Introducing a new assessment instrument: The Measurements in the Addictions for Triage and Evalution (MATE)

2009 ◽  
Vol 55 (4) ◽  
pp. 209-218 ◽  
Author(s):  
Gerard M. Schippers ◽  
Theo G. Broekman ◽  
Angela Buchholz ◽  
Ruud Rutten⁴
Keyword(s):  
Assessment Instrument ◽  
Icd 10 ◽  
Körperliche Beschwerden

Ein neues Messinstrument: Der Measurements in the Addictions for Triage and Evaluation (MATE) Fragestellung: Es wird ein neues Messinstrument, der Measurements in the Addictions for Triage and Evaluation (MATE) vorgestellt. Der MATE wurde für die Zuweisung von Patienten zu Behandlungen verschiedener Intensität (Triage) und zur Behandlungsevaluation im Suchtbereich entwickelt. </p><p> Konzeptueller Hintergrund: Im MATE werden Konzepte aus der ICD-10 und der ICF verwendet. Dies schließt Umweltfaktoren, also fördernde und hindernde Faktoren mit ein. Dadurch ist eine universale Anwendbarkeit des Instruments gewährleistet. </p><p> Aufbau des Instruments: Der MATE besteht aus 10 unabhängigen Modulen: (1) Substanzkonsum, (2) Abhängigkeit und ‑missbrauch, (3) Verlangen, (4) Depression, Angst und Stress, (5) Indikatoren für psychiatrische und medizinische Konsultationen, (6) Persönlichkeit, (7) körperliche Beschwerden und Symptome, (8) Aktivitäten und Partizipation, Hilfe und Unterstützung, Hilfebedarf, (9) Umweltfaktoren mit Einfluss auf die Rehabilitation und (10) frühere Suchtbehandlungen. </p><p> Schlussfolgerungen: Der MATE 2.0 ist hilfreich bei der Erfassung von Patientenmerkmalen in der Behandlung substanzbezogener Störungen. Seine psychometrischen Eigenschaften sind akzeptabel, er fördert den Wissensaustausch und unterstützt die standardisierte Zuweisung und Evaluation von Behandlungsmaßnahmen.

scholarly journals First Rank Symptoms and Neurological Soft Signs in Schizophrenia

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Mahesh Hembram ◽  
Jayati Simlai ◽  
Suprakash Chaudhury ◽  
Parthasarathi Biswas
Keyword(s):  
Negative Symptoms ◽  
Clinical Symptoms ◽  
Assessment Instrument ◽  
Positive Symptom ◽  
Neurological Assessment ◽  
Neurological Soft Signs ◽  
Icd 10 ◽  
First Rank Symptoms ◽  
Written Informed Consent ◽  
Normal Controls

The aim of the study was to compare the neurological soft signs (NSS) in schizophrenia patients with and without first rank symptoms (FRS), their first degree relatives (FDR), and normal controls. The study was conducted on 60 schizophrenia patients diagnosed according to ICD 10 DCR and categorized into groups with and without FRS using Schedules for Clinical Assessment in Neuropsychiatry, 30 FDRs of the study sample, and 30 normal controls matched for age, education, and handedness. All the subjects gave written informed consent. Scale for the Assessment of Positive Symptoms and Scale for the Assessment of Negative Symptoms were applied to have a comprehensive assessment of the symptoms. NSS were assessed using Extended Standard Neurological Assessment Instrument. The correlations between NSS and clinical symptoms were relatively modest but significant. There was a weak relation between NSS and positive symptom severity. The FDR of schizophrenia patients had significantly lower NSS scores than schizophrenia patients, but only FDR of schizophrenia patients without FRS had significantly higher scores than normal controls. Our results indicate that NSS are more prominent in schizophrenia patients with negative symptoms and support the theory of NSS being a trait marker of schizophrenia particularly in those without FRS.

scholarly journals Fall-Related Injury in Older Adult Home Care Recipients: A Descriptive Population Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 791-791
Author(s):  
Danilla Xing ◽  
Aleksandra Zecevic ◽  
Nicolette Lappan ◽  
Yu Ming
Keyword(s):  
Home Care ◽  
Secondary Data ◽  
Population Based ◽  
Risk Identification ◽  
Assessment Instrument ◽  
Data Repository ◽  
Care Recipients ◽  
Care Assessment ◽  
Icd 10 ◽  
Resident Assessment

Abstract Canada is experiencing a growing aging population leading to an increase in the number of individuals receiving home care. More needs to be known about home care clients who experience fall-related injuries. The purpose of this study was to describe the characteristics of Ontario home care recipients (65 and older) who experienced fall-related injury, and the characteristics of those injuries. We conducted a population-based descriptive study using secondary data from the IC/ES data repository for the period of 2010-2014. Person-level characteristics were extracted from the Resident Assessment Instrument - Home Care and injury characteristics from ICD-10 CA codes for falls (W00-W19) in combination with injuries (S00-S99 or T00-T14), available from the NACRS database. Descriptive statistics and rates were calculated using R. Results show the population (N= 88,731) was primarily female (67.0%), the largest age group was 85-89 years old (25.5%) and hypertension was the most prevalent (83.0%) chronic condition. Clinical Assessment Protocols (CAPs) indicated need for support in management of IADLs (75.4%), falls (72.3%) and pain (70.3%). Most patients (55.8%) used nine or more medications. In 90 days prior to home care assessment, 39.6% experienced no falls, 32.4% fell once, and 26.1% fell two or more times. Injuries primarily took place within the home (38.2%). Factures were the predominant injury type (40.8%), followed by superficial injuries (19.7%). These findings create a foundation for fall-related injury prevention in home care and further research on risk identification, the efficacy of CAPs, and home environment adjustments.

A Guide to Coding and Billing for the Audiological Management of Patients Receiving Ototoxic Medical Treatments

2019 ◽  
Vol 4 (5) ◽  
pp. 936-946
Author(s):  
Dawn Konrad-Martin ◽  
Neela Swanson ◽  
Angela Garinis
Keyword(s):  
Otoacoustic Emissions ◽  
Best Practice ◽  
Private Insurance ◽  
Monitoring Program ◽  
Current Method ◽  
International Classification Of Diseases ◽  
Ethical Practice ◽  
Party Payer ◽  
High Frequency Audiometry ◽  
Icd 10

Purpose Improved medical care leading to increased survivorship among patients with cancer and infectious diseases has created a need for ototoxicity monitoring programs nationwide. The goal of this report is to promote effective and standardized coding and 3rd-party payer billing practices for the audiological management of symptomatic ototoxicity. Method The approach was to compile the relevant International Classification of Diseases, 10th Revision (ICD-10-CM) codes and Current Procedural Terminology (CPT; American Medical Association) codes and explain their use for obtaining reimbursement from Medicare, Medicaid, and private insurance. Results Each claim submitted to a payer for reimbursement of ototoxicity monitoring must include both ICD-10-CM codes to report the patient's diagnosis and CPT codes to report the services provided by the audiologist. Results address the general 3rd-party payer guidelines for ototoxicity monitoring and ICD-10-CM and CPT coding principles and provide illustrative examples. There is no “stand-alone” CPT code for high-frequency audiometry, an important test for ototoxicity monitoring. The current method of adding a –22 modifier to a standard audiometry code and then submitting a letter rationalizing why the test was done has inconsistent outcomes and is time intensive for the clinician. Similarly, some clinicians report difficulty getting reimbursed for detailed otoacoustic emissions testing in the context of ototoxicity monitoring. Conclusions Ethical practice, not reimbursement, must guide clinical practice. However, appropriate billing and coding resulting in 3rd-party reimbursement for audiology services rendered is critical for maintaining an effective ototoxicity monitoring program. Many 3rd-party payers reimburse for these services. For any CPT code, payment patterns vary widely within and across 3rd-party payers. Standardizing coding and billing practices as well as advocacy including letters from audiology national organizations may be necessary to help resolve these issues of coding and coverage in order to support best practice recommendations for ototoxicity monitoring.

Are You Ready for ICD-10-CM?

ASHA Leader ◽  
2012 ◽  
Vol 17 (2) ◽  
pp. 3-8
Author(s):  
Janet McCarty ◽  
Neela Swanson
Keyword(s):  
Icd 10

Answers to Your ICD-10-CM Coding Questions

ASHA Leader ◽  
2016 ◽  
Vol 21 (1) ◽  
pp. 30-32
Author(s):  
Kate Ogden ◽  
Neela Swanson ◽  
Janet McCarty
Keyword(s):  
Icd 10

Ready to Code and Bill ICD-10?

ASHA Leader ◽  
2015 ◽  
Vol 20 (8) ◽  
pp. 36-37
Author(s):  
Neela Swanson ◽  
Janet McCarty
Keyword(s):  
Icd 10

CMS Proposes to Switch to ICD-10 Codes by 2011

2008 ◽  
Vol 39 (11) ◽  
pp. 64
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  
Icd 10

Physician Groups Protest Timeline for ICD-10

2008 ◽  
Vol 41 (19) ◽  
pp. 46-47 ◽  
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  
Icd 10

Der AVEM im Lehrerberuf: Eine Validierungsstudie

2001 ◽  
Vol 22 (4) ◽  
pp. 267-278 ◽  
Author(s):  
Rolf van Dick ◽  
Ulrich Wagner
Keyword(s):  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Citizenship Behavior ◽  
Körperliche Beschwerden ◽  
Berufliche Belastungen ◽  
Job Diagnostic Survey

Zusammenfassung: Einer größeren Lehrerstichprobe (N = 434), die hinsichtlich verschiedener demographischer Merkmale heterogen ist, wird der AVEM (Arbeitsbezogenes Verhaltens- und Erlebensmuster; Schaarschmidt & Fischer, 1996 , 1997 ) vorgelegt. Als Kriteriumsvariablen werden körperliche Beschwerden, Fehltage, berufliche Belastungen, Pensionierungsabsichten sowie Organizational Citizenship Behavior ( Organ, 1988 ) erfragt. Teilstichproben beantworten zusätzlich Skalen zu Copingverhalten, Sozialer Unterstützung, Kompetenzerwartung sowie eine an den Lehrerberuf adaptierte Version des Job Diagnostic Survey ( Hackman & Oldham, 1980 ). Faktoren- und Reliabilitätsanalysen replizieren die Ergebnisse von Schaarschmidt und Fischer. Eine Clusteranalyse ergibt vier Muster, von denen drei Muster der von Schaarschmidt und Fischer postulierten Einteilung entsprechen; ein viertes Muster weicht von dieser Klassifikation ab. Eine zweite Studie mit N = 283 Lehrerinnen und Lehrern kann die Lösung der ersten Clusteranalyse replizieren. Die Zusammenhänge belegen insgesamt eine gute konvergente, diskriminante und Kriteriumsvalidität und weisen den AVEM als brauchbares Messinstrument zur Analyse von Belastung und Beanspruchung im Lehrerberuf aus.

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