Impact of Anxiety and Depression on Disease Control and Quality of Life in Asthma Patients

Urrutia, Isabel; Aguirre, Urko; Pascual, Sílvia; Esteban, Cristóbal; Ballaz, Aitor; Arrizubieta, Itziar; Larrea, Iñaki

doi:10.3109/02770903.2011.654022

Cited by 50 publications

(37 citation statements)

References 33 publications

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“…There is evidence that quality of care differs by co-morbidity type [35–37]. The study of Pentakota et al (2012) [35], for example, suggests that discordant co-morbid conditions are associated with diminished diabetes care, whereas quality of diabetes care for diabetes patients with concordant co-morbid conditions is similar compared to diabetes patients without co-morbidity.…”

Section: Discussionmentioning

confidence: 99%

Quality of diabetes care in Dutch care groups: no differences between diabetes patients with and without co-morbidity

Bruin¹,

Oostrom²,

Drewes³

et al. 2013

Int J Integr Care

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Objective: To evaluate the relationship between presence and nature of co-morbidity and quality of care for diabetes patients enrolled in diabetes disease management programmes provided by care groups. Methods:We performed an observational study within eight Dutch diabetes care groups. Data from patient record systems of care groups and patient questionnaires were used to determine quality of care. Quality of care was measured as provision of the recommended diabetes care, patients' achievement of recommended clinical outcomes and patients' perception of coordination and integration of care.Results: 527 diabetes patients without and 1187 diabetes patients with co-morbidity were included. Of the co-morbid patients, 7.8% had concordant co-morbid conditions only, 63.8% had discordant co-morbid diseases only and 28.4% had both types of conditions. Hardly any differences were observed between patients with and without co-morbidity in terms of provided care, achievement of clinical outcomes and perceived coordination and integration of care.Conclusions: Our study implies that care groups are able to provide similar quality of diabetes care for diabetes patients with and without co-morbidity. Considering the expected developments regarding additional disease management programmes in care groups, it is of importance to monitor quality of care, including patient experiences, for all chronic diseases. It will then become clear whether accountable provider-led organisations such as care groups are able to ensure quality of care for the increasing number of patients with multiple chronic conditions.

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Section: Discussionmentioning

confidence: 99%

Quality of diabetes care in Dutch care groups: no differences between diabetes patients with and without co-morbidity

Bruin¹,

Oostrom²,

Drewes³

et al. 2013

Int J Integr Care

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“…Mechanisms to identify patients who need a closer follow-up and evaluation have been identified as an important need for primary healthcare 3 34 35. Future initiatives can include linking administrative databases to decision support systems that can help identify individuals who need closer monitoring and follow-up and allow for targeted services such as visit reminders sent to patients or to their care provider.…”

Section: Discussionmentioning

confidence: 99%

“…Asthma poses a significant burden on healthcare resources and costs,1 and results in reduced individual functioning and quality of life 2 3. Over the past 10 years, there have been tremendous improvements in the scientific understanding of asthma and its treatment, and these findings have been made available to clinicians through the development of clinical practice guidelines.…”

Section: Introductionmentioning

confidence: 99%

Using decision support for population tracking of adherence to recommended asthma guidelines

2014

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ObjectiveDecision support systems linked to administrative databases provide a unique opportunity to monitor adherence to guidelines and target disease management strategies towards patients not receiving guideline-based therapy. The objective of this study was to evaluate the discrepancy between actual asthma treatments prescribed by primary care physicians compared to those recommended by evidence-based guidelines using a decision support tool linked to a provincial health administrative database.DesignThe drug and medical services information of individuals with asthma was identified from the provincial health database and was pushed through an asthma decision support system (ADSS). Recommendations aimed at optimising asthma treatment were generated on two index dates, 15 September 2007 (index date 1) and 15 March 2008 (index date 2).SettingPrimary care settings in a large Canadian metropolitan area.ParticipantsIndividuals with asthma and provincial health insurance primary and secondary outcome measures: well controlled asthma.Results16 803 eligible individuals were identified on index date 1, and 18 103 on index date 2. The distribution of recommendation categories was similar on both index dates. 94% were classified as well controlled and 7% as not well controlled. Among well-controlled individuals, the largest proportion was in the maintain treatment category (63.8%), followed by the maintain/decrease treatment category (28.2%) and the decrease treatment category (2.7%). Almost all individuals who were not well controlled had the recommendation to increase treatment (88%) with a small proportion in the refer category (1%).ConclusionsThe ADSS was able to identify subgroups of patients from an administrative database that could benefit from a medication review and possible change. Decision support systems linked to an administrative database can be used to identify individuals with uncontrolled asthma or prescriptions that deviate from recommended treatment. When connected to the point of care, this can provide an opportunity for physicians to intervene early.

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“…Urrutia et al [39] shows that comorbidities with asthma and anxiety and depression may affect control of disease symptoms. Anxiety and depression is also a factor which affects quality of life of these patients.…”

Section: Discussionmentioning

confidence: 99%

Effects of Depression and Anxiety on Asthma-Related Quality of Life

Lomper

Chudiak

Uchmanowicz

et al. 2016

Advances in Respiratory Medicine

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Introduction: Asthma is the most prevalent chronic disease in adults. It affects their quality of life. Studies confirm that depression and anxiety occurs in asthma patients. Material and methods:The study involved 96 patients with asthma divided into two groups: patients with controlled (n = 33) and uncontrolled asthma (n = 63). The analysis of asthma control was performed on the basis of the ACT (Asthma Control Test) results. The study used SF-36 (Short Form 36) questionnaire and HADS (Hospital and Depression Scale) Scale. Results: An analysis of the correlations between QoL (Quality of Life) and the level of depression revealed a decrease in QoL scores in MCS (Mental Component Score) domain in the group with controlled asthma (71.8 -patients without depression, 53.4 -patients with probable depression, and 51.4 -patients with depression; p = 0.032). A similar analysis of the correlations between QoL and the level of anxiety in this group of patients proved no correlations in PCS (Physical Component Score) and MCS domains. In the group of patients with uncontrolled asthma, anxiety and depression correlated negatively with the QoL in PCS and MCS domains. Anxiety and depression are found in asthma patients, with higher severity observed in patients with uncontrolled asthma. Female gender, the level of asthma control, asthma severity, smoking, as well as diagnoses of anxiety and depression are predictors of a significantly lower QoL in asthma. Conclusions: Anxiety and depression are found in asthma patients, with higher severity observed in patients with uncontrolled asthma. Female gender, the level of asthma control, asthma severity, smoking, as well as diagnoses of anxiety and depression are predictors of a significantly lower quality of life in asthma.

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Impact of Anxiety and Depression on Disease Control and Quality of Life in Asthma Patients

Abstract: Among patients with asthma, anxiety and depression adversely affect asthma control and quality of life, raising the possibility that treating these psychological comorbidities could improve asthma control and quality of life.

Cited by 50 publications

References 33 publications

Quality of diabetes care in Dutch care groups: no differences between diabetes patients with and without co-morbidity

Quality of diabetes care in Dutch care groups: no differences between diabetes patients with and without co-morbidity

Using decision support for population tracking of adherence to recommended asthma guidelines

Effects of Depression and Anxiety on Asthma-Related Quality of Life

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