Improving rates of metabolic monitoring on an inpatient psychiatric ward

Nurses' practice of metabolic monitoring for patients on antipsychotics in Lesotho

Background

Severe mental illness is associated with higher physical health morbidities and reduced life expectancy, with an estimated 14.3% of global deaths attributed to mental disorders. Antipsychotic medications (APs) used in treatment contribute to physical health issues, including metabolic and cardiovascular effects.

Aim

The aim of this study was to assess nurses' practices regarding metabolic monitoring for patients prescribed antipsychotic medications at Mohlomi Hospital in Lesotho.

Setting

The study was conducted at Mohlomi Hospital, the primary psychiatric facility in Lesotho.

Methods

Using a cross-sectional design, 44 nurses from Mohlomi Hospital participated in the study. A structured questionnaire assessed nurses' metabolic monitoring practices.

Results

Most of the respondents were female (n = 30, 75%), and minority were male (n = 10, 25%). The academic qualifications of respondents were distributed as follows: 40% (16) held a nursing assistant certificate and 22.5% (9) held an advanced nursing diploma, among others. The average age of all respondents was 39.05 (s.d. 8.9), with an average of 8 years of experience in psychiatry (s.d. 7.6). The overall rate of nurses' practices of metabolic monitoring for patients taking antipsychotic medications showed variability, with a mean score of 2.83 (s.d. 0.524). However, only 20% performed ECG tests, 22.5% measured blood pressure, 27.5% tested for glucose abnormalities and 17.5% conducted lipid profile testing.

Conclusion

Results revealed a significant gap in the practice of metabolic monitoring among nurses with various aspects of metabolic monitoring, not being adequately monitored.

Contribution

The study's findings shall inform policy and guidelines for monitoring patients on antipsychotic medications while guiding future research.

Screening and prevalence of cardiometabolic risk factors in patients with severe mental illness: A multicenter cross-sectional cohort study in the Netherlands

BACKGROUND

Due to increased cardiometabolic risks and premature mortality in people with severe mental illness (SMI), monitoring cardiometabolic health is considered essential. We aimed to analyse screening rates and prevalences of cardiometabolic risks in routine mental healthcare and its associations with patient and disease characteristics.

METHODS

We collected screening data in SMI from three mental healthcare institutions in the Netherlands, using most complete data on the five main metabolic syndrome (MetS) criteria (waist circumference, blood pressure, HDL-cholesterol, triglycerides, fasting blood glucose) within a 30-day timeframe in 2019/2020. We determined screened patients' cardiometabolic risks and analysed associations with patient and disease characteristics using multiple logistic regression.

RESULTS

In 5037 patients, screening rates ranged from 28.8% (waist circumference) to 76.4% (fasting blood glucose) within 2019-2020, and 7.6% had a complete measurement of all five MetS criteria. Older patients, men and patients with psychotic disorders had higher odds of being screened. Without regarding medication use, risk prevalences ranged from 29.6% (fasting blood glucose) to 56.8% (blood pressure), and 48.6% had MetS. Gender and age were particularly associated with odds for individual risk factors. Cardiometabolic risk was present regardless of illness severity and did generally not differ substantially between diagnoses, in-/outpatients and institutions.

CONCLUSIONS

Despite increased urgency and guideline development for cardiometabolic health in SMI last decades, screening rates are still low, and the MetS prevalence across screened patients is almost twice that of the general population. More intensive implementation strategies are needed to translate policies into action to improve cardiometabolic health in SMI.

Nurse-Led Physical Health Interventions for People with Mental Illness: A Scoping Review of International Literature

People with mental illness have a higher prevalence of co-occurring physical health conditions and poor health behaviors, leading a mortality gap of up to 16 years, compared with the general population. Nurses working in mental health settings play an important role in addressing factors influencing sub-optimal physical health. Therefore, this scoping review aimed to identify nurse-led physical health interventions and align interventions to eight recognized physical healthcare priority areas (i.e. Equally Well in Victoria Framework). A systematic search strategy was used to identify relevant literature. Data extraction included alignment to the Equally Well priority areas, research design, and indication of co-design (meaningful and collaborative involvement of consumers and significant others) and recovery-oriented practice (focusing on needs and goals of a consumer's recovery journey). All included papers (n = 74) were aligned to at least one of eight Equally Well priority areas. Papers were predominately quantitative (n = 64, 86%), with the remainder mixed methods (n = 9, 9%) or qualitative (n = 4, 5%). Most papers were aligned to improving metabolic health and support to quit smoking. One study focused on nurse-led intervention designed to reduce falls. Recovery-oriented practice was evident in six papers. No paper described evidence of co-design. A research gap was identified for nurse-led intervention to reduce falls and improve dental/oral care. Relative to mental healthcare policy, there is a need for future nurse-led physical health research to be co-designed and include recovery-oriented practice. Evaluation and description of future nurse-led physical interventions should seek to report perspectives of key stakeholders as these remain relatively unknown.

Subsequent Dyslipidemia and Factors Associated with Mortality in Schizophrenia: A Population-Based Study in Taiwan

Background: Persons with schizophrenia are at greater risk of developing subsequent medical conditions. To date, few studies have examined comprehensively the risks, mortality and survival rates in schizophrenia and subsequent dyslipidemia over different time periods. The objective of this study was to evaluate the occurrence of subsequent dyslipidemia after the diagnosis of schizophrenia, and factors associated with mortality and survival rate in patients with schizophrenia. Methods: We used a population-based cohort from Taiwan National Health Insurance Research Database, to investigate in patients whom were first diagnosed with schizophrenia during the period from 1997 through 2009, the risk of subsequent dyslipidemia during follow-up. Cumulative incidences and hazard ratios after adjusting for competing mortality risks were calculated. Results: A total of 20,964 eligible patients were included. Risks (i.e., comorbidity) and protective factors (i.e., statin use) have significant impacts on mortality. The mortality exhibits a U-shaped pattern by age. After 50, the risk of death increases with age. Risk of mortality before 50 increases with a decrease in age. Risks differed by the duration time to subsequent dyslipidemia after schizophrenia. Mean duration was 63.55 months in the survive group, and 43.19 months in the deceased group. The 5-, 10-, and 15-year survival rates for patients with schizophrenia and subsequent dyslipidemia were 97.5, 90, and 79.18%, respectively. Conclusion: Early occurrence of subsequent dyslipidemia is associated with increased overall mortality in patients with schizophrenia.

Minding metabolism: targeted interventions to improve cardio-metabolic monitoring across early and chronic psychosis

Background

Antipsychotics (APs) increase weight, metabolic syndrome, diabetes and cardiovascular disease. Guidelines recommend cardio-metabolic monitoring at initial assessment, at 3 months and then annually in people prescribed APs.

Aim

To determine the rates of cardio-metabolic monitoring in AP treated early and chronic psychosis and to assess the impact of targeted improvement strategies.

Methods

Medical records were reviewed in two cohorts of first-episode psychosis (FEP) patients before and after the implementation of a physical health parameter checklist and electronic laboratory order set. In a separate group of patients with chronic psychotic disorders, adherence to annual monitoring was assessed before and 3 months after an awareness-raising educational intervention.

Results

In FEP, fasting glucose (39% vs 67%, p=0.05), HbA1c (0% vs 24%, p=0.005) and prolactin (18% vs 67%, p=0.001) monitoring improved. There were no significant differences in weight (67% vs 67%, p=1.0), BMI (3% vs 10%, p=0.54), waist circumference (3% vs 0%, p=1.0), fasting lipids (61% vs 76% p=0.22) or ECG monitoring (67% vs 67%, p=1.0). Blood pressure (BP) (88% vs 57%, p=0.04) and heart rate (91% vs 65%, p=0.03) monitoring dis-improved. Diet (0%) and exercise (<15%) assessment was poor. In chronic psychotic disorders, BP monitoring improved (20% vs 41.4%, p=0.05), whereas weight (17.0% vs 34.1%, p=0.12), BMI (9.7% vs 12.1%, p=1.0), fasting glucose (17% vs 24.3%, p=0.58) and fasting lipids remained unchanged (17% vs 24.3%, p=0.58).

Conclusions

Targeted improvement strategies resulted in a significant improvement in a limited number of parameters in early and chronic psychotic disorders. Overall, monitoring remained suboptimal.