This study aims to examine the concordance (ie, matching) between mental illness mentions extracted from the police's event narratives and mental health diagnoses from hospital and emergency department records. METHODS: We applied a rule-based text mining method on 416,441 domestic violence police event narratives between December 2005 and January 2016 to identify mental illness mentions for POIs and victims. Using different window periods (1, 3, 6, and 12 months) before and after a domestic violence event, we linked the extracted mental illness mentions of victims and POIs to clinical records from the Emergency Department Data Collection and the Admitted Patient Data Collection in New South Wales, Australia using a unique identifier for each individual in the same cohort. RESULTS: Using a 2-year window period (ie, 12 months before and after the domestic violence event), less than 1% (3020/416,441, 0.73%) of events had a mental illness mention and also a corresponding hospital record. About 16% of domestic violence events for both POIs (382/2395, 15.95%) and victims (101/631, 16.01%) had an agreement between hospital records and police narrative mentions of mental illness. A total of 51,025/416,441 (12.25%) events for POIs and 14,802/416,441 (3.55%) events for victims had mental illness mentions in their narratives but no hospital record. Only 841 events for POIs and 919 events for victims had a documented hospital record within 48 hours of the domestic violence event. CONCLUSIONS: Our findings suggest that current surveillance systems used to report on domestic violence may be enhanced by accessing rich information (ie, mental illness) contained in police text narratives, made available for both POIs and victims through the application of text mining. Additional insights can be gained by linkage to other health and welfare data collections.

Characteristics and in-hospital morbidity trends associated with oral and oropharyngeal cancers in Brazil.

BACKGROUND: Brazil experienced an expansion of the population's access to oral health policies after the creation of the Unified Health System (SUS, Sistema Único de Saúde). Through public policies, the consolidation of Primary Health Care (PHC) and the incorporation of dental care into primary and hospital care took place. The objective of this study was to identify epidemiological aspects, including the temporal trend, of hospital morbidity from oral and oropharyngeal cancer in Brazil, considering hospitalizations for this neoplasm in a hospital network linked to the public care system. METHODS: Observational study based on information on hospital admissions for oral cancer throughout Brazil. The research used data from the Brazilian Cancer Registry Information System. For the temporal series analysis, generalized linear regression model was used with the Prais-Winsten method. RESULTS: Of the 121,971 patients hospitalized with oral and oropharyngeal cancers, 76.40% were male and 23.60% were female, resulting in a M:F ratio of 3.24:1. Regarding the anatomical region of involvement among hospitalized patients with oral cavity neoplastic lesions, there was a predominance in non-specific places in the mouth, such as the floor of the mouth, soft and hard palate, among others (32.68%), followed by lesions in the region of tongue (28.89%). In this population, the predominant age group was between the fifth decade (31.09%) and sixth decade of life (24.99%); men presented neoplastic lesions of oral and oropharyngeal cancers at an earlier age than women. In all regions of the country, the staging of cases diagnosed in the tertiary health network accredited to the José Alencar Gomes da Silva National Cancer Institute (INCA) was late, with higher tendency for metastasis. The temporal trend of the adjusted in-hospital morbidity rates showed to be increasing in the Northeast, South and Midwest regions for the male gender. For females, they were increasing in the Northeast and South regions. CONCLUSIONS: It is concluded that the distribution of in-hospital morbidity rates of oral and oropharyngeal cancers in the country is irregular. There is a greater number of cases identified by the study in male patients and in the Southeast and South regions; with an increasing tendency of this coefficient in both genders.

Establishing a colorectal cancer research database from routinely collected health data: the process and potential from a pilot study.

OBJECTIVE: Colorectal cancer is a common cause of death and morbidity. A significant amount of data are routinely collected during patient treatment, but they are not generally available for research. The National Institute for Health Research Health Informatics Collaborative in the UK is developing infrastructure to enable routinely collected data to be used for collaborative, cross-centre research. This paper presents an overview of the process for collating colorectal cancer data and explores the potential of using this data source. METHODS: Clinical data were collected from three pilot Trusts, standardised and collated. Not all data were collected in a readily extractable format for research. Natural language processing (NLP) was used to extract relevant information from pseudonymised imaging and histopathology reports. Combining data from many sources allowed reconstruction of longitudinal histories for each patient that could be presented graphically. RESULTS: Three pilot Trusts submitted data, covering 12 903 patients with a diagnosis of colorectal cancer since 2012, with NLP implemented for 4150 patients. Timelines showing individual patient longitudinal history can be grouped into common treatment patterns, visually presenting clusters and outliers for analysis. Difficulties and gaps in data sources have been identified and addressed. DISCUSSION: Algorithms for analysing routinely collected data from a wide range of sites and sources have been developed and refined to provide a rich data set that will be used to better understand the natural history, treatment variation and optimal management of colorectal cancer. CONCLUSION: The data set has great potential to facilitate research into colorectal cancer.

The First 110,593 COVID-19 Patients Hospitalised in Lombardy: A Regionwide Analysis of Case Characteristics, Risk Factors and Clinical Outcomes.

Objectives: To describe the monthly distribution of COVID-19 hospitalisations, deaths and case-fatality rates (CFR) in Lombardy (Italy) throughout 2020. Methods: We analysed de-identified hospitalisation data comprising all COVID-19-related admissions from 1 February 2020 to 31 December 2020. The overall survival (OS) from time of first hospitalisation was estimated using the Kaplan-Meier method. We estimated monthly CFRs and performed Cox regression models to measure the effects of potential predictors on OS. Results: Hospitalisation and death peaks occurred in March and November 2020. Patients aged ≥70 years had an up to 180 times higher risk of dying compared to younger patients [70-80: HR 58.10 (39.14-86.22); 80-90: 106.68 (71.01-160.27); ≥90: 180.96 (118.80-275.64)]. Risk of death was higher in patients with one or more comorbidities [1: HR 1.27 (95% CI 1.20-1.35); 2: 1.44 (1.33-1.55); ≥3: 1.73 (1.58-1.90)] and in those with specific conditions (hypertension, diabetes). Conclusion: Our data sheds light on the Italian pandemic scenario, uncovering mechanisms and gaps at regional health system level and, on a larger scale, adding to the body of knowledge needed to inform effective health service planning, delivery, and preparedness in times of crisis.

Completeness of cervical cancer staging information in Brazil: A national hospital-based study.

BACKGROUND: Cancer staging information in Hospital Cancer Registries (HCR) is essential for cancer care quality evaluations. This study aimed to analyze the completeness of cervical cancer staging in Brazilian HCR and identify individual and contextual factors associated with unknown staging. METHODS: The outcome analyzed was missing or unknown staging (Malignant Tumor Classification System and/or International Federation of Gynecology and Obstetrics) in 2006-2015. Individual data on cancer cases were collected from the HCR Integrator. Contextual variables were collected from the Atlas of Human Development in Brazil, the National Registry of Health Facilities, and the Outpatient Information System. The random intercept multilevel Poisson regression model was performed to identify the factors associated with the outcome. RESULTS: The prevalence of unknown staging data was 32.4% (95% confidence interval [CI], 32.1-32.7). Women aged 18-29 years (prevalence ratio [PR], 1.48; 95% CI, 1.42-1.54), referred by the public health system (PR, 1.16; 95% CI, 1.11-1.21), living in states with a low density of oncologists (PR, 1.70; 95% CI, 1.62-1.79), and with a low cytopathological testing rate (PR, 1.69; 95% CI, 1.57-1.82) showed a higher prevalence of unknown tumor staging data. A lower level of education (PR, 0.91; 95% CI, 0.84-0.98) was associated with complete staging data. CONCLUSIONS: Individual and contextual factors were associated with missing staging data. It is necessary to improve information on cancer in the HCRs by improving the awareness and training of Brazilian cancer care professionals.

Total Hip Replacement in Patients with Rheumatoid Arthritis: Trends in Incidence and Complication Rates Over 35 Years.

INTRODUCTION: Advances in rheumatoid arthritis (RA) management have made disease remission achievable. We evaluated trends in total hip replacement (THR) and postoperative outcomes in patients with RA in Western Australia (WA) over more than three decades. METHODS: This was a retrospective analysis of routinely collected prospective data from a state-wide registry containing longitudinally linked administrative health data based on International Classification of Diseases (ICD) diagnostic and procedural codes. We included patients with two or more diagnostic codes for RA (between 1980 and 2015) and studied THR incidence rates (THR IR) and complication rates (revision, peri-prosthetic fracture, infection, venous thrombosis, and mechanical loosening). Survival rates were estimated by Kaplan-Meier method and predictors analyzed by Cox regression. RESULTS: We followed 9201 RA patients over 111,625 person-years, during which 1560 patients (16.9%) underwent THR. From 1985 to 2015, THR IR (per 1000 RA patient-years) decreased from 20.8 (95% CI 20.1-21.5) to 7.3 (95% CI 7.2-7.5), and 5-year THR-free survival increased from 84.3 to 95.3% (1980-2015). Ten-year prosthetic survival was 91.2%. Complication rates in the first 5 years post-THR decreased significantly from 13.1 to 3.7% (p < 0.001). Mechanical complications such as loosening and periprosthetic fracture rates decreased significantly (> 35%, P < 0.05), while infection and revision did not change over the observation period (p > 0.05). CONCLUSIONS: Over the last 30 years in RA patients, THR IR and mechanical complication rates decreased significantly, but the medical complication of infection has not changed significantly.

How Many Cancer Patients Need Palliative Care? A Population-Based Study.

BACKGROUND: The number of cancer patients potentially amenable to palliative care is conventionally estimated from cancer deaths, as reported in the death certificates. However, a more representative population should also include cancer patients who die from causes other than cancer, as they may develop other life-limiting chronic conditions leading to terminal prognosis. AIM: This study aimed at refining the assessment of the number of cancer patients potentially in need of palliative care, by linked hospital and death data. DESIGN: Retrospective study. SETTING/PARTICIPANTS: Residents in the Emilia Romagna Region in Italy, who died between 2009 and 2017. RESULTS: We identified a potential palliative care population of 157,547 cancer patients. The use of different administrative data sources enhanced the sensitivity of our selection. Starting from a standard estimate of 129,212 patients based on cancer as the primary cause of death, we showed that the additional use of hospital records identified a further 11.4% of possible palliative care patients 14,687. Also considering cancer as secondary cause of death, the estimate further increased by 10.6% (13,648 new cases). Notably, the proportion of cancer patients selected by the additional data sources were characterized by more advanced age and higher prevalence of comorbidity. CONCLUSION: Healthcare services addressing the issue of estimating palliative care needs of cancer patients at a population level should consider that relying on the death certificate alone may lead to underestimating these needs of about 22%.

Changes in Platelet Counts and Thrombocytopenia Risk in Patients with Chronic Liver Disease with Different Etiologies Using Real-World Japanese Data.

INTRODUCTION: Thrombocytopenia, a common complication of chronic liver disease (CLD), adversely affects the treatment in patients requiring invasive procedures. Multiple pathophysiological mechanisms contribute to the development of thrombocytopenia; thus, its incidence could differ among CLD etiologies. We investigated the risk of decline in platelet counts and developing thrombocytopenia across different CLDs in a real-world Japanese setting. METHODS: A Japanese claims database including 25 million patients (April 2008-August 2018) was used. Patients with at least one CLD diagnosis were classified into nine mutually exclusive categories: hepatitis B, hepatitis C, hepatitis B and C, unspecified viral hepatitis, autoimmune hepatitis, toxin/drug-induced hepatitis, alcoholic hepatitis, nonalcoholic steatohepatitis, and others. A random effects model was used to estimate the changes in platelet counts; proportional hazard analyses were used to examine factors associated with the incidence of thrombocytopenia based on the diagnosis. Patients with laboratory test data as variables were included in each analysis. RESULTS: The simulation included 68,536 patients. The mean values representing changes in the platelet count were significantly negative in the hepatitis C patients and negative, though non-significant, in the hepatitis B, toxin/drug-induced hepatitis, alcoholic hepatitis, and nonalcoholic steatohepatitis patients. In the proportional hazard analysis, 708 of 22,728 patients had thrombocytopenia. The hazard ratio (HR) was significantly high for patients with hepatitis B (HR, 2.879; p < 0.001), hepatitis C (HR, 1.876; p < 0.001), and hepatitis B and C (HR, 2.992; p < 0.001). CONCLUSION: A decreasing tendency in platelet counts was observed in most CLD etiologies, with hepatitis C showing a significant decrease. The incidence of thrombocytopenia was mostly associated with hepatitis B and/or C. Further research is warranted to elucidate the discrepancy between the decline in platelet counts and thrombocytopenia diagnosis, considering the factors relevant to the diagnosis, such as the frequency of outpatient visits and CLD treatment.

A qualitative investigation into clinical documentation: why do clinicians document the way they do?

BACKGROUND: Clinical documentation is a fundamental component of patient care. The transition from paper based to electronic medical records/electronic health records has highlighted a number of issues associated with documentation practices including duplication. Developing new ways to document the care provided to patients and in turn, persuading clinicians to accept a change, must be supported by evidence that a change is required. In Australia, there has been a limited number of studies exploring the clinical documentation practices and beliefs of clinicians. OBJECTIVE: To gain an in-depth understanding of clinician documentation practices. METHOD: A qualitative design using semi-structured interviews with clinicians (allied health professionals, doctors (physicians) and nurses) working in a tertiary-level hospital in South-East Queensland, Australia. RESULTS: Several themes emerged from the data: environmental factors, including departmental policy and systemic issues, and personal factors, including verification, clinical reasoning and experience influencing documentation practices. CONCLUSION: Our study identified that the documentation practices of clinicians are complex, being driven by both environmental and systemic factors and personal factors. This in turn leads to duplication and some redundancy. The documentation burden of duplication could be reduced by changes in policy, supported by multidisciplinary documentation procedures and electronic systems aligned with clinician workflows, while retaining some flexible documentation practices. The documentation practices of individuals, when considered from the perspective of enhancing quality care, are considered legitimate and therefore will continue to form part of the health (medical) record regardless of the format.