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Hypokalaemia: Improving the investigation, management and therapeutic monitoring of hypokalaemic medical inpatients at a district general hospital.

ABSTRACT: Hypokalaemia is prevalent in 20% of hospitalised patients. Furthermore, inadequate management of hypokalemia was identified in 24% of these patients. Associated with significant patient morbidity and mortality, the identification, investigation, and treatment of hypokalaemia was identified as an area for improvement in the management of medical inpatients. The project aims to measure the assessment, management, and therapeutic monitoring of medical inpatients with hypokalaemia in a district general hospital. All medical inpatients over a one week period who met the criteria for hypokalaemia (serum potassium <3.5 mmol/L on standard biochemical sample) were included in the audit. Patient's notes were located and evaluated to identify if they had mild, moderate, or severe hypokalaemia. Further data on ECG requests, repeat U&Es, serum magnesium analysis, treatment prescribed, and medication review dates was collated. A re-audit was completed after the introduction of a set of interventions which included a hypokalaemia treatment algorithm. Pre-intervention analysis of all medical inpatients, who met our inclusion criteria for hypokalaemia, identified 32 patients. 25 of these patients met the criteria for mild hypokalaemia (3.1-3.4 mmol/L) and 7 met the criteria for moderate hypokalaemia (2.5-3.0 mmol/L). Only 7/32 (22 %) patients were receiving adequate treatment based on trust guidelines. Post intervention results showed marked improvement in the management of patients with hypokalaemia. A total of 30 patients were identified in this post-intervention group. There were 16/30 patients who qualified as mild hypokalaemia (3.1-3.4 mmol/L) and 14/30 with moderate hypokalaemia (2.5-3.0 mmol/L). 19/30 (63%) patients in the post-intervention group were correctly prescribed appropriate medication doses consistent with the treatment algorithm. Following the initial success of the project, analysis at 3 months showed a positive trend for sustained improvement when compared to the pre-intervention results.

SUBMITTER: Jordan M

PROVIDER: S-EPMC4693097 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Quality of documentation is harder to quantify and incentivise, but it has a significant impact on patient care. Good discharge summaries facilitate continuity between secondary and primary care. The junior doctors' forum led this project to improve the quality of electronic discharge summaries (eDS). Baseline measurement revealed significant room for improvement. We measured the quality of 10 summaries per month (across all inpatient specialties), against 23 indicators from the revised Academy of Medical Royal Colleges (AoMRC) standards (2013) that were prioritised by GPs as a "minimum dataset". Junior doctors felt that the Trust's dual eDS systems were responsible for great variation in quality. This was confirmed by the results of a comparison audit of the systems in April 2014: one system greatly outperformed the other (57% mean compliance with iSoft clinical management (iCM) based system vs. 77% with InfoPath-based system). We recommended that the Trust move to a single eDS system, decommissioning the iCM-based system, and this proposal was approved by several Trust committees. We worked with information services, junior doctors, general practitioners and hospital physicians to develop and implement a generic template to further improve compliance with AoMRC standards. In August 2014, the iCM-based system was withdrawn, the new template went live, and training was delivered, coinciding with the changeover of junior doctors to minimise disruption. Median compliance increased from 66.7% to 77.8%. Quality of discharge summaries had improved across the specialties. There was a reduction in the number of complaints and positive qualitative feedback from general practitioners and junior doctors. Completion of discharge summaries within 24 hours was not affected by this change. There is still more to be done to improve quality; average compliance with the full AoMRC standards (39 indicators) is 59.5%. With the approval of the Trust executive committee further plan, do, study, act (PDSA) cycles are underway, working to improve the remaining specialty-specific templates.

Project description:BACKGROUND: Over recent years increased emphasis has been given to performance monitoring of NHS hospitals, including overall number of hospital readmissions, which however are often sub-optimally adjusted for case-mix. We therefore conducted a study to examine the effect of various patient and disease factors on the risk of emergency medical readmission. METHODS: The study setting was a District General Hospital in Greater Manchester and the study period was 4.5-years. All index emergency medical admission during the study period leading to a live discharge were included in the study (n = 20,209). A multivariable proportional hazards modelling was used, based on Hospital Episodes Statistics data, to examine the influence of various baseline factors on readmission risk. Deprivation status was measured with the Townsend deprivation index score. Hazard ratios (HR) and associated 95% confidence intervals (CI) of unplanned emergency medical admission by sex, age group, admission method, diagnostic group, number of coded co-morbidities, length of stay and patient's deprivation status quartile, were calculated. RESULTS: Significant independent predictors of readmission risk at 12 months were male sex (HR 1.13, CI: 1.07-1.2), age (age >75 (HR 1.57, CI 1.45-1.7), number of coded co-morbidities (HR for >4 coded co-morbidities: 1.49 CI: 1.26-1.76), admission via GP referral (HR 0.93, CI 0.88-0.99) and primary diagnosis of heart failure (HR 1.33, CI: 1.16-1.53) and chronic obstructive pulmonary disease/asthma (HR 1.34, CI: 1.21-1.48). Higher level of deprivation was also significantly and independently associated and with increased emergency medical readmission risk at three (HR for the most deprived quartile 1.21, CI: 1.08-1.35), six (HR 1.21, CI: 1.1-1.33) and twelve months (HR 1.25, CI: 1.16-1.36). CONCLUSIONS: There is a potential for improving health and reducing demand for emergency medical admissions with more effective management of patients with heart failure and chronic obstructive airways disease/asthma. There is also a potential for improving health and reducing demand if reasons for increased readmission risk in more deprived patients are understood. The potential influence of deprivation status on readmission risk should be acknowledged, and NHS performance indicators adjustment for deprivation case-mix would be prudent.

Project description:BackgroundThe burden of non-communicable diseases (NCDs) is high in Malawi. However, resources and training for NCD care remain scarce, especially in rural hospitals. Current care for NCDs in the developing world focuses on the WHO's traditional 4 × 4 set. However, we do not know the full burden of NCDs outside of that scope, like neurological disease, psychiatric illness, sickle cell disease, and trauma. The goal of this study was to understand the burden of NCDs among inpatients in a rural district hospital in Malawi. We broadened our definition of NCDs beyond the traditional 4 × 4 set of NCDs, and included neurological disease, psychiatric illness, sickle cell disease, and trauma.MethodsWe conducted a retrospective chart review of all inpatients who were admitted to the Neno District Hospital between January 2017 and October 2018. We broke patients down by age, date of admission, type, and number of NCD diagnoses, and HIV status, and constructed multivariate regression models for length of stay and in-hospital mortality.ResultsOf 2239 total visits, 27.5% were patients with NCDs. Patients with NCDs were older (37.6 vs 19.7 years, p < 0.001) and made up 40.2% of total hospital time. We also found two distinct populations of NCD patients. The first were patients 40 years and older with primary diagnoses of hypertension, heart failure, cancer, and stroke. The second were patients under 40 years old with primary diagnoses of mental health conditions, burns, epilepsy, and asthma. We also found significant trauma burden, accounting for 40% of all NCD visits. In multivariate analysis, carrying a medical NCD diagnosis was associated with longer length of stay (coefficient 5.2, p < 0.001) and a higher risk of in-hospital mortality (OR 1.9, p = 0.03). Burn patients also had significantly longer length of stay (coefficient 11.6, p < 0.001).ConclusionsThere is a significant burden of NCDs in a rural hospital in Malawi, including those outside of the traditional 4 × 4 set. We also found high rates of NCDs in the younger population (under 40 years of age). Hospitals must be equipped with adequate resources and training to meet this burden of disease.

Project description:BackgroundThe prevalence of substance use disorders is higher among medical inpatients than in the general population, placing inpatient providers in a prime position to detect these patients and intervene.ObjectiveTo assess provider detection rates of substance use disorders among medical inpatients and to identify patient characteristics associated with detection.DesignData drawn from a cluster randomized controlled trial that tested the effectiveness of three distinct implementation strategies for providers to screen patients for substance use disorders and deliver a brief intervention (Clinical Trials.gov : NCT01825057).ParticipantsA total of 1076 patients receiving care from 13 general medical inpatient units in a large teaching hospital participated in this study.Main measuresData sources included patient self-reported questionnaires, a diagnostic interview for substance use disorders, and patient medical records. Provider detection was determined by diagnoses documented in medical records.Key resultsProvider detection rates were highest for nicotine use disorder (72.2%) and lowest for cannabis use disorder (26.4%). Detection of alcohol use disorder was more likely among male compared to female patients (OR (95% CI) = 4.0 (1.9, 4.8)). When compared to White patients, alcohol (OR (95% CI) = 0.4 (0.2, 0.6)) and opioid (OR (95% CI) = 0.2 (0.1, 0.7)) use disorders were less likely to be detected among Black patients, while alcohol (OR (95% CI) = 0.3 (0.0, 2.0)) and cocaine (OR (95% CI) = 0.3 (0.1, 0.9)) use disorders were less likely to be detected among Hispanic patients. Providers were more likely to detect nicotine, alcohol, opioid, and other drug use disorders among patients with higher addiction severity (OR (95% CI) = 1.20 (1.08-1.34), 1.62 (1.48, 1.78), 1.46 (1.07, 1.98), 1.38 (1.00, 1.90), respectively).ConclusionsFindings indicate patient characteristics, including gender, race, and addiction severity impact rates of provider detection. Instituting formal screening for all substances may increase provider detection and inform treatment decisions.

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Hypokalaemia: Improving the investigation, management and therapeutic monitoring of hypokalaemic medical inpatients at a district general hospital.

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