Chronic physical comorbidity burden and the quality of depression treatment in primary care: a systematic review

Profiles of physician follow-up care, correlates and outcomes among patients affected by an incident mental disorder

OBJECTIVES

This study identified profiles of outpatient physician follow-up care and other practice features, mostly after detection of incident mental disorders (MD), and associated these profiles with patient characteristics and subsequent adverse outcomes.

METHODS

A cohort of 170,957 patients age 12 + with a new or recurrent MD detected in 2019-20 was investigated based on data from the Quebec Integrated Chronic Disease Surveillance System. Latent class analysis was performed to identify follow-up care profiles, mostly within one year of MD detection. Bivariate analyses tested associations between profiles and patient characteristics; logistic regressions examined relationships between profiles and adverse outcomes after one year.

RESULTS

Five profiles were identified: Profiles 2 and 5 (64%) offered low mental health (MH) outpatient follow-up care, while the others dispensed higher MH follow-up care. Profiles differed in patient characteristics and related outcomes. Labelled "Follow-up care by usual psychiatrist", Profile 1 (1% of sample) included younger patients with the most health and social issues. Profile 2 (50%), "Low MH follow-up care but high prior consultations for physical reasons", mostly integrated older patients with chronic physical illnesses. Profile 3 (11%), "Follow-up care by general practitioners (GP) and psychiatrists", referred to physicians other than the usual ones (e.g., walk-in practice) and encompassed patients with severe MD conditions. Profile 4 (23%), "High follow-up care by usual GP and prior consultations for physical reasons", showed the typical characteristics of patients treated in primary care (more common MD, women, less materially and socially deprived). Profile 5 (15%), "Low MH follow-up care and prior consultations for physical reasons", integrated more younger men, materially deprived patients, and with substance-related disorders (SRD) or co-occurring MD-SRD. More Profile 1 and 3 patients lived in university regions - those of Profile 4 were the least numerous in such regions. More Profile 5 patients lived in metropolitan and rural areas. Risk of death was higher in Profiles 5, 2, 3, and risk of frequent ED use and hospitalization higher in Profiles 1, 3, and 5 - patients with severe health and social issues.

CONCLUSION

The study confirmed the need to improve prompt, adequate and continuous follow-up care for patients with incident MD.

The Relationship of Chronic Disease Burden and Racial-Ethnic Disparities in Depression Treatment

BACKGROUND

Chronic disease and depression are closely related, and depression, if left untreated, can worsen physical disease symptoms. Furthermore, treating depression can improve patient outcomes. Generally, treatment for depression is lower in minority groups.

OBJECTIVE

The aim of this study was to determine the relationship between chronic disease burden and depression treatment and whether that relationship differs between white to non-white patient visits to primary care physicians.

DESIGN

We conducted a quantitative secondary data analysis using data from 2014-2019 National Ambulatory Medical Care Survey (NAMCS).

PARTICIPANTS

Visits by adults with depression to primary care physicians (n = 3832).

MAIN MEASURES

Logistic regressions estimated the odds of medication treatment, mental health counseling treatment, and any treatment.

KEY RESULTS

Visits by patients with 3 or more chronic conditions had 1.39 times the odds of receiving medication treatment (p-value = 0.06). However, when examining treatment by race, visits by white patients with 1-2 chronic conditions had 3.04 times the odds of receiving mental health treatment (p-value = 0.09) compared to visits by non-white patients and 2.09 times the odds of receiving any treatment (p-value = 0.08) compared to visits by non-white patients.

CONCLUSIONS

Although not significant at the p < .05 level, the results suggest that the odds of depression treatment is greater during visits by patients with multiple co-occurring chronic conditions compared to visits by people without chronic conditions. It appears that this effect is larger for visits by white patients compared to visits by non-white patients. Further research is needed to confirm these findings and determine how this association impacts minorities distinctly and what could be the reason behind the disparity. These findings could help physicians be aware of ongoing disparities in depression treatment and provide more equitable depression treatment.

Higher stress and symptom severity are associated with worse depressive symptom profiles in patients receiving chemotherapy

PURPOSE

In a sample of oncology patients, identify subgroups of patients with distinct depressive symptom profiles and evaluate for differences in demographic and clinical characteristics, levels of stress and resilience, and the severity of common co-occurring symptoms.

METHODS

Patients (n = 1327) had a diagnosis of breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding four weeks; and were scheduled to receive at least two additional cycles of chemotherapy. Demographic and clinical characteristics, stress, resilience, and co-occurring symptoms were evaluated at enrollment. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression (CES-D) scale a total of six times over two cycles of chemotherapy. Latent profile analysis (LPA) was used to identify subgroups of patients (i.e., latent classes) with distinct depressive symptom profiles using the six CES-D scores.

RESULTS

Based on the findings from the LPA, 47.3% of the patients were classified as "None"; 33.6% as "Subsyndromal"; 13.8% as "Moderate"; and 5.3% as "High". Compared to None class, patients in the Subsyndromal, Moderate, and High classes had a lower functional status, a higher comorbidity burden, and a self-reported diagnosis of depression or back pain. Those patients with higher levels of depressive symptoms reported higher levels of stress, lower levels of resilience, and increased severity of co-occurring symptoms.

CONCLUSIONS

Inter-individual variability in depressive symptoms was associated with demographic and clinical characteristics, multiple types of stress and levels of resilience, as well as with the increased severity of multiple co-occurring symptoms. The risk factors associated with worse depressive symptom profiles can assist clinicians to identify high risk patients and initiate more timely supportive care interventions.

Associations of depression status with plasma levels of candidate lipid and amino acid metabolites: a meta-analysis of individual data from three independent samples of US postmenopausal women

Recent animal and small clinical studies have suggested depression is related to altered lipid and amino acid profiles. However, this has not been examined in a population-based sample, particularly in women. We identified multiple metabolites associated with depression as potential candidates from prior studies. Cross-sectional data from three independent samples of postmenopausal women were analyzed, including women from the Women's Health Initiative-Observational Study (WHI-OS, n = 926), the WHI-Hormone Trials (WHI-HT; n = 1,325), and the Nurses' Health Study II Mind-Body Study (NHSII-MBS; n = 218). Positive depression status was defined as having any of the following: elevated depressive symptoms, antidepressant use, or depression history. Plasma metabolites were measured using liquid chromatography-tandem mass spectrometry (21 phosphatidylcholines (PCs), 7 lysophosphatidylethanolamines, 5 ceramides, 3 branched chain amino acids, and 9 neurotransmitters). Associations between depression status and metabolites were evaluated using multivariable linear regression; results were pooled by random-effects meta-analysis with multiple testing adjustment using the false discovery rate (FDR). Prevalence rates of positive depression status were 24.4% (WHI-OS), 25.7% (WHI-HT), and 44.7% (NHSII-MBS). After multivariable adjustment, positive depression status was associated with higher levels of glutamate and PC 36 : 1/38 : 3, and lower levels of tryptophan and GABA-to-glutamate and GABA-to-glutamine ratio (FDR-p < 0.05). Positive associations with LPE 18 : 0/18 : 1 and inverse associations with valine and serotonin were also observed, although these associations did not survive FDR adjustment. Associations of positive depression status with several candidate metabolites including PC 36 : 1/38 : 3 and amino acids involved in neurotransmission suggest potential depression-related metabolic alterations in postmenopausal women, with possible implications for later chronic disease.

Primary health care quality indicators: An umbrella review

Nowadays, evaluating the quality of health services, especially in primary health care (PHC), is increasingly important. In a historical perspective, the Department of Health (United Kingdom) developed and proposed a range of indicators in 1998, and lately several health, social and political organizations have defined and implemented different sets of PHC quality indicators. Some systematic reviews in PHC quality indicators are reported but only in specific contexts and conditions. The aim of this study is to characterize and provide a list of indicators discussed in the literature to support managers and clinicians in decision-making processes, through an umbrella review on PHC quality indicators. The methodology was performed according to PRISMA Statement. Indicators from 33 eligible systematic reviews were categorized according to the dimensions of care, function, type of care, domains and condition contexts. Of a total of 727 indicators or groups of indicators, 74.5% (n = 542) were classified in process category and 89.5% (n = 537) with chronic type of care (n = 428; 58.8%) and effective domain (n = 423; 58.1%) with the most frequent values in categorizations by dimensions. The results of this overview of reviews are valuable and imply the need for future research and practice regarding primary health care quality indicators in the most varied conditions and contexts to generate new discussions about their use, comparison and implementation.

Monitoring for antidepressant-associated adverse events in the treatment of patients with major depressive disorder: An international consensus statement

OBJECTIVES

These recommendations were designed to ensure safety for patients with major depressive disorder (MDD) and to aid monitoring and management of adverse effects during treatment with approved antidepressant medications. The recommendations aim to inform prescribers about both the risks associated with these treatments and approaches for mitigating such risks.

METHODS

Expert contributors were sought internationally by contacting representatives of key stakeholder professional societies in the treatment of MDD (ASBDD, CANMAT, WFSBP and ISAD). The manuscript was drafted through iterative editing to ensure consensus.

RESULTS

Adequate risk assessment prior to commencing pharmacotherapy, and safety monitoring during pharmacotherapy are essential to mitigate adverse events, optimise the benefits of treatment, and detect and assess adverse events when they occur. Risk factors for pharmacotherapy vary with individual patient characteristics and medication regimens. Risk factors for each patient need to be carefully assessed prior to initiating pharmacotherapy, and appropriate individualised treatment choices need to be selected. Some antidepressants are associated with specific safety concerns which were addressed.

CONCLUSIONS

Risks of adverse outcomes with antidepressant treatment can be managed through appropriate assessment and monitoring to improve the risk benefit ratio and improve clinical outcomes.

Quality indicators in the treatment of patients with depression, bipolar disorder or schizophrenia. Consensus study

OBJECTIVE

To define a set of indicators for mental health care, monitoring quality assurance in schizophrenia, depression and bipolar disorders in Spain.

MATERIAL AND METHOD

Qualitative research. Consensus-based study involving 6 psychiatrists on the steering committee and a panel of 43 psychiatrists working in several health services in Spain. An initial proposal of 44 indicators for depression, 42 for schizophrenia and 58 for bipolar disorder was elaborated after reviewing the literature. This proposal was analysed by experts using the Delphi technique. The valuation of these indicators in successive rounds allowed those with less degree of consensus to be discarded. Feasibility, sensitivity and clinical relevance were considered. The study was carried out between July 2015 and March 2016.

RESULTS

Seventy indicators were defined by consensus: 17 for major depression, 16 for schizophrenia, 17 for bipolar disorder and 20 common to all three pathologies. These indicators included measures related to adequacy, patient safety, exacerbation, mechanical restraint, suicidal behaviour, psychoeducation, adherence, mortality and physical health.

CONCLUSIONS

This set of indicators allows quality monitoring in the treatment of patients with schizophrenia, depression or bipolar disorder. Mental health care authorities and professionals can use this proposal for developing a balanced scorecard adjusted to their priorities and welfare objectives.

German general practitioners' self-reported management of patients with chronic depression

BACKGROUND

Patients with chronic depression (persisting symptoms for ≥2 years) are a clinically relevant group with extensive (co)morbidity, high functional impairment and associated costs in primary care. The General Practitioner (GP) is the main health professional attending to these patients. The aim of this study was to examine the GPs' perception on managing patients with chronic depression.

METHODS

We performed an explorative cross-sectional study with a systematic sample of GPs in central Germany. Source of data was a written questionnaire (46 items). Descriptive analysis was carried out.

RESULTS

Two hundred twenty (out of 1000; 22%) GPs participated. 93% of the GPs distinguish between care for patients with chronic depression and acute depressive episode. 92% would recommend psychotherapeutic co-treatment to the chronically depressed patient. 52% of GPs would favour a general restraint on antidepressants (ADs) in older chronically depressed patients (≥ 75 years) whereas 40% suggest long-term pharmacotherapy. If severe physical comorbidity is present GPs would be restrictive in prescribing ADs (65%) or would urgently refer to specialist psychiatric services (40%). In case of a comorbid anxiety disorder 66% of the GPs would suggest a combined psycho- und pharmacotherapy. If a substance use disorder coexists 84% would prefer urgent referrals to specialist services.

CONCLUSIONS

Participating GPs report awareness towards chronic depression in their patients. Physical and mental comorbidity seem to play an important role in GPs' treatment decisions.

A qualitative study of perceived needs and factors associated with the quality of care for common mental disorders in patients with chronic diseases: the perspective of primary care clinicians and patients

BACKGROUND

The prevalence of comorbid anxiety and depressive disorders is high among patients with chronic diseases in primary care, and is associated with increased morbidity and mortality rates. The detection and treatment of common mental disorders in patients with chronic diseases can be challenging in the primary care setting. This study aims to explore the perceived needs, barriers and facilitators for the delivery of mental health care for patients with coexisting common mental disorders and chronic diseases in primary care from the clinician and patient perspectives.

METHODS

In this qualitative descriptive study, we conducted semi-structured interviews with clinicians (family physician, nurse, psychologist, social worker; n = 18) and patients (n = 10) from three primary care clinics in Quebec, Canada. The themes explored included clinician factors (e.g., attitudes, perception of roles, collaboration, management of clinical priorities) and patient factors (e.g., needs, preferences, access to care, communication with health professionals) associated with the delivery of care. Qualitative data analysis was conducted based on an interactive cyclical process of data reduction, data display and conclusion drawing and verification.

RESULTS

Clinician interviews highlighted a number of needs, barriers and enablers in the provision of patient services, which related to inter-professional collaboration, access to psychotherapy, polypharmacy as well as communication and coordination of services within the primary care clinic and the local network. Two specific facilitators associated with optimal mental health care were the broadening of nurses' functions in mental health care and the active integration of consulting psychiatrists. Patients corroborated the issues raised by the clinicians, particularly in the domains of whole-person care, service accessibility and care management.

CONCLUSIONS

The results of this project will contribute to the development of quality improvement interventions to increase the uptake of organizational and clinical evidence-based practices for patients with chronic diseases and concurrent common mental disorders, in priority areas including collaborative care, access to psychotherapy and linkages with specialized mental health care.

Performance of depression rating scales in patients with chronic kidney disease: an item response theory-based analysis

OBJECTIVE

Because there is overlap between somatic symptoms of depression and symptoms of chronic kidney disease (CKD), it is unclear if self-reported depression rating scales can be used accurately in predialysis CKD patients, especially if CKD and other comorbidities are symptomatic. We assessed the performance of two depression scales - the Beck Depression Inventory (BDI) and the Quick Inventory of Depression Symptomatology (QIDS-SR16) - by CKD stage, diagnosis of diabetes and total medical comorbidity burden - using item response theory (IRT) in a sample of 272 predialysis CKD patients.

METHODS

We performed IRT by low versus high CKD stage, diabetes versus no diabetes and high (>3 diagnoses) versus low medical comorbidity burden.

RESULTS

IRT models of each rating scale were affected in a limited way by CKD stage, diabetes and medical comorbidity burden. Sleep disturbances on the QIDS-SR16 were more discriminatory for depression in diabetics and those with high comorbidity burden. Pessimism and guilt from the BDI compared to QIDS-SR16 were more discriminatory of depression in the high CKD and high comorbidity groups, respectively.

CONCLUSIONS

Overall item differences were modest, and chronic disease severity by CKD stage, diabetes mellitus or other medical comorbidities did not appreciably contribute to differences in scale performance.