The Contraceptive Utilities, Intention, and Knowledge Scale (CUIKS)<\/strong> is an integrative psychometric instrument developed by Larry Condelli<\/a> (1984, 1986) to evaluate the cognitive, normative, utility-based, and informational determinants of reproductive health behavior among women. Grounded in a synthesis of major social psychological frameworks\u2014specifically the Health Belief Model<\/a> (Rosenstock, 1974), the Theory of Reasoned Action<\/a> (Fishbein & Ajzen, 1975), and Luker\u2019s (1975) model of contraceptive risk-taking\u2014the CUIKS evaluates how subjective pregnancy susceptibility, perceived severity, perceived method utilities (convenience, effectiveness, and adverse side-effect profiles), subjective social norms, behavioral intentions, and empirical knowledge interact to guide contraceptive decision-making and consistency of practice.<\/p>\n The instrument comprises three distinct components: Part One (9 items) assesses baseline risk perceptions, behavioral intention, current method selection, pregnancy valence\/severity, and subjective normative support across four contraceptive modalities (condoms\/foam, diaphragm, intrauterine devices [IUDs], and oral contraceptive pills); Part Two (16 items) measures comparative method utilities, including perceived effectiveness, convenience, and apprehension regarding minor and major side effects; and Part Three consists of an objective multiple-choice knowledge assessment divided into an 8-item general reproductive biology\/contraception subscale and a 4-item method-specific subscale tailored to the respondent\u2019s chosen birth control method. Psychometric evaluation in a clinical cohort of 632 women demonstrated adequate reliability for the knowledge assessment (Kuder-Richardson 20 = .62) and robust longitudinal criterion-related validity. Prospective regression analyses over a 6-month interval revealed significant predictive utility across behavioral outcomes, including unprotected intercourse<\/span> ($R = .21$<\/span>), method adherence frequency ($R = .36$<\/span>), duration of unprotected sexual activity ($R = .42$<\/span>), and clinical use-effectiveness ($R = .38$<\/span>), while discriminant function analysis correctly differentiated between contraceptive method adopters with over 60% explained variance.<\/p>\n Contraceptive Utilities Intention and Knowledge Scale, CUIKS, Health Belief Model, contraceptive decision-making, reproductive health psychometrics, contraceptive adherence, perceived susceptibility, subjective norms, sexual health education, family planning assessment.<\/p>\n The Contraceptive Utilities, Intention, and Knowledge Scale was developed and validated by Larry Condelli, Ph.D.<\/strong><\/p>\n The primary purpose of the Contraceptive Utilities, Intention, and Knowledge Scale (CUIKS) is to provide an empirically rigorous, multidimensional diagnostic instrument for assessing the psychological, social, and cognitive factors that govern female contraceptive selection, compliance, and risk-taking behavior. Unintended pregnancy remains a major public health challenge worldwide, often arising not merely from structural barriers or the absence of contraceptive technology, but from complex psychosocial dynamics, erroneous risk appraisals, informational deficits, and negative method evaluations. The CUIKS was engineered to systematically identify these cognitive drivers within family planning clinics, primary care settings, and epidemiological research programs.<\/p>\n Clinically, the CUIKS functions as an actionable intake and counseling tool. By assessing a client’s baseline knowledge, perceived severity of unintended pregnancy, anticipated peer\/partner support, and comparative evaluations of contraceptive convenience and side effects, healthcare providers can tailor patient-centered counseling. For instance, if an individual exhibits high perceived susceptibility to pregnancy but harbors exaggerated fears regarding oral contraceptive side effects or experiences subjective norm opposition from primary social referents, clinicians can address these specific barriers directly rather than offering generic health guidance.<\/p>\n In research contexts, the CUIKS serves as a validated platform to test unified behavioral decision models. It bridges the gap between purely rationalist cognitive models (which assume individuals always select the medically most effective method) and psychodynamic or situational models (which emphasize interpersonal conflict, ambivalence toward pregnancy, and spontaneous risk-taking). By quantitatively measuring subjective expected utility alongside factual comprehension, the CUIKS enables researchers to examine the causal pathways linking health beliefs to long-term behavioral adherence.<\/p>\n The CUIKS evaluates a multidimensional construct combining health cognitions, subjective utilities, normative pressures, behavioral commitment, and factual literacy. Each subscale maps onto discrete psychological domains:<\/p>\n Perceived susceptibility captures an individual\u2019s subjective appraisal of biological vulnerability to conception under varying conditions. Rather than assessing vulnerability as a static trait, the CUIKS measures it as a conditional probability: first, under the assumption of complete non-use of contraception, and second, under the assumption of sustained use of the individual’s chosen method. Discrepancies between these two items measure the respondent’s perceived marginal protection afforded by her method.<\/p>\n Perceived severity assesses the emotional, psychological, and social valence assigned to an unintended conception occurring within a 12-month horizon. Evaluated on a 7-point bipolar affective continuum ranging from catastrophic (“the worst thing that could happen”) to profoundly positive (“the best thing that could happen”), this dimension reflects pregnancy ambivalence, reproductive readiness, and motivational commitment to pregnancy prevention.<\/p>\n Rooted in the Fishbein-Ajzen formulation<\/a>, behavioral intention represents the subjective probability that a person will exert conscious effort to perform a target behavior. In the CUIKS, intention is measured as the subjective likelihood of deploying the chosen contraceptive method consistently at every act of sexual intercourse over a one-year period.<\/p>\n Subjective norms reflect the perceived social expectations and approval of significant reference figures (e.g., romantic partners, peers, family members). The CUIKS captures method-specific normative climate by assessing whether significant others would actively encourage, remain neutral, or actively discourage the use of four specific contraceptive modalities: condoms\/foam, diaphragm, intrauterine devices, and oral contraceptives.<\/p>\n The utility construct models contraceptive decision-making as a balance of functional benefits versus tangible costs. The scale breaks utilities down into three domains across methods: perceived contraceptive effectiveness (the subjective capacity of the method to prevent pregnancy), perceived convenience (the ease of administration versus logistical friction or sexual disruption), and side-effect apprehension (divided into fear of minor physiological disturbances versus fear of major, life-threatening medical pathologies).<\/p>\n The cognitive knowledge construct reflects empirical literacy regarding reproductive biology and contraceptive mechanisms. General knowledge covers menstrual timing, ovulation windows, fertile periods, sperm longevity, and broad user dynamics. Method-specific knowledge assesses technical mastery of one’s chosen contraceptive, such as retention requirements, medical contraindications, warning signs of systemic complications, and proper administration protocols.<\/p>\n The CUIKS is grounded in an integration of three foundational social psychological paradigms:<\/p>\n First, Irwin Rosenstock’s (1974) Health Belief Model (HBM)<\/a> posits that health-protective action is triggered when an individual perceives a high subjective vulnerability to an adverse medical outcome (perceived susceptibility), views that outcome as having serious physiological or social repercussions (perceived severity), and determines that the net benefits of taking protective action outweigh the psychological, physical, or financial costs (barriers). Condelli (1984, 1986) adapted this framework by treating unintended pregnancy as the focal health event and contraceptive side effects or inconvenience as the primary barriers.<\/p>\n Second, Kristin Luker’s (1975) model of contraceptive risk-taking<\/a> provides an economic and phenomenological perspective on reproductive decision-making. Luker argued that non-contraception is frequently a structured decision rather than an accidental oversight. Individuals engage in continuous cost-benefit appraisals where the subjective costs of contraception (e.g., admitting sexual activity, planning ahead, medical side effects, partner disapproval) are weighed against the perceived probability and subjective costs of pregnancy. Condelli integrated this model by including comparative method ratings that assess both minor inconveniences and major health fears.<\/p>\n Third, Martin Fishbein<\/a> and Icek Ajzen’s (1975) Theory of Reasoned Action (TRA)<\/a> demonstrates that the most immediate cognitive precursor to behavior is behavioral intention. This intention is jointly determined by an individual’s personal attitude toward performing the act and subjective norms\u2014the perceived social pressure from meaningful referents. In the CUIKS, the normative component is evaluated alongside individual utility estimates to predict both the selection of a specific birth control method and the consistency with which it is deployed over time.<\/p>\n The psychometric validity of the CUIKS was established by Condelli (1984, 1986) through clinical field studies and longitudinal behavioral follow-up designs conducted at outpatient family planning facilities.<\/p>\n To evaluate predictive validity, Condelli (1984) tracked a sample of women over a prospective 6-month longitudinal window following their initial completion of the CUIKS at a family planning intake appointment. Contraceptive performance was assessed across four criteria: incidence of unprotected intercourse, frequency of chosen method adherence, total duration of sexually active periods without contraceptive coverage, and actual use-effectiveness. Multiple regression models using baseline CUIKS dimensions (Items 1, 5, 6, 7, and 8) demonstrated statistically significant predictive relationships across all behavioral markers:<\/p>\n The construct validity of the CUIKS was further confirmed through discriminant function analysis examining method selection (Condelli, 1986). The scale distinguished between women who elected to use oral contraceptive pills versus those who selected barrier methods (the diaphragm). The discriminant model accounted for over 60% of the variance<\/strong> between user cohorts. Women who selected oral contraceptives were characterized by distinct psychometric profiles: they rated the diaphragm as significantly more inconvenient, viewed the pill as having superior convenience, reported lower apprehension regarding oral contraceptive systemic side effects, exhibited higher perceived susceptibility to pregnancy if non-contracepting, and scored lower on the contraceptive knowledge assessment compared to diaphragm choosers.<\/p>\n The reliability parameters of the CUIKS were calculated from a validation cohort of 632 women attending a suburban reproductive healthcare facility (Condelli, 1984, 1986). The sample reflected broad demographic, socioeconomic, and educational diversity.<\/p>\n During the structural validation of the CUIKS, the psychometric architecture was examined to determine whether attitudinal ratings, normative indices, and perceived utilities functioned as distinct empirical factors or collapsed into a generalized evaluation of birth control:<\/p>\n The Contraceptive Utilities, Intention, and Knowledge Scale was developed in 1984 as part of doctoral research at the University of California, Santa Cruz, and formally published in 1986 in the Journal of Sex Research<\/em>. In accordance with the author’s publication agreement and open-science principles, the CUIKS is in the public domain for academic, clinical, and non-commercial research purposes<\/strong>.<\/p>\n Researchers and healthcare clinicians may duplicate, administer, and adapt the scale without paying licensing fees or royalties, provided appropriate bibliographic citation is accorded to Dr. Larry Condelli. For formal inquiries regarding institutional use, large-scale clinical trials, or derivative modifications, correspondence may be directed to Larry Condelli, Ph.D., American Institutes for Research, 1000 Thomas Jefferson Street NW, Washington, DC 20007 (E-mail: Keywords<\/h2>\n
Authors<\/h2>\n
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LCondelli@air.org<\/code>.<\/li>\n<\/ul>\nPurpose<\/h2>\n
Psychological Construct<\/h2>\n
1. Perceived Susceptibility to Pregnancy<\/h3>\n
2. Perceived Severity of Pregnancy<\/h3>\n
3. Behavioral Intention<\/h3>\n
4. Subjective Normative Support<\/h3>\n
5. Perceived Contraceptive Utilities (Effectiveness, Convenience, Side-Effect Apprehension)<\/h3>\n
6. General and Method-Specific Contraceptive Knowledge<\/h3>\n
Theoretical Framework<\/h2>\n
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Validity<\/h2>\n
Criterion and Predictive Validity<\/h3>\n
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Discriminant and Construct Validity<\/h3>\n
Reliability<\/h2>\n
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Factor Analysis<\/h2>\n
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Instrument \/ Measurement Tool<\/h2>\n
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Permissions & Fee and Test Year<\/h2>\n
LCondelli@air.org<\/code>).<\/p>\nReferences<\/h2>\n
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13. Items of the Scale (Questionnaire)<\/h2>\n