scholarly journals Correlation between Depression and Anxiety in Patients with Chronic Non-Malignant Pain

2021 ◽  
Vol 5 (1) ◽  
pp. 83-94
Author(s):  
Irena Kovačević ◽  
Sanja Ledinski Fičko ◽  
Boris Ilić ◽  
Adriano Friganović ◽  
Štefanija Ozimec Vulinec ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Chronic Pain ◽  
Primary Health Care ◽  
Cultural Differences ◽  
Ethnic Groups ◽  
Depression And Anxiety ◽  
Primary Health ◽  
Primary Care Patients ◽  
Detection Of Depression

Introduction. Two-thirds of primary care patients with depression also have somatic symptoms present, making detection of depression more difficult. Primary health care is the first level of screening for depression, and early detection is key to treatment success. Anxiety also has a high comorbidity rate with chronic pain conditions. Generalized anxiety disorder (GAD) is common among patients with “medically unexplained” chronic pain and chronic physical illness and is also a predictor of chronic musculoskeletal pain after trauma. Belonging to different ethnic groups and ignorance of these differences by primary care physicians can be an obstacle to good health care, especially early recognition of depressive symptoms. Aim. The aim of this proposed, systematic work was to draw conclusions from empirical research dealing with the processes involved in the examination of depression, anxiety, and chronic non malignant pain. The research question for this review paper was to examine the correlation of depression and anxiety with chronic non-malignant pain. The aim was to examine the role of primary health care in recognizing, preventing, and treating depression and anxiety in patients with chronic non-malignant pain, and whether there is a difference in the correlation between depression, anxiety, and chronic non-malignant pain according to ethnicity. Methods. Methods for identifying the study were derived from the Medline database (via PubMed). The analysis included all scientific papers in English, regardless of methodology, published since 2011. The papers dealt with the correlation between depression, anxiety, and chronic non-malignant pain, and included the population of primary care patients over 18 years of age who suffer from chronic nonmalignant pain and at the same time have symptoms of depression and anxiety present or are members of ethnic groups. 403 articles were found, original and review papers, of which, after a detailed reading, 10 were selected that meet the inclusion criteria for the purposes of this review. Results. Depression and anxiety are significantly more present in people with chronic pain (23%), compared to those who do not have chronic pain (12%). The most common is chronic musculoskeletal pain, with one-third of patients having depression. Depression and anxiety are significantly associated with the intensity and duration of pain. Chronic pain and depression also differ according to ethnic groups, with cultural differences and language barriers being a barrier to early detection of depression. Conclusion. Depression is the most common mental health disorder associated with chronic pain. It is extremely important to treat both depression and pain, in order to prevent the development of severe depression and chronic pain at an early stage. The integrated program at the level of primary health care is expected to have positive effects on both the physical and mental condition of patients. Cultural differences and ethnicity, which can significantly reduce the detection of depressive symptoms at the primary health care level, should certainly be taken into account.

scholarly journals Medical Audit of the Quality of Diabetes Care

2011 ◽  
Vol 3 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Abdulbari Bener ◽  
Mariam Abdulmalik ◽  
Mohammed Al-Kazaz ◽  
Abdul-Ghani Mohammed ◽  
Rahima Sanya ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Diabetes Care ◽  
Diabetic Patients ◽  
Primary Health ◽  
Primary Care Patients ◽  
Primary Health Care Centers ◽  
Health Care Centers

Objective: To assess the quality of diabetes care provided to patients attending primary care settings and hospitals in the State of Qatar. Design: Observational cohort study. Setting: The survey was carried out in primary health care centers and hospitals. Subjects and Methods: The study was conducted from January 2010 to August 2010 among diabetic patients attending primary health care centers and hospitals. Among the patients participating, 575 were from hospitals and 1103 from primary health care centers. Face-to-face interviews were conducted using a structured questionnaire including sociodemographic, clinical, and satisfaction score of the patients. Results: The mean age of the primary care diabetic patients was 46.1 ± 15.1 years and 44.5 ± 14.8 years for hospital patients ( P = .03). There was a significant difference observed in terms of age group, gender, marital status, occupation, and consanguinity of the diabetic patients in both medical settings ( P < .001). Overweight was less prevalent in primary care patients than in hospital diabetes mellitus patients (40.4% vs 46.4%). A significant variation was observed in the mean values of blood glucose (−0.76), HbA1C (−0.78), LDL (−0.01), albumin (−0.37), bilirubin (−0.76), and triglyceride (−0.01) in primary care patients compared to the mean values of the preceding year. Overall, complications were lower in primary care diabetic patients, and patients attending primary care were more satisfied with the diabetes care. Conclusion: The present study revealed that in general, primary health care provided a better quality of care to diabetic patients compared to that of hospitals. Also, primary care patients had a better satisfaction score towards diabetes care.

Identification of somatic and anxiety symptoms which contribute to the detection of depression in primary health care

2004 ◽  
Vol 19 (5) ◽  
pp. 250-257 ◽  
Author(s):  
Katrin Barkow ◽  
Reinhard Heun ◽  
T. Bedirhan Üstün ◽  
Mathias Berger ◽  
Isaac Bermejo ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
General Health ◽  
Depressive Disorders ◽  
Somatic Symptoms ◽  
Anxiety Symptoms ◽  
Primary Health ◽  
The World ◽  
Detection Of Depression

AbstractSomatic symptoms and anxiety symptoms are often disregarded in the detection of depression in primary care. The present investigation examined to what extent somatic and anxiety symptoms recorded with the Composite International Diagnostic Interview—Primary Health Care Version (CIDI—PHC) can improve the detection of depression as compared to the General Health Questionnaire—12-item version alone. Data from the World Health Organization study on Psychological Problems in General Health Care were used. The study sample consisted of primary care attenders from 15 centres from all over the world who underwent a psychiatric examination with the CIDI—PHC. Medically unexplained somatic symptoms (back pain, feelings of heaviness/lightness in parts of the body, periods of bodily weakness, seizures/convulsions, permanent tiredness, exhaustion after a minimum of effort) and—to a smaller extent—diverse anxiety symptoms (e.g. feelings of anxiousness/nervousness, feelings of tension, difficulties relaxing) significantly contributed to the detection of depression in a logistic regression analysis. The results confirm the observation that in primary care somatic symptoms play an important role in the manifestation of depressive disorders. The items investigated herein could prove beneficial for future depression screening instruments to improve the detection of depressive disorders in primary care.

scholarly journals The effect of mindfulness group therapy on a broad range of psychiatric symptoms: A randomised controlled trial in primary health care

2017 ◽  
Vol 43 ◽  
pp. 19-27 ◽  
Author(s):  
J. Sundquist ◽  
K. Palmér ◽  
L.M. Johansson ◽  
K. Sundquist
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Psychiatric Symptoms ◽  
Controlled Trial ◽  
Adjustment Disorders ◽  
Mindful Attention ◽  
Primary Health ◽  
Primary Care Patients ◽  
Randomised Controlled

AbstractBackground:The need for psychotherapy in primary health care is on the increase but individual-based treatment is costly. The main aim of this randomised controlled trial (RCT) was to compare the effect of mindfulness-based group therapy (MGT) with treatment as usual (TAU), mainly individual-based cognitive behavioural therapy (CBT), on a broad range of psychiatric symptoms in primary care patients diagnosed with depressive, anxiety and/or stress and adjustment disorders. An additional aim was to compare the effect of MGT with TAU on mindful attention awareness.Methods:This 8-week RCT took place in 2012 at 16 primary care centres in southern Sweden. The study population included both men and women, aged 20–64 years (n = 215). A broad range of psychiatric symptoms were evaluated at baseline and at the 8-week follow-up using the Symptom Checklist-90 (SCL-90). Mindful attention awareness was also evaluated using the Mindful Attention Awareness Scale (MAAS).Results:In both groups, the scores decreased significantly for all subscales and indexes in SCL-90, while the MAAS scores increased significantly. There were no significant differences in the change in psychiatric symptoms between the two groups. The mindfulness group had a somewhat larger change in scores than the control group on the MAAS (P = 0.06, non-significant).Conclusions:No significant differences between MGT and TAU, mainly individual-based CBT, were found in treatment effect. Both types of therapies could be used in primary care patients with depressive, anxiety and/or stress and adjustment disorders, where MGT has a potential to save limited resources.Trial registration:ClinicalTrials.gov identifier: NCT01476371.

Brazilian National Household Health Survey and PCAT: the case of Mato Grosso do Sul, Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L F Pinto ◽  
D Soranz ◽  
L J Santos ◽  
M S Paranhos ◽  
L S Malta ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Data Collection ◽  
Health Survey ◽  
Household Surveys ◽  
Mato Grosso ◽  
Primary Health ◽  
The World ◽  
Mato Grosso Do Sul

Abstract Brazil is divided into five administrative regions, 27 federation units and 5,570 municipalities. Mato Grosso do Sul is one of the states located in the Midwest region and has 1.6 million km2 and a resident population of 2.8 million inhabitants, that is, it has an even lower demographic density than its region - only 7.8 inhabitants/km2. Mato Grosso do Sul has part of the Pantanal, a biome considered the largest continuous floodplain in the world, rich in biodiversity. For this reason, displacements for data collection in household surveys combine roads and rivers. In 2019, the Brazilian National Institute of Geography and Statistics (Istituto Nazionale di Statistica del Brasile) in partnership with the Ministry of Health launched the world's largest household sample survey, the National Health Survey (PNS-2019), in which part of its questions included the use of Primary Care Assessment Tool (PCAT, adult version), created by professors Barbara Starfield and Leiyu Shi in the 2000s. IBGE interviewers visited more than 100,000 households across the country. In Mato Grosso do Sul, more than 3,000 households were surveyed. In this work, we present the data collection instrument used by IBGE and its multiple analysis possibilities in the scope of primary health care, crossing the variables from other questionnaire modules in order to compare the results from Brazil with the state of Mato Grosso do Sul and its capital, Campo Grande. Developing a baseline and measuring the attributes of primary health care in each of the Brazilian states is another step towards giving health policy accountability, towards strong primary care. IBGE's experience in household surveys and innovation in data collection in primary care is an example for the world that yes, it is possible to develop statistically representative national sample surveys and make them perennial in their regular household surveys, by the time World Health Organization (WHO) discusses universal health coverage. Key messages Evaluation of primary care using an internationally validated instrument is possible on national bases with random household sample surveys. A questionnaire elaborated academically can be used as an instrument of public policy to evaluate nationwide health services.

scholarly journals Primary care organizational model mix and avoidable hospitalization: an ecological study in Portugal

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Pinto ◽  
J V Santos ◽  
M Lobo ◽  
J Viana ◽  
J Souza ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Primary Healthcare ◽  
Pay For Performance ◽  
Care Quality ◽  
Organizational Model ◽  
Avoidable Hospitalizations ◽  
Primary Health ◽  
Age And Sex

Abstract Background In Portugal, there are different organizational models in primary health care (PHC), mainly regarding the payment scheme. USF-B is the only type with financial incentives to the professional (pay-for-performance). Our goal was to assess the relationship between groups of primary healthcare centres (ACES) with higher proportion of patients within USF-B model and the rate of avoidable hospitalizations, as proxy of primary care quality. Methods We conducted a cross-sectional study considering the 55 ACES from mainland Portugal, in 2017. We used data from public hospitalizations to calculate the prevention quality indicator (avoidable hospitalizations) adjusted for age and sex, using direct standardization. The main independent variable was the proportion of patients in one ACES registered in the USF-B model. Unemployment rate, proportion of patients with family doctor and presence of Local Health Unit (different organization model) within ACES were also considered. The association was assessed by means of a linear regression model. Results Age-sex adjusted PQI value varied between 490 and 1715 hospitalizations per 100,000 inhabitants across ACES. We observed a significant effect of the proportion of patients within USF-B in the crude PQI rate (p = 0.001). However, using the age-sex adjusted PQI, there was not a statistical significant association (p = 0.504). This last model was also adjusted for confounding variables and the association remains non-significant (p = 0.865). Conclusions Our findings suggest that, when adjusting for age and sex, there is no evidence that ACES with more patients enrolled in a pay-for-performance model is associated with higher quality of PHC (using avoidable hospitalizations as proxy). Further studies addressing individual data should be performed. This work was financed by FEDER funds through the COMPETE 2020 - POCI, and by Portuguese funds through FCT in the framework of the project POCI-01-0145-FEDER-030766 “1st.IndiQare”. Key messages Adjusting PQI to sex and age seems to influence its value more than the type of organizational model of primary health care. Groups of primary healthcare centres with more units under the pay-for-performance scheme was not associated with different rate of avoidable hospitalizations.

scholarly journals Cross-cultural adaptation of the primary health care satisfaction questionnaire

2014 ◽  
Vol 27 (5) ◽  
pp. 419-426 ◽  
Author(s):  
Elisabete Pimenta Araujo Paz ◽  
Pedro Miguel Santos Dinis Parreira ◽  
Alexandrina de Jesus Serra Lobo ◽  
Rosilene Rocha Palasson ◽  
Sheila Nascimento Pereira de Farias
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Cultural Adaptation ◽  
Care Service ◽  
Cross Cultural ◽  
Care Services ◽  
Primary Health

Objective To develop the cross-cultural validation and assessment of the psychometric properties of the Questionnaire about the quality and satisfaction dimensions of patients with primary health care. Methods Methodological cultural adaptation and assessment study of the psychometric properties, involving 398 users from a primary care service. The construct validity was verified through principal components factor analysis and internal consistency assessment as determined by Cronbach’s alpha, using SPSS. Results A factorial structure was identified that is equivalent to the original instrument, showing six factors that explain 70.81% of the total variance. All internal consistency coefficients were higher than 0.84, indicating appropriate psychometric properties. Conclusion The results show that the Brazilian Portuguese version of the instrument is culturally and linguistically appropriate to assess the satisfaction of users attended in primary care services.

scholarly journals Promoting cross-jurisdictional primary health care research: developing a set of common indicators across 12 community-based primary health care teams in Canada

2018 ◽  
Vol 20 ◽  
Author(s):  
Sabrina T. Wong ◽  
Julia M. Langton ◽  
Alan Katz ◽  
Martin Fortin ◽  
Marshall Godwin ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Working Group ◽  
Scale Up ◽  
Data Sources ◽  
Knowledge Generation ◽  
Community Based ◽  
Primary Health ◽  
The Impact

AbstractAimTo describe the process by which the 12 community-based primary health care (CBPHC) research teams worked together and fostered cross-jurisdictional collaboration, including collection of common indicators with the goal of using the same measures and data sources.BackgroundA pan-Canadian mechanism for common measurement of the impact of primary care innovations across Canada is lacking. The Canadian Institutes for Health Research and its partners funded 12 teams to conduct research and collaborate on development of a set of commonly collected indicators.MethodsA working group representing the 12 teams was established. They undertook an iterative process to consider existing primary care indicators identified from the literature and by stakeholders. Indicators were agreed upon with the intention of addressing three objectives across the 12 teams: (1) describing the impact of improving access to CBPHC; (2) examining the impact of alternative models of chronic disease prevention and management in CBPHC; and (3) describing the structures and context that influence the implementation, delivery, cost, and potential for scale-up of CBPHC innovations.FindingsNineteen common indicators within the core dimensions of primary care were identified: access, comprehensiveness, coordination, effectiveness, and equity. We also agreed to collect data on health care costs and utilization within each team. Data sources include surveys, health administrative data, interviews, focus groups, and case studies. Collaboration across these teams sets the foundation for a unique opportunity for new knowledge generation, over and above any knowledge developed by any one team. Keys to success are each team’s willingness to engage and commitment to working across teams, funding to support this collaboration, and distributed leadership across the working group. Reaching consensus on collection of common indicators is challenging but achievable.

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