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Abstract Background The burden of chronic kidney disease (CKD) is high in the Northern Territory (NT), Australia. This study aims to describe the healthcare use and associated costs of people at risk of CKD (e.g. acute kidney injury, diabetes, hypertension, and cardiovascular disease) or living with CKD in the NT, from a healthcare funder perspective. Methods We included a retrospective cohort of patients at risk of, or living with CKD, on 1 January 2017. Patients on kidney replacement therapy were excluded from the study. Data from the Territory Kidney Care database, encompassing patients from public hospitals and primary health care services across the NT was used to conduct costing. Annual healthcare costs, including hospital, primary health care, medication, and investigation costs were described over a one-year follow-up period. Factors associated with high total annual healthcare costs were identified with a cost prediction model. Results Among 37,398 patients included in this study, 23,419 had a risk factor for CKD while 13,979 had CKD (stages 1 to 5, not on kidney replacement therapy). The overall mean (± SD) age was 45 years (± 17), and a large proportion of the study cohort were First Nations people (68%). Common comorbidities in the overall cohort included diabetes (36%), hypertension (32%), and coronary artery disease (11%). Annual healthcare cost was lowest in those at risk of CKD (AUD$7,958 per person) and highest in those with CKD stage 5 (AUD$67,117 per person). Inpatient care contributed to the majority (76%) of all healthcare costs. Predictors of increased total annual healthcare cost included more advanced stages of CKD, and the presence of comorbidities. In CKD stage 5, the additional cost per person per year was + $53,634 (95%CI 32,769 to 89,482, p

Background: The burden of chronic kidney disease (CKD) is high in the Northern Territory (NT), Australia. This study aims to describe the healthcare use and associated costs of people at risk of CKD (e.g. acute kidney injury, diabetes, hypertension, and cardiovascular disease) or living with CKD in the NT, from a healthcare funder perspective. Methods: We included a retrospective cohort of patients at risk of, or living with CKD, on 1 January 2017. Patients on kidney replacement therapy were excluded from the study. Data from the Territory Kidney Care database, encompassing patients from public hospitals and primary health care services across the NT was used to conduct costing. Annual healthcare costs, including hospital, primary health care, medication, and investigation costs were described over a one-year follow-up period. Factors associated with high total annual healthcare costs were identified with a cost prediction model. Results: Among 37,398 patients included in this study, 23,419 had a risk factor for CKD while 13,979 had CKD (stages 1 to 5, not on kidney replacement therapy). The overall mean (± SD) age was 45 years (± 17), and a large proportion of the study cohort were First Nations people (68%). Common comorbidities in the overall cohort included diabetes (36%), hypertension (32%), and coronary artery disease (11%). Annual healthcare cost was lowest in those at risk of CKD (AUD$7,958 per person) and highest in those with CKD stage 5 (AUD$67,117 per person). Inpatient care contributed to the majority (76%) of all healthcare costs. Predictors of increased total annual healthcare cost included more advanced stages of CKD, and the presence of comorbidities. In CKD stage 5, the additional cost per person per year was + $53,634 (95%CI 32,769 to 89,482, p < 0.001) compared to people in the at risk group without CKD. Conclusion: The total healthcare costs in advanced stages of CKD is high, even when patients are not on dialysis. There remains a need for effective primary prevention and early intervention strategies targeting CKD and related chronic conditions. [ABSTRACT FROM AUTHOR]

Abstract Background Existing knowledge on healthcare use and costs in the last months of life is often limited to one patient group (i.e., cancer patients) and one level of healthcare (i.e., secondary care). Consequently, decision-makers lack knowledge in order to make informed decisions about the allocation of healthcare resources for all patients. Our aim is to elaborate the understanding of resource use and costs in the last six months of life by describing healthcare use and costs for all causes of death and by all levels of formal care. Method Using five national registers, we gained access to patient-level data for all individuals who died in Norway between 2009 and 2013. We described healthcare use and costs for all levels of formal care—namely primary, secondary, and home- and community-based care —in the last six months of life, both in total and differentiated across three time periods (6-4 months, 3-2 months, and 1-month before death). Our analysis covers all causes of death categorized in ten ICD-10 categories. Results During their last six months of life, individuals used an average of healthcare resources equivalent to €46,000, ranging from €32,000 (Injuries) to €64,000 (Diseases of the nervous system and sense organs). In terms of care level, 63% of healthcare resources were used in home- and community-based care (i.e., in-home nursing, practical assistance, or nursing home care), 35% in secondary care (mostly hospital care), and 2% in primary care (i.e., general practitioners). The amount and level of care varied by cause of death and by time to death. The proportion of home- and community-based care which individuals received during their last six months of life varied from 38% for cancer patients to 92% for individuals dying with mental diseases. The shorter the time to death, the more resources were needed: nearly 40% of all end-of-life healthcare costs were expended in the last month of life across all causes of death. The composition of care also differed depending on age. Individuals aged 80 years and older used more home- and community-based care (77%) than individuals dying at younger ages (40%) and less secondary care (old: 21% versus young: 57%). Conclusions Our analysis provides valuable evidence on how much healthcare individuals receive in their last six months of life and the associated costs, broken down by level of care and cause of death. Healthcare use and costs varied considerably by cause of death, but were generally higher the closer a person was to death. Our findings enable decision-makers to make more informed resource-allocation decisions and healthcare planners to better anticipate future healthcare needs.

Abstract Background The COVID-19 pandemic engendered numerous societal and economic challenges in addition to health-related concerns. Maintenance of healthcare utilization assumed immense significance during this period. However, few studies have examined the association between loneliness and cancelled medical appointments during the COVID-19 pandemic. This study aimed to examine whether medical appointments are less likely to be cancelled with increased loneliness during a pandemic. We analyzed the association between loneliness and both patient- and provider-initiated appointment cancellations. Methods Cross-sectional data from the Hamburg City Health Study (HCHS) were collected during April 2020–November 2021. The analytical sample included 1,840 participants with an average age of 55.1 years (standard deviation: 6.5, range 45–76 years). Medical appointments cancelled by individuals—medical appointments in general, and GP, specialist, and dentist appointments—and appointments cancelled by healthcare providers served as outcome measures. Loneliness was quantified using a single item ranging from 0 to 10. Accordingly, we created empirical loneliness tertiles. Covariates were selected based on the Andersen model. Several penalized maximum likelihood logistic regressions were utilized to examine the association between loneliness and cancellation of medical appointments during the COVID-19 pandemic. Results The penalized maximum likelihood logistic regressions showed that, compared to individuals in the lowest loneliness tertiles, individuals in the other two tertiles reported a higher chance of medical appointments cancellation by individuals, particularly driven by cancelled GP appointments. Except for age and sex, none of the covariates were comparably associated with the outcomes. When appointments cancelled by healthcare providers served as outcomes, only a higher number of chronic conditions was significantly positively associated with it. Conclusions Individuals scoring higher in loneliness had a greater chance of cancelling medical (particularly GP) appointments. This may contribute to a potential cascade of loneliness and skipped medical appointments in the future, resulting in adverse health outcomes over the medium-to-long term. Future research should examine whether lonely people are more likely to lack the social motivation to visit the doctor.

Abstract Purpose Low-acuity pediatric emergency department (PED) visits are frequent in high-income countries and have a negative impact on patient care at the individual and health system levels. Knowing what drives low-acuity PED visits is crucial to inform adaptations in health care delivery. We aimed to identify factors associated with low-acuity PED visits in Switzerland, including socioeconomic status, demographic features, and medical resources of families. Methods We conducted a prospective, questionnaire-based study in the PEDs of two Swiss tertiary care hospitals, Bern and Lausanne. We invited all consecutive children and their caregiver attending the PED during data collection times representative of the overall PED consultation structure (e.g. day/night, weekdays/weekends) to complete a questionnaire on demographic features, socioeconomic status, and medical resources. We collected medical and administrative data about the visit and defined low-acuity visits as those meeting all of the following criteria: (1) triage category 4 or 5 on the Australasian Triage Scale, (2) no imaging or laboratory test performed, and (3) discharge home. We used a binary multiple logistic regression model to identify factors associated with low-acuity visits. Results We analysed 778 PED visits (September 2019 to July 2020). Most children visiting our PEDs had a designated primary care provider (92%), with only 6% not having seen them during the last year. Fifty-five per cent of caregivers had asked for medical advice before coming to the PED. The proportion of low-acuity visits was 58%. Low-acuity visits were associated with caregiver's difficulties paying bills (aOR 2.6, 95% CI 1.6 – 4.4), having already visited a PED in the last 6 months (aOR 1.7, 95% CI 1.1 – 2.5) but not with parental education status, nor parental country of birth, parental employment status or absence of family network. Conclusion Economic precariousness is an important driver for low-acuity PED visits in Switzerland, a high-income country with compulsory health coverage where most children have a designated primary care provider and a regular pediatric follow-up. Primary care providers and PEDs should screen families for economic precariousness and offer anticipatory guidance and connect those in financial need to social support.

Purpose: Low-acuity pediatric emergency department (PED) visits are frequent in high-income countries and have a negative impact on patient care at the individual and health system levels. Knowing what drives low-acuity PED visits is crucial to inform adaptations in health care delivery. We aimed to identify factors associated with low-acuity PED visits in Switzerland, including socioeconomic status, demographic features, and medical resources of families. Methods: We conducted a prospective, questionnaire-based study in the PEDs of two Swiss tertiary care hospitals, Bern and Lausanne. We invited all consecutive children and their caregiver attending the PED during data collection times representative of the overall PED consultation structure (e.g. day/night, weekdays/weekends) to complete a questionnaire on demographic features, socioeconomic status, and medical resources. We collected medical and administrative data about the visit and defined low-acuity visits as those meeting all of the following criteria: (1) triage category 4 or 5 on the Australasian Triage Scale, (2) no imaging or laboratory test performed, and (3) discharge home. We used a binary multiple logistic regression model to identify factors associated with low-acuity visits. Results: We analysed 778 PED visits (September 2019 to July 2020). Most children visiting our PEDs had a designated primary care provider (92%), with only 6% not having seen them during the last year. Fifty-five per cent of caregivers had asked for medical advice before coming to the PED. The proportion of low-acuity visits was 58%. Low-acuity visits were associated with caregiver's difficulties paying bills (aOR 2.6, 95% CI 1.6 – 4.4), having already visited a PED in the last 6 months (aOR 1.7, 95% CI 1.1 – 2.5) but not with parental education status, nor parental country of birth, parental employment status or absence of family network. Conclusion: Economic precariousness is an important driver for low-acuity PED visits in Switzerland, a high-income country with compulsory health coverage where most children have a designated primary care provider and a regular pediatric follow-up. Primary care providers and PEDs should screen families for economic precariousness and offer anticipatory guidance and connect those in financial need to social support. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic engendered numerous societal and economic challenges in addition to health-related concerns. Maintenance of healthcare utilization assumed immense significance during this period. However, few studies have examined the association between loneliness and cancelled medical appointments during the COVID-19 pandemic. This study aimed to examine whether medical appointments are less likely to be cancelled with increased loneliness during a pandemic. We analyzed the association between loneliness and both patient- and provider-initiated appointment cancellations. Methods: Cross-sectional data from the Hamburg City Health Study (HCHS) were collected during April 2020–November 2021. The analytical sample included 1,840 participants with an average age of 55.1 years (standard deviation: 6.5, range 45–76 years). Medical appointments cancelled by individuals—medical appointments in general, and GP, specialist, and dentist appointments—and appointments cancelled by healthcare providers served as outcome measures. Loneliness was quantified using a single item ranging from 0 to 10. Accordingly, we created empirical loneliness tertiles. Covariates were selected based on the Andersen model. Several penalized maximum likelihood logistic regressions were utilized to examine the association between loneliness and cancellation of medical appointments during the COVID-19 pandemic. Results: The penalized maximum likelihood logistic regressions showed that, compared to individuals in the lowest loneliness tertiles, individuals in the other two tertiles reported a higher chance of medical appointments cancellation by individuals, particularly driven by cancelled GP appointments. Except for age and sex, none of the covariates were comparably associated with the outcomes. When appointments cancelled by healthcare providers served as outcomes, only a higher number of chronic conditions was significantly positively associated with it. Conclusions: Individuals scoring higher in loneliness had a greater chance of cancelling medical (particularly GP) appointments. This may contribute to a potential cascade of loneliness and skipped medical appointments in the future, resulting in adverse health outcomes over the medium-to-long term. Future research should examine whether lonely people are more likely to lack the social motivation to visit the doctor. [ABSTRACT FROM AUTHOR]

Abstract Background Many cancer survivors experience late effects after cancer. Comorbidity, health literacy, late effects, and help-seeking behavior may affect healthcare use and may differ among socioeconomic groups. We examined healthcare use among cancer survivors, compared with cancer-free individuals, and investigated educational differences in healthcare use among cancer survivors. Methods A Danish cohort of 127,472 breast, prostate, lung, and colon cancer survivors from the national cancer databases, and 637,258 age- and sex-matched cancer-free individuals was established. Date of entry was 12 months after diagnosis/index date (for cancer-free individuals). Follow-up ended at death, emigration, new primary cancer, December 31st, 2018, or up to 10 years. Information about education and healthcare use, defined as the number of consultations with general practitioner (GP), private practicing specialists (PPS), hospital, and acute healthcare contacts 1–9 years after diagnosis/index date, was extracted from national registers. We used Poisson regression models to compare healthcare use between cancer survivors and cancer-free individuals, and to investigate the association between education and healthcare use among cancer survivors. Results Cancer survivors had more GP, hospital, and acute healthcare contacts than cancer-free individuals, while the use of PPS were alike. One-to-four-year survivors with short compared to long education had more GP consultations (breast, rate ratios (RR) = 1.28, 95% CI = 1.25–1.30; prostate, RR = 1.14, 95% CI = 1.10–1.18; lung, RR = 1.18, 95% CI = 1.13–1.23; and colon cancer, RR = 1.17, 95% CI = 1.13–1.22) and acute contacts (breast, RR = 1.35, 95% CI = 1.26–1.45; prostate, RR = 1.26, 95% CI = 1.15–1.38; lung, RR = 1.24, 95% CI = 1.16–1.33; and colon cancer, RR = 1.35, 95% CI = 1.14–1.60), even after adjusting for comorbidity. One-to-four-year survivors with short compared to long education had less consultations with PPS, while no association was observed for hospital contacts. Conclusion Cancer survivors used more healthcare than cancer-free individuals. Cancer survivors with short education had more GP and acute healthcare contacts than survivors with long education. To optimize healthcare use after cancer, we need to better understand survivors’ healthcare-seeking behaviors and their specific needs, especially among survivors with short education.

Abstract Background Despite concern about migrant children’s mental health and their access to mental healthcare services during the COVID-19 pandemic, this topic has attracted little research attention. This study aimed to examine the impact of the COVID-19 pandemic on the use primary and specialist healthcare services for mental health problems among children and adolescents with migrant background. Methods Using event study models, we investigated the impact of lockdown and subsequent COVID-19 infection control measures on children’s health service use for mental health problems according to migrant background. Drawing on reimbursement data from Norwegian public healthcare providers we observe consultations in a pre-pandemic (2017–2019) and pandemic cohort (2019–2021) in primary and specialised care. Results The pre-pandemic cohort included 77 324 migrants, 78 406 descendants of migrants and 746 917 non-migrants and the pandemic cohort included 76 830 migrants, 88 331 descendants and 732 609 non-migrants (age 6–19). The full cohorts were observed for mental healthcare use in primary care while a subsample (age 6–16) was observed for health care use in specialist care. Lockdown resulted in a dip in consultation volumes for mental disorders for all children, but this dip was relatively larger and more persistent for children with migrant background. After lockdown, consultation volumes rose more for non-migrant children than for children with migrant background. Consultations in primary healthcare peaked during January to April 2021 for non-migrants and descendants of migrants, but not for migrants (4%, 95% CI -4 to 11). In specialist care during the same period, consultations dropped by 11% for migrants (95% CI -21 to -1). By October 2021, all mental health consultations in specialist care were up with 8% for non-migrants (95% CI 0 to 15), and down with -18% for migrants and -2% for descendants (95% CIs -31 to -5 and -14 to 10). Migrant males experienced the largest reduction in consultations. Conclusions Changes in consultation volumes among children with migrant background after lockdown were not as pronounced as for non-migrants, and at times actually decreased. This suggests that an increase in barriers to care emerged during the pandemic for children with a migrant background.

Abstract Background Alzheimer’s disease (AD) is a major determinant of healthcare costs and increase in the healthcare service use occur already before the AD diagnosis. However, little is known how the different diagnosis categories contribute to this increase in healthcare use. We investigated how the hospitalizations and specialized healthcare outpatient visits from different diagnosis categories, based on the International Classification of Diseases (ICD-10) chapters, contribute to increased specialized healthcare service use during ten-year period preceding AD diagnosis. Methods A register-based nationwide cohort of 42,934 community-dwelling persons who received clinically verified AD diagnosis in between 2008 and 2011 in Finland and 1:1 age, sex and hospital district- matched comparison cohort were included. Hospitalizations and specialized healthcare visits were categorized by the main diagnosis, according to the ICD-10 chapters. AD and dementia were separated to their own category. The number of persons with visits and stays was calculated for every 6 months, irrespective of the frequency of visits/stays individual had during that time window. Furthermore, the relative distribution of the diagnosis categories was computed. Results AD cohort was more likely to have visits and stays during the 10-year period (OR 1.19, 95% CI 1.17–1.21). The number of persons with visits and stays peaked in AD cohort from 1.5 years before the diagnosis when the differences in relative distribution of different diagnosis categories also became evident. The largest differences were observed for visits/stays with cognitive disorders, symptoms of unspecified diseases and psychiatric disorders diagnoses, and those with missing diagnosis codes in the last time window before AD diagnosis. Conclusions and implications Increased healthcare service use before AD diagnosis does not seem to arise from differences in specific diagnosis categories of ICD-10 such as diseases of the circulatory system, but from the higher frequency of visits and stays among persons with AD across diagnosis categories. Based on the relative distribution of diagnosis categories, the steep increase in healthcare service use just before and during the diagnostic process is likely due to prodromal symptoms and visits related to cognition.

Background: Despite concern about migrant children's mental health and their access to mental healthcare services during the COVID-19 pandemic, this topic has attracted little research attention. This study aimed to examine the impact of the COVID-19 pandemic on the use primary and specialist healthcare services for mental health problems among children and adolescents with migrant background. Methods: Using event study models, we investigated the impact of lockdown and subsequent COVID-19 infection control measures on children's health service use for mental health problems according to migrant background. Drawing on reimbursement data from Norwegian public healthcare providers we observe consultations in a pre-pandemic (2017–2019) and pandemic cohort (2019–2021) in primary and specialised care. Results: The pre-pandemic cohort included 77 324 migrants, 78 406 descendants of migrants and 746 917 non-migrants and the pandemic cohort included 76 830 migrants, 88 331 descendants and 732 609 non-migrants (age 6–19). The full cohorts were observed for mental healthcare use in primary care while a subsample (age 6–16) was observed for health care use in specialist care. Lockdown resulted in a dip in consultation volumes for mental disorders for all children, but this dip was relatively larger and more persistent for children with migrant background. After lockdown, consultation volumes rose more for non-migrant children than for children with migrant background. Consultations in primary healthcare peaked during January to April 2021 for non-migrants and descendants of migrants, but not for migrants (4%, 95% CI -4 to 11). In specialist care during the same period, consultations dropped by 11% for migrants (95% CI -21 to -1). By October 2021, all mental health consultations in specialist care were up with 8% for non-migrants (95% CI 0 to 15), and down with -18% for migrants and -2% for descendants (95% CIs -31 to -5 and -14 to 10). Migrant males experienced the largest reduction in consultations. Conclusions: Changes in consultation volumes among children with migrant background after lockdown were not as pronounced as for non-migrants, and at times actually decreased. This suggests that an increase in barriers to care emerged during the pandemic for children with a migrant background. [ABSTRACT FROM AUTHOR]

Background: Many cancer survivors experience late effects after cancer. Comorbidity, health literacy, late effects, and help-seeking behavior may affect healthcare use and may differ among socioeconomic groups. We examined healthcare use among cancer survivors, compared with cancer-free individuals, and investigated educational differences in healthcare use among cancer survivors. Methods: A Danish cohort of 127,472 breast, prostate, lung, and colon cancer survivors from the national cancer databases, and 637,258 age- and sex-matched cancer-free individuals was established. Date of entry was 12 months after diagnosis/index date (for cancer-free individuals). Follow-up ended at death, emigration, new primary cancer, December 31st, 2018, or up to 10 years. Information about education and healthcare use, defined as the number of consultations with general practitioner (GP), private practicing specialists (PPS), hospital, and acute healthcare contacts 1–9 years after diagnosis/index date, was extracted from national registers. We used Poisson regression models to compare healthcare use between cancer survivors and cancer-free individuals, and to investigate the association between education and healthcare use among cancer survivors. Results: Cancer survivors had more GP, hospital, and acute healthcare contacts than cancer-free individuals, while the use of PPS were alike. One-to-four-year survivors with short compared to long education had more GP consultations (breast, rate ratios (RR) = 1.28, 95% CI = 1.25–1.30; prostate, RR = 1.14, 95% CI = 1.10–1.18; lung, RR = 1.18, 95% CI = 1.13–1.23; and colon cancer, RR = 1.17, 95% CI = 1.13–1.22) and acute contacts (breast, RR = 1.35, 95% CI = 1.26–1.45; prostate, RR = 1.26, 95% CI = 1.15–1.38; lung, RR = 1.24, 95% CI = 1.16–1.33; and colon cancer, RR = 1.35, 95% CI = 1.14–1.60), even after adjusting for comorbidity. One-to-four-year survivors with short compared to long education had less consultations with PPS, while no association was observed for hospital contacts. Conclusion: Cancer survivors used more healthcare than cancer-free individuals. Cancer survivors with short education had more GP and acute healthcare contacts than survivors with long education. To optimize healthcare use after cancer, we need to better understand survivors' healthcare-seeking behaviors and their specific needs, especially among survivors with short education. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease (AD) is a major determinant of healthcare costs and increase in the healthcare service use occur already before the AD diagnosis. However, little is known how the different diagnosis categories contribute to this increase in healthcare use. We investigated how the hospitalizations and specialized healthcare outpatient visits from different diagnosis categories, based on the International Classification of Diseases (ICD-10) chapters, contribute to increased specialized healthcare service use during ten-year period preceding AD diagnosis. Methods: A register-based nationwide cohort of 42,934 community-dwelling persons who received clinically verified AD diagnosis in between 2008 and 2011 in Finland and 1:1 age, sex and hospital district- matched comparison cohort were included. Hospitalizations and specialized healthcare visits were categorized by the main diagnosis, according to the ICD-10 chapters. AD and dementia were separated to their own category. The number of persons with visits and stays was calculated for every 6 months, irrespective of the frequency of visits/stays individual had during that time window. Furthermore, the relative distribution of the diagnosis categories was computed. Results: AD cohort was more likely to have visits and stays during the 10-year period (OR 1.19, 95% CI 1.17–1.21). The number of persons with visits and stays peaked in AD cohort from 1.5 years before the diagnosis when the differences in relative distribution of different diagnosis categories also became evident. The largest differences were observed for visits/stays with cognitive disorders, symptoms of unspecified diseases and psychiatric disorders diagnoses, and those with missing diagnosis codes in the last time window before AD diagnosis. Conclusions and implications: Increased healthcare service use before AD diagnosis does not seem to arise from differences in specific diagnosis categories of ICD-10 such as diseases of the circulatory system, but from the higher frequency of visits and stays among persons with AD across diagnosis categories. Based on the relative distribution of diagnosis categories, the steep increase in healthcare service use just before and during the diagnostic process is likely due to prodromal symptoms and visits related to cognition. [ABSTRACT FROM AUTHOR]

Abstract Background There is a lack of knowledge about patients’ journeys across the stroke care continuum, especially regarding the transition from inpatient to outpatient care and rehabilitation. Therefore, the aim of the present study was to explore and describe patterns of healthcare use over a one-year period, health outcomes at 3 and 12 months for patients following a referral-based transition to subsequent rehabilitation in the home, and the caregiver burden on their significant others. A further aim was to explore factors associated with the use of rehabilitation and healthcare after the referral-based transition to continued rehabilitation in the home for people recovering from a stroke. Methods Data regarding healthcare use during the first 12 months post-stroke was collected from the Region Stockholm computerized register. Data on patient characteristics, disease-related data, and functioning were retrieved drawn from medical records and questionnaires. Descriptive statistics were used to present healthcare use, participants’ characteristics, disease-related data, and patient functioning. Multivariable regression models were created to explore associations between the total number of outpatient contacts, total visits with the neurorehabilitation team, and the independent variables. Results The mean age for the 190 participants was 73 years for men and 78 years for women. Twenty-one participants (11%) had an acute rehospitalization within 30 days after discharge, and 41 participants (21%) were re-hospitalized within 90 days. Twenty-two (12%) of the participants had no visits with the neurorehabilitation team, 73 (39%) participants had 1–3 visits, 57 (30%) had 4–16 visits, and 38 (20%) had ≥17 visits. Female sex and length of hospital stay were associated with a higher number of visits with the neurorehabilitation team. Living alone, higher self-rated recovery, and being able to walk independently were associated with a lower number of visits with the neurorehabilitation team. Female sex, having home help services before the stroke, longer length of hospital stay, and more comorbidities were associated with a higher number of outpatient contacts. Conclusions The findings indicate that there is no generic pattern of healthcare use during the first-year post-stroke in patients receiving referral-based transition to continued rehabilitation in the home. The different patterns of healthcare use seemed to mirror the participants’ level of functioning. However, there is a need to further investigate how follow-up and rehabilitation correspond to the needs of patients and their significant others in the short- and long-term perspective. Trial registration ClinicalTrials.gov , registration number: NCT02925871 . Date of registration: October 6, 2016.

Abstract Objective To describe how longitudinal continuity of care (COC) is measured using claims-based data and to review its association with healthcare use and costs. Research design Rapid review of the literature. Methods We searched Medline (PubMed), EMBASE and Cochrane Central, manually checked the references of included studies, and hand-searched websites for potentially additional eligible studies. Results We included 46 studies conducted in North America, East Asia and Europe, which used 14 COC indicators. Most reported studies (39/46) showed that higher COC was associated with lower healthcare use and costs. Most studies (37/46) adjusted for possible time bias and discussed causality between the outcomes and COC, or at least acknowledged the lack of it as a limitation. Conclusions Whereas a wide range of indicators is used to measure COC in claims-based data, associations between COC and healthcare use and costs were consistent, showing lower healthcare use and costs with higher COC. Results were observed in various population groups from multiple countries and settings. Further research is needed to make stronger causal claims.

Abstract Background Healthcare use is increasing, and health anxiety (HA) is recognized as an important associated factor. Previous research on the association between HA and healthcare use has mostly explored HA as a dichotomous construct, which contrasts the understanding of HA as a continuous construct, and compared healthcare use to non-use. There is a need for studies that examine the association between healthcare use and the continuum of HA in a general population. Aim To explore the association between HA and primary, somatic specialist and mental specialist healthcare use and any differences in the association by level of healthcare use. Methods This study used cross-sectional data from the seventh Tromsø study. Eighteen thousand nine hundred sixty-seven participants aged 40 years or older self-reported their primary, somatic specialist and mental specialist healthcare use over the past 12 months. Each health service was categorized into 5 groups according to the level of use. The Whiteley Index-6 (WI-6) was used to measure HA on a 5-point Likert scale, with a total score range of 0–24. Analyses were conducted using unconstrained continuation-ratio logistic regression, in which each level of healthcare use was compared with all lower levels. Morbidity, demographics and social variables were included as confounders. Results HA was positively associated with increased utilization of primary, somatic specialist and mental specialist healthcare. Adjusting for confounders, including physical and mental morbidity, did not alter the significant association. For primary and somatic specialist healthcare, each one-point increase in WI-6 score yielded a progressively increased odds ratio (OR) of a higher level of use compared to all lower levels. The ORs ranged from 1.06 to 1.15 and 1.05 to 1.14 for primary and somatic specialist healthcare, respectively. For mental specialist healthcare use, the OR was more constant across levels of use, ranging between 1.06 and 1.08. Conclusions In an adult general population, HA, as a continuous construct, was significantly and positively associated with primary, somatic specialist and mental healthcare use. A small increase in HA was associated with progressively increased healthcare use across the three health services, indicating that the impact of HA is more prominent with higher healthcare use.

Abstract Background Health insurance (HI) has increasingly been accepted as a mechanism to facilitate access to healthcare in low and middle-income countries. However, health insurance members, especially those in Sub-Saharan Africa, have reported a low responsiveness in health systems. This study aimed to explore the experiences and perceptions of healthcare services from the perspective of insured and uninsured elderly in rural Tanzania. Method An explanatory qualitative study was conducted in the rural districts of Igunga and Nzega, located in western-central Tanzania. Eight focus group discussions were carried out with 78 insured and uninsured elderly men and women who were purposely selected because they were 60 years of age or older and had utilised healthcare services in the past 12 months prior to the study. The interview questions were inspired by the domains of health systems’ responsiveness. Qualitative content analysis was used to analyse the data. Results Elderly participants appreciated that HI had facilitated the access to healthcare and protected them from certain costs. But they also complained that HI had failed to provide equitable access due to limited service benefits and restricted use of services within schemes. Although elderly perspectives varied widely across the domains of responsiveness, insured individuals generally expressed dissatisfaction with their healthcare. Conclusions The national health insurance policy should be revisited in order to improve its implementation and expand the scope of service coverage. Strategic decisions are required to improve the healthcare infrastructure, increase the number of healthcare workers, ensure the availability of medicines and testing facilities at healthcare centers, and reduce long administrative procedures related to HI. A continuous training plan for healthcare workers focused on patients´ communication skills and care rights is highly recommended.

Abstract Background Reducing the economic impact of hip fractures (HF) is a global issue. Some efforts aimed at curtailing costs associated with HF include rehabilitating patients within primary care. Little, however, is known about how different rehabilitation settings within primary care influence patients’ subsequent risk of institutionalization for long-term care (LTC). This study examines the association between rehabilitation setting (outside an institution versus short-term rehabilitation stay in an institution, both during 30 days post-discharge for HF) and risk of institutionalization in a nursing home (at 6–12 months from the index admission). Methods Data were for 612 HF incidents across 611 patients aged 50 years and older, who were hospitalized between 2008 and 2013 in Oslo, Norway, and who lived at home prior to the incidence. We used logistic regression to examine the effect of rehabilitation setting on risk of institutionalization, and adjusted for patients’ age, gender, health characteristics, functional level, use of healthcare services, and socioeconomic characteristics. The models also included fixed-effects for Oslo’s boroughs to control for supply-side and unobserved effects. Results The sample of HF patients had a mean age of 82.4 years, and 78.9 % were women. Within 30 days after hospital discharge, 49.0 % of patients received rehabilitation outside an institution, while the remaining 51.0 % received a short-term rehabilitation stay in an institution. Receiving rehabilitation outside an institution was associated with a 58 % lower odds (OR = 0.42, 95 % CI = 0.23–0.76) of living in a nursing home at 6–12 months after the index admission. The patients who were admitted to a nursing home for LTC were older, more dependent on help with their memory, and had a substantially greater increase in the use of municipal healthcare services after the HF. Conclusions The setting in which HF patients receive rehabilitation is associated with their likelihood of institutionalization. In the current study, patients who received rehabilitation outside of an institution were less likely to be admitted to a nursing home for LTC, compared to those who received a short-term rehabilitation stay in an institution. These results suggest that providing rehabilitation at home may be favorable in terms of reducing risk of institutionalization for HF patients.

Background: There is a lack of knowledge about patients' journeys across the stroke care continuum, especially regarding the transition from inpatient to outpatient care and rehabilitation. Therefore, the aim of the present study was to explore and describe patterns of healthcare use over a one-year period, health outcomes at 3 and 12 months for patients following a referral-based transition to subsequent rehabilitation in the home, and the caregiver burden on their significant others. A further aim was to explore factors associated with the use of rehabilitation and healthcare after the referral-based transition to continued rehabilitation in the home for people recovering from a stroke.Methods: Data regarding healthcare use during the first 12 months post-stroke was collected from the Region Stockholm computerized register. Data on patient characteristics, disease-related data, and functioning were retrieved drawn from medical records and questionnaires. Descriptive statistics were used to present healthcare use, participants' characteristics, disease-related data, and patient functioning. Multivariable regression models were created to explore associations between the total number of outpatient contacts, total visits with the neurorehabilitation team, and the independent variables.Results: The mean age for the 190 participants was 73 years for men and 78 years for women. Twenty-one participants (11%) had an acute rehospitalization within 30 days after discharge, and 41 participants (21%) were re-hospitalized within 90 days. Twenty-two (12%) of the participants had no visits with the neurorehabilitation team, 73 (39%) participants had 1-3 visits, 57 (30%) had 4-16 visits, and 38 (20%) had ≥17 visits. Female sex and length of hospital stay were associated with a higher number of visits with the neurorehabilitation team. Living alone, higher self-rated recovery, and being able to walk independently were associated with a lower number of visits with the neurorehabilitation team. Female sex, having home help services before the stroke, longer length of hospital stay, and more comorbidities were associated with a higher number of outpatient contacts.Conclusions: The findings indicate that there is no generic pattern of healthcare use during the first-year post-stroke in patients receiving referral-based transition to continued rehabilitation in the home. The different patterns of healthcare use seemed to mirror the participants' level of functioning. However, there is a need to further investigate how follow-up and rehabilitation correspond to the needs of patients and their significant others in the short- and long-term perspective.Trial Registration: ClinicalTrials.gov , registration number: NCT02925871 . Date of registration: October 6, 2016. [ABSTRACT FROM AUTHOR]

Background: Healthcare use is increasing, and health anxiety (HA) is recognized as an important associated factor. Previous research on the association between HA and healthcare use has mostly explored HA as a dichotomous construct, which contrasts the understanding of HA as a continuous construct, and compared healthcare use to non-use. There is a need for studies that examine the association between healthcare use and the continuum of HA in a general population.Aim: To explore the association between HA and primary, somatic specialist and mental specialist healthcare use and any differences in the association by level of healthcare use.Methods: This study used cross-sectional data from the seventh Tromsø study. Eighteen thousand nine hundred sixty-seven participants aged 40 years or older self-reported their primary, somatic specialist and mental specialist healthcare use over the past 12 months. Each health service was categorized into 5 groups according to the level of use. The Whiteley Index-6 (WI-6) was used to measure HA on a 5-point Likert scale, with a total score range of 0-24. Analyses were conducted using unconstrained continuation-ratio logistic regression, in which each level of healthcare use was compared with all lower levels. Morbidity, demographics and social variables were included as confounders.Results: HA was positively associated with increased utilization of primary, somatic specialist and mental specialist healthcare. Adjusting for confounders, including physical and mental morbidity, did not alter the significant association. For primary and somatic specialist healthcare, each one-point increase in WI-6 score yielded a progressively increased odds ratio (OR) of a higher level of use compared to all lower levels. The ORs ranged from 1.06 to 1.15 and 1.05 to 1.14 for primary and somatic specialist healthcare, respectively. For mental specialist healthcare use, the OR was more constant across levels of use, ranging between 1.06 and 1.08.Conclusions: In an adult general population, HA, as a continuous construct, was significantly and positively associated with primary, somatic specialist and mental healthcare use. A small increase in HA was associated with progressively increased healthcare use across the three health services, indicating that the impact of HA is more prominent with higher healthcare use. [ABSTRACT FROM AUTHOR]

Abstract Background This study aimed to examine the healthcare-seeking (hospital, primary and preventive care) and healthcare utilisation behaviour of patients with private health insurance (PHI) in Australia. It also aimed to examine the socioeconomic, demographic and lifestyle factors that influence the choice of hospital care in Australia. Method A logistic regression model with repeated measure t-test and Pearson’s Chi-square test were used to identify the factors that affect the choice of care. Data from waves 9 (2009) and 13 (2013) of the nationally-representative Household, Income and Labour Dynamics in Australia (HILDA) survey were used in the analysis. Results Patients with PHI had a higher number of hospital nights’ stay despite having a lower number of hospital admissions than those without private cover. Significant disparities were identified in preventive and specialist care use between patients with cover and without cover. No significant variations were observed in healthcare utilisation for PHI patients before and after dropping PHI. One in four patients chose to use public hospitals despite holding PHI cover. Moreover, those insured and from lower socioeconomic backgrounds and those who were younger and without long-term health conditions showed a higher probability of selecting public rather than private care. Conclusions It is evident that PHI cover encourages people to use private care. However, a considerable number of PHI patients are using public care, even though eligible for private care may indicate consumer information asymmetry.

Background: Health insurance (HI) has increasingly been accepted as a mechanism to facilitate access to healthcare in low and middle-income countries. However, health insurance members, especially those in Sub-Saharan Africa, have reported a low responsiveness in health systems. This study aimed to explore the experiences and perceptions of healthcare services from the perspective of insured and uninsured elderly in rural Tanzania.Method: An explanatory qualitative study was conducted in the rural districts of Igunga and Nzega, located in western-central Tanzania. Eight focus group discussions were carried out with 78 insured and uninsured elderly men and women who were purposely selected because they were 60 years of age or older and had utilised healthcare services in the past 12 months prior to the study. The interview questions were inspired by the domains of health systems' responsiveness. Qualitative content analysis was used to analyse the data.Results: Elderly participants appreciated that HI had facilitated the access to healthcare and protected them from certain costs. But they also complained that HI had failed to provide equitable access due to limited service benefits and restricted use of services within schemes. Although elderly perspectives varied widely across the domains of responsiveness, insured individuals generally expressed dissatisfaction with their healthcare.Conclusions: The national health insurance policy should be revisited in order to improve its implementation and expand the scope of service coverage. Strategic decisions are required to improve the healthcare infrastructure, increase the number of healthcare workers, ensure the availability of medicines and testing facilities at healthcare centers, and reduce long administrative procedures related to HI. A continuous training plan for healthcare workers focused on patients´ communication skills and care rights is highly recommended. [ABSTRACT FROM AUTHOR]

Background: Reducing the economic impact of hip fractures (HF) is a global issue. Some efforts aimed at curtailing costs associated with HF include rehabilitating patients within primary care. Little, however, is known about how different rehabilitation settings within primary care influence patients' subsequent risk of institutionalization for long-term care (LTC). This study examines the association between rehabilitation setting (outside an institution versus short-term rehabilitation stay in an institution, both during 30 days post-discharge for HF) and risk of institutionalization in a nursing home (at 6-12 months from the index admission).Methods: Data were for 612 HF incidents across 611 patients aged 50 years and older, who were hospitalized between 2008 and 2013 in Oslo, Norway, and who lived at home prior to the incidence. We used logistic regression to examine the effect of rehabilitation setting on risk of institutionalization, and adjusted for patients' age, gender, health characteristics, functional level, use of healthcare services, and socioeconomic characteristics. The models also included fixed-effects for Oslo's boroughs to control for supply-side and unobserved effects.Results: The sample of HF patients had a mean age of 82.4 years, and 78.9 % were women. Within 30 days after hospital discharge, 49.0 % of patients received rehabilitation outside an institution, while the remaining 51.0 % received a short-term rehabilitation stay in an institution. Receiving rehabilitation outside an institution was associated with a 58 % lower odds (OR = 0.42, 95 % CI = 0.23-0.76) of living in a nursing home at 6-12 months after the index admission. The patients who were admitted to a nursing home for LTC were older, more dependent on help with their memory, and had a substantially greater increase in the use of municipal healthcare services after the HF.Conclusions: The setting in which HF patients receive rehabilitation is associated with their likelihood of institutionalization. In the current study, patients who received rehabilitation outside of an institution were less likely to be admitted to a nursing home for LTC, compared to those who received a short-term rehabilitation stay in an institution. These results suggest that providing rehabilitation at home may be favorable in terms of reducing risk of institutionalization for HF patients. [ABSTRACT FROM AUTHOR]

Abstract Background There is an increase in studies investigating the use of healthcare services prior to suicide. Although studies generally report high usage, there are no previous studies comparing immigrants’ use of primary healthcare (PHC) prior to suicide with that of majority populations. There is a strong influx of immigrants in Europe, and thus a growing demand for filling this knowledge gap and exploiting unused potential for suicide prevention. Method By linking three national registers, we examine contact with PHC prior to suicide in all suicide cases in Norway from 2007 to 2014 among individuals aged 15 years and over (N = 4341). We report the percentage of individuals in personal contact within the last 6 months, 1 month and 1 week prior to suicide, and use the chi square-test for association. Results Overall, immigrants have less contact with PHC prior to suicide. We find significantly lower rates of contact among immigrants, both 6 months and 1 month prior to suicide, for both sexes. The trend is similar in the last week prior to suicide, but less pronounced. The largest variance in contact with PHC prior to suicide is amongst 30–44 year olds. Young, male immigrant suicide victims have the lowest rates of contact with PHC prior to suicide. Contact rates increase with age for all men and women in the majority population, but not for female immigrant suicide victims. Conclusions There is a clear difference in rates of contact with PHC prior to suicide between the majority and immigrant populations. The rates are especially low among young males, and measures should be made to lower their threshold for consulting PHC for young males in general and young male immigrants in particular. The difference in contact due to immigrant status appears to be of equal importance as the difference due to sex, although, with few significant results, a conclusion is hard to draw.

Abstract Background Residence in public housing, a subsidized and managed government program, may affect health and healthcare utilization. We compared healthcare use in the year before individuals moved into public housing with usage during their first year of tenancy. We also described trends in use. Methods We used linked population-based administrative data housed in the Population Research Data Repository at the Manitoba Centre for Health Policy. The cohort consisted of individuals who moved into public housing in 2009 and 2010. We counted the number of hospitalizations, general practitioner (GP) visits, specialist visits, emergency department visits, and prescriptions drugs dispensed in the twelve 30-day intervals (i.e., months) immediately preceding and following the public housing move-in date. Generalized linear models with generalized estimating equations tested for a period (pre/post-move-in) by month interaction. Odds ratios (ORs), incident rate ratios (IRRs), and means are reported along with 95% confidence intervals (95% CIs). Results The cohort included 1942 individuals; the majority were female (73.4%) who lived in low income areas and received government assistance (68.1%). On average, the cohort had more than four health conditions. Over the 24 30-day intervals, the percentage of the cohort that visited a GP, specialist, and an emergency department ranged between 37.0% and 43.0%, 10.0% and 14.0%, and 6.0% and 10.0%, respectively, while the percentage of the cohort hospitalized ranged from 1.0% to 5.0%. Generally, these percentages were highest in the few months before the move-in date and lowest in the few months after the move-in date. The period by month interaction was statistically significant for hospitalizations, GP visits, and prescription drug use. The average change in the odds, rate, or mean was smaller in the post-move-in period than in the pre-move-in period. Conclusions Use of some healthcare services declined after people moved into public housing; however, the decrease was only observed in the first few months and utilization rebounded. Knowledge of healthcare trends before individuals move in are informative for ensuring the appropriate supports are available to new public housing residents. Further study is needed to determine if decreased healthcare utilization following a move is attributable to decreased access.

Abstract Background Low socioeconomic status (SES) is persistently associated with poor health and suboptimal use of healthcare services, and more unplanned healthcare use. Suboptimal use of emergency and acute healthcare services may increase health inequalities, due to late diagnosis or lack of continuity of care. Given that health literacy has been associated with healthcare utilisation and with education attainment, we sought to explore whether health literacy is related to the use of out-of-hours (OOH) Primary Care Services (PCSs). Additionally, we aimed to study whether and to what extent health literacy accounts for some of the association between education and OOH PSC use. Methods A survey including measures of education attainment, health literacy (assessed by means of the Dutch version of the nine-dimension Health Literacy Questionnaire) and use of PCS was conducted among a sample of adults diagnosed with (any) somatic chronic condition in the Netherlands (response 76.3%, n = 1811). We conducted linear and logistic regression analyses to examine associations between education level and PCS use in the past year. We performed mediation analyses to assess whether the association between education and PCS use was (partly) explained by different aspects of health literacy. We adjusted the models for patient characteristics such as age and morbidity. Results Higher education attainment was associated with higher scores on the health literacy aspects Appraisal of health information, and Navigating the healthcare system. Additionally, appraisal and navigating the healthcare system partially accounted for educational differences in PCS use. Finally, higher appraisal of health information scores were associated with higher PCS utilisation. Conclusion Several aspects of health literacy were demonstrated to relate to PCS use, and partly accounted for educational differences herein. Accordingly, developing health literacy within individuals or communities may help to reduce inappropriate PCS use among people with low education.

Abstract Background To improve care, planners require accurate information about nursing home (NH) residents and their healthcare use. We evaluated how accurately measures of resident user status and healthcare use were captured in the Minimum Data Set (MDS) versus administrative data. Methods This retrospective observational cohort study was conducted on all NH residents (N = 8832) from Winnipeg, Manitoba, Canada, between April 1, 2011 and March 31, 2013. Six study measures exist. NH user status (newly admitted NH residents, those who transferred from one NH to another, and those who died) was measured using both MDS and administrative data. Rates of in-patient hospitalizations, emergency department (ED) visits without subsequent hospitalization, and physician examinations were also measured in each data source. We calculated the sensitivity, specificity, positive and negative predictive values (PPV, NPV), and overall agreement (kappa, κ) of each measure as captured by MDS using administrative data as the reference source. Also for each measure, logistic regression tested if the level of disagreement between data systems was associated with resident age and sex plus NH owner-operator status. Results MDS accurately identified newly admitted residents (κ = 0.97), those who transferred between NHs (κ = 0.90), and those who died (κ = 0.95). Measures of healthcare use were captured less accurately by MDS, with high levels of both under-reporting and false positives (e.g., for in-patient hospitalizations sensitivity = 0.58, PPV = 0.45), and moderate overall agreement levels (e.g., κ = 0.39 for ED visits). Disagreement was sometimes greater for younger males, and for residents living in for-profit NHs. Conclusions MDS can be used as a stand-alone tool to accurately capture basic measures of NH use (admission, transfer, and death), and by proxy NH length of stay. As compared to administrative data, MDS does not accurately capture NH resident healthcare use. Research investigating these and other healthcare transitions by NH residents requires a combination of the MDS and administrative data systems.

Background: This study aimed to examine the healthcare-seeking (hospital, primary and preventive care) and healthcare utilisation behaviour of patients with private health insurance (PHI) in Australia. It also aimed to examine the socioeconomic, demographic and lifestyle factors that influence the choice of hospital care in Australia.Method: A logistic regression model with repeated measure t-test and Pearson's Chi-square test were used to identify the factors that affect the choice of care. Data from waves 9 (2009) and 13 (2013) of the nationally-representative Household, Income and Labour Dynamics in Australia (HILDA) survey were used in the analysis.Results: Patients with PHI had a higher number of hospital nights' stay despite having a lower number of hospital admissions than those without private cover. Significant disparities were identified in preventive and specialist care use between patients with cover and without cover. No significant variations were observed in healthcare utilisation for PHI patients before and after dropping PHI. One in four patients chose to use public hospitals despite holding PHI cover. Moreover, those insured and from lower socioeconomic backgrounds and those who were younger and without long-term health conditions showed a higher probability of selecting public rather than private care.Conclusions: It is evident that PHI cover encourages people to use private care. However, a considerable number of PHI patients are using public care, even though eligible for private care may indicate consumer information asymmetry. [ABSTRACT FROM AUTHOR]

Abstract Background The aim of this study was to compare disease status and health care use 1 year before and 1 year after skilled nursing home (SNH) admission. Methods People over the age of 65 years admitted to SNH during the first quarter of 2013, covered by the national health insurance general scheme (69% of the population of this age), and still alive 1 year after admission were identified (n = 14,487, mean age: 86 years, women: 76%). Their reimbursed health care was extracted from the Système National d’Information Interrégimes de l’Assurance Maladie (SNIIRAM) [National Health Insurance Information System]. Results One year after nursing home admission, the most prevalent diseases were cardiovascular/neurovascular diseases and neurodegenerative diseases (affecting 45% and 40% of people before admission vs 51% and 53% after admission, respectively). Physical therapy use increased (43% vs 64% of people had at least one physical therapy session during the year, with an average of 47 vs 84 sessions/person during the year), while specialist consultations decreased (29% of people consulted an ophthalmologist at least once during the year before admission vs 25% after admission; 27% vs 21% consulted a cardiologist). Hospitalization rates were lower during the year following institutionalization (75% vs 40% of people were hospitalized at least once during the year), together with a lower emergency admission rate and a higher day admission rate. Conclusions Analysis of the new French reimbursement database specific to SNH shows that nursing home admission is associated with a reduction of some forms of outpatient care and hospitalizations.

Background: The aim of this study was to compare disease status and health care use 1 year before and 1 year after skilled nursing home (SNH) admission.Methods: People over the age of 65 years admitted to SNH during the first quarter of 2013, covered by the national health insurance general scheme (69% of the population of this age), and still alive 1 year after admission were identified (n = 14,487, mean age: 86 years, women: 76%). Their reimbursed health care was extracted from the Système National d'Information Interrégimes de l'Assurance Maladie (SNIIRAM) [National Health Insurance Information System].Results: One year after nursing home admission, the most prevalent diseases were cardiovascular/neurovascular diseases and neurodegenerative diseases (affecting 45% and 40% of people before admission vs 51% and 53% after admission, respectively). Physical therapy use increased (43% vs 64% of people had at least one physical therapy session during the year, with an average of 47 vs 84 sessions/person during the year), while specialist consultations decreased (29% of people consulted an ophthalmologist at least once during the year before admission vs 25% after admission; 27% vs 21% consulted a cardiologist). Hospitalization rates were lower during the year following institutionalization (75% vs 40% of people were hospitalized at least once during the year), together with a lower emergency admission rate and a higher day admission rate.Conclusions: Analysis of the new French reimbursement database specific to SNH shows that nursing home admission is associated with a reduction of some forms of outpatient care and hospitalizations. [ABSTRACT FROM AUTHOR]

Background: Low socioeconomic status (SES) is persistently associated with poor health and suboptimal use of healthcare services, and more unplanned healthcare use. Suboptimal use of emergency and acute healthcare services may increase health inequalities, due to late diagnosis or lack of continuity of care. Given that health literacy has been associated with healthcare utilisation and with education attainment, we sought to explore whether health literacy is related to the use of out-of-hours (OOH) Primary Care Services (PCSs). Additionally, we aimed to study whether and to what extent health literacy accounts for some of the association between education and OOH PSC use.Methods: A survey including measures of education attainment, health literacy (assessed by means of the Dutch version of the nine-dimension Health Literacy Questionnaire) and use of PCS was conducted among a sample of adults diagnosed with (any) somatic chronic condition in the Netherlands (response 76.3%, n = 1811). We conducted linear and logistic regression analyses to examine associations between education level and PCS use in the past year. We performed mediation analyses to assess whether the association between education and PCS use was (partly) explained by different aspects of health literacy. We adjusted the models for patient characteristics such as age and morbidity.Results: Higher education attainment was associated with higher scores on the health literacy aspects Appraisal of health information, and Navigating the healthcare system. Additionally, appraisal and navigating the healthcare system partially accounted for educational differences in PCS use. Finally, higher appraisal of health information scores were associated with higher PCS utilisation.Conclusion: Several aspects of health literacy were demonstrated to relate to PCS use, and partly accounted for educational differences herein. Accordingly, developing health literacy within individuals or communities may help to reduce inappropriate PCS use among people with low education. [ABSTRACT FROM AUTHOR]

Background: To improve care, planners require accurate information about nursing home (NH) residents and their healthcare use. We evaluated how accurately measures of resident user status and healthcare use were captured in the Minimum Data Set (MDS) versus administrative data.Methods: This retrospective observational cohort study was conducted on all NH residents (N = 8832) from Winnipeg, Manitoba, Canada, between April 1, 2011 and March 31, 2013. Six study measures exist. NH user status (newly admitted NH residents, those who transferred from one NH to another, and those who died) was measured using both MDS and administrative data. Rates of in-patient hospitalizations, emergency department (ED) visits without subsequent hospitalization, and physician examinations were also measured in each data source. We calculated the sensitivity, specificity, positive and negative predictive values (PPV, NPV), and overall agreement (kappa, κ) of each measure as captured by MDS using administrative data as the reference source. Also for each measure, logistic regression tested if the level of disagreement between data systems was associated with resident age and sex plus NH owner-operator status.Results: MDS accurately identified newly admitted residents (κ = 0.97), those who transferred between NHs (κ = 0.90), and those who died (κ = 0.95). Measures of healthcare use were captured less accurately by MDS, with high levels of both under-reporting and false positives (e.g., for in-patient hospitalizations sensitivity = 0.58, PPV = 0.45), and moderate overall agreement levels (e.g., κ = 0.39 for ED visits). Disagreement was sometimes greater for younger males, and for residents living in for-profit NHs.Conclusions: MDS can be used as a stand-alone tool to accurately capture basic measures of NH use (admission, transfer, and death), and by proxy NH length of stay. As compared to administrative data, MDS does not accurately capture NH resident healthcare use. Research investigating these and other healthcare transitions by NH residents requires a combination of the MDS and administrative data systems. [ABSTRACT FROM AUTHOR]