Screening Measures in Integrated Behavioral Health and Primary Care Settings


Behavioral health screening

Date of recommendation

Description

Alcohol misuse screening; (Drinking, risky/hazardous) adults and pregnant women

Screening and counseling 2004

Grade Ba
  
Offer or provide this service

Depression screening for adults (> 18) and adolescents (12–18)

2009

Grade Ba
  
Offer or provide this service when staff-assisted depression care supports are in place

Depression screening for adults (>18)

2009

Grade Ba
  
Offer or provide this service when staff-assisted depression care supports are not in place

Obesity screening and counseling: children and adults

2003 (Adults)

Grade Ba
 
2010 (Children)

Offer or provide this service

Smoking screening and tobacco cessation counseling

Counseling and interventions 2009

Grade Ab
  
Offer or provide this service

Dementia (Alzheimer’s disease)

Screening

Ic

Drug use, illicit

Screening 2008

Ic

Family violence

Screening 2004

Ic


aB: The USPSTF recommends the service. There is high certainty that the net benefit is moderate or there is moderate certainty that the net benefit is moderate to substantial

bA: USPSTF highly recommends the service

cI: The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of the service. Evidence is lacking, of poor quality, or conflicting, and the balance of benefits and harms cannot be determined. If the service is offered, patients should understand the uncertainty about the balance of benefits and harms



The gold standards for preventive health care screenings based on population-­based studies have been set by USPSTF; however, they are not the only organization that offers behavioral health screening recommendations. The Center for Disease Control (CDC), American Association of Pediatrics (AAP) (2001), American College of Obstetricians and Gynecologists (ACOG), American Association of Family Physicians (AAFP), American College of Physicians (ACP), The National Commission on Prevention Priorities (NCPP), The Canadian Task Force on Preventative Care, and the Institute of Medicine (IOM) have outlined other recommendations that are unique for primary care populations. Internationally, the National Institute for Health and Clinical Excellence (NICE) (2012) is the UK’s organization that manages a national health care data base, offers a wealth of ­evidence-based recommendations, and provides clinical algorithms.



Embedding Screening in the Context of Health Care Delivery Practices


Screening and detection of any disorder that requires further assessment is a complex process. Screening protocols assume that (a) detection will lead to early intervention, which can prevent a mental health or substance abuse disease process from advancing, and that (b) improved health outcomes and/or cost-effectiveness result from clearly defined screening guidelines, according to epidemiological studies and evidence-based research. Therefore, sufficient evidence is needed to support the use of behavioral health screening measures for a specific population in a primary care setting.

Screening is not a diagnostic litmus test, but an indicator that further assessment is needed. Screening for mental health conditions, consequently, is not a diagnosis of a mental health condition. And, clinical situations where a patient may require behavioral health expertise does not confirm or sufficiently describe which behavioral health intervention is needed. Clinical interviewing, judgment, and decision-­making processes of the provider are not replaced but augmented by standardized screening. Screening tools supplement the provider-patient relationship, with the understanding that unique patient needs, style, cultural and family backgrounds, and other factors may influence the validity of a screening tool. Choosing the appropriate tool among the many screening tools and assessment instruments is just one of the initial steps in implementation. The larger health care context plays a significant role in the effective use of screening.

Using screening tools goes beyond choosing a measurement and “sending patients off” and expecting something to change. Incorporating screening tools into clinical practice is a process that may begin with identifying the target population or condition, choosing reliable tool(s), and then implementing and nurturing a system of care to achieve expected benefits and outcomes. It requires the entire practice to adapt and embrace the incorporation of this process. These questions and tasks are described in Fig. 12.1, using the integrated care practice “lexicon” (See Chap. 2; Peek, 2011) as the framework.

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Fig. 12.1
Questions, tasks, and examples for embedding screening effectively in practice (See Chaps. 2 and 11)

In this chapter, valid and reliable screening tools for primary care will be described using the what, how, and supported by parameters of integrated care: (1) defining the team members’ level of training, roles and tasks, and communication between providers about the screening results; (2) identifying the patient population and rationale for screening—life stages and/or specific patient group with particular attention to the cultural, socioeconomic, and gender issues; (3) describing the clinical screening tools, including the primary purpose and function of the standardized screening tools along with its specificity and sensitivity, (4) outlining the office management process and financial systems for effectively using screening tools such as cost, time, and billing; and (5) using a data collection system to track individual and/or clinical population trends and identifying quality improvement methods. Since there are a host of resources, such as Health and Psychosocial Instruments (HaPI database) for mental health and behavioral health assessment instruments, the focus of this chapter is not to provide an exhaustive list of behavioral health screening tools, rather to focus on the most common standardized tools used in primary care settings and, more importantly, address the components within the health care setting that are needed to effectively embed these tools for patient-­centered care.


Health Care Team: Defining Roles, Responsibilities, and Communication in Screening


One of the first steps in effectively implementing screening tools is defining the roles and responsibilities of each team member—physicians, nurses, medical assistants, behavioral health providers, and support staff. The team has the responsibility of making a number of screening decisions, such as who gets screened and with what screening tools. The responsibility of administering, scoring, reporting results to the patient or family, and managing follow-up care needs to be discussed and delegated among team members. Without clearly defined tasks and communication pathways, information from screening tools are often not completed, reviewed or discussed with patients much less become part of the clinical monitoring system for follow-up care (Hayutin, Reed-Knight, Blount, Lewis, & McCormick, 2009; Herman-Staab, 1994; Pinto-Martin et al., 2005).


Patient Populations and Clinical Screening Tools



Pediatric Screening Tools


Developmental screening for children seen in primary care has been an important and growing area of interest in our primary care system (Tolan & Dodge, 2005). The purpose of screening children is to identify those who should receive more intensive assessment or diagnosis for potential developmental delays. Screening can promote earlier detection of developmental delays, which is correlated with improved prognosis and healthier outcomes for children who receive early intervention thereby improving child health and well-being (Borowsky, Mozayeny, & Ireland, 2003; Center for Disease Control and Prevention [CDC], 2011; Glascoe, 2005; Richardson, Keller, Selby-Harrington, & Parrish, 1996; Sheldrick, Merchant, & Perrin, 2011).

Well-child checkups in primary care are a natural venue for direct contact with parents and their children and an opportunity for systematic continuity of developmental screening. Primary care providers are in a unique position to provide developmental assessments within the context of the physician–family relationship to support normal development and identify and intervene when children exhibit early warning signs of risks. It is estimated that 17 % of children have a developmental disability or behavioral disorder (Glascoe, 2005). However, studies have indicated consistently that infants and young children who have clinically significant developmental delays are not adequately detected in pediatric primary care (Drotar, Stancin, Dworkin, Sices, & Wood, 2008; Richardson et al., 1996). Only a fraction (30 %) of the children who have a developmental disability (17 %) are identified in the health care settings (Polaha, Dalton, & Allen, 2011; Sand et al., 2005). Consequently, critical opportunities for early intervention are lost.

Routine screening for developmental delays, mental health, and psychosocial problems in pediatrics has also become a matter of policy (Blanchard, Gurka, & Blackman, 2006). Medicaid, the federal health insurance program that provides health care for 20 million of the nation’s economically impoverished children, implemented the Early Periodic Screening Diagnosis and Treatment Program (EPSDT) which mandates well-child visits to include screening for mental health and developmental problems (Brickman, Garrity, & Shaw, 2002; Sheldrick et al., 2011). The need to focus more attention on children’s psychosocial problems has been underscored and raised to the level of policy recommendations by national benchmarking efforts like Healthy People 2010 (U.S. Department of Health and Human Services, 2000).

The American Association of Pediatricians (AAP) recommends performing developmental surveillance at every well-child visit and using a formal screening tool at the 9-, 18-, 24-, and 30-month checkups (Drotar et al., 2008) and then, annually beginning at 3 years of age (LaRosa, 2010) (See Table 12.2). In contrast, the United States Preventive Services Task Force (USPSTF) does not recommend screening for speech, language, or developmental delay in preschool children due to insufficient evidence. Despite this, AAP continues to recommend the use of screening tools to identify and describe the level of the child’s risk for developmental delay as a means to systematically monitor and assess a child’s developmental progression (Blanchard et al., 2006; Glascoe, 2005; Nelson, Nygren, Walker, & Panoscha, 2006; Pinto-Martin, Souders, 2005; Schonwald, Huntington, Chan, Risko, & Bridgemohan, 2009; Sheldrick et al., 2011; Williams, Klinepeter, Palmes, Pulley, & Foy, 2004).


Table 12.2
Pediatric screening tools in primary care


















































































































Patient populations

Clinical system: screening tools (sensitivity; specificity)

Administration and resources

Comments

Preschool (0–5)

Ages and Stages Questionnaire (ASQ) (.86;.85)

Parent completes 21–35 questions; results shared during office visit. Takes 15 min to complete. http://agesandstages.com/

Developmental surveillance of individual patients
     
Facilitates systematic early detection and referral

Nontargeted screening: early childhood developmental milestones (AAP recommended at 9, 18, 24, 36, 48 months)

Pediatric Evaluation of Developmental Status (PEDS) (.74;.64)

Parent completes 7–10 questions. Takes 2–5 min to complete, less than 1 min to score. http://www.pedstest.com/
 
     
Requires coordinated, consistentuse in PCMH
     
Referral to BH and/or community resources for follow-up for pts in clinical ranges (EPPS Programs)

Specific preschool populations:

Autism spectrum disorder

Checklist for Autism in Toddlers (CHAT): (.98;.18–.38)


2–5-year-olds with a positive PEDS or ASQ flagged
     
Referral protocol for EPPS programs or CMH for assessment and treatment

Developmental delays (speech and language)

Modified CHAT (M-CHAT) (.85;.93)
   

School-age children aged 6–17

Pediatric Symptom Checklist (PSC; PSC-17) (.80–.90;.70-1)

Parent completed questionnaire (age 6–17)

Valid and reliable tool for school age children. Useful for tracking population based data.
   
Youth completed questionnaire (age 11–17)

 

School-age population: ADD

Vanderbilt ADHD: (specificity:.09; sensitivity not available)

Parent, teacher, and youth complete 60–90 question form. Takes 5–35 min.

 
 
Connors Rating Scale (CRS): (78–92 %; Specificity: 84–94 %)

Parent, teacher, and youth complete 60–90 question form. Takes 5–35 min.


Not available to general public; purchased by only qualified buyers.

Adolescence

Guidelines for Adolescent for Preventive Services Questionnaire (GAPS) (specificity and sensitivity not evaluated)

72 item checklist on risk behaviors and mood and three semi-structure questions on strengths and self-concept.


Valuable resource for individual identification
 
Rapid Assessment for Adolescent Preventive Services (RAAPS): (97; 74)


Available to youth on the internet
 
HEADSS: (specificity and sensitivity not evaluated)


Less reliable and valid clinical interviewing tool for screening adolescents

Adolescent depression and anxiety

Patient Health Questionnaire—Adolescent (PHQ-A) (.75;.92)


Recommended by USPSTF Grade B when support systems are available
 
Beck Depression Inventory—Primary Care (BDI-PC):.91;91
   
 
Beck Anxiety Inventory for Youth (BYI).74–.90 for ages 7–10,.84–.93 for ages 11–14, and.83–.93 for ages 15–18

 

Adolescent substance misuse

CRAAFT (.76–92;.76; 94)

 

Adolescents with mood disorders (bi-polar)

Mood and Feelings Questionnaire (MFQ) MFQ- C (.68;.88) MFQ-P (.61-;.85)
 
Limited evidence of specificity and sensitivity for in primary care settings


Preschool Population


There are two recommended screening instruments for general screening during well-child visits with infants and toddlers; the Pediatric Evaluation of Developmental Status (PEDS) and the Ages and Stages Questionnaire (ASQ), including the Social and Emotional Surveys (ASQ-SE) (Drotar et al., 2008). Parents complete these surveys before office visits and the results are shared with the parents during the visit. Clinical staff—medical assistance, nurses, or physicians—may enter the information into the medical charts to track the developmental progression of the child, similar to growth chart tracking systems (Lazarus, 1999; Sices, Stancin, Kirchner, & Bauchner, 2009; Wallis & Pinto-Martin, 2008).

Pediatric Evaluation of Developmental Status (PEDS). The primary purpose of PEDS is for identification of general developmental delays based on the parent/caregiver’s concerns. PEDS moderately identifies children with developmental risks (Glascoe, 2005). The ten-question tool is written at a fifth grade level, is available in multiple languages, and takes 2–5 min to complete and less than 1 min for a provider or staff member to score. The limitations of this instrument are also its strengths. As it relies on parental self-report on global areas of functioning, parents may over- or underestimate their child’s development. The validity of this tool is enhanced when corroborated with clinical observation and more specific information from a clinical interview.

Ages and Stages Questionnaire (ASQ). The ASQ is a more extensive developmental screening tool for children 4 months to 5 years. This questionnaire has a reading level that ranges from third to twelfth grade and is available in four languages—English, Spanish, French, and Korean. There are 35 items in four developmental domains: cognitive, motor, self-help, and language. The Social and Emotional (SE) portion is recommended for children who have an at-risk score on any of these four primary domains. It takes approximately 15 min for parents to complete, and medical assistants or support staff may score the survey. It has high rates of sensitivity and specificity (La Rosa, 2010). This is a more comprehensive screening tool than the PEDS and has been validated in large, diverse samples including underserved families and premature babies. The form varies for different ages, carries a nominal cost, and has an EHR version.

Implementation of PEDS or the ASQ is a billable service, and codes (CPT 96110-1) can be used for more extensive screening tools and interpretive reports. The Center for Medicare and Medicaid Service (CMS) has published a relative value unit (RVU) for these services; they do not reimburse directly for the ­clinician’s time but for office administration.


Specific Preschool Populations


Preschool children who are at biologic or environmental risk (e.g., prematurity, poverty) may require additional screening for language, speech, and autism spectrum disorders. If infants and preschoolers fail a developmental milestone based on the general screening tools, then health care providers can focus their assessment to language and/or behavioral/social development.

Checklist for Autism in Toddlers (CHAT/M-CHAT). As the rate the of children with autism spectrum disorders and pervasive developmental disorders continues to grow (Baird et al., 2000; Baron-Cohen et al., 2000; Filipek et al., 2000; Wallis & Pinto-Martin, 2008), the American Academy of Neurology and Child Neurology Society (Filipek et al., 2000) and AAP have suggested using the Checklist for Autism in Toddlers (CHAT) and the Modified Checklist for Autism in Toddlers (M-CHAT) (Baird et al., 2000; Baron-Cohen et al., 2000; Mawle & Griffiths, 2006). However, the CHAT has poor sensitivity and poor positive predictive value in primary care settings (Mawle & Griffiths; Robins, 2008). M-CHAT has limited evidence as a screening tool, but it has higher sensitivity and may be more useful in primary care settings as a secondary screening tool after the ASQ or PEDS (Robins). A positive result on these tools would indicate a referral to early assessment and intervention programs through EPSDT, the child health component of Medicaid. Follow-up assessments such as the Child Behavioral Checklist (CBCL) and the Eyberg Children Behavioral Inventory are more expensive and require advanced levels of training and education for providers to administer these clinical assessment tools appropriately.


School-Age Children


Difficulties with psychosocial functioning is one of the leading sources of problems among school-age children (Blanchard et al., 2006; Gardner, Kelleher, Pajer, & Campo, 2003; Pagano, Cassidy, Little, Murphy, & Jellinek, 2000), and, in fact, almost half of all parent concerns at well-child visits are related to psychosocial problems (Wren, Scholle, Heo, & Comer, 2003). Using standardized tools to assess psychosocial functioning in school-age children (5–17 years), however, is the exception rather than the rule in primary care settings (Gardner, Kelleher, & Pajer, 2002; Gardner et al., 2003; Lazarus, 1999). Fewer school-age children are screened, identified, and referred for follow-up care than infants to 5-year-olds due to time constraints, limited information on validated user-friendly screening tools, lack of available mental health services, and lack of reimbursement for these assessments (Badger, Robinson, & Farley, 1999; Gardner et al., 2003; Reijneveld, Vogels, Hoekstra, & Crone, 2006; Schonwald et al., 2009).

The latency years are, however, an ideal time frame for identifying warning signs for behavioral health risks that lead to adult mental health disorders. Approximately one in ten children have a mental health disorder that affects their daily functioning (Jellinek, Little, Murphy, & Pagano, 1995; Jellinek et al., 1999; Weitzman & Leventhal, 2006), and the prevalence rates of children with a behavioral health disorder ranges from 12 % to 27 % depending on economic and cultural factors. This is higher than the prevalence of asthma or other childhood health disorders, but behavioral health concerns are routinely under-identified in primary care settings (Weitzman & Leventhal; Wren et al., 2003). Detection is often missed when physicians do not use a standardized screening tool (Simonian & Tarnowski, 2001). Consequently, a number of newer screening tools for school-age children and adolescents have been developed to address under-detection in primary care settings. The following is a list of tools that are emerging as valid and reliable screening tools in primary care settings.

Pediatric Symptom Checklist (PSC/PSC-17). The Pediatric Symptom Checklist (PSC) is a brief, reliable measurement of psychosocial-emotional functioning (Borowsky et al., 2003; Gardner et al., 2003; Gardner, Lucas, Kolko, & Campo, 2007; Jellinek et al., 1999; Jutte, Burgos, Mendoza, Ford, & Huffman, 2003; Murphy et al., 1996; Stoppelbein, Greening, Moll, Jordan, & Suozzi, 2012; Wren, Bridge, & Birmaher, 2004; Wren et al., 2003). The PSC is a one-page 35-question parent rating of a broad range of children’s emotional and behavioral problems. It has a shorter version, PSC-17, and a youth self-report version for ages 11 through 17. The PSC and PCS-17 are validated for general use and for specific ethnic subgroups in the USA, including the Latino population (Stoppelbein et al., 2012; Jutte et al., 2003; Leiner, Puertas, Caratachea, Perez, & Jimenez, 2010; Kostanecka et al., 2008; Pagano et al., 2000).

This tool has three subscale scores: Internalizing, Attention, and Externalizing behaviors, which assess a school-age child’s daily functioning (Hayutin et al., 2009). A patient with scores within a clinical range should be referred for more in-­depth assessment and treatment by trained behavioral health clinicians—physicians, psychologists, and social workers.


Specific School-Age Populations


Attention Deficit Disorder. Children who show signs of Attention Deficit Disorder (ADD) are commonly referred to their primary care provider for assessment. ADD and ADHD (Attention Deficit Hyperactivity Disorder) are the most common neurobiological disorders in this age group with a prevalence of 5.5–9.3 % in the general pediatric population and 11.8 % in boys (2008). The two most commonly used screening tools in primary care for these conditions are the Vanderbilt and the Connors rating scales (Langberg, Froehlich, Loren, Martin, & Epstein, 2008; Wasserman et al., 1999).

Connors Rating Scale (CRS). The Connors rating scale, with strong psychometric properties, measures hyperactivity in children and adolescents. The Connors test is an initial step in the more complex evaluation and examination of someone with ADHD. This scale solicits input from three entities: parents, teachers, and youth self-report. Completing an ADHD Connors test takes from 5 to 30 min, depending on the short or long version of the test. Long versions of the Connors ratings scales have about 60–90 questions, while the short versions have less than 30 questions. In addition to helping diagnose ADD/ADHD, the Connors test can be used in follow-up examinations and evaluation of treatment effectiveness. Connors rating scales are not available to the general public, as they can only be purchased by qualified buyers.

Vanderbilt ADHD. The Vanderbilt is a family of screening tools for ADD and ADHD including a Parent, Teacher, and Primary Care provider forms. The AAP, Bright Futures, and NIQH recommend these tools for ADD/ADHD evaluations. It is easy to complete, designed for a third grade reading level, and has simple scoring instructions, which are consistent with the DSM-IV diagnosis. This questionnaire also functions as a screen for common comorbid conditions such as learning disabilities, depression, anxiety, and oppositional defiant disorder (Langberg et al., 2008) and works well with various populations, including parents with low reading levels. The sensitivity and specificity of these measures, however, have not yet been determined in primary care settings.

Family Psycho-social Screening. Since children’s development is so closely linked to the family risk factors, screening for the level of family functioning is another area that needs to be considered in primary care. However, family functioning is rarely assessed in a systematic way in primary care settings (Gardner et al., 2001; Reitman, Currier, & Stickle, 2002). For example, the Parenting Stress Index (PSI) or its shorter PSI-S version, has strong psychometric properties for diverse cultural groups and has demonstrated utility in mental health programs, but reliability and validity in primary care settings has not been established. This screening could be beneficial for identifying the social determinants of a child’s health, but a strong referral and follow-up system of care needs to be established for an effective family screening protocol (Gardner et al. 2001; Voigt et al., 2009).


Adolescent Screening Tools



Adolescents


Depression Screening for Children and Adolescents. The USPSTF recommends screening of adolescents (12–18 year olds) for major depressive disorder (MDD); however, the current evidence is insufficient to assess the benefits and harm of screening children who are younger (7–11-year-olds) (Williams, O’Connor, Eder, & Whitlock, 2009). The prevalence of MDD among adolescents is estimated at 5.6 % with a higher prevalence among girls than boys (5.9 vs. 4.6 %) and a lifetime prevalence of 20 %. Depressed youth have more difficulties in academic performance, social relationships, higher rates of pregnancy, substance abuse, physical illness and suicide, which is the third leading cause of death for 15–24-year-olds (Rausch, Hametz, Zuckerbrot, Rausch, & Soren, 2012; U.S. Preventive Services Task Force, 2010) (Williams et al., 2009).

USPTF’s screening recommendation is based on sufficient evidence that early treatment of depression in adolescents is effective in improving health outcomes, but only when systems are in place to ensure accurate diagnosis, psychotherapy, and follow-up (Rausch et al., 2012; Williams et al., 2009). The benefits of early intervention on improving health outcomes or cost-effectiveness are still lacking (Sanci, Lewis, & Patton, 2010). Even when screening detects mental disorders, other factors such as readiness for care and availability of effective treatments may affect health outcomes and adolescents’ engagement with treatment. The best results are obtained when screening is linked to integrated models of direct patient care and management systems. The USPTF recommends two instruments that demonstrate good sensitivity and specificity for identifying adolescents at risk for MDD in primary care settings: Patient Health Questionnaire-A (PHQ-A) and the Beck Depression Inventory-PC (BDI-PC).

Patient Health Questionnaire—Adolescent. PHQ-A is a derivative of the PHQ-9, a depression screening for adults, and also has nine questions with a moderate sensitivity and a high specificity for the adolescent population. A handful of studies have narrowed the PHQ-9 screening to two questions for adolescents, which has low to moderate rates of sensitivity and specificity (Borner, Braunstein, Victor, & Pollack, 2010; Richardson et al., 2010). As such, this brief screening measure may be more effective for identifying youth who are not at risk of depression than specifying who is at risk (Borner et al., 2010)

Beck’s Depression Inventory—Primary Care. BDI-PC is a ten-item brief assessment of depression and has high rates of sensitivity and specificity with an adolescent population (Winter, Steer, Jones-Hicks, & Beck, 1999).

The Guidelines for Adolescent Depression in Primary Care. GLAD-PC is a resource for depression screening tools in primary care settings (Winter et al., 1999; Zuckerbrot & Jensen, 2006; Zuckerbrot, Cheung, Jensen, Stein, & Laraque 2007; Zuckerbrot, Maxon et al., 2007). These provide guidelines for providers and offer recommendations for screening, diagnosis, and treatment of depression and dysthymia in adolescents aged 10–21. The website provides a range of tools such as the Columbia Depression Scale (Teen Version), the Parent-Young Mania Rating Scale, Mood and Feelings Questionnaire, and Anxiety Sensitivity Index.

The Guidelines for Adolescent Preventative Services Questionnaire. The GAPS is a 72-item checklist that screens for risk behaviors (e.g., substance abuse, violence) and mood disorders (e.g., hopelessness, suicidal thoughts) (Elster & Kuznets, 1994), as well as three semi-structured questions on the adolescents’ form on strengths and self-concept. This form has not been formally evaluated for sensitivity or specificity in primary care settings.

There are several other assessment tools for youth such as the Rapid Assessment for Adolescent Preventive Services (RAAPS). The RAAPS screening tool was uniquely developed with a wide base of youth input (Salerno, Marshall, & Picken, 2012), which has Internet compatibilities. CRAFFT, a mnemonic acronym for car, relax, alone, forget, friends, trouble, is a behavioral health substance abuse screening tool for use with adolescents under age 21 (Hamrin, 2010; Hamrin, Antenucci, & Magorno, 2012), and Home, Education, Activities, Drugs, Sexuality and Suicide/Depression (HEADSS), which is a familiar clinical interviewing protocol for primary care providers to screen adolescent’s psychosocial development, have no published studies on the reliability and validity of this approach in identifying MDD or other mental health disorder in adolescents (Zuckerbrot, Maxon et.al, 2007).


Adult Screening Tools


Like pediatric screening tools, screening tools for adults should be focused on identifying modifiable or treatable disorders or conditions and identifying adults who could benefit from behavioral health strategies. In addition to the recommendations of the USPSTF, other organizations, like the Veterans Administration of the Department of Defense, the American Psychology Association, and the American Psychiatric Association, are developing guidelines for screening (Cook, Freedman, Freedman, Arick, & Miller, 1996; Engel et al., 2008). In 2009, the National Network of Depression Centers was organized to address the need for consistency in assessing and evaluating behavioral health and specifically depression in health care settings. This multi-professional group has identified a common assessment package of nine tools to measure mental health “vital signs.” The purpose of this group has been to develop a standard core of assessment scales, to understand what they mean in the primary care setting, to use them regularly in clinical practice, and to use the information to facilitate communication about patient care within multidisciplinary teams (see Table 12.3 for examples).


Table 12.3
Brief screening tools

















































































HEADSS:

H: Home and family
 
E: Education
 
A: Activities
 
D: Drugs
 
S: Sexual activity S: suicide/support

CRAFFT

C—Have you ever ridden in a CAR driven by someone (including yourself) who was “high” or had been using alcohol or drugs?
 
R—Do you ever use alcohol or drugs to RELAX, feel better about you, or fit in?
 
A—Do you ever use alcohol/drugs while you are by yourself, ALONE?
 
F—Do you ever FORGET things you did while using alcohol or drugs?
 
F—Do your family or FRIENDS ever tell you that you should cut down on your drinking or drug use?
 
T—Have you gotten into TROUBLE while you were using alcohol or drugs?

AUDIT-C

1. How often did you have a drink containing alcohol in the past year?
 
2. How many drinks did you have on typical day when you were drinking in the past year?
 
3. How often did you have five or more drinks on one occasion in the past year?

CAGE

C: Have you ever felt the need to Cut down on drinking?
 
A: Have you ever felt Annoyed by criticism of you drinking?
 
G: Have you ever had Guilty feelings about your drinking?
 
E: Do you ever take a morning Eye opener?

Patient Health Questionaire-2: PHQ-2

In the last 2 weeks,
 
1. Have you often been bothered by feeling down, depressed or hopeless?
 
2. Have you often been bothered by little interest or pleasure in doing things?

Generalized Anxiety Disorder-2: GAD-2

Over the last 2 weeks were you bothered by,
 
1. Feeling nervous, anxious, or on edge and,
 
2. Not being able to stop or control worrying?

Post Traumatic Stress Disorder: PTSD

In your life, have you ever had any experience that was so frightening, horrible, or upsetting that, in the past month, you…

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Jun 17, 2017 | Posted by in PSYCHOLOGY | Comments Off on Screening Measures in Integrated Behavioral Health and Primary Care Settings

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