We understand there to be three approaches we can take here: 1 - Generalised numbers: In this approach we would specify and approximate range for the nurse staff count e.g. 0-5, 5-10 etc. 2 - Aggregated numbers: In this approach we would specify an exact (e.g. 12) count of the nurses who work at the facility, without providing any breakdown as to their speciality. 3 - Specific numbers: In this approach we would specify exact numbers per discipline e.g. 2 Certified nursing assistants (CNAs), 4 Nurse Practitioners (NPs), 5 Certified Nurse Midwives (CNMs) etc.
Whilst 3 would probably be the idea we need to approach this in terms of how likely we are going to be able to collect the data with rea,sonable effort and potentially limited access. In our approach we would like to work together with health ministries and staff from organisations in the health cluster such as WHO or MSF which would grant us more organisational access than a casual OSM user might typically have. There are also issues with data maintenance that we should consider - how do we ensure the information provided is current and correct (this is also raised in the nurses section below). Thus we have some dynamic tension between the desire to be completely accurate and current, whilst still keeping our mapping goals attainable and practical. Our proposed strategy to deal with this dilemma is to take an incremental approach: establish a simple, workable, model to start with and start populating it to keep momentum. Concurrently we will work on improving the data model based on feedback from the people who would like to use the data and the feedback of those collecting the data. So may we propose that 2) above (aggregated numbers) would provide an attainable and useful initial start and work with that whilst concurrently engaging in discussions on how a richer, more useful data model might look that we could adopt in the future? ᐧ On Thu, 20 Jun 2019 at 08:13, Joseph Eisenberg <joseph.eisenb...@gmail.com> wrote: > 2) "staff_count:nurses=" > > *A. Source of information for this tag? > > How should individual mappers find out the number of nurses at a > healthcare facility? If this information is imported from an external > source, how can it be kept up-to-date? > > Most clinics in the USA do not show a list of nurses who work at the > facility. While large hospitals may provide this information to the > government, it may not be easy to find. > > Here in Indonesia there is often an organizational chart at the clinic > which shows the staff who are supposed to work at the facility, but > often only 1 or 2 or 0 of these staff members will actually be in the > clinic on any given week. Sometimes they have been gone all year > > *B. Total staff or average number each day? > > Should this number be the total number of nurses employed at the > facility or the total who are working each day? > > *C. RNs, CNAs, NPs, Midwives? > > In some countries there are many types of nurses. For example in the > USA there are RNs (Registered Nurses), CNAs (certified nursing > assistants), NPs (Nurse Practitioners), Nurse midwives, etc. - and > here in Indonesia there are midwives, official nurses, and lower-level > nursing care providers. > > Which of these categories is to be included in the number of nurses? > > -Joseph Eisenberg M.D. > > On 6/20/19, Mhairi O'Hara <mhairi.oh...@hotosm.org> wrote: > > Hello Tagging Mailing List, > > > > We would like to bring your attention and comments on the proposal for > the > > staff_count:doctors and staff_count:nurses tags, which helps identify the > > number of doctors and nurses at a given health facility [1][2]. The > > operational_status tag, which has been proposed before and I would like > to > > highlight again, as this is used to document an observation of the > current > > functional status of a mapped feature (i.e. health facility) [3]. The > > health_amenity:type tag is also being proposed, as this indicates what > type > > of speciality medical equipment is available at the health facility [4] > and > > the final tag is insurance:health which describes the type of health > > insurance accepted at a health facility [5]. > > > > Some of these are already in use but have never been formally accepted, > or > > properly described as to how they should be applied, which we would like > to > > try and achieve if possible for the Healthsites.io project. Please take a > > look at the proposal pages on the OSM Wiki, as well as the Global > > Healthsites Mapping Project page [2] which is at the core of the recent > > work focused on creating a health facility data model. We look forward to > > discussing these proposals on the respective Wiki discussion pages. > > > > Kind regards, > > > > Mhairi > > > > [1] > > > https://wiki.openstreetmap.org/wiki/Proposed_features/Tag:staff_count:doctors > > [2] > > > https://wiki.openstreetmap.org/wiki/Proposed_features/Tag:staff_count:nurses > > [3] > > > https://wiki.openstreetmap.org/wiki/Proposed_features/Tag:operational_status > > [4] > > > https://wiki.openstreetmap.org/wiki/Proposed_features/Tag:health_amenity:type > > [5] > > > https://wiki.openstreetmap.org/wiki/Proposed_features/Tag:insurance:health > > [6] > > > https://wiki.openstreetmap.org/wiki/Global_Healthsites_Mapping_Project#Tag_Proposal > > > > > > -- > > *Mhairi O'Hara* > > Project Manager > > mhairi.oh...@hotosm.org > > @mataharimhairi > > > > > > *Humanitarian OpenStreetMap Team* > > *Using OpenStreetMap for Humanitarian Response & Economic Development* > > web <http://hotosm.org/> > > | twitter <https://twitter.com/hotosm> > > | facebook <https://www.facebook.com/hotosm> > > | donate <http://hotosm.org/donate> > > > -- Kind regards Mark Herringer www.healthsites.io https://medium.com/healthsites-io @sharehealthdata <https://twitter.com/sharehealthdata>
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