Taina Pitkäaho

How to ask about patient satisfaction? The visual analogue scale is less vulnerable to confounding factors and ceiling effect than a symmetric Likert scale

AIMS To study the effects of scale type (visual analogue scale vs. Likert), item order (systematic vs. random), item non-response and patient-related characteristics (age, gender, subjective health, need for assistance with filling out the questionnaire and length of stay) on the results of patient satisfaction surveys. BACKGROUND Although patient satisfaction is one of the most intensely studied issues in the health sciences, research information about the effects of possible instrument-related confounding factors on patient satisfaction surveys is scant. DESIGN A quasi-experimental design was employed. A non-randomized sample of 150 surgical patients was gathered to minimize possible alterations in care quality. METHODS Data were collected in May-September 2014 from one tertiary hospital in Finland using the Revised Humane Caring Scale instrument. New versions of the instrument were created for the present purposes. In these versions, items were either in a visual analogue format or Likert-scaled, in systematic or random order. The data were analysed using an analysis of covariance and a paired samples t-test. RESULTS The visual analogue scale items were less vulnerable to bias from confounding factors than were the Likert-scaled items. The visual analogue scale also avoided the ceiling effect better than Likert and the time needed to complete the visual analogue scale questionnaire was 28% shorter than that needed to complete the Likert-scaled questionnaire. CONCLUSION The present results supported the use of visual analogue scale rather than Likert scaling in patient satisfaction surveys and stressed the need to account for as many potential confounding factors as possible.

Data-based nurse staffing indicators with Bayesian networks explain nurse job satisfaction: a pilot study.

AIM This paper is a report of a pilot study to examine the relationship of nursing intensity, work environment intensity and nursing resources to nurse job satisfaction. BACKGROUND There is an ever increasing amount of information in hospital information systems; however, still very little of it is actually used in nursing management and leadership. METHODS The combination of a retrospective time series and cross-sectional survey data was used. The time series patient data of 9704 in/outpatients and nurse data of 110 nurses were collected from six inpatient units in a medical clinic of a university hospital in Finland in 2006. A unit-level measure of nurse job satisfaction was collected with a survey (n = 98 nurses) in the autumn of 2006. Bayesian networks were applied to examine a model that explains nurse job satisfaction. RESULTS In a hospital data system, 18 usable nurse staffing indicators were identified. There were four nurse staffing indicators: patient acuity from nursing intensity subgroup, diagnosis-related group volume from work environment subgroup, and skill mix and nurse turnover from nursing resources subgroup that explained the likelihood of nurse job satisfaction in the final model. The Bayesian networks also revealed the elusive non-linear relationship between nurse job satisfaction and patient acuity. CONCLUSION Survey-based information on nurse job satisfaction can be modelled with data-based nurse staffing indicators. Nurse researchers could use the Bayesian approach to obtain information about the effects of nurse staffing on nursing outcomes.

Meta-analysis: methodological confounders in measuring patient satisfaction:

The study aimed to identify methodological confounding factors affecting patient satisfaction survey results. The data gathered from CINAHL and PubMed databases consisted of 355 surveys published from 2006 to 2012. Linear regression and Bayesian models, with seven potential survey-related confounders together with patient age and gender as explanatory variables, were constructed. According to the linear model, up to 12% of the original variation in patient satisfaction was explained by confounding variables, not by the actual variation in satisfaction. The presence of an interviewer resulted in lower satisfaction levels, and the satisfaction results correlated negatively with the number of items in the questionnaire. According to the Bayesian model, if patients were over 60 years old and the questionnaire consisted mainly of positively phrased items, the probability of rating their experiences as very satisfied was 75%. The Bayesian and linear models endorsed each other and revealed specifically that the surveys reporting high patient satisfaction could be predicted on the basis of confounding variables. The following recommendations are given for constructing a patient satisfaction survey: use neutral rather than negatively or positively phrased items, and use enough items to increase the likelihood that the least satisfactory care components are also included in order to better enable comparisons across sporadic surveys.

The relationship between nurse staffing and length of stay in acute-care: a one-year time-series data

AIM To examine the relationship between nurse staffing and patient length of stay in an acute-care hospital over a 1-year period. BACKGROUND Although there has been prior research on the relationship between nurse staffing and length of stay in acute-care hospitals, there is a need for more information on how nurse staffing is related to length of stay longitudinally. METHODS Retrospective time-series registry data from 20 acute-care inpatient units of a Finnish university hospital as a monthly time series in 2008 were analysed by linear mixed models. RESULTS The ratio of registered nurses to all nurses was 72.4%. Nurses worked mainly (96%) full time, and 63% had permanent employment contracts. Statistically significant variation was found in time series of five variables. Statistically significant relationships were found between length of stay and patient acuity, diagnosis-related group-volume, census and nursing hours per patient day at the unit level. Nursing hours per patient day had the strongest correlation with length of stay. CONCLUSION AND IMPLICATIONS FOR NURSING MANAGEMENT A rational response to the variations in patient care needs and intensity in the complex care environment is flexible nurse staffing. Increasing nursing hours per patient day to achieve shorter length of stays is not the only solution, well-functioning care processes are also essential.

Spousal Presence as a Nonpharmacological Pain Management during Childbirth: A Pilot Study

Background. Measures of spousal effect during parturient pain should take a tripartite approach involving the parturients, spouses, and midwives. Aim. To develop and validate three questionnaires measuring spousal presence in management of parturient pain in Nigeria. Methods. There are two phases: (1) development of questionnaires, Abuja Instrument for Midwives (AIM), Abuja Instrument for Parturient Pain (AIPP), and Abuja Instrument for Parturient Spouses (AIPS), utilizing literatures, Kuopio instrument for fathers (KIF) and expertise of health professionals, and (2) pilot study to validate the questionnaires which were administered in two hospitals in Nigeria: midwives (n = 10), parturients (n = 10), and spouses (n = 10).  Results. Internal consistency for the three questionnaires indicated Cronbachs alpha coefficient of 0.789 (AIM), 0.802 (AIPP), and 0.860 (AIPS), while test-retest reliability was r = 0.99 (AIM), r = 0.99 (AIPP), and r = 0.90 (AIPS). Conclusions. AIM, AIPP, and AIPS provide a means of investigating the effectiveness of spousal presence in management of parturient pain in Nigeria. However, further testing of each instrument is needed in a larger population to replicate the beneficial findings of AIMS, AIPP, and AIPS which can contribute rigor to future studies.

Women’s perceptions of spousal relevance in childbirth pain relief in four Nigerian hospitals

• Spousal presence is perceived by women as positively contributing to childbirth pain relief.

Spouses Perspective of their Participation and Role in Childbirth Pain Relief

Background: Childbirth is a period characterized by severe pain, and most women desire to ameliorate their pain among other things by having their spouses present and involved in the birthing process. In developing countries like Nigeria, spousal involvement is still an emerging concept in childbirth. Aim: To investigate and provide an insight into spousal perceptions toward their participation and role in labor pain relief during childbirth in Nigeria. Subjects and Methods: A cross-sectional descriptive study of 142 spouses was conducted in the maternity units of four hospitals in Abuja, Nigeria, from June to December 2014. Data were collected through a pretested interview-administered 24 item questionnaire, the Abuja Instrument for Parturient Spouse. The data were analyzed statistically using Chi-square test for association between the variables and content analysis for open-ended questions. Results: Most (94.4%, 134/142) of the spouses had a positive perception toward labor pain relief. They believed that their presence and activities contributed to labor pain relief and are willing to be present at subsequent births. Conclusion: Findings in this study have revealed a positive trend in spousal perception and involvement during childbirth and pain relief, as contrast to the prevailing assumption that childbirth is an exclusive woman affair. Spousal presence during childbirth can be beneficial not only to the woman but also to the spouse and family.