scholarly journals No man is an Island: spatial clustering and access to primary care as possible targets for the development of new community mental health approaches.

2020 ◽  
Author(s):  
Miguel Nascimento ◽  
Beatriz Lourenço ◽  
Ines Coelho ◽  
Joana Aguiar ◽  
Mariana Lázaro ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Treatment ◽  
Depressive Disorders ◽  
Statistical Significance ◽  
Psychiatric Ward ◽  
Main Diagnosis ◽  
Mean Values ◽  
Number Of Patients ◽  
Geographical Clusters

Abstract Background: to understand if patients seen at Centro Hospitalar Psiquiátrico de Lisboa (CHPL) live in geographical clusters or randomly throughout the city, as well as determine their access to the psychiatric hospital and primary care facilities (PCF). Methods: spatial autocorrelation statistics were performed (queen criterion of contiguity), regarding all patients observed at CHPL in 2017 (at the census subsection level), and considering not only their overall number but also main diagnosis, and admission to the psychiatric ward - voluntary or compulsory. Distance to the hospital and to the closest PCF was measured (for each patient and the variables cited above), and the mean values were compared. Finally, the total number of patients around each PCF was counted, considering specified radius sizes of 656 and 1000m. Results: All 5161 patients (509 psychiatric admissions) were geolocated, and statistical significance regarding patient clustering was found for the total number (p-0.0001) and specific group of disorders, namely Schizophrenia and related disorders (p-0.007) and depressive disorders (p-0.0002). Patients who were admitted in a psychiatric ward live farther away from the hospital (p-0.002), with the compulsory admissions (versus voluntary ones) living even farther (p-0.004). Furthermore, defining a radius of 1000m for each PCF allowed the identification of two PCF with more than 1000 patients, and two others with more than 800. Conclusions: as patients seem to live in geographical clusters (and considering PCFs with the highest number of them), possible locations for the development of programs regarding mental health treatment and prevention can now be identified.

scholarly journals No man is an Island: spatial clustering and access to primary care as possible targets for the development of new community mental health approaches.

2020 ◽  
Author(s):  
Miguel Nascimento ◽  
Beatriz Lourenço ◽  
Ines Coelho ◽  
Joana Aguiar ◽  
Mariana Lázaro ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Treatment ◽  
Depressive Disorders ◽  
Statistical Significance ◽  
Psychiatric Ward ◽  
Main Diagnosis ◽  
Mean Values ◽  
Number Of Patients ◽  
Geographical Clusters

Abstract Purpose: to understand if patients seen at Centro Hospitalar Psiquiátrico de Lisboa (CHPL) live in geographical clusters or randomly throughout the city, as well as determine their access to the psychiatric hospital and primary care facilities (PCF). Methods: spatial autocorrelation statistics regarding all patients observed at CHPL in 2017, at the census subsection level, considering a queen criterion of contiguity, regarding not only their overall number but also main diagnosis, and admission to the psychiatric ward - voluntary or compulsory. Distance to the hospital and to the closest PCF was measured (for each patient and the variables cited above), and the mean values were compared. Finally, the total number of patients around each PCF was counted, considering specified radius sizes of 656 and 1000m. Results: All 5161 patients (509 psychiatric admissions) were geolocated, and statistical significance regarding patient clustering was found for the total number (p-0.0001) and specific group of disorders, namely Schizophrenia and related disorders (p-0.007) and depressive disorders (p-0.0002). Patients who were admitted in a psychiatric ward live farther away from the hospital (p-0.002), with the compulsory admissions (versus voluntary ones) living even farther (p-0.004). Furthermore, defining a radius of 1000m for each PCF allowed the identification of two PCF with more than 1000 patients, and two others with more than 800. Conclusions: as patients seem to live in geographical clusters (and considering PCFs with the highest number of them), possible locations for the development of programs regarding mental health treatment and prevention can now be identified.

scholarly journals No man is an Island: spatial clustering and access to primary care as possible targets for the development of new community mental health approaches.

2019 ◽  
Author(s):  
Miguel Nascimento ◽  
Beatriz Lourenço ◽  
Ines Coelho ◽  
Joana Aguiar ◽  
Mariana Lázaro ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Treatment ◽  
Depressive Disorders ◽  
Statistical Significance ◽  
Psychiatric Ward ◽  
Main Diagnosis ◽  
Mean Values ◽  
Number Of Patients ◽  
Geographical Clusters

Abstract Purpose: to understand if patients seen at Centro Hospitalar Psiquiátrico de Lisboa (CHPL) live in geographical clusters or randomly throughout the city, as well as determine their access to the psychiatric hospital and primary care facilities (PCF). Methods: spatial autocorrelation statistics regarding all patients observed at CHPL in 2017, at the census subsection level, considering a queen criterion of contiguity, regarding not only their overall number but also main diagnosis, and admission to the psychiatric ward - voluntary or compulsory. Distance to the hospital and to the closest PCF was measured (for each patient and the variables cited above), and the mean values were compared. Finally, the total number of patients around each PCF was counted, considering specified radius sizes of 656 and 1000m. Results: All 5161 patients (509 psychiatric admissions) were geolocated, and statistical significance regarding patient clustering was found for the total number (p-0.0001) and specific group of disorders, namely Schizophrenia and related disorders (p-0.007) and depressive disorders (p-0.0002). Patients who were admitted in a psychiatric ward live farther away from the hospital (p-0.002), with the compulsory admissions (versus voluntary ones) living even farther (p-0.004). Furthermore, defining a radius of 1000m for each PCF allowed the identification of two PCF with more than 1000 patients, and two others with more than 800. Conclusions: as patients seem to live in geographical clusters (and considering PCFs with the highest number of them), possible locations for the development of programs regarding mental health treatment and prevention can now be identified.

Text Messaging as a Mental Health Treatment Intervention: A Corpus-Based Study

2019 ◽  
Author(s):  
Megan Partch ◽  
Cass Dykeman
Keyword(s):  
Mental Health ◽  
Mental Health Treatment ◽  
Text Messaging ◽  
Low Cost ◽  
Statistical Significance ◽  
Text Message ◽  
Treatment Session ◽  
Text Messages ◽  
Health Treatment ◽  
Emotional Tone

Mental health treatment providers seek high-impact and low-cost means of engaging clients in care. As such, text messaging is becoming more frequently utilized as a means of communication between provider and client. Research demonstrates that text message interventions increase treatment session attendance, decrease symptomology, and improve overall functioning. However, research is lacking related to the linguistic make up of provider communications. Text messages were collected from previously published articles related to the treatment of mental health disorders. A corpus of 39 mental health treatment text message interventions was composed totaling 286 words. Using Linguistic Inquiry and Word Count (LIWC) software, messages were analyzed for prevalence of terminology thought to enhance client engagement. Clout, demonstrating the writer’s confidence and expertise, and positive Emotional Tone were found to be at a high level within the corpus. Results demonstrated statistical significance for five linguistic variables. When compared with national blog norms derived from Twitter, Clout, Emotional Tone, and use of Biological terminology were found to be at higher rates than expected. Authenticity and Informal terminology were found at significantly lesser rates.

scholarly journals Advances in psychiatric treatment in primary care

2001 ◽  
Vol 7 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Christopher Dowrick
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
National Health Service ◽  
Health Service ◽  
Health Professionals ◽  
Depressive Disorders ◽  
Mental Health Problems ◽  
Psychiatric Treatment ◽  
Mental Illnesses ◽  
Breaking Work

Following ground-breaking work by Shepherd et al (1966) and, more recently, Goldberg & Huxley (1992), primary care is now recognised as the arena in which most contact occurs between the National Health Service (NHS) and people with mental health problems. General practitioners (GPs) remain the first, and in many cases the only, health professionals involved in the management of a whole range of conditions, from common anxiety and depressive disorders to severe and enduring mental illnesses.

scholarly journals Efforts and Challenges to Ensure Continuity of Mental Healthcare Service Delivery in a Low Resource Settings During COVID-19 Pandemic—A Case of a Kenyan Referral Hospital

2021 ◽  
Vol 11 ◽  
Author(s):  
Edith Kwobah ◽  
Florence Jaguga ◽  
Kiptoo Robert ◽  
Elias Ndolo ◽  
Jane Kariuki
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Health Care ◽  
Service Delivery ◽  
Mental Health Care ◽  
Healthcare Service ◽  
Healthcare Delivery ◽  
Mental Healthcare ◽  
Referral Hospital ◽  
Number Of Patients

The rising number of patients with Covid-19 as well as the infection control measures have affected healthcare service delivery, including mental healthcare. Mental healthcare delivery in low and middle income countries where resources were already limited are likely to be affected more during this pandemic. This paper describes the efforts of ensuring mental healthcare delivery is continued in a referral hospital in Kenya, Moi Teaching and Referral hospital, as well as the challenges faced. These efforts are guided by the interim guidelines developed by the Kenyan ministry of health. Some of the adjustments described includes reducing number of patients admitted, shortening the stay in the inpatient setting, using outdoors for therapy to promote physical distancing, utilization of electronic platforms for family therapy sessions, strengthening outpatient services, and supporting primary care workers to deliver mental health care services. Some of the challenges include limited ability to move about, declining ability for patients to pay out of pocket due to the economic challenges brought about by measures to control Covid-19, limited drug supplies in primary care facilities, inability to fully implement telehealth due to connectivity issues and stigma for mental health which results in poor social support for the mentally ill patients. It is clear that current pandemic has jeopardized the continuity of usual mental healthcare in many settings. This has brought to sharp focus the need to decentralize mental health care and promote community based services. Meanwhile, there is need to explore feasible alternatives to ensure continuity of care.

scholarly journals Mental Health Treatment Provided by Primary Care Psychologists in the Netherlands

2013 ◽  
Vol 64 (1) ◽  
pp. 94-97 ◽  
Author(s):  
Peter F. M. Verhaak ◽  
Hans Kamsma ◽  
Anneke van der Niet
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
The Netherlands ◽  
Mental Health Treatment ◽  
Health Treatment

scholarly journals Mental Health Treatment Preferences of Older and Younger Primary Care Patients

2004 ◽  
Vol 34 (3) ◽  
pp. 219-233 ◽  
Author(s):  
Julie Loebach Wetherell ◽  
Robert M. Kaplan ◽  
Gene Kallenberg ◽  
Timothy R. Dresselhaus ◽  
William J. Sieber ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Treatment ◽  
Treatment Preferences ◽  
Health Treatment ◽  
Primary Care Patients

scholarly journals Treatment dropout at a secondary mental health service

2012 ◽  
Vol 34 (4) ◽  
pp. 207-214
Author(s):  
Mário Sérgio Ribeiro ◽  
José Cândido Caldeira Xavier Júnior ◽  
Tiago Rodrigues Mascarenhas ◽  
Priscila Matthiesen Silva ◽  
Eveline Maria de Melo Vieira ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Health Care ◽  
Health Care Professionals ◽  
Mental Health Treatment ◽  
Process Variable ◽  
Dropout Rate ◽  
Care Process ◽  
Treatment Dropout ◽  
Independent Variables

OBJECTIVE: To investigate mental health dropout rates in secondary care and to identify possible associations between this variable and social, demographic, psychopathologic, and health care process-related variables. METHOD: This prospective, observational study included 994 patients referred to a secondary service by four primary care units and evaluated by a specialist mental health team between 2004 and 2008. The dependent variable was treatment dropout. Bivariate analyses investigated possible associations between treatment dropout and 57 independent variables. RESULTS: The overall dropout rate from specialist mental health treatment was relatively low (mean = 25.6%). Only four independent variables were associated with dropout: one socioeconomic, two psychopathological, and one health care process variable. All associations were marginally significant (p < 0.1). CONCLUSION: Our findings suggest that family members, patients, and health care professionals are well engaged in this mental health care system based on a model of primary care. The use of this mental health model of care should be extended to other regions of our country.

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