Symptoms and signs of urogenital cancer in primary care.

BACKGROUND: Urogenital cancers are common, accounting for approximately 20% of cancer incidence globally. Cancers belonging to the same organ system often present with similar symptoms, making initial management challenging. In this study, 511 cases of cancer were recorded after the date of consultation among 61,802 randomly selected patients presenting in primary care in six European countries: a subgroup analysis of urogenital cancers was carried out in order to study variation in symptom presentation. METHODS: Initial data capture was by completion of standardised forms containing closed questions about symptoms recorded during the consultation. The general practitioner (GP) provided follow-up data after diagnosis, based on medical record data made after the consultation. GPs also provided free text comments about the diagnostic procedure for individual patients. RESULTS: The most common symptoms were mainly associated with one or two specific types of cancer: 'Macroscopic haematuria' with bladder or renal cancer (combined sensitivity 28.3%), 'Increased urinary frequency' with bladder (sensitivity 13.3%) or prostatic (sensitivity 32.1%) cancer, or to uterine body (sensitivity 14.3%) cancer, 'Unexpected genital bleeding' with uterine cancer (cervix, sensitivity 20.0%, uterine body, sensitivity 71.4%). 'Distended abdomen, bloating' had sensitivity 62.5% (based on eight cases of ovarian cancer). In ovarian cancer, increased abdominal circumference and a palpable tumour also were important diagnostic elements. Specificity for 'Macroscopic haematuria' was 99.8% (99.7-99.8). PPV > 3% was noted for 'Macroscopic haematuria' and bladder or renal cancer combined, for bladder cancer in male patients. In males aged 55-74, PPV = 7.1% for 'Macroscopic haematuria' and bladder cancer. Abdominal pain was an infrequent symptom in urogenital cancers. CONCLUSIONS: Most types of urogenital cancer present with rather specific symptoms. If the GP considers ovarian cancer, increased abdominal circumference should be actively determined. Several cases were clarified through the GP's clinical examination, or laboratory investigations.

What Facilitates or Hampers Living at Home With Advanced Dementia Until the End of Life? A Qualitative Study Using Retrospective Interviews Among Family Caregivers, General Practitioners, and Case Managers.

This study provides insight into circumstances that facilitate or hamper living at home with advanced dementia until the end of life. Interviews were held with 11 bereaved family caregivers, two general practitioners, and nine case managers, related to a total of 12 persons with advanced dementia who had recently died. Persons with dementia who lived at home until the end of life often had family caregivers that received timely support from professionals and their social network. In the cases where the person with dementia could not live at home until the end of life, safety issues, severely challenging behavior, and high care dependency of the person with dementia played key roles. Case management and a continuous process of advance care planning will improve the chance that the end-of-life setting is in accordance with the key values and needs of both the person with dementia and family caregivers.

End-of-life communication in advanced cancer: international trends (2009-2014).

OBJECTIVE: To examine trends in end-of-life communication with people with cancer in general practice. METHODS: Mortality follow-back survey among general practitioners (GPs) in representative epidemiological surveillance networks in Belgium (BE), the Netherlands (NL) and Spain (ES) in 2009-2010 (ES: 2010-2011) and 2013-2014. Using a standardised form, GPs registered all deceased adult patients in their practice and reported for five end-of-life care topics whether they had been discussed with the patient. Non-sudden cancer deaths were included (n=2306; BE: 1233; NL: 729; ES: 344). RESULTS: A statistically significant increase was found between 2009/2010 and 2014 in the prevalence of communication about diagnosis (from 84% to 94%) and options for end-of-life care (from 73% to 90%) in BE, and in GPs' awareness of patients' preferences for medical treatment and a proxy decision-maker in BE (from 41% and 20% up to 53% and 28%) and the NL (from 62% and 32% up to 70% and 52%). Communication about options for end-of-life care and psychosocial problems decreased in the NL (from 88% and 91% down to 73%) and ES (from 76% and 77% down to 26% and 39%). CONCLUSION: Considerable change in GP-patient communication seems possible in a relatively short time span, but communication cannot be assumed to increase over time. Increasing specialisation of care and task differentiation may lead to new roles in communication for healthcare providers in primary and secondary care. Improved information sharing between GPs and other healthcare providers may be necessary to ensure that patients have the chance to discuss important end-of-life topics.

Falls prevention at GP practices: a description of daily practice.

BACKGROUND: General practitioners (GPs) can be considered the designated professionals to identify high fall risk and to guide older people to fall preventive care. Currently it is not exactly known how GPs treat this risk. This study aims to investigate GPs' daily practice regarding fall preventive care for frail older patients. METHODS: Sixty-five GPs from 32 Dutch practices participated in this study for a period of 12 months. When a GP entered specific International Classification of Primary Care-codes related to frailty and/or high fall risk in their Electronic Health Records, a pop-up appeared asking "Is this patient frail?". If the GP confirmed this, the GP completed a short questionnaire about patient's fall history and fear of falling (FOF), and the fall preventive care provided. RESULTS: The GPs completed questionnaires regarding 1394 frail older patients aged ≥75. Of 20% of these patients, the GPs did not know whether they had experienced a fall or not. The GPs did not know whether a FOF existed in even more patients (29%). Of the patients with a fall history and/or a FOF (N = 726), 37% (N = 271) received fall preventive care. Two main reasons for not offering fall preventive care to these patients were: I) the patient finds treatment too intensive or too much of a hassle (37%), and II) the GP identified a high fall risk but the patient did not acknowledge this (14%). When patients were treated for high fall risk, the GP and the physiotherapist were the most frequently involved health care providers. The involved health care providers most often treated mobility limitations, cardiovascular risk factors, and FOF. CONCLUSIONS: The results from this study show that GPs were frequently not aware of their frail patient's fall history and/or FOF and that the majority of the frail older patients with a fall history and/or FOF did not receive fall preventive care. Developing systematic screening strategies for the primary care setting enhancing the identification of high fall risk and the provision of fall preventive care may improve patients' quality of life and reduce health care costs.

Symptoms and signs of colorectal cancer, with differences between proximal and distal colon cancer: a prospective cohort study of diagnostic accuracy in primary care.

BACKGROUND: In an abdominal symptom study in primary care in six European countries, 511 cases of cancer were recorded prospectively among 61,802 patients 16 years and older in Norway, Denmark, Sweden, Netherlands, Belgium and Scotland. Colorectal cancer is one of the main types of cancer associated with abdominal symptoms; hence, an in-depth subgroup analysis of the 94 colorectal cancers was carried out in order to study variation in symptom presentation among cancers in different anatomical locations. METHOD: Initial data capture was by completion of standardised forms containing closed questions about symptoms recorded during the consultation. Follow-up data were provided by the GP after diagnosis, based on medical record data made after the consultation. GPs also provided free text comments about the diagnostic procedure for individual patients. Fisher's exact test was used to analyse differences between groups. RESULTS: Almost all symptoms recorded could indicate colorectal cancer. 'Rectal bleeding' had a specificity of 99.4% and a PPV of 4.0%. Faecal occult blood in stool (FOBT) or anaemia may indicate gastrointestinal bleeding: when these symptoms and signs were combined, sensitivity reached 57.5%, with 69.2% for cancer in the distal colon. For proximal colon cancers, none of 18 patients had 'Rectal bleeding' at the initial consultation, but three of the 18 did so at a later consultation. 'Abdominal pain, lower part', 'Constipation' and 'Distended abdomen, bloating' were less specific and also less sensitive than 'Rectal bleeding', and with PPV between 0.7% and 1.9%. CONCLUSIONS: Apart from rectal bleeding, single symptoms did not reach the PPV 3% NICE threshold. However, supplementary information such as a positive FOBT or persistent symptoms may revise the PPV upwards. If a colorectal cancer is suspected by the GP despite few symptoms, the total clinical picture may still reach the NICE PPV threshold of 3% and justify a specific referral.

Consultations for Influenza-Like Illness in Primary Care in The Netherlands: A Regression Approach.

OBJECTIVES: To estimate the general practitioner (GP) consultation rate attributable to influenza in The Netherlands. METHODS: Regression analysis was performed on the weekly numbers of influenza-like illness (ILI) GP consultations and laboratory reports for influenza virus types A and B and 8 other pathogens over the period 2003-2014 (11 influenza seasons; week 40-20 of the following year). RESULTS: In an average influenza season, 27% and 11% of ILI GP consultations were attributed to infection by influenza virus types A and B, respectively. Influenza is therefore responsible for approximately 107 000 GP consultations (651/100 000) each year in The Netherlands. GP consultation rates associated with influenza infection were highest in children under 5 years of age, at 667 of 100 000 for influenza A and 258 of 100 000 for influenza B. Influenza virus infection was found to be the predominant cause of ILI-related GP visits in all age groups except children under 5, in which respiratory syncytial virus (RSV) infection was found to be the main contributor. CONCLUSIONS: The burden of influenza in terms of GP consultations is considerable. Overall, influenza is the main contributor to ILI. Although ILI symptoms in children under 5 years of age are most often associated with RSV infection, the majority of visits related to influenza occur among children under 5 years of age.

[Fitness to drive when taking medicines]. / Rijvaardigheid bij het gebruik van geneesmiddelen.

The regulations for driving fitness of people using drugs with potential influence on driving capability are embodied in the 'Regelingeisengeschiktheid 2000' (REG2000). The Health Council of the Netherlands (HCN) adviced to design more strict regulations for professional drivers. This advice has not yet been approved by the minister due to implementation complexity. The HCN recommends to follow the by the KNMP formulated advices when using category II psychostimulants or category III antidepressants, benzodiazepines, antipsychotics, antihistamines, anti-epileptics or opioids. The KNMP advices for driving participation are broadly available via the public websites www.apotheek.nl and www.rijveiligmetmedicijnen.nl. Both websites are written in accessible language level. The HCN advices to enhance scientific research concerning influence on driving fitness before approving a drug, to use standard procedures to prevent ad hoc decisions concerning driving fitness and the use of checklists for doctors when preparing driving fitness attests.

Applying machine learning on health record data from general practitioners to predict suicidality.

BACKGROUND: Suicidal behaviour is difficult to detect in the general practice. Machine learning (ML) algorithms using routinely collected data might support General Practitioners (GPs) in the detection of suicidal behaviour. In this paper, we applied machine learning techniques to support GPs recognizing suicidal behaviour in primary care patients using routinely collected general practice data. METHODS: This case-control study used data from a national representative primary care database including over 1.5 million patients (Nivel Primary Care Database). Patients with a suicide (attempt) in 2017 were selected as cases (N = 574) and an at risk control group (N = 207,308) was selected from patients with psychological vulnerability but without a suicide attempt in 2017. RandomForest was trained on a small subsample of the data (training set), and evaluated on unseen data (test set). RESULTS: Almost two-third (65%) of the cases visited their GP within the last 30 days before the suicide (attempt). RandomForest showed a positive predictive value (PPV) of 0.05 (0.04-0.06), with a sensitivity of 0.39 (0.32-0.47) and area under the curve (AUC) of 0.85 (0.81-0.88). Almost all controls were accurately labeled as controls (specificity = 0.98 (0.97-0.98)). Among a sample of 650 at-risk primary care patients, the algorithm would label 20 patients as high-risk. Of those, one would be an actual case and additionally, one case would be missed. CONCLUSION: In this study, we applied machine learning to predict suicidal behaviour using general practice data. Our results showed that these techniques can be used as a complementary step in the identification and stratification of patients at risk of suicidal behaviour. The results are encouraging and provide a first step to use automated screening directly in clinical practice. Additional data from different social domains, such as employment and education, might improve accuracy.

Using web search queries to monitor influenza-like illness: an exploratory retrospective analysis, Netherlands, 2017/18 influenza season.

BackgroundDespite the early development of Google Flu Trends in 2009, standards for digital epidemiology methods have not been established and research from European countries is scarce.AimIn this article, we study the use of web search queries to monitor influenza-like illness (ILI) rates in the Netherlands in real time.MethodsIn this retrospective analysis, we simulated the weekly use of a prediction model for estimating the then-current ILI incidence across the 2017/18 influenza season solely based on Google search query data. We used weekly ILI data as reported to The European Surveillance System (TESSY)  each week, and we removed the then-last 4 weeks from our dataset. We then fitted a prediction model based on the then-most-recent search query data from Google Trends to fill the 4-week gap ('Nowcasting'). Lasso regression, in combination with cross-validation, was applied to select predictors and to fit the 52 models, one for each week of the season.ResultsThe models provided accurate predictions with a mean and maximum absolute error of 1.40 (95% confidence interval: 1.09-1.75) and 6.36 per 10,000 population. The onset, peak and end of the epidemic were predicted with an error of 1, 3 and 2 weeks, respectively. The number of search terms retained as predictors ranged from three to five, with one keyword, 'griep' ('flu'), having the most weight in all models.DiscussionThis study demonstrates the feasibility of accurate, real-time ILI incidence predictions in the Netherlands using Google search query data.

The association between influenza infections in primary care and intensive care admissions for severe acute respiratory infection (SARI): A modelling approach.

BACKGROUND: The burden of severe influenza virus infections is poorly known, for which surveillance of severe acute respiratory infection (SARI) is encouraged. Hospitalized SARI patients are however not always tested for influenza virus infection. Thus, to estimate the impact of influenza circulation we studied how influenza in primary care relates to intensive care unit (ICU) admissions using a modelling approach. METHODS: We used time-series regression modelling to estimate a) the number of SARI admissions to ICU associated with medically attended influenza infections in primary care; b) how this varies by season; and c) the time lag between SARI and influenza time series. We analysed weekly adult ICU admissions (registry data) and adult influenza incidence (primary care surveillance data) from July 2007 through June 2016. RESULTS: Depending on the year, 0% to 12% of annual SARI admissions were associated with influenza (0-554 in absolute numbers; population rate: 0/10 000-0.39/10 000 inhabitants), up to 27% during influenza epidemics. The average optimal fitting lag was +1 week (SARI trend preceding influenza by 1 week), varying between seasons (-1 to +4) with most seasons showing positive lags. CONCLUSION: Up to 12% of yearly SARI admissions to adult ICU are associated with influenza, but with large year-to-year variation and higher during influenza epidemics. In most years, SARI increases earlier than medically attended influenza infections in the general population. SARI surveillance could thus complement influenza-like illness surveillance by providing an indication of the season-specific burden of severe influenza infections and potential early warning of influenza activity and severity.

Media Reports as a Source for Monitoring Impact of Influenza on Hospital Care: Qualitative Content Analysis.

BACKGROUND: The Netherlands, like most European countries, has a robust influenza surveillance system in primary care. However, there is a lack of real-time nationally representative data on hospital admissions for complications of influenza. Anecdotal information about hospital capacity problems during influenza epidemics can, therefore, not be substantiated. OBJECTIVE: The aim of this study was to assess whether media reports could provide relevant information for estimating the impact of influenza on hospital capacity, in the absence of hospital surveillance data. METHODS: Dutch news articles on influenza in hospitals during the influenza season (week 40 of 2017 until week 20 of 2018) were searched in a Web-based media monitoring program (Coosto). Trends in the number of weekly articles were compared with trends in 5 different influenza surveillance systems. A content analysis was performed on a selection of news articles, and information on the hospital, department, problem, and preventive or response measures was collected. RESULTS: The trend in weekly news articles correlated significantly with the trends in all 5 surveillance systems, including severe acute respiratory infections (SARI) surveillance. However, the peak in all 5 surveillance systems preceded the peak in news articles. Content analysis showed hospitals (N=69) had major capacity problems (46/69, 67%), resulting in admission stops (9/46, 20%), postponement of nonurgent surgical procedures (29/46, 63%), or both (8/46, 17%). Only few hospitals reported the use of point-of-care testing (5/69, 7%) or a separate influenza ward (3/69, 4%) to accelerate clinical management, but most resorted to ad hoc crisis management (34/69, 49%). CONCLUSIONS: Media reports showed that the 2017/2018 influenza epidemic caused serious problems in hospitals throughout the country. However, because of the time lag in media reporting, it is not a suitable alternative for near real-time SARI surveillance. A robust SARI surveillance program is important to inform decision making.

Use of Ambulance Dispatch Calls for Surveillance of Severe Acute Respiratory Infections.

Ambulance dispatches for respiratory syndromes reflect incidence of influenza-like illness in primary care. Associations are highest in children (15%-34% of respiratory calls attributable to influenza), out-of-office hours (9%), and highest urgency-level calls (9%-11%). Ambulance dispatches might be an additional source of data for severe influenza surveillance.

The epidemiological signature of influenza B virus and its B/Victoria and B/Yamagata lineages in the 21st century.

We describe the epidemiological characteristics, pattern of circulation, and geographical distribution of influenza B viruses and its lineages using data from the Global Influenza B Study. We included over 1.8 million influenza cases occurred in thirty-one countries during 2000-2018. We calculated the proportion of cases caused by influenza B and its lineages; determined the timing of influenza A and B epidemics; compared the age distribution of B/Victoria and B/Yamagata cases; and evaluated the frequency of lineage-level mismatch for the trivalent vaccine. The median proportion of influenza cases caused by influenza B virus was 23.4%, with a tendency (borderline statistical significance, p = 0.060) to be higher in tropical vs. temperate countries. Influenza B was the dominant virus type in about one every seven seasons. In temperate countries, influenza B epidemics occurred on average three weeks later than influenza A epidemics; no consistent pattern emerged in the tropics. The two B lineages caused a comparable proportion of influenza B cases globally, however the B/Yamagata was more frequent in temperate countries, and the B/Victoria in the tropics (p = 0.048). B/Yamagata patients were significantly older than B/Victoria patients in almost all countries. A lineage-level vaccine mismatch was observed in over 40% of seasons in temperate countries and in 30% of seasons in the tropics. The type B virus caused a substantial proportion of influenza infections globally in the 21st century, and its two virus lineages differed in terms of age and geographical distribution of patients. These findings will help inform health policy decisions aiming to reduce disease burden associated with seasonal influenza.

Use of the moving epidemic method (MEM) to assess national surveillance data for respiratory syncytial virus (RSV) in the Netherlands, 2005 to 2017.

BackgroundTo control respiratory syncytial virus (RSV), which causes acute respiratory infections, data and methods to assess its epidemiology are important.AimWe sought to describe RSV seasonality, affected age groups and RSV-type distribution over 12 consecutive seasons in the Netherlands, as well as to validate the moving epidemic method (MEM) for monitoring RSV epidemics.MethodsWe used 2005-17 laboratory surveillance data and sentinel data. For RSV seasonality evaluation, epidemic thresholds (i) at 1.2% of the cumulative number of RSV-positive patients per season and (ii) at 20 detections per week (for laboratory data) were employed. We also assessed MEM thresholds.ResultsIn laboratory data RSV was reported 25,491 times (no denominator). In sentinel data 5.6% (767/13,577) of specimens tested RSV positive. Over 12 seasons, sentinel data showed percentage increases of RSV positive samples. The average epidemic length was 18.0 weeks (95% confidence intervals (CI): 16.3-19.7) and 16.5 weeks (95% CI: 14.0-18.0) for laboratory and sentinel data, respectively. Epidemics started on average in week 46 (95% CI: 45-48) and 47 (95% CI: 46-49), respectively. The peak was on average in the first week of January in both datasets. MEM showed similar results to the other methods. RSV incidence was highest in youngest (0-1 and >1-2 years) and oldest (>65-75 and > 75 years) age groups, with age distribution remaining stable over time. RSV-type dominance alternated every one or two seasons.ConclusionsOur findings provide baseline information for immunisation advisory groups. The possibility of employing MEM to monitor RSV epidemics allows prospective, nearly real-time use of surveillance data.

Discussing suicidality with depressed patients: an observational study in Dutch sentinel general practices.

OBJECTIVES: This paper aims to describe the degree to which general practitioners (GPs) explore suicidal behaviour among depressed patients in the Netherlands. DESIGN: An observational study of consultations between GPs and depressed patients. SETTING: 39 sentinel GP practices within the Netherlands in 2017. PARTICIPANTS: Patients with a registration of depression. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome measure is suicide exploration by the GP. Secondary outcome measures at patient level, assessed by surveying GPs, include prevalence and severity of suicidal thoughts. Secondary outcome measures at GP level include follow-up actions of GP and reasons not to explore suicidality. RESULTS: A total of 1034 questionnaires were included in the analyses. GPs assessed and explored suicidality in 44% of patients with depression (66% in patients with a new episode of depression). GPs explored suicidal feelings more often in patients with a new episode of depression (OR 4.027, p<0.001, 95% CI 2.924 to 5.588), male patients (OR 1.709, p<0.001, 95% CI 1.256 to 2.330) or younger patients (OR 1.017, p<0.001, 95% CI 1.009 to 1.026). Multilevel analysis showed that 22% of the variation in suicide exploration is due to differences in GP practice. Thirty-eight per cent of the patients who were asked by their GP, reported (severe) suicidal ideation. Most GPs (68%) did not explore suicidal feelings because they thought the patient would not be suicidal. CONCLUSION: GPs explored suicidal thoughts in less than half of all depressed patients and in two-thirds of patients with a new episode of depression. Suicide prevention training is recommended to enhance suicide exploration.

Estimating severity of influenza epidemics from severe acute respiratory infections (SARI) in intensive care units.

BACKGROUND: While influenza-like-illness (ILI) surveillance is well-organized at primary care level in Europe, few data are available on more severe cases. With retrospective data from intensive care units (ICU) we aim to fill this current knowledge gap. Using multiple parameters proposed by the World Health Organization we estimate the burden of severe acute respiratory infections (SARI) in the ICU and how this varies between influenza epidemics. METHODS: We analyzed weekly ICU admissions in the Netherlands (2007-2016) from the National Intensive Care Evaluation (NICE) quality registry (100% coverage of adult ICUs in 2016; population size 14 million) to calculate SARI incidence, SARI peak levels, ICU SARI mortality, SARI mean Acute Physiology and Chronic Health Evaluation (APACHE) IV score, and the ICU SARI/ILI ratio. These parameters were calculated both yearly and per separate influenza epidemic (defined epidemic weeks). A SARI syndrome was defined as admission diagnosis being any of six pneumonia or pulmonary sepsis codes in the APACHE IV prognostic model. Influenza epidemic periods were retrieved from primary care sentinel influenza surveillance data. RESULTS: Annually, an average of 13% of medical admissions to adult ICUs were for a SARI but varied widely between weeks (minimum 5% to maximum 25% per week). Admissions for bacterial pneumonia (59%) and pulmonary sepsis (25%) contributed most to ICU SARI. Between the eight different influenza epidemics under study, the value of each of the severity parameters varied. Per parameter the minimum and maximum of those eight values were as follows: ICU SARI incidence 558-2400 cumulated admissions nationwide, rate 0.40-1.71/10,000 inhabitants; average APACHE score 71-78; ICU SARI mortality 13-20%; ICU SARI/ILI ratio 8-17 cases per 1000 expected medically attended ILI in primary care); peak-incidence 101-188 ICU SARI admissions in highest-incidence week, rate 0.07-0.13/10,000 population). CONCLUSIONS: In the ICU there is great variation between the yearly influenza epidemic periods in terms of different influenza severity parameters. The parameters also complement each other by reflecting different aspects of severity. Prospective syndromic ICU SARI surveillance, as proposed by the World Health Organization, thereby would provide insight into the severity of ongoing influenza epidemics, which differ from season to season.

Climatic factors and long-term trends of influenza-like illness rates in The Netherlands, 1970-2016.

BACKGROUND: Climatic factors affect the survival and transmissibility of respiratory viruses causing influenza-like illness (ILI), and we hypothesized that changes in absolute humidity and temperature may affect long-term trends of ILI incidence rate in temperate countries. We tested this hypothesis using ILI and meteorological time series in the Netherlands for the period 1970-2016. METHODS: We described the long-term trends of ILI incidence, absolute humidity and temperature; modelled the association between climatic factors and ILI activity using negative binomial regression models; and assessed the strength of the association between the seasonal average absolute humidity (or temperature) and ILI incidence rate using the Spearman's rank correlation coefficient. RESULTS: The ILI incidence rate declined from 1970 and reached a minimum in the season 2002-03, but started to increase again from the season 2003-04 onwards. In the negative binominal regression models, the weekly ILI count was inversely associated (p < 0.001) with 0- and 1-week lagged absolute humidity and temperature. After three decades of rising absolute humidity and temperature (1970-2000), the early 2000s represented a trend-reversal point for the climatic time series. The seasonal average ILI incidence rate and absolute humidity (or temperature) were strongly (inversely) correlated. CONCLUSIONS: Our findings suggest that climate change may have played a role in the long-term trends of ILI incidence rates in the Netherlands, as we were able to show that lower humidity and temperature in a given week were associated with higher ILI incidence in the next week, there was a clear time point reversal in climatic parameters and ILI rates in the 2000s, and the average annual ILI incidence was inversely related to average annual temperatures and humidity.

Differences in primary palliative care between people with organ failure and people with cancer: An international mortality follow-back study using quality indicators.

BACKGROUND: Measuring the quality of palliative care in a systematic way using quality indicators can illuminate differences between patient groups. AIM: To investigate differences in the quality of palliative care in primary care between people who died of cancer and people who died of organ failure. DESIGN: Mortality follow-back survey among general practitioners in Belgium, the Netherlands, and Spain (2013-2014), and Italy (2013-2015). A standardized registration form was used to construct quality indicators regarding regular pain measurement, acceptance of the approaching end of life, communication about disease-related topics with patient and next-of-kin; repeated multidisciplinary consultations; involvement of specialized palliative care; place of death; and bereavement counseling. SETTING/PARTICIPANTS: Patients (18+) who died non-suddenly of cancer, cardiovascular disease, or respiratory disease ( n = 2360). RESULTS: In all countries, people who died of cancer scored higher on the quality indicators than people who died of organ failure, particularly with regard to pain measurement (between 17 and 35 percentage-point difference in the different countries), the involvement of specialized palliative care (between 20 and 54 percentage points), and regular multidisciplinary meetings (between 12 and 24 percentage points). The differences between the patient groups varied by country, with Belgium showing most group differences (eight out of nine indicators) and Spain the fewest (two out of nine indicators). CONCLUSION: People who died of organ failure are at risk of receiving lower quality palliative care than people who died of cancer, but the differences vary per country. Initiatives to improve palliative care should have different priorities depending on the healthcare and cultural context.

Palliative care for patients with cancer: do patients receive the care they consider important? A survey study.

BACKGROUND: In many countries, GPs and home care nurses are involved in care for patients with advanced cancer. Given the varied and complex needs of these patients, providing satisfactory care is a major challenge for them. We therefore aimed to study which aspects of care patients, GPs and home care nurses consider important and whether patients receive these aspects. METHODS: Seventy-two Dutch patients with advanced cancer, 87 GPs and 26 home care nurses rated the importance of support when experiencing symptoms, respect for patients' autonomy and information provision. Patients also rated whether they received these aspects. Questionnaires were based on the CQ index palliative care. RESULTS: Almost all patients rated information provision and respect for their autonomy as important. The majority also rated support when suffering from specific symptoms as important, especially support when in pain. In general, patients received the care they considered important. However, 49% of those who considered it important to receive support when suffering from fatigue and 23% of those who wanted to receive information on the expected course of their illness did not receive this or only did so sometimes. CONCLUSION: For most patients with advanced cancer, the palliative care that they receive matches what they consider important. Support for patients experiencing fatigue may need more attention. When symptoms are difficult to control, GPs and nurses may still provide emotional support and practical advice. Furthermore, we recommend that GPs discuss patients' need for information about the expected course of their illness.

Abdominal symptoms and cancer in the abdomen: prospective cohort study in European primary care.

BACKGROUND: Different abdominal symptoms may signal cancer, but their role is unclear. AIM: To examine associations between abdominal symptoms and subsequent cancer diagnosed in the abdominal region. DESIGN AND SETTING: Prospective cohort study comprising 493 GPs from surgeries in Norway, Denmark, Sweden, Scotland, Belgium, and the Netherlands. METHOD: Over a 10-day period, the GPs recorded consecutive consultations and noted: patients who presented with abdominal symptoms pre-specified on the registration form; additional data on non-specific symptoms; and features of the consultation. Eight months later, data on all cancer diagnoses among all study patients in the participating general practices were requested from the GPs. RESULTS: Consultations with 61 802 patients were recorded and abdominal symptoms were documented in 6264 (10.1%) patients. Malignancy, both abdominal and non-abdominal, was subsequently diagnosed in 511 patients (0.8%). Among patients with a new cancer in the abdomen (n = 251), 175 (69.7%) were diagnosed within 180 days after consultation. In a multivariate model, the highest sex- and age-adjusted hazard ratio (HR) was for the single symptom of rectal bleeding (HR 19.1, 95% confidence interval = 8.7 to 41.7). Positive predictive values of >3% were found for macroscopic haematuria, rectal bleeding, and involuntary weight loss, with variations according to age and sex. The three symptoms relating to irregular bleeding had particularly high specificity in terms of colorectal, uterine, and bladder cancer. CONCLUSIONS: A patient with undiagnosed cancer may present with symptoms or no symptoms. Irregular bleeding must always be explained. Abdominal pain occurs with all types of abdominal cancer and several symptoms may signal colorectal cancer. The findings are important as they influence how GPs think and act, and how they can contribute to an earlier diagnosis of cancer.