24 research outputs found
Smoking behaviors before and after implementation of a smoke-free legislation in Guangzhou, China
BACKGROUND: According to the partial smoke-free legislation implemented on 1 September 2010 in Guangzhou, China, smoke-free did not cover all indoor areas. Some places have a full smoking ban (100 % smoke-free), other places have a partial smoking ban, and homes have no ban. This study aimed to compare the smoking behaviors before and after implementation of a smoke-free legislation. METHOD: A repeated cross-sectional survey was conducted on smoking-related behaviors with a total of 4,900 respondents before, and 5,135 respondents after the legislation was instituted. For each wave of the survey, a three-stage stratified sampling process was used to obtain a representative sample. Pearson’s Chi-square test was used to determine differences of smoking prevalence and quit ratio between the two samples. Logistic regression models were used to examine the associations of a smoke-free legislation with smoking behaviors. RESULTS: The overall daily smoking rate declined significantly from 20.8 % to 18.2 % (p < 0.05), especially among those aged 15–24 years. The quit ratios increased significantly (from 14.5 % to 17.9 %), but remained low among 15–44 year olds. The overall self-reported smoking behaviors in locations with a full smoking ban decreased significantly from 36.4 % to 24.3 % with the greater drops occurring in cultural venues, public transport vehicles, and government offices. Smoking in places with partial smoking bans remained high (89.6 % vs. 90.4 %), although a slight decrease was observed in some of these areas. The implementation of a smoke-free legislation did not lead to more smoking in homes (91.0 % vs 89.4 %), but smoking in homes remained high. CONCLUSIONS: These findings highlight the urgent need for a comprehensive smoke-free legislation covering all public places in Guangzhou, simultaneously educational interventions and campaigns promoting voluntary changes in home smoking need to occur
Axis I and II disorders as long-term predictors of mental distress: a six-year prospective follow-up of substance-dependent patients
<p>Abstract</p> <p>Background</p> <p>A high prevalence of lifetime psychiatric disorders among help-seeking substance abusers has been clearly established. However, the long-term course of psychiatric disorders and mental distress among help-seeking substance abusers is still unclear. The aim of this research was to examine the course of mental distress using a six-year follow-up study of treatment-seeking substance-dependent patients, and to explore whether lifetime Axis I and II disorders measured at admission predict the level of mental distress at follow-up, when age, sex, and substance-use variables measured both at baseline and at follow-up are controlled for. </p> <p>Methods</p> <p>A consecutive sample of substance dependent in- and outpatients (n = 287) from two counties of Norway were assessed at baseline (T1) with the Composite International Diagnostic Interview (Axis I), Millon's Clinical Multiaxial Inventory (Axis II), and the Hopkins Symptom Checklist (HSCL-25 (mental distress)). At follow-up (T2), 48% (137/287 subjects, 29% women) were assessed with the HSCL-25, the Alcohol Use Disorders Identification Test, and the Drug Use Disorders Identification Test. </p> <p>Results</p> <p>The stability of mental distress is a main finding and the level of mental distress remained high after six years, but was significantly lower among abstainers at T2, especially among female abstainers. Both the number of and specific lifetime Axis I disorders (social anxiety disorder, generalized anxiety disorder, and somatization disorder), the number of and specific Axis II disorders (anxious and impulsive personality disorders), and the severity of substance-use disorder at the index admission were all independent predictors of a high level of mental distress at follow-up, even when we controlled for age, sex, and substance use at follow-up.</p> <p>Conclusion</p> <p>These results underscore the importance of diagnosing and treating both substance-use disorder and non-substance-use disorder Axis I and Axis II disorders in the same programme.</p
European Regional Differences in All-Cause Mortality and Length of Stay for Patients with Hip Fracture
Background: Today’s healthcare systems face challenges involving rising need and demand
for healthcare as well as concerns about cost containment, misuse of medical services and
unwarranted variations in medical practices. Given the stretched budgets for healthcare, there
is a need to improve healthcare performance and to make competent use of limited resources.
To support organisations in improving performance, benchmarking is a valuable tool for
several reasons. First, it is an effective substitute for competition in the public sector. Second,
through benchmarking, performance differences between organisations in various measures
are revealed, and for those performing less optimally, possible improvement areas may be
discovered. Third, benchmarking is useful for evaluating the impact of healthcare reforms on
performance. Coupled with big data from patient registers and other administrative registers,
benchmarking thus can offer opportunities for finding ideal structures in the provision and
financing of healthcare.
Aim: The overall aim of this thesis was to show how benchmarking can be applied to assess
healthcare performance with the use of register data.
Methods: The four studies included in the thesis were based on two comprehensive patientlevel
datasets, with data obtained from multiple registers. Study I applied international
benchmarking, with the performance for the surgical treatment of hip fractures being assessed
between and within seven European countries. Regression analyses were used to explore
associations between age- and sex-adjusted mortality rates and length of stay (LOS) and
selected country- and region-level variables.
In Studies II–IV, a national perspective was considered in the assessment of the performance
of elective hip replacement surgery in Sweden. In Study II, the orthopaedic departments’
productivity development between 2005 and 2012 was measured by the Malmquist
Productivity Indices. The indices were further decomposed into changes in efficiency and
technology. In Studies III and IV, a quasi-experimental research design was applied to assess
the effects of a healthcare reform involving competition and financial incentives introduced in
the capital region in 2009. In both studies, difference-in-difference analysis was used to
estimate the causal effects on LOS and various measures of subjective and objective quality.
In Study III, the difference-in-difference analyses were also stratified by hospital type to
examine whether the reform had heterogenous effects across hospital types. In Study IV, an
entropy balancing algorithm was further applied to make the intervention and control groups
comparable.
Findings: Study I revealed marked differences in age- and sex-adjusted LOS and mortality
rates for hip fracture patients, across and within included countries. Variations were found to
be associated with the availability of national clinical guidelines, the share of males in the
region and country-specific effects.
In Study II, differences in the development of productivity, efficiency and technology in the
provision of hip replacement surgery across and within the orthopaedic departments were
revealed. The overall results indicated a slight positive productivity development over the study
period, which was primarily due to catch-up effects (improvements in efficiency), rather than
changes in technology.
The findings from Study III indicated that the reform led to the LOS of the surgical admission
not decreasing at the same rate as before, and to reduction of the adverse event rate within 90
days following surgery. These effects were driven mainly by university and central hospitals.
Furthermore, the reform brought no changes in patient satisfaction with the outcome of the
surgery (Study III and Study IV) or gains in various patient-reported outcome measures at oneand
six-year follow-ups (Study IV).
Conclusions: The thesis has demonstrated how benchmarking can be applied to assess
healthcare performance with the use of register data, with the four studies contributing with
various perspectives and measurements at different levels of healthcare systems. First, the
thesis has exemplified how performance measurement can be applied to identify and analyse
performance gaps. Considerable variations in the performance of orthopaedic care between and
within units of analysis were revealed at the departmental and international levels. This implies
that there is room for improvement and that stakeholders should learn from best practices.
Second, the thesis has demonstrated how benchmarking can be useful in the assessment of
healthcare reforms. The findings indicated that the studied reform reduced the adverse event
rate, led to LOS not decreasing at the same rate as before and had no effect on patient-reported
outcome measures. These findings contribute to the general knowledge about the effects of
market elements and financial incentives and can be used to inform decisionmaking.
Future perspectives should focus on how this information can and should be used in practice
to change organisations’ behaviour and to improve healthcare performance
Economic incentives and diagnostic coding in a public health care system
We analysed the association between economic incentives and diagnostic coding practice in the Norwegian public health care system. Data included 3,180,578 hospital discharges in Norway covering the period 1999–2008. For reimbursement purposes, all discharges are grouped in diagnosis-related groups (DRGs). We examined pairs of DRGs where the addition of one or more specific diagnoses places the patient in a complicated rather than an uncomplicated group, yielding higher reimbursement. The economic incentive was measured as the potential gain in income by coding a patient as complicated, and we analysed the association between this gain and the share of complicated discharges within the DRG pairs. Using multilevel linear regression modelling, we estimated both differences between hospitals for each DRG pair and changes within hospitals for each DRG pair over time. Over the whole period, a one-DRG-point difference in price was associated with an increased share of complicated discharges of 14.2 (95 % confidence interval [CI] 11.2–17.2) percentage points. However, a one-DRG-point change in prices between years was only associated with a 0.4 (95 % CI −1.1 −1.1 to 1.8) percentage point change of discharges into the most complicated diagnostic category. Although there was a strong increase in complicated discharges over time, this was not as closely related to price changes as expected.publishedVersio
Rationally Risking Addiction: A Two-Stage Approach
We extend the Becker-Murphy rational addiction model to account for a period before the onset of addiction. While during the first stage of recreational consumption of the addictive good does not imply negative effects, the second stage is analogous to the classical Becker-Murphy model. In line with neurological research, the onset of addiction is a random event positively related to the past consumption of the addictive good. The resulting multistage optimal control model with random switching time is analyzed by way of a transformation into an age-structured deterministic optimal control model. This enables us to analyze in detail the anticipation of the second stage, including the possible emergence of a Skiba point. A numerical example demonstrates that it is optimal to stop consuming the addictive good in case of an early onset (i.e. at a low level of cumulative consumption) of addiction. A late onset tends to lead into long-run addiction