Transforming variables before analysis or applying a transformation as a part of a generalized linear model are common practices in organizational research. Several methodological articles addressing the topic, either directly or indirectly, have been published in the recent past. In this article, we point out a few misconceptions about transformations and propose a set of eight simple guidelines for addressing them. Our main argument is that transformations should not be chosen based on the nature or distribution of the individual variables but based on the functional form of the relationship between two or more variables that is expected from theory or discovered empirically. Building on a systematic review of six leading management journals, we point to several ways the specification and interpretation of nonlinear models can be improved.

IntroductionNowadays, an important decision for pregnant women is whether to undergo prenatal testing for aneuploidies and which tests to uptake. We investigate the factors influencing women’s choices between non-invasive prenatal testing (NIPT) and invasive prenatal tests in pregnancies with elevated a priori risk of fetal aneuploidies.MethodologyThis is a mixed-method study. We used medical data (1st Jan 2015-31st Dec 2015) about women participating in further testing at Fetomaternal Medical Center at Helsinki University Hospital and employed Chi-square tests and ANOVA to compare the groups of women choosing different methods. Multinomial logistic regressions revealed the significant clinical factors influencing women’s choice. We explored the underlying values, beliefs, attitudes and other psychosocial factors that affect women’s choice by interviewing women with the Theory of Planned Behavior framework. The semi-structured interview data were processed by thematic analysis.ResultsStatistical data indicated that gestational age and counseling day were strong factors influencing women’s choice. Interview data revealed that women’s values and moral principles on pregnancy and childbirth chiefly determined the choices. Behavioral beliefs (e.g. safety and accuracy) and perceived choice control (e.g. easiness, rapidness and convenience) were also important and the major trade-offs happened between these constructs.DiscussionValues are the determinants of women’s choice. Service availability and convenience are strong factors. Medical risk status in this choice context is not highly influential. Choice aids can be developed by helping women to identify their leading values in prenatal testing and by providing lists of value-matching test options and attributes.

BackgroundPopulation-based prenatal screening has become a common and widely available obstetrical practice in majority of developed countries. Under the patient autonomy principle, women should understand the screening options, be able to take their personal preferences and situations into account, and be encouraged to make autonomous and intentional decisions. The majority of the current research focuses on the prenatal screening uptake rate, women’s choice on screening tests, and the influential factors. However, little attention has been paid to women’s choice-making processes and experiences in prenatal screening and their influences on choice satisfaction. Understanding women’s choice-making processes and experiences in pregnancy and childbirth is the prerequisite for designing women-centered choice aids and delivering women-centered maternity care. This paper presents a pilot study that aims to investigate women’s experiences when they make choices for screening tests, quantify the choice-making experience, and identify the experiential factors that affect women’s satisfaction on choices they made.MethodWe conducted a mixed-method research at Helsinki and Uusimaa Hospital District (HUS) in Finland. First, the women’s choice-making experiences were explored by semi-structured interviews. We interviewed 28 women who participated in prenatal screening. The interview data was processed by thematic analysis. Then, a cross-sectional self-completion survey was designed and implemented, assessing women’s experiences in choice-making and identifying the experiential factors that influence choice satisfaction. Of 940 distributed questionnaires, 185 responses were received. Multivariable linear regression analysis was used to detect the effects of the variables.ResultsWe developed a set of measurements for women’s choice-making experiences in prenatal screening with seven variables: activeness, informedness, confidence, social pressure, difficulty, positive emotion and negative emotion. Regression revealed that activeness in choice-making (β = 0.176; p = 0.023), confidence in choice-making (β = 0.388; p < 0.001), perceived social pressure (β = − 0.306; p < 0.001) and perceived difficulty (β = − 0.274; p < 0.001) significantly influenced women’s choice satisfaction in prenatal screening.ConclusionsThis study explores the experiential dimension of women’s choice-making in prenatal screening. Our result will be useful for service providers to design women-centered choice environment. Women’s willingness and capabilities of making active choices, their preferences, and social reliance should be well considered in order to facilitate autonomous, confident and satisfying choices.Electronic supplementary materialThe online version of this article (10.1186/s12884-018-1752-y) contains supplementary material, which is available to authorized users.

Application of value-based healthcare policies affects all actors in social and health care field, including the Digital Health Intervention (DHI) providers aiming to enter the industry or expand their market. Apparent lack of fit between evidence and expectations inhibits the growth of DHI companies. The companies need efficient and credible methods to access and demonstrate the value of their DHIs. Building on the stage-of-maturity logic presented in World Health Organization’s (WHO) guide of monitoring and evaluating digital health interventions and Context-Intervention-Mechanism-Outcome (CIMO) logic, we provide a potential approach for DHI companies to assess the evidence needed in their current situation. The proposed approach takes into account the company’s future development goals and the business environment, reflecting for every stage of technology maturity according to the WHO guidelines and through the CIMO lens. The focus is on specific intervention and its fit for different organizational and national contexts. The solution guides the research process of the company to understand which evidence-gathering topics should be addressed. This evidence can be beneficial for companies to enter into, occupy, expand or sustain in the domestic or international market.

Maternal age was not a strong factor affecting women's choice for prenatal further tests. Medical indications and risk scores have less influence than previously thought. Gestational age and service availability were strong factors. © 2016 John Wiley & Sons, Ltd.