Is migration kin structured?

Journal ArticleWe estimate the strength of kin-structured migration in six human populations (five from New Guinea and one from Finland) and in one population of nonhuman primates. We also test the hypothesis that migration is not kin structured by generating a sampling distribution of the estimator under the null hypothesis of independent random migration. We are unable to detect a statistically significant level of kin-structured migration in any population. However, five of our six human populations were from Papua New Guinea, and we cannot dismiss the possibility that migration is kin structured in other parts of the world

Recognition map analysis and crop acreage estimation using Skylab EREP data

There are no author-identified significant results in this report

Providers’ perceptions of the implementation of a performance measurement system for substance abuse treatment: A process evaluation of the Service Quality Measures initiative

Background. In South Africa, concerns exist about the quality of substance abuse treatment. We developed a performance measurement system, known as the Service Quality Measures (SQM) initiative, to monitor the quality of treatment and assess efforts to improve quality of care. In 2014, the SQM system was implemented at six treatment sites to evaluate how implementation protocols could be improved in preparation for wider roll-out.Objective. To describe providers’ perceptions of the feasibility and acceptability of implementing the SQM system, including barriers to and facilitators of implementation.Methods. We conducted 15 in-depth interviews (IDIs) with treatment providers from six treatment sites (two sites in KwaZulu-Natal and four in the Western Cape). Providers were asked about their experiences in implementing the system, the perceived feasibility of the system, and barriers to implementation. All IDIs were audio-recorded and transcribed verbatim. A framework approach was used to analyse the data.Results. Providers reported that the SQM system was feasible to implement and acceptable to patients and providers. Issues identified through the IDIs included a perceived lack of clarity about sequencing of key elements in the implementation of the SQM system, questions on integration of the system into clinical care pathways, difficulties in tracking patients through the system, and concerns about maximising patient participation in the process.Conclusion. Findings suggest that the SQM system is feasible to implement and acceptable to providers, but that some refinements to the implementation protocols are needed to maximise patient participation and the likelihood of sustained implementation

Economic evaluation of crop acreage estimation by multispectral remote sensing

The author has identified the following significant results. Photointerpretation of S190A and S190B imagery showed significantly better resolution with the S190B system. A small tendancy to underestimate acreage was observed. This averaged 6 percent and varied with field size. The S190B system had adequate resolution for acreage measurement but the color film did not provide adequate contrast to allow detailed classification of ground cover from imagery of a single date. In total 78 percent of the fields were correctly classified but with 56 percent correct for the major crop, corn

Readiness to adopt a performance measurement system for substance abuse treatment: Findings from the Service Quality Measures initiative

Background. A performance measurement system – the Service Quality Measures (SQM) initiative – has been developed to monitor the quality of South Africa (SA)’s substance abuse treatment services. Identifying factors associated with readiness to adopt this system may inform strategies to facilitate its robust implementation.Objective. To examine factors associated with readiness to adopt a performance measurement system among SA substance abuse treatment providers.Methods. We surveyed 81 treatment providers from 13 treatment sites in the Western Cape, SA. The survey examined awareness, resources, organisational climate, leadership support and readiness to adopt the SQM system. Regression analysis was used to identify factors associated with readiness to adopt this system.Results. Readiness to adopt the SQM initiative was high (M=5.64, standard deviation 1.63). In bivariate analyses, caseload size (F=3.73 (degrees of freedom (df)=3.70), p=0.015), awareness (r=0.78, p<0.0001), leadership support (r=0.70, p<0.0001), resources (r=0.65, p<0.0001), openness to change (r=0.372, p=0.001), and external pressure to change were associated with readiness to adopt the SQM. In multivariate analyses, only awareness of the SQM initiative (B=0.34, standard error (SE) 0.08, t=4.4, p<0.0001) and leadership support (B=0.45, SE 0.11, t=4.0, p<0.0001) were significantly associated with readiness to adopt this system.Conclusion. While treatment providers report high levels of readiness to adopt the SQM system, findings show that the likelihood of adoption can be further increased through improved provider awareness and enhanced leadership support for this health innovation

Investigation of Skylab data

There are no author-identified significant results in this report

Investigation of Skylab data

There are no author-identified significant results in this report