Hospital Readmission Due to Chronic Obstructive Pulmonary Disease: A Longitudinal Study.

BACKGROUND: This study aimed to investigate the prevalence of hospital readmission for chronic obstructive pulmonary disease (COPD) at 30, 90 and 365 days, and to determine demographic and socioeconomic risk factors for 30-day and 90-day readmission and time to COPD-related readmission within 365 days in Tasmania. METHODS: Patients ≥40 years admitted for COPD between 2011 and 2015 were identified using administrative data from all major public hospitals in Tasmania, Australia. Factors associated with readmission and time to readmission were identified using logistic and Cox regression, respectively. RESULTS: The rates of COPD-related readmission were 6.7% within 30 days, 12.2% within 90 days and 23.7% within 365 days. Being male (odds ratio [OR]: 1.49, CI: 1.06-2.09), Indigenous (OR: 2.47, CI: 1.31-4.66) and living in the lower socioeconomic North-West region of Tasmania (OR: 1.80, CI: 1.20-2.69) were risk factors for 30-day readmission. Increased COPD-related (OR: 1.48, CI: 1.22-1.80; OR: 1.52, CI: 1.29-1.78) and non-COPD-related (OR: 1.12, CI: 1.03- 1.23; OR: 1.11, CI: 1.03-1.21) emergency department (ED) visits in the preceding six months were risk factors for both 30-day and 90-day readmissions. Being Indigenous (hazard ratio [HR]: 1.61, CI: 1.10-2.37) and previous COPD-related ED visits (HR: 1.30, CI: 1.21-1.39) decreased, while a higher Charlson Comorbidity Index (CCI) (OR: 0.91, CI: 0.83- 0.99) increased the time to readmission within 365 days. CONCLUSION: Being male, Indigenous, living in the North-West region and previous ED visits were associated with increased risk of COPD readmission in Tasmania. Interventions to improve access to primary healthcare for these groups may reduce COPD-related readmissions.

Implementation of mouth rinsing after use of inhaled corticosteroids in Australia.

BACKGROUND: Clinical guidelines recommend that patients using inhaled corticosteroids should rinse their mouth following inhalation. There is however, a paucity of research regarding patient implementation of this recommendation and the impact it has on the occurrence of adverse effects. OBJECTIVE: The aim of this study was to determine how well patients implement mouth rinsing after using inhaled corticosteroids in practice and their understanding of the rationale, information sources and the impact of mouth rinsing on adverse effects. SETTING: Australians aged 18 years and over with a diagnosis of asthma and/or chronic obstructive pulmonary disease who were currently using an inhaled corticosteroid. METHOD: Participants were recruited via Facebook to complete an online survey. MAIN OUTCOME MEASURE: Implementation of a mouth rinse which aligned to current guideline recommendations. RESULTS: Of 380 eligible responses, 30.5% of patients reported suboptimal mouth rinsing after using inhaled corticosteroids. Receiving advice on mouth rinsing from a healthcare professional increased the likelihood of correct implementation (P < 0.001) and improved patient understanding of the rationale (P = 0.01). Whilst most (90.0%) patients were aware rinsing may reduce oropharyngeal adverse effects, few (5.5%) were aware of its potential to reduce systemic adverse effects. Patients were more likely to report their rinsing procedure had a positive impact if they had experienced oral candidiasis (P < 0.001) or sore mouth/throat (P = 0.01), compared to cough or hoarse voice. CONCLUSION: Almost one-third of patients reported a suboptimal mouth rinsing procedure after using an inhaled corticosteroid. Interventions are required to improve awareness and correct implementation of mouth rinsing.

The effect of knowledge and expectations on adherence to and persistence with antidepressants.

PURPOSE: Adherence to and persistence with antidepressants are often suboptimal. However, little is known about how patient knowledge and outcome expectations may influence antidepressant adherence and persistence. METHOD: Individuals who had been prescribed their first antidepressant to treat depression in the preceding 6 months were recruited to an online survey via Facebook. Knowledge, education received, and initial outcome expectations were analyzed for associations with persistence and adherence. RESULTS: Two hundred and twenty surveys were analyzed. A total of 117 participants had taken their antidepressant for at least 3 months; another 25 had never started or stopped after <3 months without consulting their doctor. Differences in expectations and various educational messages among persistent and nonpersistent participants were identified. Having received the instruction "don't stop it without checking with your doctor" was a significant independent predictor of persistence (odds ratio [OR] =5.9, 95% confidence interval [CI] =1.4-24.5). At the time of the survey, 82.7% of participants were taking an antidepressant and 77.9% were adherent. Significant independent predictors of adherence were a greater age (OR =1.1, 95% CI =1.0-1.2), knowledge (OR =1.6, 95% CI =1.1-2.3), being informed of common side effects (OR =5.5, 95% CI =1.1-29.0), and having discussed ways to solve problems (OR =3.9, 95% CI =1.1-14.5). CONCLUSION: Improving outcome expectations and particular educational messages may increase adherence and persistence. Greater knowledge may enhance adherence. Further investigation is warranted to determine whether a focus on these simple educational messages will improve outcomes in patients who commence an antidepressant.