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1.
Respir Res ; 25(1): 265, 2024 Jul 04.
Article in English | MEDLINE | ID: mdl-38965601

ABSTRACT

BACKGROUND: Refractory and unexplained chronic cough (RCC and UCC) necessitate frequent referral for specialist evaluations, but data on healthcare resource utilisation and costs are lacking. METHODS: This observational study enrolled adults with RCC or UCC attending a specialist cough clinic and included a control cohort, both from North West England, matched 1:5 for age, gender and smoking history. Primary and secondary care data were obtained for the 5 years prior to and 2 years post initial clinic visit (index). The primary endpoint was the total 5-year healthcare cost to the UK NHS pre-RCC or UCC diagnosis compared to the control cohort. RESULTS: Mean age at index for the 200 RCC or UCC consented patients was 62.2 ± 11.4 years; 71% were female, and 68% had never smoked. Mean duration of symptoms pre-diagnosis was 8.0 ± 9.4 years. Mean cough severity score was 63.7 ± 23.2 mm at index on a Visual Analog Scale, and Leicester Cough Questionnaire total score was 10.9 ± 4.1. GP data were available for 80 patients and mean total cost over the 5 years pre-diagnosis (index date) was 3.0-fold higher (95% CI 2.3, 3.9) than in the control cohort (p < 0.001). Most excess costs were related to visits and procedures carried out in secondary care. RCC- or UCC-associated costs decreased post-diagnosis, but remained higher than those of controls. CONCLUSION: Diagnosis of RCC or UCC requires significant health resource utilisation in the 5 years prior to a specialist clinic diagnosis. Resource utilisation was less after diagnosis, but remained higher than in a matched control cohort.


Subject(s)
Cough , Health Care Costs , Humans , Cough/diagnosis , Cough/economics , Cough/therapy , Cough/epidemiology , Female , Male , Middle Aged , Health Care Costs/statistics & numerical data , Aged , Chronic Disease , Cost of Illness , England/epidemiology , Cohort Studies , Chronic Cough
2.
ESC Heart Fail ; 2024 Apr 16.
Article in English | MEDLINE | ID: mdl-38627992

ABSTRACT

AIMS: This study aimed to examine the diagnostic pathways and outcomes of patients with heart failure (HF), stratified by left ventricular ejection fraction (EF), and to highlight deficiencies in real-world HF diagnosis and management. METHODS AND RESULTS: We conducted a retrospective cohort study in Salford, United Kingdom, utilizing linked primary and secondary care data for HF patients diagnosed between January 2010 and November 2019. We evaluated characteristics, diagnostic patterns, healthcare resource utilization, and outcomes. Patients were categorized according to baseline (the latest measure prior to or within 90 days post-diagnosis) as having HF with reduced EF (HFrEF), mildly reduced EF (HFmrEF), or preserved EF (HFpEF). The data encompassed a 2 year period before diagnosis and up to 5 years post-diagnosis. A total of 3227 patients were diagnosed with HF between January 2010 and November 2019. The mean follow-up time was 2.6 [±1.9 standard deviation (SD)] years. The mean age at diagnosis was 74.8 (±12.7 SD) years, and 1469 (45.5%) were female. HFpEF was the largest cohort (46.6%, npEF = 1505), HFmrEF constituted 16.1% (nmrEF = 520), and HFrEF 18.5% (nrEF = 596) of the population, while 18.8% (nu = 606) of patients remained unassigned due to insufficient evidence to support categorization. At baseline, measurement of natriuretic peptide (NP; brain NP and N-terminal pro-B-type NP) and echocardiographic report data were available for 592 (18.3%) and 2621 (81.2%) patients, respectively. A total of 2099 (65.0%) of the HF cohort had access to a cardiology-led outpatient clinic prior to the HF diagnosis, and 602 (18.7%) attended cardiac rehabilitation post-diagnosis. The 5 year crude survival rate was 37.8% [95% confidence interval (CI) (35.2-40.7%)], 42.3% [95% CI (38.0-47.2%)], and 45.5% [95% CI (41.0-50.4%)] for HFpEF, HFrEF, and HFmrEF, respectively. CONCLUSIONS: Low survival rates were observed across all HF groups, along with suboptimal rates of NP testing and specialist assessments. These findings suggest missed opportunities for timely and accurate HF diagnosis, a pivotal first step in improving outcomes for HF patients. Addressing these gaps in diagnosis and management is urgently needed.

3.
Simul Healthc ; 9(3): 199-202, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24872123

ABSTRACT

INTRODUCTION: Training for obstetrics and gynecology residents in second-trimester dilation and evacuation (D&E) procedures is extremely limited despite the Accreditation Council for Graduate Medical Education mandating all residents to receive abortion training. Simulation-based training improves surgical competence, but no second-trimester uterine models exist. The purposes of this study were to create a realistic, low-cost model and to assess the prototype. METHODS: A uterine model was created with 6 silicone cervixes of varying texture and dilations that are interchangeable. The uterus is neoprene and opens to allow for objects to be placed within it for extraction. At a national meeting, experienced D&E surgeons assessed the prototype by using the model and then completing a questionnaire. RESULTS: Twenty-one expert surgeons completed the questionnaires. Participants rated the prototype as "useful" or "very useful" for teaching extraction skills and for training in general. Subjects agreed this represented a clinical scenario they were likely to encounter and the model allowed for practicing the necessary steps for performing D&Es. The model cost approximately $35 to fabricate. CONCLUSIONS: Expert surgeons believe that this model accurately and realistically replicates a second-trimester uterus and cervix. This prototype may be used in simulation environments to train obstetrics and gynecology residents.


Subject(s)
Gynecology/education , Internship and Residency/methods , Models, Anatomic , Obstetrics/education , Uterus/anatomy & histology , Abortion, Induced/methods , Adult , Aged , Clinical Competence , Dilatation and Curettage/methods , Female , Humans , Male , Middle Aged , Pregnancy , Pregnancy Trimester, Second
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