Assessing whether ad hoc clinician-generated patient questionnaires provide psychometrically valid information

A Systematic Review of Assessment Methods for Seafarers' Mental Health and Well-Being During the COVID-19 Pandemic

Seafarers spend more time at sea than on land, which makes them a hard-to-reach community. Since their mental health and well-being is usually addressed from a land-based perspective, dedicated and validated methods incorporating maritime specificities are lacking. During the COVID-19 pandemic, research into seafarers' mental health and well-being flourished. However, a systematic review of the literature to assess the type and appropriateness of assessment methods pertaining to the mental health and well-being of seafarers has yet to be undertaken. This study reviews 5 databases (ERIC, Scopus, PubMed, Google Scholar and EBSCO) to assess the methods used to examine seafarers' mental health and well-being during the pandemic. Peer-reviewed literature alongside grey literature that applied quantitative or qualitative instruments to measure seafarers' mental health and/or well-being, published in English between March 2020 and February 2023, was eligible for the review. Studies from all geographic regions and regardless of nationality, rank and ship type of the subjects were explored. Database searches produced 272 records. Five additional records were identified via other methods. We identified 27 studies suitable for review, including 24 published in peer-reviewed scientific journals and 3 reports and surveys produced by the industry or welfare organizations. Assessment methods used to measure seafarers' mental health and well-being vary significantly in the literature. The frequent use of ad hoc questionnaires limits the possibility to replicate and compare the studies due to various inconsistencies. Furthermore, several validation and reliability measures needed more solidity when applied to the seafaring population. Such inadequate measuring and a mix of assessment methods impacted the comparison of results and might inflate the risks of underreporting or overstating mental complaints.

Association of Function, Symptoms, and Social Support Reported in Standardized Outpatient Clinic Questionnaires With Subsequent Hospital Discharge Disposition and 30-Day Readmissions

OBJECTIVE

To determine whether patient-reported information, routinely collected in an outpatient setting, is associated with readmission within 30 days of discharge and/or the need for post-acute care after a subsequent hospital admission.

DESIGN

Retrospective cohort study. Six domains of patient-reported information collected in the outpatient setting (psychological distress, respiratory symptoms, musculoskeletal pain, family support, mobility, and activities of daily living [ADLs]) were linked to electronic health record hospitalization data. Mixed effects logistic regression models with random intercepts were used to identify the association between the 6 domains and outcomes.

SETTING

Outpatient clinics and hospitals in a Midwestern health system.

PARTICIPANTS

7671 patients who were hospitalized 11,445 times between May 2004 and May 2014 (N=7671).

INTERVENTION

None.

MAIN OUTCOME MEASURES

30-day hospital readmission and discharge home vs facility.

RESULTS

Domains were significantly associated with 30-day readmission and placement in a facility. Specifically, mobility (odds ratio [OR]=1.30; 95% confidence interval [CI], 1.16, 1.46), ADLs (OR=1.27; 95% CI, 1.13, 1.42), respiratory symptoms (OR=1.26; 95% CI, 1.12, 1.41), and psychological distress (OR=1.20; 95% CI, 1.07, 1.35) had the strongest associations with 30-day readmission. The ADL (OR=2.52; 95% CI, 2.26, 2.81), mobility (OR=2.35; 95% CI, 2.10, 2.63), family support (OR=2.28; 95% CI, 1.98, 2.62), and psychological distress (OR=1.38; 95% CI, 1.25, 1.52) domains had the strongest associations with discharge to an institution.

CONCLUSIONS

Patient-reported function, symptoms, and social support routinely collected in outpatient clinics are associated with future 30-day readmission and discharge to an institutional setting. Whether these data can be leveraged to guide interventions to address patient needs and improve outcomes requires further research.