scholarly journals Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis

BJGP Open ◽  
2021 ◽  
pp. BJGPO.2021.0146
Author(s):  
Chris Sampson ◽  
Eleanor Bell ◽  
Amanda Cole ◽  
Christopher B Miller ◽  
Tracey Marriott ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Cognitive Behavioural Therapy ◽  
Interrupted Time Series ◽  
Behavioural Therapy ◽  
Interrupted Time Series Analysis ◽  
Cognitive Behavioural ◽  
Before And After ◽  
Quasi Experimental ◽  
Care Costs

BackgroundSleepio is an automated digital programme that delivers cognitive behavioural therapy for insomnia (dCBT-I). Sleepio has been proven effective in improving sleep difficulties. However, evidence for the possible impact of Sleepio use on health care costs in the United Kingdom has not previously been developed.AimWe sought to identify the effect of a population-wide rollout of Sleepio in terms of primary care costs in the National Health Service (NHS) in England.Design & settingThe study was conducted in the Thames Valley region of England, where access to Sleepio was made freely available to all residents between October 2018 and January 2020. The study relies on a quasi-experimental design, using an interrupted time series to compare the trend in primary care costs before and after the rollout of Sleepio.MethodWe use primary care data for people with relevant characteristics from nine general practices in Buckinghamshire. Primary care costs include general practice contacts and prescriptions. Segmented regression analysis was used to estimate primary and secondary outcomes.ResultsFor the 10,704 patients included in our sample, the total saving over the 65-week follow-up period was £71,027. This corresponds to £6.64 per person in our sample or around £70.44 per Sleepio user. Secondary analyses suggest that savings may be driven primarily by reductions in prescribing.ConclusionSleepio rollout reduced primary care costs. National adoption of Sleepio may reduce primary care costs by £20 million in the first year. The expected impact on primary care costs in any particular setting will depend on the uptake of Sleepio.

scholarly journals Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis

2021 ◽  
Author(s):  
Chris Sampson ◽  
Eleanor Bell ◽  
Amanda Cole ◽  
Christopher B. Miller ◽  
James Rose
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Cognitive Behavioural Therapy ◽  
Interrupted Time Series ◽  
Behavioural Therapy ◽  
Interrupted Time Series Analysis ◽  
Cognitive Behavioural ◽  
Before And After ◽  
Quasi Experimental ◽  
Care Costs

AbstractBackgroundSleepio is an automated digital programme that delivers cognitive behavioural therapy for insomnia. Sleepio has been proven effective in improving sleep difficulties. However, evidence for the possible impact of Sleepio use on health care costs in the United Kingdom has not previously been developed. In this study, we assessed the effect of a population-wide rollout of Sleepio in terms of primary care costs in the National Health Service (NHS) in England.MethodsThe study was conducted in the Thames Valley region of England, where access to Sleepio was made freely available to all residents between October 2018 and January 2020. We use primary care data for people with relevant characteristics from nine general practices in Buckinghamshire. The study relies on a quasi-experimental design, using an interrupted time series to compare the trend in primary care costs before and after the rollout of Sleepio. Primary care costs include general practice contacts and prescriptions. Segmented regression analysis was used to estimate primary and secondary outcomes.ResultsFor the 10,704 patients included in our sample, the total saving over the 65-week follow-up period was £71,027. This corresponds to £6.64 per person in our sample or around £70.44 per Sleepio user. Secondary analyses suggest that savings may be driven primarily by reductions in prescriptions.ConclusionSleepio rollout reduced primary care costs. National adoption of Sleepio may reduce primary care costs by £20 million in the first year. The expected impact on primary care costs in any particular setting will depend on the uptake of Sleepio.

scholarly journals Improving the Recording of Diagnoses in Primary Care with Team Incentives: A Controlled Longitudinal Follow-Up Study

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Tuomo Lehtovuori ◽  
Timo Kauppila ◽  
Jouko Kallio ◽  
Anna M. Heikkinen ◽  
Marko Raina ◽  
...  
Keyword(s):  
Primary Care ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Follow Up Study ◽  
Primary Care Teams ◽  
Before And After ◽  
Quasi Experimental ◽  
Clinically Significant ◽  
Made In

Introduction. We studied whether primary care teams respond to financial group bonuses by improving the recording of diagnoses, whether this intervention leads to diagnoses reflecting the anticipated distribution of diseases, and how the recording of a significant chronic disease, diabetes, alters after the application of these bonuses. Methods. We performed an observational register-based retrospective quasi-experimental follow-up study with before-and-after setting and two control groups in primary healthcare of a Finnish town. We studied the rate of recorded diagnoses in visits to general practitioners with interrupted time series analysis. The distribution of these diagnoses was also recorded. Results. After group bonuses, the rate of recording diagnoses increased by 17.9% (95% CI: 13.6–22.3) but not in either of the controls (−2.0 to −0.3%). The increase in the rate of recorded diagnoses in the care teams varied between 14.9% (4.7–25.2) and 33.7% (26.6–41.3). The distribution of recorded diagnoses resembled the respective distribution of diagnoses in the former studies of diagnoses made in primary care. The rate of recorded diagnoses of diabetes did not increase just after the intervention. Conclusions. In primary care, the completeness of diagnosis recording can be, to varying degrees, influenced by group bonuses without guarantee that recording of clinically significant chronic diseases is improved.

scholarly journals Impact of Removal of Automatic 7-Day Stop Orders for Inpatient Antimicrobials

2020 ◽  
Vol 41 (S1) ◽  
pp. s264-s265
Author(s):  
Afia Adu-Gyamfi ◽  
Keith Hamilton ◽  
Leigh Cressman ◽  
Ebbing Lautenbach ◽  
Lauren Dutcher
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Treatment Interruptions ◽  
Days Of Therapy ◽  
Quasi Experimental ◽  
The Impact

Background: Automatic discontinuation of antimicrobial orders after a prespecified duration of therapy has been adopted as a strategy for reducing excess days of therapy (DOT) as part of antimicrobial stewardship efforts. Automatic stop orders have been shown to decrease antimicrobial DOT. However, inadvertent treatment interruptions may occur as a result, potentially contributing to adverse patient outcomes. To evaluate the effects of this practice, we examined the impact of the removal of an electronic 7-day ASO program on hospitalized patients. Methods: We performed a quasi-experimental study on inpatients in 3 acute-care academic hospitals. In the preintervention period (automatic stop orders present; January 1, 2016, to February 28, 2017), we had an electronic dashboard to identify and intervene on unintentionally missed doses. In the postintervention period (April 1, 2017, to March 31, 2018), the automatic stop orders were removed. We compared the primary outcome, DOT per 1,000 patient days (PD) per month, for patients in the automatic stop orders present and absent periods. The Wilcoxon rank-sum test was used to compare median monthly DOT/1,000 PD. Interrupted time series analysis (Prais-Winsten model) was used to compared trends in antibiotic DOT/1,000 PD and the immediate impact of the automatic stop order removal. Manual chart review on a subset of 300 patients, equally divided between the 2 periods, was performed to assess for unintentionally missed doses. Results: In the automatic stop order period, a monthly median of 644.5 antibiotic DOT/1,000 PD were administered, compared to 686.2 DOT/1,000 PD in the period without automatic stop orders (P < .001) (Fig. 1). Using interrupted time series analysis, there was a nonsignificant increase by 46.7 DOT/1,000 PD (95% CI, 40.8 to 134.3) in the month immediately following removal of automatic stop orders (P = .28) (Fig. 2). Even though the slope representing monthly change in DOT/1,000 PD increased in the period without automatic stop orders compared to the period with automatic stop orders, it was not statistically significant (P = .41). Manual chart abstraction revealed that in the period with automatic stop orders, 9 of 150 patients had 17 unintentionally missed days of therapy, whereas none (of 150 patients) in the period without automatic stop orders did. Conclusions: Following removal of the automatic stop orders, there was an overall increase in antibiotic use, although the change in monthly trend of antibiotic use was not significantly different. Even with a dashboard to identify missed doses, there was still a risk of unintentionally missed doses in the period with automatic stop orders. Therefore, this risk should be weighed against the modest difference in antibiotic utilization garnered from automatic stop orders.Funding: NoneDisclosures: None

An investigation into the efficacy of a cognitive behavioural therapy group for low self-esteem in a primary care setting

2018 ◽  
Vol 11 ◽  
Author(s):  
Sarah Beattie ◽  
David Beattie
Keyword(s):  
Primary Care ◽  
Cognitive Behavioural Therapy ◽  
Care Setting ◽  
Primary Care Setting ◽  
Therapy Group ◽  
Self Esteem ◽  
Behavioural Therapy ◽  
Cognitive Behavioural ◽  
Mood Group ◽  
Group Programme

AbstractSelf-esteem refers to how an individual appraises themselves and is associated with good mental health. A number of studies have identified the efficacy of cognitive behavioural therapy (CBT) in the treatment of low self-esteem based on the formulation and treatment trajectory developed by Fennell (1999). However, there has been little empirical enquiry into the efficacy of the programme delivered in primary care. The current study investigated the effectiveness of a CBT programme for low self-esteem delivered within primary care. Fifty-four participants attended a 9-week ‘Boost Your Mood’ group programme. Paired sample t-tests were conducted on pre- and post-group scores on measures of depression, anxiety and self-esteem. Results indicated that there were statistically significant improvements in levels of depression, anxiety and self-esteem post-treatment. Findings are consistent with the suggestion that group CBT may be effective at increasing levels of self-esteem and reducing levels of depression and anxiety when delivered in a primary care setting.

scholarly journals Reduced dengue incidence following deployments of Wolbachia-infected Aedes aegypti in Yogyakarta, Indonesia: a quasi-experimental trial using controlled interrupted time series analysis

2020 ◽  
Author(s):  
Citra Indriani ◽  
Warsito Tantowijoyo ◽  
Edwige Rancès ◽  
Bekti Andari ◽  
Equatori Prabowo ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Control Area ◽  
Northern Australia ◽  
Interrupted Time Series Analysis ◽  
Endemic Setting ◽  
Experimental Trial ◽  
Series Analysis ◽  
Quasi Experimental

AbstractBackgroundAe. aegypti mosquitoes stably transfected with the intracellular bacterium Wolbachia pipientis (wMel strain) have been deployed for the biocontrol of dengue and related arboviral diseases in multiple countries. Field releases in northern Australia have previously demonstrated near elimination of local dengue transmission from Wolbachia-treated communities, and pilot studies in Indonesia have demonstrated the feasibility and acceptability of the method. We conducted a quasi-experimental trial to evaluate the impact of scaled Wolbachia releases on dengue incidence in an endemic setting in Indonesia.Methods and findingsIn Yogyakarta City, Indonesia, following an extensive community engagement campaign, wMel Wolbachia-carrying mosquitoes were released every two weeks for 13–15 release rounds over seven months in 2016–17, in a contiguous 5 km2 area (population 65,000). A 3 km2 area (population 34,000) on the opposite side of the city was selected a priori as an untreated control area, on the basis of comparable socio-demographic characteristics and historical dengue incidence. Passive surveillance data on notified hospitalised dengue patients was used to evaluate the epidemiological impact of Wolbachia deployments, using controlled interrupted time series analysis. Rapid and sustained introgression of wMel Wolbachia into local Ae. aegypti populations was achieved. Thirty-four dengue cases were notified from the intervention area and 53 from the control area (incidence 26 vs 79 per 100,000 person-years) during the 24 months after Wolbachia was deployed. This corresponded in the regression model to a 73% reduction in dengue incidence (95% confidence interval 49%,86%) associated with the Wolbachia intervention. Exploratory analysis including an additional 6 months of post-intervention observations showed a small strengthening of this effect (30 vs 115 per 100,000 person-years; 76% reduction in incidence, 95%CI 60%,86%).ConclusionsThese findings demonstrate a significant reduction in dengue incidence following successful introgression of Wolbachia into local Ae. aegypti populations in an endemic setting in Indonesia. These results are consistent with previous field trials in northern Australia, and support the effectiveness of this novel approach for the control of dengue and other Aedes-borne diseases.

Cost-effectiveness and cost-utility evaluation of the individual vs. group transdiagnostic psychological treatment for emotional disorders in Primary Care (PsicAP-Costs) v2

2021 ◽  
Author(s):  
Angel Aguilera-Martin ◽  
Mario Gálvez-Lara ◽  
Fátima Cuadrado ◽  
Eliana Moreno ◽  
Francisco García-Torres ◽  
...  
Keyword(s):  
Primary Care ◽  
Cost Effectiveness ◽  
Emotional Disorders ◽  
Cognitive Behavioural Therapy ◽  
Psychological Treatment ◽  
Behavioural Therapy ◽  
Cost Utility ◽  
Cognitive Behavioural ◽  
Utility Evaluation ◽  
The Individual

The aim of this study is to compare, in cost-effectiveness and cost-utility terms, a brief transdiagnostic cognitive-behavioural therapy in two different modes, individual and group, with the treatment usually administered in primary care (TAU). Participants between 18 and 65 years old and with, according to the pretreatment evaluation, mild to moderate emotional disorders will be randomly allocated to the three clusters. They will be assessed again immediately after treatment and 6 and 12 months later. ClinicalTrials.gov: NCT04847310

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