Ronny Kuhnert

Mixture models for capture-recapture count data

The contribution investigates the problem of estimating the size of a population, also known as the missing cases problem. Suppose a registration system is targeting to identify all cases having a certain characteristic such as a specific disease (cancer, heart disease, ...), disease related condition (HIV, heroin use, ...) or a specific behavior (driving a car without license). Every case in such a registration system has a certain notification history in that it might have been identified several times (at least once) which can be understood as a particular capture-recapture situation. Typically, cases are left out which have never been listed at any occasion, and it is this frequency one wants to estimate. In this paper modelling is concentrating on the counting distribution, e.g. the distribution of the variable that counts how often a given case has been identified by the registration system. Besides very simple models like the binomial or Poisson distribution, finite (nonparametric) mixtures of these are considered providing rather flexible modelling tools. Estimation is done using maximum likelihood by means of the EM algorithm. A case study on heroin users in Bangkok in the year 2001 is completing the contribution.

Prescribing of inappropriate medication in nursing home residents in Germany according to a French consensus list: a cross-sectional cohort study

The current use of inappropriate medication in elderly nursing home residents (NHRs) in Germany is unclear. We therefore set out to analyse the frequency and patterns of potentially inappropriate drug prescriptions in elderly NHRs in Germany.

Nonpharmacologic Pain Management Interventions in German Nursing Homes: A Cluster Randomized Trial

The reported prevalence of pain among nursing home residents (NHRs) is high. Insufficient use of analgesics, the conventional pain management strategy, is often reported. Whether and to what extent nonpharmacologic therapies (NPTs) are used to manage the pain of NHRs in Germany is largely unknown. The aim of this cluster-randomized trial was to assess the NPTs provided and to enhance the application and prescription of NPTs in NHRs on an individual level. There were six nursing homes in the intervention group and six in the control group. There were 239 NHRs, aged ≥65 years, with an average Mini-Mental State Examination score of at least 18 at baseline. Pain management interventions (cluster level) included an online course for physicians and 1-day seminar for nurses. Data on NPT applied by nurses and therapeutic NPT prescribed by physicians were obtained from residents nursing documentation. Face-to-face interviews with NHRs assessed the NPT received. At baseline, 82.6% of NHR (mean age 83 years) were affected by pain, but less than 1 in 10 received NPT. The intervention did not result in a significant increase in the NPT applied by nurses, but did significantly increase the therapeutic NPT prescribed by physicians. Residents were active in using NPT to self-manage their pain. Given the prevalence of pain in NHRs, there is a clear need to improve pain management in this population. Extended use of NPT offers a promising approach. We recommend that nurses provide residents with education on pain-management techniques to support them in taking a proactive role in managing their pain.

Interventions to address deficits of pharmacological pain management in nursing home residents – A cluster-randomized trial

To evaluate the effect of interventions for general practitioners and nursing home staff to improve pain severity and appropriateness of pain medication in nursing home residents (NHR).

Pain management intervention targeting nursing staff and general practitioners: Pain intensity, consequences and clinical relevance for nursing home residents

Although chronic pain is common in older adults, its treatment is frequently inappropriate. This problem is particularly prevalent in nursing home residents. We therefore developed an intervention to optimize pain management and evaluated its effects on pain intensity and pain interference with function in nursing home residents in Germany.

Validation of a Modified German Version of the Brief Pain Inventory for Use in Nursing Home Residents with Chronic Pain

UNLABELLEDnThe Brief Pain Inventory (BPI) has been psychometrically evaluated worldwide in adult patients with cancer-related and chronic pain in several languages, but never in nursing home residents with chronic pain. To address this gap, we evaluated the validity of a modified version of the BPI, the BPI for nursing home residents (BPI-NHR) in individuals who resided in German nursing homes. One analytic sample included 137 nursing home residents (mean age, 83.3xa0years; SD, 8.0xa0years) without any missing values. An extended sample also included individuals with previous missing values that were substituted with the personal mean (nxa0=xa0163; mean age, 83.3xa0years; SD, 8.3xa0years). Principal axis factoring with oblimin rotation was used to compute the final 2-factor solution for the substituted sample. These factors explained 71.7% of the variance. Internal consistency was calculated using Cronbach α, and showed excellent results. Concurrent validity was tested using nonparametric correlation analyses of the BPI-NHR with the pain medication scale. The present findings support the reliability and validity of the BPI-NHR for very old nursing home residents. Further evaluation of this measure is needed to examine face validity and the effect of multimorbidity on pain interference with function.nnnPERSPECTIVEnIn this article we present psychometric properties of the BPI originally developed to assess cancer pain, extended to measure chronic nonmalignant pain in younger and middle-aged patients, and now further developed to measure pain intensity and interference with function among very old nursing home residents. Thus, the BPI-NHR might assist clinicians and researchers interested in assessment of pain intensity and interference in elderly individuals who reside in nursing homes.

Physician Contacts and Their Influence on the Appropriateness of Pain Medication in Nursing Home Residents: A Cross-Sectional Study

OBJECTIVESnThis study assessed the frequency of physician contacts for individual nursing home residents (NHRs) and investigated whether the frequency of contacts influences the appropriateness of pain medication in NHRs.nnnDESIGNnObservational cross-sectional study conducted between March 2009 and Aprilxa02010.nnnSETTINGnForty nursing homes in Berlin and Brandenburg, Germany.nnnPARTICIPANTSnA total of 560 NHRs.nnnMEASUREMENTSnThe number and type of NHR physician contacts were obtained by face-to-face interviews. To assess the appropriateness of pain medication, the German version of the Pain Medication Appropriateness Scale (PMASD) was used. The influence of physician contacts on the appropriateness of pain medication was calculated with a linear mixed-effect model.nnnRESULTSnThe proportions of NHRs with at least 1 contact with their attending physicians were 61.8% (primary care physicians), 55.2% (general practitioners), 9.6% (neurologists), 9.4% (other), 5.4% (internists), 2.2% (orthopedic surgeons), and 0.7% (psychiatrists). The number of all physician contacts correlated weakly with the appropriateness of pain medication (rxa0=xa00.166, Pxa0=xa0.039). With every physician contact, the PMASD score rose by about 2 points (Pxa0=xa0.056).nnnCONCLUSIONSnPhysician care in German nursing homes is mainly provided by primary care physicians. A higher number of physician contacts had a modest impact on more appropriate pain medication use.

The failure of meta-analytic asymptotics for the seemingly efficient estimator of the common risk difference

We consider the case of a multicenter trial in which the center specific sample sizes are potentially small. Under homogeneity, the conventional procedure is to pool information using a weighted estimator where the weights used are inverse estimated center-specific variances. Whereas this procedure is efficient for conventional asymptotics (e. g. center-specific sample sizes become large, number of center fixed), it is commonly believed that the efficiency of this estimator holds true also for meta-analytic asymptotics (e.g. center-specific sample size bounded, potentially small, and number of centers large). In this contribution we demonstrate that this estimator fails to be efficient. In fact, it shows a persistent bias with increasing number of centers showing that it isnot meta-consistent. In addition, we show that the Cochran and Mantel-Haenszel weighted estimators are meta-consistent and, in more generality, provide conditions on the weights such that the associated weighted estimator is meta-consistent.

Falls Self-Efficacy in German Nursing Home Residents: Assessment of Validity and Determination of a Cutoff Point.

Approximately one in every two German nursing home residents falls at least once in a 1-year period and just as many report a fear of falling. It has been hypothesized that falls self-efficacy mediates the relationship between fear of falling and functional ability. The aim of the current study was to develop the German Nursing Home Falls Self-Efficacy Scale, examine its validity, and estimate a cutoff point to differentiate nursing home residents with low or high falls self-efficacy. Nursing home residents were assessed at baseline (n = 178, mean age = 83.7 years) and 6-month follow up (n = 115, mean age = 83.9 years). Factorial and construct validity analyses provided preliminary support for the validity of the scale. A cutoff point of 11.5 was generated by receiver operating characteristic curve analysis. This scale may assist health care professionals in differentiating between nursing home residents with low and high falls self-efficacy and supporting residents in providing appropriate interventions. [Res Gerontol Nurs. 2016; 9(3):134-144.].

Pain, Fear of Falling, and Functional Performance Among Nursing Home Residents: A Longitudinal Study:

The aim of this study was to analyze the impact of being pain-affected and fear of falling on functional performance among nursing home residents, longitudinally. We used 6-month follow-up data from a cluster-randomized trial of 12 nursing homes (cluster level) with 239 nursing home residents at baseline (mean age, 95% confidence interval [CI] = 83.04 [81.40, 84.69], 70% women). The longitudinal analysis provided data on pain, fear of falling, functional mobility, and activities of daily living (individual level). The data revealed a trend indicating that pain-relieved nursing home residents showed better functional mobility over time. The results on fear of falling demonstrate obvious differences in the functional performance of nursing home residents cross-sectionally but not longitudinally. Nevertheless, the results underline the importance of an effective pain treatment to prevent decline in functional mobility among nursing home residents. Further longitudinal surveys are needed to verify the findings on functional performance.