Depression, anxiety, and stress and adverse pregnancy outcomes in pregnant women with history of recurrent pregnancy loss in Nigeria.

OBJECTIVE: The primary purpose of this study was to examine whether pregnant women with a history of recurrent pregnancy loss (RPL) are more likely to experience moderate-to-severe depression, anxiety, or stress symptoms than pregnant women without a history of RPL. The secondary purpose was to determine whether women with prior RPL experienced more unfavorable pregnancy outcomes if they had depression, anxiety, or stress. METHODS: A prospective case-control study was conducted that included 47 pregnant women with a history of RPL and 94 pregnant women without prior RPL. Participants 20 weeks of gestation or earlier were included. Both groups completed the Depression, Anxiety, and Stress Scale (DASS-21), and were followed up until delivery to determine the pregnancy outcomes. Multivariate logistic regression was used to compare adverse pregnancy outcomes. RESULT: Among the 47 women with prior RPL, 10 had primary RPL (two or more miscarriages without a successful pregnancy) and 37 secondary RPL (two or more miscarriages with a history of successful pregnancy). RPL was significantly associated with moderate-to-severe levels of depression (P < .001), anxiety (P < .001), and stress (P < .001). Among the RPL group, high stress level was significantly associated with repeat miscarriage (adjusted odds ratio (AOR) = 5.28, 95%CI = 1.25-100.0, P = .03) and preterm labor (AOR = 6.07, 95%CI = 1.61-100.0, P = .04). Depression and anxiety were not associated with adverse pregnancy outcomes. CONCLUSION: Pregnant women with a history of RPL had considerably higher rates of moderate-to-severe depression, anxiety, and stress. Repeat miscarriage and preterm labor were considerably higher among pregnant women with RPL who were experiencing high stress levels at baseline.

Assessment of Clinical Information Quality in Digital Health Technologies: International eDelphi Study.

BACKGROUND: Digital health technologies (DHTs), such as electronic health records and prescribing systems, are transforming health care delivery around the world. The quality of information in DHTs is key to the quality and safety of care. We developed a novel clinical information quality (CLIQ) framework to assess the quality of clinical information in DHTs. OBJECTIVE: This study explored clinicians' perspectives on the relevance, definition, and assessment of information quality dimensions in the CLIQ framework. METHODS: We used a systematic and iterative eDelphi approach to engage clinicians who had information governance roles or personal interest in information governance; the clinicians were recruited through purposive and snowball sampling techniques. Data were collected using semistructured online questionnaires until consensus was reached on the information quality dimensions in the CLIQ framework. Responses on the relevance of the dimensions were summarized to inform decisions on retention of the dimensions according to prespecified rules. Thematic analysis of the free-text responses was used to revise definitions and the assessment of dimensions. RESULTS: Thirty-five clinicians from 10 countries participated in the study, which was concluded after the second round. Consensus was reached on all dimensions and categories in the CLIQ framework: informativeness (accuracy, completeness, interpretability, plausibility, provenance, and relevance), availability (accessibility, portability, security, and timeliness), and usability (conformance, consistency, and maintainability). A new dimension, searchability, was introduced in the availability category to account for the ease of finding needed information in the DHTs. Certain dimensions were renamed, and some definitions were rephrased to improve clarity. CONCLUSIONS: The CLIQ framework reached a high expert consensus and clarity of language relating to the information quality dimensions. The framework can be used by health care managers and institutions as a pragmatic tool for identifying and forestalling information quality problems that could compromise patient safety and quality of care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2021-057430.

Correlates of high-dose antipsychotic prescription amongst outpatients with Schizophrenia in a Nigerian Hospital.

Background: Treatment guidelines recommend the use of antipsychotic monotherapy at effective doses for the treatment of schizophrenia, although about a third of the sufferers still receive high-dose antipsychotic treatment. Current evidence suggests that high-dose antipsychotic prescription (HDAP) not only fails to improve outcomes but also increases side effects. Aim: Our study aimed to determine the prevalence of HDAP and its association with illness severity, medication adherence behaviour and side effects amongst outpatients with schizophrenia. Setting: The Federal Neuro-Psychiatric Hospital, Benin-City, Nigeria. Methods: A cross-sectional study of 320 attendees with schizophrenia at the outpatient department was undertaken. We administered a sociodemographic and antipsychotic medication questionnaire, Mini-International Neuropsychiatric Interview, Positive and Negative Syndrome Scale, Liverpool University Neuroleptic Side Effects Rating Scales and Medication Adherence Rating Scales. High-dose antipsychotic prescription was determined by the ratio of prescribed daily dose to defined daily dose greater than 1.5. Results: The prevalence of HDAP was 38.4%. Greater severity of illness, experiencing more side effects and poor medication adherence were significantly associated with HDAP.The major predictors of HDAP were antipsychotic polypharmacy and concurrent anticholinergic use. Conclusion: We conclude that although the use of HDAP amongst patients with schizophrenia remains common, its persistent use should be discouraged.

Aftermath of COVID-19: Forestalling Irreparable Medical Brain Drain in Sub-Saharan Africa.

With the escalation of the novel coronavirus disease (COVID-19) across the globe, shortages in the already scarce medical workforce are imminent. Historically, more developed economies have looked abroad to augment their health systems. This paper aims to offer plausible solutions on how to avert future medical brain drain from sub-Saharan Africa (SSA) in the aftermath of COVID-19. We opine that emigration of medical workers from low-resource settings to more industrialized regions should be viewed by the destination countries as both a moral and an ethical issue. Countries in SSA must generally provide good leadership, diversify their economies, and ensure adequate security. Specifically, there are needs to improve health care workers' remuneration, provide more opportunities for specialization, and reduce waiting time for employment. It is our opinion that such multisectoral and multi-modal approaches will effectively halt and even reverse the on-going brain drain in the region, converting it to brain gain.